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Métodos para reducir la pérdida sanguínea durante la resección hepática: un metanálisis en red

Appendices

Appendix 1. Search strategies

Database

Time span

Search strategy

The Central Register of Controlled Trials (CENTRAL)

2015, Issue 9

1. Blood loss OR bleeding OR hemorrhage OR haemorrhage OR hemorrhages OR haemorrhages OR hemostasis OR haemostasis OR transfusion
2. MeSH descriptor Hemorrhage explode all trees
3. MeSH descriptor Blood Transfusion explode all trees
4. (#1 OR #2 OR #3)
5. Liver OR hepatic OR hepato*
6. MeSH descriptor Liver explode all trees
7. (5 OR 6)
8. Resection OR resections OR segmentectomy OR segmentectomies
9. (7 AND 8)
10. Hepatectomy OR hepatectomies

11. MeSH descriptor Hepatectomy explode all trees

12. (9 OR 10 OR 11)
13. (4 AND 12)

MEDLINE (PubMed)

January 1947 to September 2015

(Blood loss OR bleeding OR hemorrhage OR haemorrhage OR hemorrhages OR haemorrhages OR hemostasis OR haemostasis OR transfusion OR "Hemorrhage" [MeSH] OR "Blood Transfusion" [MeSH]) AND (((liver OR hepatic OR hepato* OR "liver" [MeSH]) AND (resection OR resections OR segmentectomy OR segmentectomies)) OR hepatectomy OR hepatectomies OR "hepatectomy" [MeSH]) AND ((randomized controlled trial [pt] OR controlled clinical trial [pt] OR randomized [tiab] OR placebo [tiab] OR drug therapy [sh] OR randomly [tiab] OR trial [tiab] OR groups [tiab]) NOT (animals [mh] NOT humans [mh]))

Embase (OvidSP)

January 1974 to September 2015

1. (Blood loss or bleeding or hemorrhage or haemorrhage or hemorrhages or haemorrhages or hemostasis or haemostasis or transfusion).af 
2. Exp bleeding/or exp blood transfusion/ 
3 .1 or 2
4. (Liver or hepatic or hepato*).af
5. (Resection or resections or segmentectomy or segmentectomies).af
6. 4 and 5
7. (Hepatectomy or hepatectomies).af
8. Exp Liver Resection/
9. 6 or 7 or 8
10. 3 and 9
11. Exp crossover‐procedure/or exp double‐blind procedure/or exp randomized controlled trial/or single‐blind procedure/ 

12. (Random* OR factorial* OR crossover* OR cross over* OR cross‐over* OR placebo* OR double* adj blind* OR single* adj blind* OR assign* OR allocat* OR volunteer*).af

13. 11 OR 12

14. 10 AND 13

Science Citation Index Expanded (Web of Science)

January 1945 to September 2015

1. TS=(Blood loss OR bleeding OR hemorrhage OR haemorrhage OR hemorrhages OR haemorrhages OR hemostasis OR haemostasis OR transfusion)
2. TS=((liver OR hepatic OR hepato*) AND (resection OR resections OR segmentectomy OR segmentectomies) OR hepatectomy OR hepatectomies)
3. TS=(random* OR rct* OR crossover OR masked OR blind* OR placebo* OR meta‐analysis OR systematic review* OR meta‐analys*)
4. 1 AND 2 AND 3

World Health Organization International Clinical Trials Registry Platform Search Portal (www.who.int/ictrp)

September 2015

Liver resection OR hepatectomy

Appendix 2. WinBUGS code

Binary outcome

Binary outcome ‐ fixed‐effect model

# Binomial likelihood, logit link
# Fixed effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dbin(p[i,k],n[i,k]) # binomial likelihood
# model for linear predictor
logit(p[i,k]) <‐ mu[i] + d[t[i,k]] ‐ d[t[i,1]]
# expected value of the numerators
rhat[i,k] <‐ p[i,k] * n[i,k]
#Deviance contribution
dev[i,k] <‐ 2 * (r[i,k] * (log(r[i,k])‐log(rhat[i,k]))
+ (n[i,k]‐r[i,k]) * (log(n[i,k]‐r[i,k]) ‐ log(n[i,k]‐rhat[i,k])))
}
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }

# pair wise ORs and LORs for all possible pair‐wise comparisons, if nt>2
for (c in 1:(nt‐1)) {
for (k in (c+1):nt) {
or[c,k] <‐ exp(d[k] ‐ d[c])
lor[c,k] <‐ (d[k]‐d[c])
}
}
# ranking on relative scale
for (k in 1:nt) {
# rk[k] <‐ nt+1‐rank(d[],k) # assumes events are “good”
rk[k] <‐ rank(d[],k) # assumes events are “bad”
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}
} # *** PROGRAM ENDS

Binary outcome ‐ random‐effects model

# Binomial likelihood, logit link
# Random effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
w[i,1] <‐ 0 # adjustment for multi‐arm trials is zero for control arm
delta[i,1] <‐ 0 # treatment effect is zero for control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dbin(p[i,k],n[i,k]) # binomial likelihood
logit(p[i,k]) <‐ mu[i] + delta[i,k] # model for linear predictor
rhat[i,k] <‐ p[i,k] * n[i,k] # expected value of the numerators
#Deviance contribution
dev[i,k] <‐ 2 * (r[i,k] * (log(r[i,k])‐log(rhat[i,k]))
+ (n[i,k]‐r[i,k]) * (log(n[i,k]‐r[i,k]) ‐ log(n[i,k]‐rhat[i,k]))) }
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific LOR distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of LOR distributions (with multi‐arm trial correction)
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]] + sw[i,k]
# precision of LOR distributions (with multi‐arm trial correction)
taud[i,k] <‐ tau *2*(k‐1)/k
# adjustment for multi‐arm randomised clinical trialss
w[i,k] <‐ (delta[i,k] ‐ d[t[i,k]] + d[t[i,1]])
# cumulative adjustment for multi‐arm trials
sw[i,k] <‐ sum(w[i,1:k‐1])/(k‐1)
}
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)

# pair wise ORs and LORs for all possible pair‐wise comparisons, if nt>2
for (c in 1:(nt‐1)) {
for (k in (c+1):nt) {
or[c,k] <‐ exp(d[k] ‐ d[c])
lor[c,k] <‐ (d[k]‐d[c])
}
}
# ranking on relative scale
for (k in 1:nt) {
# rk[k] <‐ nt+1‐rank(d[],k) # assumes events are “good”
rk[k] <‐ rank(d[],k) # assumes events are “bad”
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}

} # *** PROGRAM ENDS

Binary outcome ‐ inconsistency model (random‐effects)

# Binomial likelihood, logit link, inconsistency model
# Random effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
delta[i,1]<‐0 # treatment effect is zero in control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dbin(p[i,k],n[i,k]) # binomial likelihood
logit(p[i,k]) <‐ mu[i] + delta[i,k] # model for linear predictor
#Deviance contribution
rhat[i,k] <‐ p[i,k] * n[i,k] # expected value of the numerators
dev[i,k] <‐ 2 * (r[i,k] * (log(r[i,k])‐log(rhat[i,k]))
+ (n[i,k]‐r[i,k]) * (log(n[i,k]‐r[i,k]) ‐ log(n[i,k]‐rhat[i,k])))
}
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific LOR distributions
delta[i,k] ˜ dnorm(d[t[i,1],t[i,k]] ,tau)
}
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
for (c in 1:(nt‐1)) { # priors for all mean treatment effects
for (k in (c+1):nt) { d[c,k] ˜ dnorm(0,.0001) }
}
sd ˜ dunif(0,5) # vague prior for between‐trial standard deviation
var <‐ pow(sd,2) # between‐trial variance
tau <‐ 1/var # between‐trial precision
} # *** PROGRAM ENDS

Continuous outcome (mean difference)

Continuous outcome (mean difference) ‐ fixed‐effect model

# Normal likelihood, identity link
# Fixed effect model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
var[i,k] <‐ pow(se[i,k],2) # calculate variances
prec[i,k] <‐ 1/var[i,k] # set precisions
y[i,k] ˜ dnorm(theta[i,k],prec[i,k])
# model for linear predictor
theta[i,k] <‐ mu[i] + d[t[i,k]] ‐ d[t[i,1]]
#Deviance contribution
dev[i,k] <‐ (y[i,k]‐theta[i,k])*(y[i,k]‐theta[i,k])*prec[i,k]
}
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
}
totresdev <‐ sum(resdev[]) #Total Residual Deviance
d[1]<‐0 # treatment effect is zero for control arm
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
# ranking on relative scale
for (k in 1:nt) {
rk[k] <‐ rank(d[],k) # assumes lower is better
# rk[k] <‐ nt+1‐rank(d[],k) # assumes lower outcome is worse
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}
} # *** PROGRAM ENDS

Continuous outcome (mean difference) ‐ random‐effects model

# Normal likelihood, identity link
# Random effects model for multi‐arm trials
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
w[i,1] <‐ 0 # adjustment for multi‐arm trials is zero for control arm
delta[i,1] <‐ 0 # treatment effect is zero for control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
var[i,k] <‐ pow(se[i,k],2) # calculate variances
prec[i,k] <‐ 1/var[i,k] # set precisions
y[i,k] ˜ dnorm(theta[i,k],prec[i,k])
theta[i,k] <‐ mu[i] + delta[i,k] # model for linear predictor
#Deviance contribution
dev[i,k] <‐ (y[i,k]‐theta[i,k])*(y[i,k]‐theta[i,k])*prec[i,k]
}
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific MD distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of MD distributions, with multi‐arm trial correction
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]] + sw[i,k]
# precision of MD distributions (with multi‐arm trial correction)
taud[i,k] <‐ tau *2*(k‐1)/k
# adjustment, multi‐arm randomised clinical trialss
w[i,k] <‐ (delta[i,k] ‐ d[t[i,k]] + d[t[i,1]])
# cumulative adjustment for multi‐arm trials
sw[i,k] <‐ sum(w[i,1:k‐1])/(k‐1)
}
}
totresdev <‐ sum(resdev[]) #Total Residual Deviance
d[1]<‐0 # treatment effect is zero for control arm
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)
# ranking on relative scale
for (k in 1:nt) {
rk[k] <‐ rank(d[],k) # assumes lower is better
# rk[k] <‐ nt+1‐rank(d[],k) # assumes lower outcome is worse
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}
} # *** PROGRAM ENDS

Continuous outcome (mean difference) ‐ inconsistency model (random‐effects)

# Normal likelihood, identity link
# Random effects model for multi‐arm trials
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
delta[i,1] <‐ 0 # treatment effect is zero for control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
var[i,k] <‐ pow(se[i,k],2) # calculate variances
prec[i,k] <‐ 1/var[i,k] # set precisions
y[i,k] ˜ dnorm(theta[i,k],prec[i,k]) # binomial likelihood
theta[i,k] <‐ mu[i] + delta[i,k] # model for linear predictor
#Deviance contribution
dev[i,k] <‐ (y[i,k]‐theta[i,k])*(y[i,k]‐theta[i,k])*prec[i,k]
}
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific MD distributions
delta[i,k] ˜ dnorm(d[t[i,1],t[i,k]] ,tau)
}
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
for (c in 1:(nt‐1)) { # priors for all mean treatment effects
for (k in (c+1):nt) { d[c,k] ˜ dnorm(0,.0001) }
}
sd ˜ dunif(0,5) # vague prior for between‐trial standard deviation
tau <‐ pow(sd,‐2) # between‐trial precision
} # *** PROGRAM ENDS

Continuous outcome (standardised mean difference)

We will calculate the standardised mean difference and its standard error for each treatment comparison using the statistical algorithms used by RevMan 2014.

Continuous outcome (standardised mean difference) ‐ fixed‐effect model

# Normal likelihood, identity link
# Trial‐level data given as treatment differences
# Fixed effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns2) { # LOOP THROUGH 2‐ARM trials
y[i,2] ˜ dnorm(delta[i,2],prec[i,2]) # normal likelihood for 2‐arm trials
#Deviance contribution for trial i
resdev[i] <‐ (y[i,2]‐delta[i,2])*(y[i,2]‐delta[i,2])*prec[i,2]
}
for(i in (ns2+1):(ns2+ns3)) { # LOOP THROUGH THREE‐ARM trials
for (k in 1:(na[i]‐1)) { # set variance‐covariance matrix
for (j in 1:(na[i]‐1)) {
Sigma[i,j,k] <‐ V[i]*(1‐equals(j,k)) + var[i,k+1]*equals(j,k)
}
}
Omega[i,1:(na[i]‐1),1:(na[i]‐1)] <‐ inverse(Sigma[i,,]) #Precision matrix
# multivariate normal likelihood for 3‐arm trials
y[i,2:na[i]] ˜ dmnorm(delta[i,2:na[i]],Omega[i,1:(na[i]‐1),1:(na[i]‐1)])
#Deviance contribution for trial i
for (k in 1:(na[i]‐1)){ # multiply vector & matrix
ydiff[i,k]<‐ y[i,(k+1)] ‐ delta[i,(k+1)]
z[i,k]<‐ inprod2(Omega[i,k,1:(na[i]‐1)], ydiff[i,1:(na[i]‐1)])
}
resdev[i]<‐ inprod2(ydiff[i,1:(na[i]‐1)], z[i,1:(na[i]‐1)])
}
for(i in 1:(ns2+ns3)){ # LOOP THROUGH ALL trials
for (k in 2:na[i]) { # LOOP THROUGH ARMS
var[i,k] <‐ pow(se[i,k],2) # calculate variances
prec[i,k] <‐ 1/var[i,k] # set precisions
delta[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]]
}
}
totresdev <‐ sum(resdev[]) #Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
# ranking on relative scale
for (k in 1:nt) {
rk[k] <‐ nt+1‐rank(d[],k) # assumes higher HRQoL is “good”
#rk[k] <‐ rank(d[],k) # assumes higher outcome is “bad”
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}
} # *** PROGRAM ENDS

Continuous outcome (standardised mean difference) ‐ random‐effects model

# Normal likelihood, identity link
# Trial‐level data given as treatment differences
# Random effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns2) { # LOOP THROUGH 2‐ARM trials
y[i,2] ˜ dnorm(delta[i,2],prec[i,2]) # normal likelihood for 2‐arm trials
#Deviance contribution for trial i
resdev[i] <‐ (y[i,2]‐delta[i,2])*(y[i,2]‐delta[i,2])*prec[i,2]
}
for(i in (ns2+1):(ns2+ns3)) { # LOOP THROUGH THREE‐ARM trials
for (k in 1:(na[i]‐1)) { # set variance‐covariance matrix
for (j in 1:(na[i]‐1)) {
Sigma[i,j,k] <‐ V[i]*(1‐equals(j,k)) + var[i,k+1]*equals(j,k)
}
}
Omega[i,1:(na[i]‐1),1:(na[i]‐1)] <‐ inverse(Sigma[i,,]) #Precision matrix
# multivariate normal likelihood for 3‐arm trials
y[i,2:na[i]] ˜ dmnorm(delta[i,2:na[i]],Omega[i,1:(na[i]‐1),1:(na[i]‐1)])
#Deviance contribution for trial i
for (k in 1:(na[i]‐1)){ # multiply vector & matrix
ydiff[i,k]<‐ y[i,(k+1)] ‐ delta[i,(k+1)]
z[i,k]<‐ inprod2(Omega[i,k,1:(na[i]‐1)], ydiff[i,1:(na[i]‐1)])
}
resdev[i]<‐ inprod2(ydiff[i,1:(na[i]‐1)], z[i,1:(na[i]‐1)])
}
for(i in 1:(ns2+ns3)){ # LOOP THROUGH ALL trials
w[i,1] <‐ 0 # adjustment for multi‐arm trials is zero for control arm
delta[i,1] <‐ 0 # treatment effect is zero for control arm
for (k in 2:na[i]) { # LOOP THROUGH ARMS
var[i,k] <‐ pow(se[i,k],2) # calculate variances
prec[i,k] <‐ 1/var[i,k] # set precisions
}
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific SMD distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of random effects distributions, with multi‐arm trial correction
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]] + sw[i,k]
# precision of random effects distributions (with multi‐arm trial correction)
taud[i,k] <‐ tau *2*(k‐1)/k
# adjustment, multi‐arm randomised clinical trialss
w[i,k] <‐ (delta[i,k] ‐ d[t[i,k]] + d[t[i,1]])
# cumulative adjustment for multi‐arm trials
sw[i,k] <‐ sum(w[i,1:k‐1])/(k‐1)
}
}
totresdev <‐ sum(resdev[]) #Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)
# ranking on relative scale
for (k in 1:nt) {
rk[k] <‐ nt+1‐rank(d[],k) # assumes higher HRQoL is “good”
# rk[k] <‐ rank(d[],k) # assumes higher outcome is “bad”
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}
} # *** PROGRAM ENDS

Continuous outcome (standardised mean difference) ‐ inconsistency model (random‐effects)

# Normal likelihood, identity link
# Trial‐level data given as treatment differences
# Random effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns2) { # LOOP THROUGH 2‐ARM trials
y[i,2] ˜ dnorm(delta[i,2],prec[i,2]) # normal likelihood for 2‐arm trials
#Deviance contribution for trial i
resdev[i] <‐ (y[i,2]‐delta[i,2])*(y[i,2]‐delta[i,2])*prec[i,2]
}
for(i in (ns2+1):(ns2+ns3)) { # LOOP THROUGH THREE‐ARM trials
for (k in 1:(na[i]‐1)) { # set variance‐covariance matrix
for (j in 1:(na[i]‐1)) {
Sigma[i,j,k] <‐ V[i]*(1‐equals(j,k)) + var[i,k+1]*equals(j,k)
}
}
Omega[i,1:(na[i]‐1),1:(na[i]‐1)] <‐ inverse(Sigma[i,,]) #Precision matrix
# multivariate normal likelihood for 3‐arm trials
y[i,2:na[i]] ˜ dmnorm(delta[i,2:na[i]],Omega[i,1:(na[i]‐1),1:(na[i]‐1)])
#Deviance contribution for trial i
for (k in 1:(na[i]‐1)){ # multiply vector & matrix
ydiff[i,k]<‐ y[i,(k+1)] ‐ delta[i,(k+1)]
z[i,k]<‐ inprod2(Omega[i,k,1:(na[i]‐1)], ydiff[i,1:(na[i]‐1)])
}
resdev[i]<‐ inprod2(ydiff[i,1:(na[i]‐1)], z[i,1:(na[i]‐1)])
}
for(i in 1:(ns2+ns3)){ # LOOP THROUGH ALL trials
for (k in 2:na[i]) { # LOOP THROUGH ARMS
var[i,k] <‐ pow(se[i,k],2) # calculate variances
prec[i,k] <‐ 1/var[i,k] # set precisions
}
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific SMD distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of random effects distributions
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]]
# precision of random effects distributions
taud[i,k] <‐ tau *2*(k‐1)/k
}
}
totresdev <‐ sum(resdev[]) #Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)
} # *** PROGRAM ENDS

Count outcome

Count outcome ‐ fixed‐effect model

# Poisson likelihood, log link
# Fixed effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dpois(theta[i,k]) # Poisson likelihood
theta[i,k] <‐ lambda[i,k]*E[i,k] # failure rate * exposure
# model for linear predictor
log(lambda[i,k]) <‐ mu[i] + d[t[i,k]] ‐ d[t[i,1]]
#Deviance contribution
dev[i,k] <‐ 2*((theta[i,k]‐r[i,k]) + r[i,k]*log(r[i,k]/theta[i,k])) }
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
}
totresdev <‐ sum(resdev[]) #Total Residual Deviance
d[1]<‐0 # treatment effect is zero reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }

# pair wise RRs and LRRs for all possible pair‐wise comparisons, if nt>2
for (c in 1:(nt‐1)) {
for (k in (c+1):nt) {
rater[c,k] <‐ exp(d[k] ‐ d[c])
lrater[c,k] <‐ (d[k]‐d[c])
}
}
# ranking on relative scale
for (k in 1:nt) {
# rk[k] <‐ nt+1‐rank(d[],k) # assumes events are “good”
rk[k] <‐ rank(d[],k) # assumes events are “bad”
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}
} # *** PROGRAM ENDS

Count outcome ‐ random‐effects model

# Poisson likelihood, log link
# Random effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
w[i,1] <‐ 0 # adjustment for multi‐arm trials is zero for control arm
delta[i,1] <‐ 0 # treatment effect is zero for control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dpois(theta[i,k]) # Poisson likelihood
theta[i,k] <‐ lambda[i,k]*E[i,k] # failure rate * exposure
# model for linear predictor
log(lambda[i,k]) <‐ mu[i] + d[t[i,k]] ‐ d[t[i,1]]
#Deviance contribution
dev[i,k] <‐ 2*((theta[i,k]‐r[i,k]) + r[i,k]*log(r[i,k]/theta[i,k])) }
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific LOR distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of LOR distributions (with multi‐arm trial correction)
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]] + sw[i,k]
# precision of LOR distributions (with multi‐arm trial correction)
taud[i,k] <‐ tau *2*(k‐1)/k
# adjustment for multi‐arm randomised clinical trialss
w[i,k] <‐ (delta[i,k] ‐ d[t[i,k]] + d[t[i,1]])
# cumulative adjustment for multi‐arm trials
sw[i,k] <‐ sum(w[i,1:k‐1])/(k‐1)
}
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)

# pair wise ORs and LORs for all possible pair‐wise comparisons, if nt>2
for (c in 1:(nt‐1)) {
for (k in (c+1):nt) {
or[c,k] <‐ exp(d[k] ‐ d[c])
lor[c,k] <‐ (d[k]‐d[c])
}
}
# ranking on relative scale
for (k in 1:nt) {
# rk[k] <‐ nt+1‐rank(d[],k) # assumes events are “good”
rk[k] <‐ rank(d[],k) # assumes events are “bad”
best[k] <‐ equals(rk[k],1) #calculate probability that treat k is best
for (h in 1:nt){ prob[h,k] <‐ equals(rk[k],h) } # calculates probability that treat k is h‐th best
}

} # *** PROGRAM ENDS

Count outcome ‐ inconsistency model (random‐effects)

# Poisson likelihood, log link
# Random effects model
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
delta[i,1] <‐ 0 # treatment effect is zero for control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dpois(theta[i,k]) # Poisson likelihood
theta[i,k] <‐ lambda[i,k]*E[i,k] # failure rate * exposure
# model for linear predictor
log(lambda[i,k]) <‐ mu[i] + d[t[i,k]] ‐ d[t[i,1]]
#Deviance contribution
dev[i,k] <‐ 2*((theta[i,k]‐r[i,k]) + r[i,k]*log(r[i,k]/theta[i,k])) }
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific LOR distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of LRR distributions (without multi‐arm trial correction)
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]]
# precision of LOR distributions (without multi‐arm trial correction)
taud[i,k] <‐ tau *2*(k‐1)/k
}
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
# vague priors for treatment effects
for (k in 2:nt){ d[k] ˜ dnorm(0,.0001) }
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)
} # *** PROGRAM ENDS

Appendix 3. Raw data

Legend

Binary outcomes

# ns= number of studies; nt=number of treatments; t[,1] indicates control and t[,2] indicates intervention. In a three‐arm trial, t[,3] indicates the second intervention. r[,1] indicates the number with events in the control group; n[,1] indicates the total number of people in the control group. r[,2], n[,2], r[,3], and n[,3] indicate the corresponding numbers for intervention and second intervention. In two‐arm trials, r[,3] and n[,3] will be entered as 'NA' to indicate empty cells. na[] indicates the number of arms in the trial. Study indicates the study name and is for reference only.

# Continuous outcomes

# ns= number of studies; nt=number of treatments; t[,1] indicates control and t[,2] indicates intervention. In a three‐arm trial, t[,3] indicates the second intervention. y[,1] indicates the mean in the control group; se[,1] indicates the standard error in the control group. y[,2], se[,2], y[,3], and se[,3] indicate the corresponding numbers for intervention and second intervention. In two‐arm trials, y[,3] and se[,3] will be entered as 'NA' to indicate empty cells. na[] indicates the number of arms in the trial. Study indicates the study name and is for reference only.

# Count outcomes

# ns= number of studies; nt=number of treatments; t[,1] indicates control and t[,2] indicates intervention. In a three‐arm trial, t[,3] indicates the second intervention. r[,1] indicates the number of events in the control group; E[,1] indicates the total number of people in the control group. r[,2], E[,2], r[,3], and E[,3] indicate the corresponding numbers for intervention and second intervention. In two‐arm trials, r[,3] and E[,3] will be entered as 'NA' to indicate empty cells. na[] indicates the number of arms in the trial. Study indicates the study name and is for reference only.

Cardiopulmonary interventions

#Blood_transfusion_red blood cell; treatment codes: 1 = Control; 2 = ANH; 3 = ANH_Hypotension; 4 = ANH_Lowcentral venous pressure; 5 = Lowcentral venous pressure.

list(nt=5,ns=6)

y[,1]

se[,1]

y[,2]

se[,2]

y[,3]

se[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

1.6625

0.2

0.4175

0.16

0

0.01

1

2

3

3

#Yao 2006

0.8775

0.05

1.145

0.12

NA

NA

1

4

NA

2

#Guo 2013

2.75

0.4

1.3

0.075

NA

NA

1

5

NA

2

#El‐Kharboutly 2004

3.215

0.58

1.3125

0.12

NA

NA

1

5

NA

2

#Wang 2006

0.44

0.37

0.7

0.35

NA

NA

4

5

NA

2

#Jarnagin 2008

0

0.47

0

0.47

NA

NA

4

5

NA

2

#Matot 2002

END

#Blood_loss; treatment codes: 1 = Control; 2 = ANH; 3 = ANH_Hypotension; 4 = ANH_Lowcentral venous pressure; 5 = Hypoventilation; 6 = Lowcentral venous pressure.

list(nt=6,ns=9)

y[,1]

se[,1]

y[,2]

se[,2]

y[,3]

se[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

0.651

0.01

0.654

0.05

0.404

0.06

1

2

3

3

#Yao 2006

0.711

0.02

0.735

0.02

NA

NA

1

4

NA

2

#Guo 2013

0.63

0.41

0.63

0.4

NA

NA

1

5

NA

2

#Hasegawa 2002

0.783

0.08

0.589

0.07

NA

NA

1

6

NA

2

#Choi 2007

1.021

0.07

0.49

0.06

NA

NA

1

6

NA

2

#El‐Kharboutly 2004

0.584

0.1

0.499

0.1

NA

NA

1

6

NA

2

#Kato 2008

2.329

0.51

0.904

0.04

NA

NA

1

6

NA

2

#Wang 2006

0.8

0.09

0.7

0.09

NA

NA

4

6

NA

2

#Jarnagin 2008

0.75

0.41

0.89

0.41

NA

NA

4

6

NA

2

#Matot 2002

END

Methods of parenchymal transection

#Adverse_events_proportion; treatment codes: 1 = ClampCrush; 2 = cavitron ultrasonic surgical aspirator; 3 = Hydrojet; 4 = RFDS; 5 = SharpTransection; 6 = Stapler.

list(nt=6,ns=8)

r[,1]

n[,1]

r[,2]

n[,2]

r[,3]

n[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

15

20

7

20

10

20

1

2

4

3

#Doklestic 2012

17

25

25

25

NA

NA

1

2

NA

2

#Koo 2005

14

66

20

66

NA

NA

1

2

NA

2

#Takayama 2001

7

40

9

40

NA

NA

1

4

NA

2

#Arita 2005

17

50

18

50

NA

NA

1

4

NA

2

#Muratore 2014

16

41

17

41

NA

NA

1

5

NA

2

#Smyrniotis 2005

30

65

31

65

NA

NA

1

6

NA

2

#Rahbari 2014

8

30

3

31

NA

NA

2

3

NA

2

#Rau 2001

END

#Adverse_events_number; treatment codes: 1 = ClampCrush; 2 = Cavitron ultrasonic surgical aspirator; 3 = Hydrojet; 4 = RFDS; 5 = SharpTransection; 6 = Stapler.

list(nt=6,ns=7)

r[,1]

E[,1]

r[,2]

E[,2]

r[,3]

E[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

16

66

25

66

NA

NA

1

2

NA

2

#Takayama 2001

7

40

9

40

NA

NA

1

4

NA

2

#Arita 2005

11

60

15

60

NA

NA

1

4

NA

2

#Ikeda 2009

2

26

12

24

NA

NA

1

4

NA

2

#Lupo 2007

16

41

18

41

NA

NA

1

5

NA

2

#Smyrniotis 2005

8

25

7

25

9

25

2

3

4

3

#Lesurtel 2005

19

50

22

50

NA

NA

2

6

NA

2

#Savlid 2013

END

#Blood_transfusion_proportion; treatment codes: 1 = ClampCrush; 2 = Cavitron ultrasonic surgical aspirator; 3 = Hydrojet; 4 = RFDS; 5 = SharpTransection.

list(nt=5,ns=8)

r[,1]

n[,1]

r[,2]

n[,2]

r[,3]

n[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

2

20

3

20

4

20

1

2

4

3

#Doklestic 2012

1

66

1

66

NA

NA

1

2

NA

2

#Takayama 2001

0

40

2

40

NA

NA

1

4

NA

2

#Arita 2005

2

60

2

60

NA

NA

1

4

NA

2

#Ikeda 2009

13

26

8

24

NA

NA

1

4

NA

2

#Lupo 2007

13

50

16

50

NA

NA

1

4

NA

2

#Muratore 2014

15

41

13

41

NA

NA

1

5

NA

2

#Smyrniotis 2005

8

25

8

25

5

25

2

3

4

3

#Lesurtel 2005

END

Methods of vascular occlusion

#Serious_adverse_events_proportion; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC.

list(nt=6,ns=8)

r[,1]

n[,1]

r[,2]

n[,2]

r[,3]

n[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

4

63

2

63

NA

NA

1

6

NA

2

#Capussotti 2006

9

63

14

63

NA

NA

1

6

NA

2

#Lee 2012

2

25

1

25

NA

NA

1

6

NA

2

#Park 2012

3

60

2

58

NA

NA

2

3

NA

2

#Chen 2006

2.5

81

0.5

81

NA

NA

3

4

NA

2

#Si‐Yuan 2014

22

60

12

60

NA

NA

3

5

NA

2

#Ni 2013

4

18

2

17

NA

NA

3

6

NA

2

#Capussotti 2003

1

40

4

40

NA

NA

5

6

NA

2

#Liang 2009

END

#Adverse_events_proportion; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.

list(nt=7,ns=12)

r[,1]

n[,1]

r[,2]

n[,2]

r[,3]

n[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

16

63

21

63

NA

NA

1

6

NA

2

#Capussotti 2006

15

63

26

63

NA

NA

1

6

NA

2

#Lee 2012

15

50

13

50

NA

NA

1

6

NA

2

#Man 1997

9

20

5

20

NA

NA

1

6

NA

2

#Man 2003

19

60

17

58

NA

NA

2

3

NA

2

#Chen 2006

17

80

9

80

NA

NA

3

4

NA

2

#Si‐Yuan 2014

24

60

13

60

NA

NA

3

5

NA

2

#Ni 2013

13

42

11

44

NA

NA

3

6

NA

2

#Belghiti 1999

4

18

2

17

NA

NA

3

6

NA

2

#Capussotti 2003

9

40

8

40

NA

NA

5

6

NA

2

#Liang 2009

15

39

12

41

NA

NA

6

7

NA

2

#Figueras 2005

8

28

10

30

NA

NA

6

7

NA

2

#Wu 2002

END

#Blood_transfusion_proportion; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.

list(nt=7,ns=13)

r[,1]

n[,1]

r[,2]

n[,2]

r[,3]

n[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

6

15

1

19

NA

NA

1

3

NA

2

#Chouker 2004

1

63

8

63

NA

NA

1

6

NA

2

#Capussotti 2006

9

63

14

63

NA

NA

1

6

NA

2

#Lee 2012

29

50

18

50

NA

NA

1

6

NA

2

#Man 1997

19

20

12

20

NA

NA

1

6

NA

2

#Man 2003

8

60

27

58

NA

NA

2

3

NA

2

#Chen 2006

22

80

13

80

NA

NA

3

4

NA

2

#Si‐Yuan 2014

4

60

6

60

NA

NA

3

5

NA

2

#Ni 2013

12

42

14

44

NA

NA

3

6

NA

2

#Belghiti 1999

5

18

5

17

NA

NA

3

6

NA

2

#Capussotti 2003

15

40

14

40

NA

NA

5

6

NA

2

#Liang 2009

4

39

6

41

NA

NA

6

7

NA

2

#Figueras 2005

12

28

5

30

NA

NA

6

7

NA

2

#Wu 2002

END

#Blood_transfusion_red blood cell; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.

list(nt=7,ns=10)

y[,1]

se[,1]

y[,2]

se[,2]

y[,3]

se[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

1.9

1.02

1.3

0.85

NA

NA

1

3

NA

2

#Clavien 1996

1.5

0.45

0

0.45

NA

NA

1

6

NA

2

#Man 1997

2.5

0.64

2.9

0.8

NA

NA

2

3

NA

2

#Belghiti 1996

2.2

0.42

1

0.42

NA

NA

3

4

NA

2

#Si‐Yuan 2014

1.4

0.05

1.2

0.03

NA

NA

3

5

NA

2

#Ni 2013

3

0.4

2.3

0.39

NA

NA

3

6

NA

2

#Belghiti 1999

0.5

0.02

0.5

0.27

NA

NA

3

6

NA

2

#Capussotti 2003

1.3675

0.09

1.4825

0.15

NA

NA

5

6

NA

2

#Liang 2009

0.36

0.16

0.34

0.14

NA

NA

6

7

NA

2

#Figueras 2005

2.5425

0.26

2.24

0.4

NA

NA

6

7

NA

2

#Wu 2002

END

#Blood_loss; treatment codes: 1 = Control; 2 = ConHVE; 3 = ConPTC; 4 = ConSelectiveHVE; 5 = ConSelectivePTC; 6 = IntPTC; 7 = IntSelectivePTC.

list(nt=7,ns=16)

y[,1]

se[,1]

y[,2]

se[,2]

y[,3]

se[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

2.17

0.22

1.38

0.16

NA

NA

1

3

NA

2

#Chouker 2004

0.32

0.05

0.328

0.02

NA

NA

1

3

NA

2

#Dayangac 2010

0.671

0.32

0.65

0.16

NA

NA

1

3

NA

2

#Pietsch 2010

0.204

0.02

0.184

0.03

NA

NA

1

6

NA

2

#Capussotti 2006

0.489

0.06

0.488

0.07

NA

NA

1

6

NA

2

#Lee 2012

1.99

0.18

1.28

0.18

NA

NA

1

6

NA

2

#Man 1997

0.324

0.03

0.486

0.06

NA

NA

1

6

NA

2

#Park 2012

1.195

0.21

0.989

0.26

NA

NA

2

3

NA

2

#Belghiti 1996

0.42

0.03

0.77

0.04

NA

NA

2

3

NA

2

#Chen 2006

0.777

0.09

0.529

0.09

NA

NA

3

4

NA

2

#Si‐Yuan 2014

0.2

0.1

0.3

0.1

NA

NA

3

5

NA

2

#Ni 2013

1.18

0.12

1.29

0.14

NA

NA

3

6

NA

2

#Belghiti 1999

0.733

0.12

0.732

0.15

NA

NA

3

6

NA

2

#Capussotti 2003

0.649

0.04

0.57

0.05

NA

NA

5

6

NA

2

#Liang 2009

0.671

0.09

0.735

0.06

NA

NA

6

7

NA

2

#Figueras 2005

1.685

0.17

1.159

0.22

NA

NA

6

7

NA

2

#Wu 2002

END

Appendix 4. Technical details of network meta‐analysis

The posterior probabilities (effect estimates or values) of the treatment contrast (i.e., log odds ratio or mean difference) may vary depending upon the priors and initial values to start the simulations.

We used non‐informative priors for all distributions. For distributions of effect estimates for different studies and different treatments, normal distribution with mean = 0 and variance = 10,000 were used. For between‐study standard deviation in random‐effects models, a uniform distribution with limits of 0 and 5 was used for all analyses. The only exception was adverse events proportion in the comparison of parenchymal transection methods, where we chose the random‐effects model based on the fit, but the posterior distribution was determined by the prior distribution. For this comparison, the distribution for between‐study standard deviation was changed to a uniform distribution with limits of 0 and 2.

In order to control the random error due to the choice of initial values, we performed the network analysis for three different initial values (priors) as per the guidance from the National Institute for Health and Care Excellence (NICE) Decision Support Unit (DSU) documents (Dias 2013a). If the results from three different initial values ('chains') are similar (convergence), then the results are reliable. It is important to discard the results of the initial simulations as they can be significantly affected by the choice of the initial values and only include the results of the simulations obtained after the convergence. The discarding of the initial simulations is called 'burn in'. We ran the models for all outcomes for 30,000 simulations for 'burn in' for three different chains (a set of initial values). We ran the models for another 100,000 simulations to obtain the effect estimates. We obtained the effect estimates from the results of all the three chains (different initial values). We ensured that the results in the three different chains were similar in order to control for random error due to the choice of initial values. This was done in addition to the visual inspection of convergence obtained after simulations in the burn in. The mean effect estimate and 95% credible intervals were the median and 2.5% percentile and 97.5% credible intervals.

We ran three different models for each outcome. Fixed‐effect model assumes that the treatment effect is the same across studies. The random‐effects consistency model assumes that the treatment effect is distributed normally across the studies but assumes that the transitivity assumption is satisfied (i.e., the population studied, the definition of outcomes, and the methods used were similar across studies and that there is consistency between the direct comparison and indirect comparison). A random‐effects inconsistency model does not assume transitivity assumption. If the inconsistency model resulted in a better model fit than the consistency model, the results of the network meta‐analysis can be unreliable and so should be interpreted with extreme caution. If there was evidence of inconsistency, we planned to identify areas in the network where substantial inconsistency might be present in terms of clinical and methodological diversities between trials and, when appropriate, limit network meta‐analysis to a more compatible subset of trials.

The choice of the model between fixed‐effect model and random‐effects model was based on the model fit as per the guidelines of the NICE TSU (Dias 2013a). The model fit was assessed by deviance residuals and Deviance Information Criteria (DIC) according to NICE TSU guidelines (Dias 2013a). A difference of three or five in the DIC is not generally considered important (Dias 2012b). We used the simpler model, that is, fixed‐effect model was used if the DIC were similar between the fixed‐effect model and random‐effects model. We used the random‐effects model if it resulted in a better model fit as indicated by a DIC lower than that of fixed‐effect model by at least three.

We have calculated the effect estimates of the treatment and the 95% credible intervals using the formulae for calculating the effect estimates in indirect comparisons (Bucher 1997):

ln(ORAC) = ln(ORAB) ‐ ln(ORCB) and

Var(ln ORAC) = Var (ln ORAB) + Var (ln ORCB)

where ln indicates natural logarithm; OR indicates odds ratio; Var indicates variance; and A, B, and C are three different treatments.

Appendix 5. Simulated data

#Simulation used for analysis; treatments 1,2,3,4; ln effect estimates: 2 vs 1 = 0, 3 vs 1 = 0.1, 4 vs 1 =‐ 0.15, 3 vs 2 = 0.1, 4 vs 2 = ‐0.15; 4 vs 3 = 0.25).

Methods of simulating data: We have simulated the data using Excel. For this purpose, we have fixed the ln (natural logarithm) odds of the comparisons at the predetermined values. We have then added or subtracted a random value between ‐0.25 and 0.25 from the resulting odds ratio to determine the odds ratio of the individual study. We simulated the odds ratio for 15 studies. We then performed the network meta‐analysis using the codes provided in Appendix 2. We also performed a meta‐analysis of the simulated data using frequentist meta‐analysis in RevMan; this showed the effect estimates obtained by the frquentist estimates included the predetermined effect estimate and was close but not the same to the predetermined effect estimate.

list(nt=4,ns=15)

r[,1]

n[,1]

r[,2]

n[,2]

r[,3]

n[,3]

t[,1]

t[,2]

t[,3]

na[]

#study

22

23

22

23

NA

NA

1

2

NA

2

#1

12

30

20

60

NA

NA

1

2

NA

2

#2

4

20

7

40

NA

NA

1

2

NA

2

#3

12

22

13

22

NA

NA

1

2

NA

2

#4

20

24

19

24

NA

NA

1

3

NA

2

#5

24

26

24

26

NA

NA

1

3

NA

2

#6

16

20

16

20

NA

NA

1

4

NA

2

#7

9

22

9

22

NA

NA

1

4

NA

2

#8

5

26

6

26

NA

NA

1

4

NA

2

#9

27

28

27

28

NA

NA

1

4

NA

2

#10

9

21

9

21

NA

NA

1

4

NA

2

#11

4

20

4

20

NA

NA

2

3

NA

2

#12

18

22

18

22

NA

NA

2

4

NA

2

#13

5

27

11

54

NA

NA

3

4

NA

2

#14

5

27

13

54

NA

NA

3

4

NA

2

#15

END

Appendix 6. Results of simulation

Frequentist direct1

Network (fixed‐effect model)2

Network (random‐effects model)2

0.89 [0.48, 1.66]

0.90 [0.51,1.58]

0.90 [0.49,1.67]

0.83 [0.26, 2.72]

0.83 [0.40,1.69]

0.84 [0.39,1.81]

1.05 [0.56, 1.99]

1.04 [0.60,1.81]

1.05 [0.58,1.92]

1.00 [0.21, 4.71]

0.93 [0.41,2.08]

0.93 [0.39,2.20]

1.00 [0.22, 4.63]

1.16 [0.57,2.36]

1.16 [0.53,2.54]

1.26 [0.55, 2.86]

1.25 [0.65,2.48]

1.25 [0.60,2.56]

Footnotes:

1Mean estimate and 95% confidence intervals

2Mean estimate and 95% credible intervals

Appendix 7. Sample size calculation

The overall mortality in the control groups (conventional approach in the comparison 'anterior approach versus conventional approach'; no autologous blood transfusion in the comparison autologous blood transfusion in the comparison 'autologous blood transfusion versus control'; no active intervention or control group in the 'cardiopulmonary interventions'; 'clamp‐crush method' for 'parenchymal transection methods'; no active intervention or control group in the 'methods of dealing with raw surface'; no vascular occlusion in the 'methods of vascular occlusion'; and no active intervention or control group in the 'pharmacological interventions'), in which mortality was reported, was 1.8% (21/1196). Based on this control group proportion, a relative risk reduction of 20% in the experimental group, type I error of 5%, and type II error of 20%, the required information size for the outcome measure of perioperative mortality was 38,614 participants. This is the sample size required in a meta‐analysis if there was no heterogeneity. In the presence of I2 of 25%, the required sample size is 38,614/(1‐0.25) = 51,485; In the presence of I2 of 50%, the required sample size is 38,614/(1‐0.5) = 77,228.

Network analyses may be more prone to the risk of random errors than direct comparisons (Del Re 2013). Accordingly, a greater sample size is required in indirect comparisons than direct comparisons (Thorlund 2012). The power and precision in indirect comparisons depends upon various factors such as the number of participants included under each comparison and the heterogeneity between the trials (Thorlund 2012). If there were no heterogeneity across the trials, the sample size in indirect comparisons would be equivalent to the sample size in direct comparisons. The effective indirect sample size can be calculated using the number of participants included in each direct comparison (Thorlund 2012). For example, a sample size of 2500 participants in the direct comparison A versus C (nAC) and a sample size of 7500 participants in the direct comparison B versus C (nBC) results in an effective indirect sample size of 1876 participants. However, in the presence of heterogeneity within the comparisons, the sample size required is higher. In the above scenario, for an I2 statistic for each of the comparisons A versus C (IAC2) and B versus C (IBC2) of 25%, the effective indirect sample size is 1407 participants. For an I2 statistic for each of the comparisons A versus C and B versus C of 50%, the effective indirect sample size is 938 participants (Thorlund 2012). We planned to calculate the effective indirect sample size using the following generic formula (Thorlund 2012):

((nAC x (1 ‐ IAC2)) x (nBC x (1‐IBC2))/((nAC x (1 ‐ IAC2)) + (nBC x (1‐IBC2)).

However, we did not perform this as the number of participants included in this network analysis is less than that needed in a direct comparison. In addition, there is currently no method to calculate the effective indirect sample size for a network analysis involving more than three treatment groups.

Sample size calculations for serious adverse events and blood transfusion (proportion) for a relative risk reduction of 20% in the experimental group, type I error of 5%, and type II error of 20% are shown below.

Control group proportion for serious adverse events = 16.7% (151/905)

Required information size for serious adverse events = 3592

Required information size for serious adverse events with I2 of 25% = 3592/(1‐0.25) = 4789

Required information size for serious adverse events with I2 of 50% = 3592/(1‐0.5) = 7184

Control group proportion for blood transfusion = 21.8% (327/1500)

Required information size for blood transfusion = 2602

Required information size for blood transfusion with I2 of 25% = 3592/(1‐0.25) = 3469

Required information size for blood transfusion with I2 of 50% = 3592/(1‐0.5) = 5204

Appendix 8. WinBUGS code for subgroup analysis

We have only shown the code for the random‐effects model for a binary outcome. The differences in the code are underlined. We planned to make similar changes for other outcomes.

# Binomial likelihood, logit link, subgroup
# Random effects model for multi‐arm trials
model{ # *** PROGRAM STARTS
for(i in 1:ns){ # LOOP THROUGH trials
w[i,1] <‐ 0 # adjustment for multi‐arm trials is zero for control arm
delta[i,1] <‐ 0 # treatment effect is zero for control arm
mu[i] ˜ dnorm(0,.0001) # vague priors for all trial baselines
for (k in 1:na[i]) { # LOOP THROUGH ARMS
r[i,k] ˜ dbin(p[i,k],n[i,k]) # binomial likelihood
# model for linear predictor, covariate effect relative to treat in arm 1
logit(p[i,k]) <‐ mu[i] + delta[i,k] + (beta[t[i,k]]‐beta[t[i,1]]) * x[i]
rhat[i,k] <‐ p[i,k] * n[i,k] # expected value of the numerators
#Deviance contribution
dev[i,k] <‐ 2 * (r[i,k] * (log(r[i,k])‐log(rhat[i,k]))
+ (n[i,k]‐r[i,k]) * (log(n[i,k]‐r[i,k]) ‐ log(n[i,k]‐rhat[i,k]))) }
# summed residual deviance contribution for this trial
resdev[i] <‐ sum(dev[i,1:na[i]])
for (k in 2:na[i]) { # LOOP THROUGH ARMS
# trial‐specific LOR distributions
delta[i,k] ˜ dnorm(md[i,k],taud[i,k])
# mean of LOR distributions (with multi‐arm trial correction)
md[i,k] <‐ d[t[i,k]] ‐ d[t[i,1]] + sw[i,k]
# precision of LOR distributions (with multi‐arm trial correction)
taud[i,k] <‐ tau *2*(k‐1)/k
# adjustment for multi‐arm randomised clinical trialss
w[i,k] <‐ (delta[i,k] ‐ d[t[i,k]] + d[t[i,1]])
# cumulative adjustment for multi‐arm trials
sw[i,k] <‐ sum(w[i,1:k‐1])/(k‐1)
}
}
totresdev <‐ sum(resdev[]) # Total Residual Deviance
d[1]<‐0 # treatment effect is zero for reference treatment
beta[1] <‐ 0 # covariate effect is zero for reference treatment
for (k in 2:nt){ # LOOP THROUGH TREATMENTS
d[k] ˜ dnorm(0,.0001) # vague priors for treatment effects
beta[k] <‐ B # common covariate effect
}
B ˜ dnorm(0,.0001) # vague prior for covariate effect
sd ˜ dunif(0,5) # vague prior for between‐trial SD
tau <‐ pow(sd,‐2) # between‐trial precision = (1/between‐trial variance)
# treatment effect when covariate = z[j]
for (k in 1:nt){ # LOOP THROUGH TREATMENTS
for (j in 1:nz) { dz[j,k] <‐ d[k] + (beta[k]‐beta[1])*z[j] }
}
# *** PROGRAM ENDS

Appendix 9. Summary of findings (secondary outcomes): blood transfusion requirements

Methods to decrease blood loss during liver resection: a network meta‐analysis: blood transfusion requirements

Patient or population: people undergoing liver resection

Settings: secondary or tertiary setting

Intervention and control: various treatments

Follow‐up: perioperative period

Outcomes

Anterior approach versus conventional approach

Autologous blood donation versus control

Cardiopulmonary interventions

Methods of parenchymal transection

Methods of dealing with raw surface

Methods of vascular occlusion

Pharmacological interventions

Treatments

The first treatment listed is the control. The remaining are interventions.

  1. Conventional approach

  2. Anterior approach

  1. Control

  2. Autologous blood donation

  1. Control

  2. Acute normovolemic haemodilution plus low central venous pressure

  3. Hypoventilation

  4. Low central venous pressure

  1. Clamp‐crush method

  2. Cavitron ultrasonic surgical aspirator

  3. Hydrojet

  4. Radiofrequency dissecting sealer

  5. Sharp transection method

  6. Stapler

  1. Control

  2. Argon beam

  3. Collagen

  4. Cyanoacrylate

  5. Fibrin sealant

  6. Fibrin sealant plus collagen

  7. Oxidised cellulose

  8. Plasmajet

  1. Control

  2. Continuous hepatic vascular exclusion

  3. Continuous portal triad clamping

  4. Continuous selective hepatic vascular exclusion

  5. Continuous selective portal triad clamping

  6. Intermittent portal triad clamping

  7. Intermittent selective portal triad clamping

  1. Control

  2. Anti‐thrombin III

  3. Recombinant factor VIIa

  4. Tranexamic acid

Blood transfusion (proportion)

There was no evidence of differences in blood transfusion (proportion) between the 2 groups (quality of evidence = very low)1,2,3,4.

The blood transfusion (proportion) was lower in autologous blood donation than control.
Proportion requiring blood transfusion in control group: 619 per 1000
Proportion requiring blood transfusion in autologous blood donation group: 111 per 1000 (25 to 409)
Relative effect: OR 0.18, 95% CrI 0.04 to 0.66
42 participants; 1.
Quality of evidence = low1,2.

The blood transfusion (proportion) was higher in low central venous pressure than acute normovolemic haemodilution plus low central venous pressure.
Proportion requiring blood transfusion in acute normovolemic haemodilution plus low central venous pressure: 118 per 1000
Proportion requiring blood transfusion in low central venous pressure group: 376 per 1000 (184 to 820)
Relative effect: OR 3.19, 95% CrI 1.56 to 6.95
208 participants; 2.
Quality of evidence = low1,2.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

*There was no evidence of differences in blood transfusion (proportion) for any of the comparisons (quality of evidence = very low)1,2,3,4.

There was no evidence of differences in blood transfusion (proportion) for any of the comparisons (quality of evidence = very low)1,2,3,4.

* The blood transfusion (proportion) was lower in continuous portal triad clamping than control.
Proportion requiring blood transfusion in control group: 300 per 1000
Proportion requiring blood transfusion in continuous portal triad clamping: 18 per 1000 (0 to 148)
Relative effect: OR 0.06, 95% CrI 0.00 to 0.49
34 participants; 1.
Quality of evidence = low1,2.
The blood transfusion (proportion) was higher in continuous portal triad clamping than continuous hepatic vascular exclusion
Proportion requiring blood transfusion in continuous hepatic vascular exclusion: 133 per 1000
Proportion requiring blood transfusion in continuous portal triad clamping group: 785 per 1000 (326 to 2072)
Relative effect: OR 5.90, 95% CrI 2.45 to 15.58
118 participants; 1.
Quality of evidence = low1,2.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3,4.

The blood transfusion (proportion) was lower in aprotinin than control.
Proportion requiring blood transfusion in control group: 291 per 1000
Proportion requiring blood transfusion in aprotinin group: 90 per 1000 (32 to 227)
Relative effect: OR 0.31, 95% CrI 0.11 to 0.78.
97 participants; 1.
Quality of evidence = low1,2.
The blood transfusion (proportion) was lower in tranexamic acid than control.

Proportion requiring blood transfusion in tranexamic acid group: 3 per 1000 (0 to 38)
Relative effect: OR 0.01, 95% CrI 0.00 to 0.13.
214 participants; 1.
Quality of evidence = low1,2.

There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

Blood transfusion (red blood cells)

None of the trials reported this outcome.

There was no evidence of differences in blood transfusion quantity (red blood cells) between the groups (quality of evidence = very low)1,2,3.

* The blood transfusion quantity (red blood cells) was lower in acute normovolemic haemodilution.
The mean blood transfusion quantity (red blood cells) in the control group was 1.38 units.
The mean blood transfusion quantity (red blood cells) in the acute normovolemic haemodilution was 1.25 lower (1.74 to 0.75 lower).
20 participants; 1.
Quality of evidence: very low)1,2,3.
The mean blood transfusion quantity (red blood cells) in the acute normovolemic haemodilution plus hypotension was 1.66 lower (2.06 to 1.32 lower).
20 participants; 1.
Quality of evidence: low1,2.
The mean blood transfusion quantity (red blood cells) in the acute normovolemic haemodilution plus low central venous pressure was 0.27 higher (0.01 to 0.52 higher).
30 participants; 1.
Quality of evidence: very low1,2,3.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

The blood transfusion quantity (red blood cells) was lower in hydrojet than cavitron ultrasonic surgical aspirator.
The mean blood transfusion quantity (red blood cell) in the cavitron ultrasonic surgical aspirator group was 2.48 units.
The mean blood transfusion quantity (red blood cells) in the hydrojet group was 0.98 lower (1.90 to 0.06 lower).
61 participants; 1.
Quality of evidence = very low1,2,3.
There was no evidence of difference in blood transfusion quantity (red blood cells) in the remaining comparisons (quality of evidence = very low)1,2,3.

The blood transfusion quantity (red blood cells) was lower in fibrin sealant than control.
The mean blood transfusion quantity (red blood cells) in the control group was 3.5 units.
The mean blood transfusion quantity (red blood cells) in the fibrin sealant group was 0.53 lower (1.00 to 0.07 lower).
122 participants; 2.
Quality of evidence = very low1,2,3.
The blood transfusion quantity (red blood cells) was higher in fibrin sealant than cyanoacrylate.
The mean blood transfusion quantity (red blood cells) in the cyanoacrylate group was 2.13 units.
The mean blood transfusion quantity (red blood cells) in the fibrin sealant group was 2.20 higher (1.59 to 2.81 higher).
30 participants; 1.
Quality of evidence = low1,2.
There was no evidence of difference in blood transfusion quantity (red blood cells) in the remaining comparisons (quality of evidence =very low)1,2,3,4.

* The blood transfusion quantity (red blood cells) was lower in continuous portal triad clamping than control.
The mean blood transfusion quantity (red blood cells) in the control group was 1.7 units.
The mean blood transfusion quantity (red blood cells) in the intermittent portal triad clamping was 1.25 lower (2.39 to 0.10 lower).
(network meta‐analysis)

786 participants; 10.
Quality of evidence = very low1,2,3.

The blood transfusion quantity (red blood cells) was lower in intermittent portal triad clamping than control.
The mean blood transfusion quantity (red blood cells) in the intermittent portal triad clamping was 1.50 lower (2.75 to 0.26 lower).
100 participants; 1.
Quality of evidence = very low1,2,3.
The blood transfusion quantity (red blood cells) was lower in continuous selective hepatic vascular exclusion than continuous portal triad clamping.
The mean blood transfusion quantity (red blood cells) in the continuous portal triad clamping group was 1.125 units.
The mean blood transfusion quantity (red blood cells) in the continuous selective hepatic vascular exclusion was 1.20 lower (2.37 to 0.04 lower).
160 participants; 1.
Quality of evidence = very low1,2,3.
The blood transfusion quantity (red blood cells) was lower in continuous selective portal triad clamping than continuous portal triad clamping.
The mean blood transfusion quantity (red blood cells) in the continuous selective portal triad clamping was 0.20 lower (0.31 to 0.09 lower).
120 participants; 1.
Quality of evidence = very low1,2,3.
There was no evidence of difference in blood transfusion quantity (red blood cells) in the remaining comparisons (quality of evidence = very low)1,2,3,4.

The blood transfusion quantity (red blood cells) was lower in aprotinin than control.
The mean blood transfusion quantity (red blood cells) in the control group was 2.10 units.
The mean blood transfusion quantity (red blood cells) in the aprotinin group was 0.94 lower (no information to calculate confidence intervals; P = 0.015).
97 participants; 1.
Quality of evidence = very lowa,b,c.
There was no evidence of difference in blood transfusion quantity (red blood cells) in the remaining comparisons (quality of evidence = very low)1,2,3.

Blood transfusion (platelets)

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

There was no evidence of differences in blood transfusion quantity (platelets) between the groups (quality of evidence = very low)1,2,3.

Blood transfusion (fresh frozen plasma)

None of the trials reported this outcome.

None of the trials reported this outcome.

The blood transfusion quantity (fresh frozen plasma) was lower in low central venous pressure than control
The mean blood transfusion quantity (fresh frozen plasma) in the control group was 4.23 units.
The mean blood transfusion quantity (red blood cells) in the low central venous pressure was 2.48 lower (3.58 to 1.37 lower).
50 participants; 1.
Quality of evidence = low1,2.
There was no evidence of differences in the other comparison (quality of evidence = very low)1,2,3.

There was no evidence of differences in blood transfusion quantity (fresh frozen plasma) between the groups (quality of evidence = very low)1,2,3.

The blood transfusion quantity (fresh frozen plasma) was lower in fibrin sealant than cyanoacrylate.
The mean blood transfusion quantity (fresh frozen plasma) in the cyanoacrylate group was 0.8 units.
The mean blood transfusion quantity (fresh frozen plasma) in the fibrin sealant group was 0.81 lower (1.04 to 0.62 lower).
30 participants; 1.
Quality of evidence = very low1,2,3.
The blood transfusion quantity (fresh frozen plasma) was higher in oxidised cellulose than fibrin sealant.
The mean blood transfusion quantity (fresh frozen plasma) in the fibrin sealant group was 8.8 units.
The mean blood transfusion quantity (fresh frozen plasma) in the oxidised cellulose group was 0.53 higher (0.36 to 0.71 higher).
80 participants; 2.
Quality of evidence = very low1,2,3.
There was no evidence of difference in blood transfusion quantity (fresh frozen plasma) in the remaining comparisons (quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

There was no evidence of differences in blood transfusion quantity (fresh frozen plasma) between the groups (quality of evidence = very low)1,2,3.

Blood transfusion (cryoprecipitate)

None of the trials reported this outcome.

None of the trials reported this outcome.

There was no evidence of differences in blood transfusion quantity (cryoprecipitate) between the groups (quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

Blood loss

There was no evidence of differences in blood loss between the groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in blood loss between the groups (quality of evidence = very low)1,2,3.

* The blood loss was lower in acute normovolemic haemodilution plus hypotension than control
The mean blood loss in the control group was 0.71 litres.
The mean blood loss in the acute normovolemic haemodilution plus hypotension was 0.25 lower (0.37 to 0.13 lower).
20 participants; 1.
Quality of evidence = very low1,2,3.
The mean blood loss in the low central venous pressure was 0.34 lower (0.46 to 0.22 lower).
237 participants; 4.
Quality of evidence = very low1,2,3.
The mean blood loss in the acute normovolemic haemodilution group was 0.65 litres.
The blood loss in acute normovolemic haemodilution plus hypotension was 0.25 lower (0.40 to 0.10 lower)
20 participants; 1.
Quality of evidence = very low1,2,3.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

There was no evidence of differences in blood loss between the groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in blood loss between the groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in blood loss between the groups (quality of evidence = very low)1,2,3,4.

The blood loss was lower in tranexamic acid than control (difference in median: ‐0.30 litres, P < 0.001; 214 participants; 1 study).
The mean blood loss in the control group was 0.45 litres.
The mean blood loss in the tranexamic acid was 0.30 lower (no information to calculate confidence intervals; P < 0.001).
214 participants; 1.
Quality of evidence = low1,2.
There was no evidence of difference in blood transfusion quantity (red blood cells) in the remaining comparisons (quality of evidence = very low)1,2,3.

Major blood loss (proportion)

There was no evidence of differences in major blood loss (proportion) between the 2 groups (quality of evidence = very low)1,2,3,4.

There was no evidence of differences in major blood loss (proportion) between the 2 groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in major blood loss (proportion) between the groups (quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

None of the trials reported this outcome.

There was no evidence of differences in major blood loss (proportion) between the groups (quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

Footnotes

1 Risk of bias was unclear or high in the trial[s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals overlapped no effect and clinically significant effect (20% relative risk reduction for binary outcomes;1 unit of transfusion quantity; 500 ml blood loss) (downgraded by 1 point).

4 There was considerable or substantial heterogeneity in the pair‐wise comparison or at least 1 of the comparisons in the network (downgrade by 2 points).

*Network meta‐analysis was performed for these outcome because of the availability of direct and indirect comparisons in the network. The remaining outcomes were analysed by direct comparisons.

CrI: credible intervals; MD: mean difference; OR: odds ratio.

Appendix 10. Summary of findings (secondary outcomes): operating time, hospital stay, and time needed to return to work

Methods to decrease blood loss during liver resection: a network meta‐analysis: operating time, hospital stay, and time‐to‐return to work

Patient or population: people undergoing liver resection

Settings: secondary or tertiary setting

Intervention and control: various treatments

Follow‐up: peri‐operative period

Outcomes

Anterior approach versus conventional approach

Autologous blood donation versus control

Cardiopulmonary interventions

Methods of parenchymal transection

Methods of dealing with raw surface

Methods of vascular occlusion

Pharmacological interventions

Treatments

The first treatment listed is the control. The remaining are interventions.

  1. Conventional approach

  2. Anterior approach

  1. Control

  2. Autologous blood donation

  1. Control

  2. Acute normovolemic haemodilution plus low central venous pressure

  3. Hypoventilation

  4. Low central venous pressure

  1. Clamp‐crush method

  2. Cavitron ultrasonic surgical aspirator

  3. Hydrojet

  4. Radiofrequency dissecting sealer

  5. Sharp transection method

  6. Stapler

  1. Control

  2. Argon beam

  3. Collagen

  4. Cyanoacrylate

  5. Fibrin sealant

  6. Fibrin sealant plus collagen

  7. Oxidised cellulose

  8. Plasmajet

  1. Control

  2. Continuous hepatic vascular exclusion

  3. Continuous portal triad clamping

  4. Continuous selective hepatic vascular exclusion

  5. Continuous selective portal triad clamping

  6. Intermittent portal triad clamping

  7. Intermittent selective portal triad clamping

  1. Control

  2. Anti‐thrombin III

  3. Recombinant factor VIIa

  4. Tranexamic acid

Total hospital stay

There was no evidence of differences in hospital stay between the groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in hospital stay between the groups (quality of evidence = very low)1,2,3.

The total hospital stay was lower in low central venous pressure than control.
The mean hospital stay in the control group was 20.75 days.
The mean hospital stay in the low central venous pressure was 2.42 lower (3.91 to 0.94 lower).
197 participants; 3.
Quality of evidence = very low1,2,3.
There were no evidence of differences in the remaining comparisons (quality of evidence = very low)a,b,c.

There was no evidence of differences in hospital stay between the groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in hospital stay between the groups (quality of evidence = very low)1,2,3.

The total hospital stay was lower in continuous portal triad clamping than continuous hepatic vascular exclusion.
The mean hospital stay in the continuous hepatic vascular exclusion group was 22 days.
The mean hospital stay in the continuous portal triad clamping was 8.00 lower (13.03 to 2.95 lower).
52 participants; 1.
Quality of evidence = low1,2.
The mean hospital stay in the continuous portal triad clamping group was 14 days.
The mean hospital stay in the continuous selective hepatic vascular exclusion was 2.80 lower (4.13 to 1.47 lower).
160 participants; 1.
Quality of evidence = low1,2.
There were no evidence of differences in the remaining comparisons (quality of evidence = very low)1,2,3.

There was no evidence of differences in hospital stay between the groups (quality of evidence = very low)1,2,3.

ITU stay

There was no evidence of differences in ITU stay between the 2 groups (quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

None of the trials reported this outcome.

There was no evidence of differences in ITU stay between the 2 groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in ITU stay between the 2 groups (quality of evidence = very low)1,2,3.

The ITU stay was lower in continuous selective hepatic vascular exclusion than continuous portal triad clamping.
The mean ITU stay in the continuous portal triad clamping group was 1.5 days.
The mean ITU stay in the continuous selective hepatic vascular exclusion group was 0.3 lower (0.55 to 0.06 lower).
160 participants; 1.
Quality of evidence = very low1,2,3.

There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

Operating time

There was no evidence of differences in operating time between the 2 groups (quality of evidence = very low)1,2,3.

There was no evidence of differences in operating time between the 2 groups (quality of evidence = very low)1,2,3.

The operating time was lower in low central venous pressure than control.
The mean operating time in the control group was 246 minutes.
The mean operating time in the low central venous pressure was 15.32 lower (29.03 to 1.69 lower).
192 participants; 4.
Quality of evidence = very low1,2,3.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

There was no evidence of differences in operating time between the groups (quality of evidence = very low)1,2,3.

The operating time was higher in fibrin sealant & collagen than control.
The mean operating time in the control group was 263 minutes.
The mean operating time in the fibrin sealant & collagen was 19.72 higher (2.93 to 36.57 higher).
300 participants; 1.
Quality of evidence = very low1,2,3.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

The operating time was lower in intermittent portal triad clamping than continuous selective portal triad clamping.
The mean operating time in the continuous selective portal triad clamping group was 236 minutes.
The mean operating time in the intermittent portal triad clamping group was 30.53 lower (49.68 to 11.29 lower).
80 participants; 1.
Quality of evidence = very low1,2,3.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3,4.

The operating time was lower in tranexamic acid than control.
The mean operating time in the control group was 261 minutes.
The mean operating time in the tranexamic acid was 52.20 lower (no information to calculate confidence intervals; P = 0.003).
214 participants; 1.
Quality of evidence = low1,2.
There was no evidence of differences in other comparisons (quality of evidence = very low)1,2,3.

Time needed to return to work

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

Footnotes

1 Risk of bias was unclear or high in the trial[s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals overlapped no effect and clinically significant effect (20% relative risk reduction for binary outcomes; 1 day of hospital stay, intensive therapy unit stay, and time‐to‐return to work; 15 minutes of operating time) (downgraded by 1 point).

4 There was considerable or substantial heterogeneity in the pair‐wise comparison or at least 1 of the comparisons in the network (downgrade by 2 points).

* Network meta‐analysis was not performed for any of the outcomes because of the lack of availability of direct and indirect comparisons in the network.

CrI:credible intervals; ITU: intensive therapy unit;MD: mean difference; OR: odds ratio.

Study flow diagram.
Figuras y tablas -
Figure 1

Study flow diagram.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figuras y tablas -
Figure 2

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.
Figuras y tablas -
Figure 3

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

The network plot showing the comparisons in the trials included in the comparison of cardiopulmonary interventions in which network meta‐analysis was performed. The size of the node (circle) provides a measure of the number of trials in which the particular treatment was included as one of the arms. The thickness of the line provides a measure of the number of direct comparisons between two nodes (treatments).ANH: acute normovolemic haemodilution; CVP: central venous pressure; RBC: red blood cells.
Figuras y tablas -
Figure 4

The network plot showing the comparisons in the trials included in the comparison of cardiopulmonary interventions in which network meta‐analysis was performed. The size of the node (circle) provides a measure of the number of trials in which the particular treatment was included as one of the arms. The thickness of the line provides a measure of the number of direct comparisons between two nodes (treatments).

ANH: acute normovolemic haemodilution; CVP: central venous pressure; RBC: red blood cells.

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (red blood cells) (cardiopulmonary interventions). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.ANH: acute normovolemic haemodilution; CVP: central venous pressure; RBC: red blood cells.
Figuras y tablas -
Figure 5

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (red blood cells) (cardiopulmonary interventions). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

ANH: acute normovolemic haemodilution; CVP: central venous pressure; RBC: red blood cells.

Cumulative probability of being best treatment: cumulative probability of being best for each treatment for cardiopulmonary interventions. Rank 1 indicates the probability that a treatment is best, rank 2 indicates the probability that a treatment is in the two best treatments, rank 3 indicates the probability that a treatment is in the three best treatments, and so on.ANH: acute normovolemic haemodilution; CVP: central venous pressure; RBC: red blood cells.
Figuras y tablas -
Figure 6

Cumulative probability of being best treatment: cumulative probability of being best for each treatment for cardiopulmonary interventions. Rank 1 indicates the probability that a treatment is best, rank 2 indicates the probability that a treatment is in the two best treatments, rank 3 indicates the probability that a treatment is in the three best treatments, and so on.

ANH: acute normovolemic haemodilution; CVP: central venous pressure; RBC: red blood cells.

Cardiopulmonary intervention: blood transfusion (red blood cells) Forest plot of the comparisons in which direct and indirect estimates were available. The mean effect is in opposite directions in the indirect estimate and the direct estimates, thus suggesting that there may be discrepancies between direct and indirect estimates. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2 Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
 4There was substantial or considerable heterogeneity (downgraded by 2 points).
Figuras y tablas -
Figure 7

Cardiopulmonary intervention: blood transfusion (red blood cells)

Forest plot of the comparisons in which direct and indirect estimates were available. The mean effect is in opposite directions in the indirect estimate and the direct estimates, thus suggesting that there may be discrepancies between direct and indirect estimates. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
4There was substantial or considerable heterogeneity (downgraded by 2 points).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood loss (cardiopulmonary interventions). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.ANH: acute normovolemic haemodilution; CVP: central venous pressure.
Figuras y tablas -
Figure 8

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood loss (cardiopulmonary interventions). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

ANH: acute normovolemic haemodilution; CVP: central venous pressure.

Cardiopulmonary intervention: blood loss Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates, although the indirect estimates have wide credible intervals.Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.ANH: acute normovolemic haemodilution; CVP: central venous pressure.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
 4There was substantial or considerable heterogeneity (downgraded by 2 points).
Figuras y tablas -
Figure 9

Cardiopulmonary intervention: blood loss

Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates, although the indirect estimates have wide credible intervals.

Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

ANH: acute normovolemic haemodilution; CVP: central venous pressure.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
4There was substantial or considerable heterogeneity (downgraded by 2 points).

The network plot showing the comparisons in the trials included in the comparison of methods for parenchymal transection in which network meta‐analysis was performed. The size of the node (circle) provides a measure of the number of trials in which the particular treatment was included as one of the arms. The thickness of the line provides a measure of the number of direct comparisons between two nodes (treatments).CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.
Figuras y tablas -
Figure 10

The network plot showing the comparisons in the trials included in the comparison of methods for parenchymal transection in which network meta‐analysis was performed. The size of the node (circle) provides a measure of the number of trials in which the particular treatment was included as one of the arms. The thickness of the line provides a measure of the number of direct comparisons between two nodes (treatments).

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for adverse events (proportion) (parenchymal transection methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.
Figuras y tablas -
Figure 11

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for adverse events (proportion) (parenchymal transection methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

Cumulative probability of being best treatment: cumulative probability of being best for each treatment for parenchymal transection methods. Rank 1 indicates the probability that a treatment is best, rank 2 indicates the probability that a treatment is in the two best treatments, rank 3 indicates the probability that a treatment is in the three best treatments, and so on.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.
Figuras y tablas -
Figure 12

Cumulative probability of being best treatment: cumulative probability of being best for each treatment for parenchymal transection methods. Rank 1 indicates the probability that a treatment is best, rank 2 indicates the probability that a treatment is in the two best treatments, rank 3 indicates the probability that a treatment is in the three best treatments, and so on.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

Parenchymal transection: adverse events (proportion) Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates, although the indirect estimates have wide credible intervals.Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
 4There was substantial or considerable heterogeneity (downgraded by 2 points).
Figuras y tablas -
Figure 13

Parenchymal transection: adverse events (proportion)

Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates, although the indirect estimates have wide credible intervals.

Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
4There was substantial or considerable heterogeneity (downgraded by 2 points).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for adverse events (number) (parenchymal transection methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.
Figuras y tablas -
Figure 14

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for adverse events (number) (parenchymal transection methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

Parenchymal transection: adverse events (number) Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates.Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
Figuras y tablas -
Figure 15

Parenchymal transection: adverse events (number)

Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates.

Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (proportion) (parenchymal transection methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.
Figuras y tablas -
Figure 16

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (proportion) (parenchymal transection methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

Parenchymal transection:blood transfusion (proportion) Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates, although the indirect estimates have wide credible intervals for some comparisons. There was little apparent difference in the quality of evidence between direct, indirect estimates, and network meta‐analysis; so, we could not choose one estimate over the others based on the quality of evidence.CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
Figuras y tablas -
Figure 17

Parenchymal transection:blood transfusion (proportion)

Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancy between the direct and indirect estimates, although the indirect estimates have wide credible intervals for some comparisons. There was little apparent difference in the quality of evidence between direct, indirect estimates, and network meta‐analysis; so, we could not choose one estimate over the others based on the quality of evidence.

CUSA: cavitron ultrsonic surgical aspirator; RFDS: radiofrequency dissecting sealer.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).

The network plot showing the comparisons in the trials included in the comparison of methods for vascular occlusion in which network meta‐analysis was performed. The size of the node (circle) provides a measure of the number of trials in which the particular treatment was included as one of the arms. The thickness of the line provides a measure of the number of direct comparisons between two nodes (treatments).Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping; RBC: red blood cells.
Figuras y tablas -
Figure 18

The network plot showing the comparisons in the trials included in the comparison of methods for vascular occlusion in which network meta‐analysis was performed. The size of the node (circle) provides a measure of the number of trials in which the particular treatment was included as one of the arms. The thickness of the line provides a measure of the number of direct comparisons between two nodes (treatments).

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping; RBC: red blood cells.

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for serious adverse events (proportion) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.
Figuras y tablas -
Figure 19

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for serious adverse events (proportion) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

Cumulative probability of being best treatment: cumulative probability of being best for each treatment for vascular occlusion methods. Rank 1 indicates the probability that a treatment is best, rank 2 indicates the probability that a treatment is in the two best treatments, rank 3 indicates the probability that a treatment is in the three best treatments, and so on.Con: continuous; Int: intermittent; HVE:hepatic vascular exclusion; PTC: portal triad clamping.
Figuras y tablas -
Figure 20

Cumulative probability of being best treatment: cumulative probability of being best for each treatment for vascular occlusion methods. Rank 1 indicates the probability that a treatment is best, rank 2 indicates the probability that a treatment is in the two best treatments, rank 3 indicates the probability that a treatment is in the three best treatments, and so on.

Con: continuous; Int: intermittent; HVE:hepatic vascular exclusion; PTC: portal triad clamping.

Methods of vascular occlusion: serious adverse events (proportion) Forest plot of the comparisons in which direct and indirect estimates were available. Although there is overlap of confidence intervals, the mean indirect estimate seems to be quite different from the direct estimate (sometimes, suggesting an opposite effect), thus suggesting that there may be discrepancies between direct and indirect estimates.There was little apparent difference in the quality of evidence between direct, indirect estimates, and network meta‐analysis; so, we could not choose one estimate over the others based on the quality of evidence.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
Figuras y tablas -
Figure 21

Methods of vascular occlusion: serious adverse events (proportion)

Forest plot of the comparisons in which direct and indirect estimates were available. Although there is overlap of confidence intervals, the mean indirect estimate seems to be quite different from the direct estimate (sometimes, suggesting an opposite effect), thus suggesting that there may be discrepancies between direct and indirect estimates.

There was little apparent difference in the quality of evidence between direct, indirect estimates, and network meta‐analysis; so, we could not choose one estimate over the others based on the quality of evidence.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for adverse events (proportion) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.
Figuras y tablas -
Figure 22

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for adverse events (proportion) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

Methods of vascular occlusion: adverse events (proportion) Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancies between direct and indirect estimates. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
Figuras y tablas -
Figure 23

Methods of vascular occlusion: adverse events (proportion)

Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancies between direct and indirect estimates. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (proportion) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.
Figuras y tablas -
Figure 24

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (proportion) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

Methods of vascular occlusion: blood transfusion (proportion) Forest plot of the comparisons in which direct and indirect estimates were available. Although the confidence intervals overlap, there appear to be some discrepancies between direct and indirect estimates for continuous portal triad clamping versus control, intermittent portal triad clamping versus control, and intermittent portal triad clamping versus continuous portal triad clamping. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
 4There was substantial or considerable heterogeneity (downgraded by 2 points).
Figuras y tablas -
Figure 25

Methods of vascular occlusion: blood transfusion (proportion)

Forest plot of the comparisons in which direct and indirect estimates were available. Although the confidence intervals overlap, there appear to be some discrepancies between direct and indirect estimates for continuous portal triad clamping versus control, intermittent portal triad clamping versus control, and intermittent portal triad clamping versus continuous portal triad clamping. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
4There was substantial or considerable heterogeneity (downgraded by 2 points).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (red blood cells) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. Intermittent selective portal triad clamping has about 90% probability of being best treatment. However, other random and systematic errors make this finding unreliable.Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.
Figuras y tablas -
Figure 26

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood transfusion (red blood cells) (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. Intermittent selective portal triad clamping has about 90% probability of being best treatment. However, other random and systematic errors make this finding unreliable.

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

Methods of vascular occlusion:blood transfusion (red blood cells) Forest plot of the comparisons in which direct and indirect estimates were available. There do not appear to be any discrepancies between direct and indirect estimates, although the credible intervals are different (the direct evidence had narrower credible intervals in four of the five comparisons above) resulting in the differences in the comparisons in which there was evidence for difference. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence for the comparison 'continuous selective portal triad clamping versus continuous portal triad clamping'. Indirect evidence and network meta‐analysis appear to be preferable over direct evidence for the comparison 'continuous portal triad clamping versus control'. Direct evidence and network meta‐analysis appear to be preferable over indirect evidence for the comparison 'intermittent portal triad clamping versus control'. There was little apparent difference in the quality of evidence between direct, indirect estimates, and network meta‐analysis; so, we could not choose one estimate over the others based on the quality of evidence.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).
Figuras y tablas -
Figure 27

Methods of vascular occlusion:blood transfusion (red blood cells)

Forest plot of the comparisons in which direct and indirect estimates were available. There do not appear to be any discrepancies between direct and indirect estimates, although the credible intervals are different (the direct evidence had narrower credible intervals in four of the five comparisons above) resulting in the differences in the comparisons in which there was evidence for difference. Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence for the comparison 'continuous selective portal triad clamping versus continuous portal triad clamping'. Indirect evidence and network meta‐analysis appear to be preferable over direct evidence for the comparison 'continuous portal triad clamping versus control'. Direct evidence and network meta‐analysis appear to be preferable over indirect evidence for the comparison 'intermittent portal triad clamping versus control'. There was little apparent difference in the quality of evidence between direct, indirect estimates, and network meta‐analysis; so, we could not choose one estimate over the others based on the quality of evidence.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood loss (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.
Figuras y tablas -
Figure 28

Probability of best treatment: probability of being best, second best, third best, etc. for each treatment for blood loss (vascular occlusion methods). A probability of more than 90% is a reliable indicator that a treatment is best with regards to the specific outcome. A probability of less than 90% is less reliable. None of the treatments have a 90% probability of being best treatment.

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

Methods of vascular occlusion:blood loss Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancies between direct and indirect estimates, although the credible intervals are different (the direct evidence had narrower credible intervals in three of the five comparisons above). Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
 2 Sample size was low (downgraded by 1 point).
 3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).Ç
 4There was substantial or considerable heterogeneity (downgraded by 2 points).
Figuras y tablas -
Figure 29

Methods of vascular occlusion:blood loss

Forest plot of the comparisons in which direct and indirect estimates were available. There does not appear to be any discrepancies between direct and indirect estimates, although the credible intervals are different (the direct evidence had narrower credible intervals in three of the five comparisons above). Direct evidence appears to be preferable over indirect evidence and network meta‐analysis based on the quality of evidence.

1Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (downgraded by 1 point).
3Confidence intervals spanned no effect and clinically significant effect (downgraded by 1 point).Ç
4There was substantial or considerable heterogeneity (downgraded by 2 points).

Funnel plot of blood transfusion (proportion): The funnel plot shows funnel plot asymmetry (i.e. some trials with large variance with large effects favouring one treatment were not matched by other trials with similarly large variance with large effects favouring the other treatment). This may be evidence of reporting bias or could be because of heterogeneity between the studies.
Figuras y tablas -
Figure 30

Funnel plot of blood transfusion (proportion): The funnel plot shows funnel plot asymmetry (i.e. some trials with large variance with large effects favouring one treatment were not matched by other trials with similarly large variance with large effects favouring the other treatment). This may be evidence of reporting bias or could be because of heterogeneity between the studies.

Funnel plot of blood transfusion (red blood cells): The funnel plot shows funnel plot asymmetry (i.e. some trials with large variance with large effects favouring one treatment were not matched by other trials with similarly large variance with large effects favouring the other treatment). This may be evidence of reporting bias or could be because of heterogeneity between the studies.
Figuras y tablas -
Figure 31

Funnel plot of blood transfusion (red blood cells): The funnel plot shows funnel plot asymmetry (i.e. some trials with large variance with large effects favouring one treatment were not matched by other trials with similarly large variance with large effects favouring the other treatment). This may be evidence of reporting bias or could be because of heterogeneity between the studies.

Funnel plot of blood loss: The funnel plot shows funnel plot asymmetry (i.e. some trials with large variance with large effects favouring one treatment were not matched by other trials with similarly large variance with large effects favouring the other treatment). This may be evidence of reporting bias or could be because of heterogeneity between the studies.
Figuras y tablas -
Figure 32

Funnel plot of blood loss: The funnel plot shows funnel plot asymmetry (i.e. some trials with large variance with large effects favouring one treatment were not matched by other trials with similarly large variance with large effects favouring the other treatment). This may be evidence of reporting bias or could be because of heterogeneity between the studies.

Comparison 1 Anterior approach vs conventional approach, Outcome 1 Mortality (perioperative).
Figuras y tablas -
Analysis 1.1

Comparison 1 Anterior approach vs conventional approach, Outcome 1 Mortality (perioperative).

Comparison 1 Anterior approach vs conventional approach, Outcome 2 Serious adverse events (proportion).
Figuras y tablas -
Analysis 1.2

Comparison 1 Anterior approach vs conventional approach, Outcome 2 Serious adverse events (proportion).

Comparison 1 Anterior approach vs conventional approach, Outcome 3 Adverse events (proportion).
Figuras y tablas -
Analysis 1.3

Comparison 1 Anterior approach vs conventional approach, Outcome 3 Adverse events (proportion).

Comparison 1 Anterior approach vs conventional approach, Outcome 4 Adverse events (number).
Figuras y tablas -
Analysis 1.4

Comparison 1 Anterior approach vs conventional approach, Outcome 4 Adverse events (number).

Comparison 1 Anterior approach vs conventional approach, Outcome 5 Blood transfusion (proportion).
Figuras y tablas -
Analysis 1.5

Comparison 1 Anterior approach vs conventional approach, Outcome 5 Blood transfusion (proportion).

Comparison 1 Anterior approach vs conventional approach, Outcome 6 Major blood loss (proportion).
Figuras y tablas -
Analysis 1.6

Comparison 1 Anterior approach vs conventional approach, Outcome 6 Major blood loss (proportion).

Comparison 2 Autologous blood donation vs control, Outcome 1 Adverse events (proportion).
Figuras y tablas -
Analysis 2.1

Comparison 2 Autologous blood donation vs control, Outcome 1 Adverse events (proportion).

Comparison 2 Autologous blood donation vs control, Outcome 2 Blood transfusion (proportion).
Figuras y tablas -
Analysis 2.2

Comparison 2 Autologous blood donation vs control, Outcome 2 Blood transfusion (proportion).

Comparison 2 Autologous blood donation vs control, Outcome 3 Blood transfusion (red blood cell).
Figuras y tablas -
Analysis 2.3

Comparison 2 Autologous blood donation vs control, Outcome 3 Blood transfusion (red blood cell).

Comparison 2 Autologous blood donation vs control, Outcome 4 Blood loss.
Figuras y tablas -
Analysis 2.4

Comparison 2 Autologous blood donation vs control, Outcome 4 Blood loss.

Comparison 2 Autologous blood donation vs control, Outcome 5 Major blood loss (proportion).
Figuras y tablas -
Analysis 2.5

Comparison 2 Autologous blood donation vs control, Outcome 5 Major blood loss (proportion).

Comparison 2 Autologous blood donation vs control, Outcome 6 Total hospital stay.
Figuras y tablas -
Analysis 2.6

Comparison 2 Autologous blood donation vs control, Outcome 6 Total hospital stay.

Comparison 2 Autologous blood donation vs control, Outcome 7 Operating time.
Figuras y tablas -
Analysis 2.7

Comparison 2 Autologous blood donation vs control, Outcome 7 Operating time.

Comparison 3 Cardiopulmonary interventions, Outcome 1 Mortality (perioperative).
Figuras y tablas -
Analysis 3.1

Comparison 3 Cardiopulmonary interventions, Outcome 1 Mortality (perioperative).

Comparison 3 Cardiopulmonary interventions, Outcome 2 Serious adverse events (proportion).
Figuras y tablas -
Analysis 3.2

Comparison 3 Cardiopulmonary interventions, Outcome 2 Serious adverse events (proportion).

Comparison 3 Cardiopulmonary interventions, Outcome 3 Serious adverse events (number).
Figuras y tablas -
Analysis 3.3

Comparison 3 Cardiopulmonary interventions, Outcome 3 Serious adverse events (number).

Comparison 3 Cardiopulmonary interventions, Outcome 4 Adverse events (proportion).
Figuras y tablas -
Analysis 3.4

Comparison 3 Cardiopulmonary interventions, Outcome 4 Adverse events (proportion).

Comparison 3 Cardiopulmonary interventions, Outcome 5 Adverse events (number).
Figuras y tablas -
Analysis 3.5

Comparison 3 Cardiopulmonary interventions, Outcome 5 Adverse events (number).

Comparison 3 Cardiopulmonary interventions, Outcome 6 Blood transfusion (proportion).
Figuras y tablas -
Analysis 3.6

Comparison 3 Cardiopulmonary interventions, Outcome 6 Blood transfusion (proportion).

Comparison 3 Cardiopulmonary interventions, Outcome 7 Blood transfusion (red blood cell).
Figuras y tablas -
Analysis 3.7

Comparison 3 Cardiopulmonary interventions, Outcome 7 Blood transfusion (red blood cell).

Comparison 3 Cardiopulmonary interventions, Outcome 8 Blood transfusion (fresh frozen plasma).
Figuras y tablas -
Analysis 3.8

Comparison 3 Cardiopulmonary interventions, Outcome 8 Blood transfusion (fresh frozen plasma).

Comparison 3 Cardiopulmonary interventions, Outcome 9 Blood transfusion (cryoprecipitate).
Figuras y tablas -
Analysis 3.9

Comparison 3 Cardiopulmonary interventions, Outcome 9 Blood transfusion (cryoprecipitate).

Comparison 3 Cardiopulmonary interventions, Outcome 10 Blood loss.
Figuras y tablas -
Analysis 3.10

Comparison 3 Cardiopulmonary interventions, Outcome 10 Blood loss.

Comparison 3 Cardiopulmonary interventions, Outcome 11 Major blood loss (proportion).
Figuras y tablas -
Analysis 3.11

Comparison 3 Cardiopulmonary interventions, Outcome 11 Major blood loss (proportion).

Comparison 3 Cardiopulmonary interventions, Outcome 12 Hospital stay.
Figuras y tablas -
Analysis 3.12

Comparison 3 Cardiopulmonary interventions, Outcome 12 Hospital stay.

Comparison 3 Cardiopulmonary interventions, Outcome 13 Operating time.
Figuras y tablas -
Analysis 3.13

Comparison 3 Cardiopulmonary interventions, Outcome 13 Operating time.

Comparison 4 Methods of parenchymal transection, Outcome 1 Mortality (perioperative).
Figuras y tablas -
Analysis 4.1

Comparison 4 Methods of parenchymal transection, Outcome 1 Mortality (perioperative).

Comparison 4 Methods of parenchymal transection, Outcome 2 Serious adverse events (proportion).
Figuras y tablas -
Analysis 4.2

Comparison 4 Methods of parenchymal transection, Outcome 2 Serious adverse events (proportion).

Comparison 4 Methods of parenchymal transection, Outcome 3 Serious adverse events (number).
Figuras y tablas -
Analysis 4.3

Comparison 4 Methods of parenchymal transection, Outcome 3 Serious adverse events (number).

Comparison 4 Methods of parenchymal transection, Outcome 4 Adverse events (proportion).
Figuras y tablas -
Analysis 4.4

Comparison 4 Methods of parenchymal transection, Outcome 4 Adverse events (proportion).

Comparison 4 Methods of parenchymal transection, Outcome 5 Adverse events (number).
Figuras y tablas -
Analysis 4.5

Comparison 4 Methods of parenchymal transection, Outcome 5 Adverse events (number).

Comparison 4 Methods of parenchymal transection, Outcome 6 Blood transfusion (proportion).
Figuras y tablas -
Analysis 4.6

Comparison 4 Methods of parenchymal transection, Outcome 6 Blood transfusion (proportion).

Comparison 4 Methods of parenchymal transection, Outcome 7 Blood transfusion (red blood cell).
Figuras y tablas -
Analysis 4.7

Comparison 4 Methods of parenchymal transection, Outcome 7 Blood transfusion (red blood cell).

Comparison 4 Methods of parenchymal transection, Outcome 8 Blood transfusion (fresh frozen plasma).
Figuras y tablas -
Analysis 4.8

Comparison 4 Methods of parenchymal transection, Outcome 8 Blood transfusion (fresh frozen plasma).

Comparison 4 Methods of parenchymal transection, Outcome 9 Blood loss.
Figuras y tablas -
Analysis 4.9

Comparison 4 Methods of parenchymal transection, Outcome 9 Blood loss.

Comparison 4 Methods of parenchymal transection, Outcome 10 Operating time.
Figuras y tablas -
Analysis 4.10

Comparison 4 Methods of parenchymal transection, Outcome 10 Operating time.

Comparison 5 Methods of dealing with cut surface, Outcome 1 Mortality (perioperative).
Figuras y tablas -
Analysis 5.1

Comparison 5 Methods of dealing with cut surface, Outcome 1 Mortality (perioperative).

Comparison 5 Methods of dealing with cut surface, Outcome 2 Serious adverse events (proportion).
Figuras y tablas -
Analysis 5.2

Comparison 5 Methods of dealing with cut surface, Outcome 2 Serious adverse events (proportion).

Comparison 5 Methods of dealing with cut surface, Outcome 3 Serious adverse events (number).
Figuras y tablas -
Analysis 5.3

Comparison 5 Methods of dealing with cut surface, Outcome 3 Serious adverse events (number).

Comparison 5 Methods of dealing with cut surface, Outcome 4 Adverse events (proportion).
Figuras y tablas -
Analysis 5.4

Comparison 5 Methods of dealing with cut surface, Outcome 4 Adverse events (proportion).

Comparison 5 Methods of dealing with cut surface, Outcome 5 Adverse events (number).
Figuras y tablas -
Analysis 5.5

Comparison 5 Methods of dealing with cut surface, Outcome 5 Adverse events (number).

Comparison 5 Methods of dealing with cut surface, Outcome 6 Blood transfusion (proportion).
Figuras y tablas -
Analysis 5.6

Comparison 5 Methods of dealing with cut surface, Outcome 6 Blood transfusion (proportion).

Comparison 5 Methods of dealing with cut surface, Outcome 7 Blood transfusion (red blood cell).
Figuras y tablas -
Analysis 5.7

Comparison 5 Methods of dealing with cut surface, Outcome 7 Blood transfusion (red blood cell).

Comparison 5 Methods of dealing with cut surface, Outcome 8 Blood transfusion (fresh frozen plasma).
Figuras y tablas -
Analysis 5.8

Comparison 5 Methods of dealing with cut surface, Outcome 8 Blood transfusion (fresh frozen plasma).

Comparison 5 Methods of dealing with cut surface, Outcome 9 Blood loss.
Figuras y tablas -
Analysis 5.9

Comparison 5 Methods of dealing with cut surface, Outcome 9 Blood loss.

Comparison 5 Methods of dealing with cut surface, Outcome 10 Total hospital stay.
Figuras y tablas -
Analysis 5.10

Comparison 5 Methods of dealing with cut surface, Outcome 10 Total hospital stay.

Comparison 5 Methods of dealing with cut surface, Outcome 11 ITU stay.
Figuras y tablas -
Analysis 5.11

Comparison 5 Methods of dealing with cut surface, Outcome 11 ITU stay.

Comparison 5 Methods of dealing with cut surface, Outcome 12 Operating time.
Figuras y tablas -
Analysis 5.12

Comparison 5 Methods of dealing with cut surface, Outcome 12 Operating time.

Comparison 6 Methods of vascular occlusion, Outcome 1 Mortality (perioperative).
Figuras y tablas -
Analysis 6.1

Comparison 6 Methods of vascular occlusion, Outcome 1 Mortality (perioperative).

Comparison 6 Methods of vascular occlusion, Outcome 2 Serious adverse events (proportion).
Figuras y tablas -
Analysis 6.2

Comparison 6 Methods of vascular occlusion, Outcome 2 Serious adverse events (proportion).

Comparison 6 Methods of vascular occlusion, Outcome 3 Serious adverse events (number).
Figuras y tablas -
Analysis 6.3

Comparison 6 Methods of vascular occlusion, Outcome 3 Serious adverse events (number).

Comparison 6 Methods of vascular occlusion, Outcome 4 Adverse events (proportion).
Figuras y tablas -
Analysis 6.4

Comparison 6 Methods of vascular occlusion, Outcome 4 Adverse events (proportion).

Comparison 6 Methods of vascular occlusion, Outcome 5 Adverse events (number).
Figuras y tablas -
Analysis 6.5

Comparison 6 Methods of vascular occlusion, Outcome 5 Adverse events (number).

Comparison 6 Methods of vascular occlusion, Outcome 6 Blood transfusion (proportion).
Figuras y tablas -
Analysis 6.6

Comparison 6 Methods of vascular occlusion, Outcome 6 Blood transfusion (proportion).

Comparison 6 Methods of vascular occlusion, Outcome 7 Blood transfusion (red blood cell).
Figuras y tablas -
Analysis 6.7

Comparison 6 Methods of vascular occlusion, Outcome 7 Blood transfusion (red blood cell).

Comparison 6 Methods of vascular occlusion, Outcome 8 Blood loss.
Figuras y tablas -
Analysis 6.8

Comparison 6 Methods of vascular occlusion, Outcome 8 Blood loss.

Comparison 6 Methods of vascular occlusion, Outcome 9 Major blood loss (proportion).
Figuras y tablas -
Analysis 6.9

Comparison 6 Methods of vascular occlusion, Outcome 9 Major blood loss (proportion).

Comparison 6 Methods of vascular occlusion, Outcome 10 Total hospital stay.
Figuras y tablas -
Analysis 6.10

Comparison 6 Methods of vascular occlusion, Outcome 10 Total hospital stay.

Comparison 6 Methods of vascular occlusion, Outcome 11 ITU stay.
Figuras y tablas -
Analysis 6.11

Comparison 6 Methods of vascular occlusion, Outcome 11 ITU stay.

Comparison 6 Methods of vascular occlusion, Outcome 12 Operating time.
Figuras y tablas -
Analysis 6.12

Comparison 6 Methods of vascular occlusion, Outcome 12 Operating time.

Comparison 7 Pharmacological interventions, Outcome 1 Mortality (perioperative).
Figuras y tablas -
Analysis 7.1

Comparison 7 Pharmacological interventions, Outcome 1 Mortality (perioperative).

Comparison 7 Pharmacological interventions, Outcome 2 Serious adverse events (proportion).
Figuras y tablas -
Analysis 7.2

Comparison 7 Pharmacological interventions, Outcome 2 Serious adverse events (proportion).

Comparison 7 Pharmacological interventions, Outcome 3 Serious adverse events (number).
Figuras y tablas -
Analysis 7.3

Comparison 7 Pharmacological interventions, Outcome 3 Serious adverse events (number).

Comparison 7 Pharmacological interventions, Outcome 4 Adverse events (proportion).
Figuras y tablas -
Analysis 7.4

Comparison 7 Pharmacological interventions, Outcome 4 Adverse events (proportion).

Comparison 7 Pharmacological interventions, Outcome 5 Adverse events (number).
Figuras y tablas -
Analysis 7.5

Comparison 7 Pharmacological interventions, Outcome 5 Adverse events (number).

Comparison 7 Pharmacological interventions, Outcome 6 Blood transfusion (proportion).
Figuras y tablas -
Analysis 7.6

Comparison 7 Pharmacological interventions, Outcome 6 Blood transfusion (proportion).

Comparison 7 Pharmacological interventions, Outcome 7 Blood transfusion (fresh frozen plasma).
Figuras y tablas -
Analysis 7.7

Comparison 7 Pharmacological interventions, Outcome 7 Blood transfusion (fresh frozen plasma).

Comparison 7 Pharmacological interventions, Outcome 8 Blood loss.
Figuras y tablas -
Analysis 7.8

Comparison 7 Pharmacological interventions, Outcome 8 Blood loss.

Comparison 7 Pharmacological interventions, Outcome 9 Hospital stay.
Figuras y tablas -
Analysis 7.9

Comparison 7 Pharmacological interventions, Outcome 9 Hospital stay.

Comparison 7 Pharmacological interventions, Outcome 10 Operating time.
Figuras y tablas -
Analysis 7.10

Comparison 7 Pharmacological interventions, Outcome 10 Operating time.

Methods to decrease blood loss during liver resection: a network meta‐analysis. Primary outcomes

Patient or population: people undergoing liver resection

Settings: secondary or tertiary setting

Intervention and control: various treatments

Follow‐up: until discharge or 1 month (except for mortality (long‐term follow‐up) which was reported at 1 year

Outcomes

Anterior approach versus conventional approach

Autologous blood donation versus control

Cardiopulmonary interventions

Methods of parenchymal transection

Methods of dealing with cut surface

Methods of vascular occlusion

Pharmacological interventions

Treatments

The first treatment listed is the control. The remaining are interventions.

  1. Conventional approach

  2. Anterior approach

  1. Control

  2. Autologous blood donation

  1. Control

  2. Acute normovolemic haemodilution plus low central venous pressure

  3. Hypoventilation

  4. Low central venous pressure

  1. Clamp‐crush method

  2. Cavitron ultrasonic surgical aspirator

  3. Hydrojet

  4. Radiofrequency dissecting sealer

  5. Sharp transection method

  6. Stapler

  1. Control

  2. Argon beam

  3. Collagen

  4. Cyanoacrylate

  5. Fibrin sealant

  6. Fibrin sealant plus collagen

  7. Oxidised cellulose

  8. Plasmajet

  1. Control

  2. Continuous hepatic vascular exclusion

  3. Continuous portal triad clamping

  4. Continuous selective hepatic vascular exclusion

  5. Continuous selective portal triad clamping

  6. Intermittent portal triad clamping

  7. Intermittent selective portal triad clamping

  1. Control

  2. Anti‐thrombin III

  3. Recombinant factor VIIa

  4. Tranexamic acid

Link for detailed 'Summary of Findings tables'

Table 14

Table 15

Table 16

Table 17

Table 18

Table 19

Table 20

Mortality (perioperative)

There was no evidence of differences in perioperative mortality between the 2 groups.

Quality of evidence = very low1,2,3.

There was no evidence of differences in perioperative mortality between the two groups.

Quality of evidence = very low1,2,3.

There was no evidence of differences in perioperative mortality for any of the comparisons.

Quality of evidence = very low1,2,3.

There was no evidence of differences in perioperative mortality for any of the comparisons.

Quality of evidence = very low1,2,3.

There was no evidence of differences in perioperative mortality for any of the comparisons

Quality of evidence = very low1,2,3.

There was no evidence of differences in perioperative mortality for any of the comparisons.

Quality of evidence = very low1,2,3.

There was no evidence of differences in perioperative mortality for any of the comparisons.

Quality of evidence = very low1,2,3.

Mortality (longest follow‐up)

None of the trials reported this outcome.

There was no evidence of differences in mortality at 1 year between the 2 groups. Quality of evidence = very low)1,2,3.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome.

Serious adverse events (proportion)

There was no evidence of differences in the proportion of participants experiencing serious adverse events between the 2 groups.

Quality of evidence = very low1,2,3.

None of the trials reported this outcome.

There was no evidence of differences in the proportion of participants experiencing serious adverse events (for any of the comparisons

Quality of evidence = very low1,2,3.

There was no evidence of differences in the proportion of participants experiencing serious adverse events for any of the comparisons

Quality of evidence = very low1,2,3.

There was no evidence of differences in the proportion of participants experiencing serious adverse events for any of the comparisons

Quality of evidence = very low1,2,3.

The proportion of participants experiencing serious adverse eventsa was lower in continuous selective portal triad clamping than continuous portal triad clamping

  • Proportion with serious adverse events in continuous portal triad clamping: 367 per 1000

  • Proportion with serious adverse events in continuous selective portal triad clamping: 154 per 1000 (66 to 352)

  • Relative effect: OR 0.42, 95% CrI 0.18 to 0.96

  • 120 participants; 1 study.

  • Quality of evidence = very low1,2,3.

There was no evidence of differences in other comparisons.

Quality of evidence = very low1,2,3

There was no evidence of differences in the proportion of participants experiencing serious adverse events for any of the comparisons

Quality of evidence = very low1,2,3.

Serious adverse events (number)

None of the trials reported this outcome.

None of the trials reported this outcome.

There was no evidence of differences in the number of serious adverse events for any of the comparisons

Quality of evidence = very low1,2,3.

The number of serious adverse events was higher in radiofrequency dissecting sealer than clamp‐crush method.

  • Serious adverse rate in clamp‐crush method: 53 per 1000

  • Serious adverse rate in radiofrequency dissecting sealer: 193 per 1000 (66 to 740)

  • Relative effect: rate ratio 3.64, 95% CrI 1.25 to 13.97.

  • 130 participants; 2 studies.

  • Quality of evidence = low1,2.

There was no evidence of differences in other comparisons.

Quality of evidence = very low1,2,3.

The number of serious adverse events was higher in fibrin sealant than argon beam.

  • Serious adverse event rate in argon beam: 65 per 1000

  • Serious adverse event rate in fibrin sealant: 313 per 1000 (112 to 1138)

  • Relative effect: rate ratio 4.81, 95% CrI 1.73 to 17.5.

  • 121 participants; 1 study.

  • Quality of evidence = low1,2.

There was no evidence of differences in other comparisons.

Quality of evidence = very low1,2,3.

The number of serious adverse events was lower in intermittent portal triad clamping than continuous portal triad clamping.

  • Serious adverse event rate in continuous portal triad clamping: 136 per 1000

  • Serious adverse event rate in intermittent portal triad clamping: 12 per 1000 (0 to 76)

  • Relative effect: rate ratio 0.09, 95% CrI 0.00 to 0.56

  • 86 participants; 1 study.

  • Quality of evidence = low1,2.

There was no evidence of differences in other comparisons

Quality of evidence = very low1,2,3.

There was no evidence of differences in the number of serious adverse events for any of the comparisons

Quality of evidence = very low1,2,3.

Health‐related quality of life

None of the trials reported this outcome.

None of the trials reported this outcome.

None of the trials reported this outcome at any time point.

None of the trials reported this outcome at any time point.

None of the trials reported this outcome at any time point.

None of the trials reported this outcome at any time point.

None of the trials reported this outcome at any time point.

CrI: credible intervals; OR: odds ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).
a Network meta‐analysis was performed for this outcome because of the availability of direct and indirect comparisons in the network. The remaining outcomes were analysed by direct comparisons.

Figuras y tablas -
Table 14. Detailed 'Summary of findings' table: anterior approach vs conventional approach

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

76 per 1000

19 per 1000
(2 to 82)

OR 0.23
(0.03 to 1.08)

185
(2 studies)

⊕⊝⊝⊝
Very low1,2,3

Mortality (longest follow‐up)

None of the trials reported this outcome.

Serious adverse events (proportion)

125 per 1000

154 per 1000
(40 to 457)

OR 1.27
(0.29 to 5.89)

65
(1 study)

⊕⊝⊝⊝
Very low1,2,3

Serious adverse events (number)

None of the trials reported this outcome.

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (maximal follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes since there were only two treatments.

CrI: credible intervals; OR: odds ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 14. Detailed 'Summary of findings' table: anterior approach vs conventional approach
Table 15. Detailed 'Summary of findings' table: autologous blood donation vs control

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

There was no mortality in either group.

28

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Mortality (longest follow‐up): reported at 1 year

There was no mortality in either group.

28

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Serious adverse events (proportion)

None of the trials reported this outcome.

Serious adverse events (number)

None of the trials reported this outcome.

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (longest follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes since there were only two treatments.

CrI: credible intervals; OR: odds ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 15. Detailed 'Summary of findings' table: autologous blood donation vs control
Table 16. Detailed 'Summary of findings' table: cardiopulmonary interventions

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

Hypoventilation vs control

There was no mortality in either group.

79

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Low central venous pressure vs control

There was no mortality in either group.

85

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Mortality (longest follow‐up)

None of the trials reported this outcome.

Serious adverse events (proportion)

Hypoventilation vs control

26 per 1000

60 per 1000

(5 to 679)

OR 2.41

(0.18 to 80.4)

79

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Low central venous pressure vs acute normovolemic haemodilution plus low CVP

302 per 1000

284 per 1000

(157 to 460)

OR 0.92

(0.43 to 1.97)

63

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Serious adverse events (number)

Low central venous pressure vs control

100 per 1000

0 per 1000

(0 to 2)

Rate ratio 0.00

(0 to 0.02)

42

(1 study)

⊕⊝⊝⊝

Very lowa,b,c

Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

103 per 1000

77 per 1000

(15 to 287)

Rate ratio 0.73

(0.13 to 3.53)

78

(1 study)

⊕⊝⊝⊝

Very lowa,b,c

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (longest follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes because of the lack of availability of direct and indirect comparisons in the network.

CrI: credible intervals; OR: odds ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1aRisk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 16. Detailed 'Summary of findings' table: cardiopulmonary interventions
Table 17. Detailed 'Summary of findings' table: methods of parenchymal transection

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

CUSA vs clamp‐crush method

23 per 1000

6 per 1000

(0 to 54)

OR 0.24

(0.01 to 2.41)

172

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs clamp‐crush method

10 per 1000

16 per 1000

(4 to 65)

OR 1.60

(0.43 to 6.7)

390

(5 studies)

⊕⊝⊝⊝

Very low1,2,3

Sharp transection method vs clamp‐crush method

There was no mortality in either group.

82

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Stapler vs clamp‐crush method

31 per 1000

67 per 1000

(12 to 375)

OR 2.26

(0.39 to 18.93)

130

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Hydrojet vs CUSA

55 per 1000

54 per 1000

(9 to 258)

OR 0.98

(0.16 to 6.04)

111

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs CUSA

44 per 1000

28 per 1000

(3 to 166)

OR 0.61

(0.07 to 4.28)

90

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Stapler vs CUSA

There was no mortality in either group.

79

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs hydrojet

80 per 1000

9 per 1000

(0 to 145)

OR 0.10

(0 to 1.95)

50

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Mortality (longest follow‐up)

None of the trials reported this outcome.

Serious adverse events (proportion)

CUSA vs clamp‐crush method

93 per 1000

31 per 1000

(6 to 110)

OR 0.31

(0.06 to 1.2)

172

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs clamp‐crush method

58 per 1000

49 per 1000

(15 to 145)

OR 0.83

(0.24 to 2.74)

240

(3 studies)

⊕⊝⊝⊝

Very low1,2,3

Sharp transection method vs clamp‐crush method

49 per 1000

106 per 1000

(20 to 502)

OR 2.31

(0.39 to 19.69)

82

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Hydrojet vs CUSA

100 per 1000

124 per 1000

(61 to 238)

OR 1.27

(0.58 to 2.81)

61

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs CUSA

50 per 1000

30 per 1000

(3 to 180)

OR 0.58

(0.06 to 4.16)

40

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Stapler vs CUSA

246 per 1000

246 per 1000

(6 to 931)

OR 1.00

(0.02 to 41.22)

130

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Serious adverse events (number)

CUSA vs clamp‐crush method

45 per 1000

29 per 1000

(3 to 166)

Rate ratio 0.63

(0.07 to 4.17)

132

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs clamp‐crush method

61 per 1000

190 per 1000

(75 to 474)

Rate ratio 3.64

(1.25 to 13.97)

130

(2 studies)

⊕⊕⊝⊝

Low1,2

Hydrojet vs CUSA

80 per 1000

121 per 1000

(20 to 546)

Rate ratio 1.59

(0.24 to 13.83)

50

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs CUSA

80 per 1000

121 per 1000

(20 to 546)

Rate ratio 1.59

(0.24 to 13.83)

50

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Stapler vs CUSA

180 per 1000

230 per 1000

(109 to 424)

Rate ratio 1.36

(0.56 to 3.36)

100

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Radiofrequency dissecting sealer vs hydrojet

120 per 1000

120 per 1000

(23 to 445)

Rate ratio 1.00

(0.17 to 5.88)

50

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (maximal follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes because of the lack of availability of direct and indirect comparisons in the network.

CrI: credible intervals; CUSA: cavitron ultrasonic surgical aspirator; OR: odds ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 17. Detailed 'Summary of findings' table: methods of parenchymal transection
Table 18. Detailed 'Summary of findings' Table: methods of dealing with cut surface

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

Fibrin sealant vs control

11 per 1000

41 per 1000

(10 to 253)

OR 4.03

(0.9 to 31.72)

380

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant and collagen vs control

13 per 1000

45 per 1000

(10 to 268)

OR 3.48

(0.74 to 27.03)

300

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant vs argon beam

53 per 1000

72 per 1000

(25 to 198)

OR 1.39

(0.46 to 4.45)

227

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant vs collagen

33 per 1000

30 per 1000

(7 to 123)

OR 0.91

(0.2 to 4.14)

256

(3 studies)

⊕⊝⊝⊝

Very low1,2,3

Oxidised cellulose vs fibrin sealant

56 per 1000

31 per 1000

(1 to 565)

OR 0.54

(0.01 to 22.09)

50

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Plasmajet vs fibrin sealant

103 per 1000

65 per 1000

(7 to 332)

OR 0.60

(0.06 to 4.31)

58

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Mortality (longest follow‐up)

None of the trials reported this outcome.

Serious adverse events (proportion)

Fibrin sealant vs control

186 per 1000

191 per 1000

(128 to 275)

OR 1.03

(0.64 to 1.66)

457

(3 studies)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant vs argon beam

269 per 1000

183 per 1000

(78 to 360)

OR 0.61

(0.23 to 1.53)

106

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant vs collagen

258 per 1000

356 per 1000

(205 to 547)

OR 1.59

(0.74 to 3.47)

127

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Oxidised cellulose vs fibrin sealant

444 per 1000

309 per 1000

(113 to 603)

OR 0.56

(0.16 to 1.9)

50

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Plasmajet vs fibrin sealant

207 per 1000

25 per 1000

(0 to 165)

OR 0.10

(0 to 0.76)

58

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Serious adverse events (number)

Fibrin sealant vs control

486 per 1000

470 per 1000

(307 to 640)

Rate ratio 0.94

(0.47 to 1.88)

70

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant & collagen vs control

147 per 1000

186 per 1000

(116 to 286)

Rate ratio 1.33

(0.76 to 2.33)

300

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant vs argon beam

65 per 1000

249 per 1000

(107 to 547)

Rate ratio 4.81

(1.73 to 17.5)

121

(1 study)

⊕⊕⊝⊝

Low1,2

Fibrin sealant vs collagen

323 per 1000

369 per 1000

(266 to 488)

Rate ratio 1.23

(0.76 to 2)

189

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Fibrin sealant vs cyanoacrylate

67 per 1000

67 per 1000

(2 to 733)

Rate ratio 1.01

(0.03 to 38.36)

30

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Oxidised cellulose vs cyanoacrylate

67 per 1000

277 per 1000

(46 to 921)

Rate ratio 5.37

(0.67 to 163.2)

30

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Oxidised cellulose vs fibrin sealant

67 per 1000

278 per 1000

(46 to 926)

Rate ratio 5.40

(0.67 to 174.86)

30

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (longest follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes because of the lack of availability of direct and indirect comparisons in the network.

CrI: credible intervals; OR: odds ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 18. Detailed 'Summary of findings' Table: methods of dealing with cut surface
Table 19. Detailed 'Summary of findings' table: methods of vascular occlusion

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

Continuous portal triad clamping vs control

There was no mortality in either group.

15

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs control

26 per 1000

15 per 1000

(3 to 60)

OR 0.60

(0.13 to 2.42)

392

(4 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous portal triad clamping vs continuous hepatic vascular exclusion

1 per 1000

5 per 1000

(4 to 15)

OR 4.91

(3.68 to 15.64)

170

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

There was no mortality in either group.

160

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective portal triad clamping vs continuous portal triad clamping

There was no mortality in either group.

120

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs continuous portal triad clamping

67 per 1000

10 per 1000

(0 to 70)

OR 0.14

(0 to 1.05)

121

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs continuous selective portal triad clamping

There was no mortality in either group.

80

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Intermittent selective portal triad clamping vs intermittent portal triad clamping

1 per 1000

2 per 1000

(0 to 69)

OR 2.27

(0.17 to 74)

138

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Mortality (longest follow‐up)

None of the trials reported this outcome.

Serious adverse events (proportion)*

Continuous hepatic vascular exclusion vs control

99 per 1000

200 per 1000

(19 to 785)

Rate ratio 2.27

(0.18 to 33.05)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous portal triad clamping vs control

99 per 1000

135 per 1000

(30 to 439)

Rate ratio 1.42

(0.28 to 7.09)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective hepatic vascular exclusion vs control

99 per 1000

15 per 1000

(0 to 325)

Rate ratio 0.14

(0 to 4.37)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective portal triad clamping vs control

99 per 1000

55 per 1000

(11 to 226)

Rate ratio 0.53

(0.1 to 2.65)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs control

99 per 1000

113 per 1000

(56 to 217)

Rate ratio 1.16

(0.54 to 2.51)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous portal triad clamping vs continuous hepatic vascular exclusion

50 per 1000

32 per 1000

(2 to 412)

Rate ratio 0.63

(0.03 to 13.31)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective hepatic vascular exclusion vs continuous hepatic vascular exclusion

50 per 1000

3 per 1000

(0 to 442)

Rate ratio 0.06

(0 to 15.06)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective portal triad clamping vs continuous hepatic vascular exclusion

50 per 1000

12 per 1000

(1 to 209)

Rate ratio 0.23

(0.01 to 5.02)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs continuous hepatic vascular exclusion

50 per 1000

26 per 1000

(2 to 288)

Rate ratio 0.51

(0.03 to 7.68)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

139 per 1000

16 per 1000

(0 to 724)

Rate ratio 0.10

(0 to 16.28)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective portal triad clamping vs continuous portal triad clamping

139 per 1000

56 per 1000

(6 to 374)

Rate ratio 0.37

(0.04 to 3.7)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs continuous portal triad clamping

139 per 1000

117 per 1000

(22 to 439)

Rate ratio 0.82

(0.14 to 4.86)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Continuous selective portal triad clamping vs continuous selective hepatic vascular exclusion

As there were no serious adverse events in either group, the credible intervals were extremely wide. This is equivalent to not estimable in direct comparisons.

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs continuous selective hepatic vascular exclusion

As there were no serious adverse events in either group, the credible intervals were extremely wide. This is equivalent to not estimable in direct comparisons.

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Intermittent portal triad clamping vs continuous selective portal triad clamping

130 per 1000

247 per 1000

(51 to 665)

Rate ratio 2.19

(0.36 to 13.26)

815

(6 studies)

⊕⊝⊝⊝

Very low1,2,3

Serious adverse events (number)

Intermittent portal triad clamping vs control

80 per 1000

119 per 1000

(36 to 358)

Rate ratio 1.55

(0.43 to 6.4)

100

(1 study)

⊕⊝⊝⊝

Very lowa,b,c

Continuous portal triad clamping vs continuous hepatic vascular exclusion

179 per 1000

36 per 1000

(2 to 218)

Rate ratio 0.17

(0.01 to 1.28)

52

(1 study)

⊕⊝⊝⊝

Very lowa,b,c

Intermittent portal triad clamping vs continuous portal triad clamping

190 per 1000

21 per 1000

(0 to 116)

Rate ratio 0.09

(0 to 0.56)

86

(1 study)

⊕⊕⊝⊝

Lowa,b

Intermittent selective portal triad clamping vs intermittent portal triad clamping

134 per 1000

165 per 1000

(76 to 328)

Rate ratio 1.27

(0.53 to 3.15)

138

(2 studies)

⊕⊝⊝⊝

Very lowa,b,c

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (longest follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes other than serious adverse events (proportion) because of the lack of availability of direct and indirect comparisons in the network.

CrI: credible intervals; OR: odds ratio.

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 19. Detailed 'Summary of findings' table: methods of vascular occlusion
Table 20. Detailed 'Summary of findings' table: pharmacological interventions

Outcomes

Illustrative comparative risks* (95% CrI)

Relative effect (95% CrI)

No of participants
(studies)

Quality of the evidence
(GRADE)

Assumed risk

Corresponding risk

Control

Intervention

Mortality (perioperative)

Recombinant factor VIIa vs control

51 per 1000

33 per 1000

(7 to 158)

OR 0.63

(0.13 to 3.51)

185

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Tranexamic acid vs control

There was no mortality in either group.

214

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Mortality (longest follow‐up)

None of the trials reported this outcome.

Serious adverse events (proportion)

Anti‐thrombin III vs control

273 per 1000

312 per 1000

(67 to 761)

OR 1.21

(0.19 to 8.49)

24

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Recombinant Factor VIIa vs control

376 per 1000

396 per 1000

(256 to 555)

OR 1.09

(0.57 to 2.07)

432

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Serious adverse events (number)

Recombinant Factor VIIa vs control

81 per 1000

120 per 1000

(68 to 217)

Rate ratio 1.55

(0.83 to 3.16)

432

(2 studies)

⊕⊝⊝⊝

Very low1,2,3

Tranexamic acid vs control

75 per 1000

65 per 1000

(23 to 164)

Rate ratio 0.85

(0.29 to 2.41)

214

(1 study)

⊕⊝⊝⊝

Very low1,2,3

Health‐related quality of life (30 days, 3 months)

None of the trials reported this outcome.

Health‐related quality of life (maximal follow‐up)

None of the trials reported this outcome.

*The basis for the assumed risk is the mean control group proportion. The corresponding risk (and its 95% credible interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CrI).

Network meta‐analysis was not performed for any of the outcomes because of the lack of availability of direct and indirect comparisons in the network.

CrI: credible intervals; OR: odds ratio

GRADE Working Group grades of evidence
High quality: Further research is very unlikely to change our confidence in the estimate of effect.
Moderate quality: Further research is likely to have an important impact on our confidence in the estimate of effect and may change the estimate.
Low quality: Further research is very likely to have an important impact on our confidence in the estimate of effect and is likely to change the estimate.
Very low quality: We are very uncertain about the estimate.

1 Risk of bias was unclear or high in the trial(s) (downgraded by 1 point).
2 Sample size was low (total number of participants fewer than 400 for continuous outcomes and fewer than 300 events in total in both groups for other outcomes) (downgraded by 1 point).
3 Credible intervals spanned no effect and clinically significant effect (20% relative risk reduction for binary outcomes; standardised mean difference of 0.5 for health‐related quality of life) (downgraded by 1 point).

Figuras y tablas -
Table 20. Detailed 'Summary of findings' table: pharmacological interventions
Table 1. Different methods of cardiopulmonary interventions

Acute normovolemic haemodilution (ANH)

Low central venous pressure (central venous pressure)

Hypoventilation

Combination of ANH with central venous pressure or hypotension

Figuras y tablas -
Table 1. Different methods of cardiopulmonary interventions
Table 2. Different methods of parenchymal transection

Finger‐fracture method

Clamp‐crush method

Cavitron ultrasonic surgical aspirator

Sharp dissection

Radiofrequency dissecting sealer

Ultrasonic shears

Stapler

Waterjet (Hydrojet)

Figuras y tablas -
Table 2. Different methods of parenchymal transection
Table 3. Different methods of dealing with raw surface

Suturing for large and medium vessels and ducts and performing electrocauterisation of small vessels and ducts

Suturing for large vessels and performing ultrasonic shears for medium‐sized and small vessels and ducts

Suturing and argon beam coagulator

Suturing and fibrin sealant

Suturing and collagen

Suturing and oxidised cellulose

Suturing and cyanoacrylate

Suturing and combination of fibrin sealant with collagen or oxidised cellulose

Figuras y tablas -
Table 3. Different methods of dealing with raw surface
Table 4. Different methods of vascular occlusion

No vascular occlusion

Portal triad clamping (continuous) (occlusion of inflow alone)

Portal triad clamping (intermittent) (occlusion of inflow alone)

Hepatic vascular exclusion (occlusion of inflow and outflow) (continuous or intermittent)

Selective portal trial clamping (occlusion of inflow to the hemi‐liver that is being resected) (continuous or intermittent)

Selective hepatic vascular exclusion (occlusion of inflow to the hemi‐liver and outflow from the hemi‐liver that is being resected) (continuous or intermittent)

Figuras y tablas -
Table 4. Different methods of vascular occlusion
Table 5. Clavien‐Dindo classification of postoperative complications

Grades

Definitions

Examples

I

Any deviation from the normal postoperative course without the need for pharmacological treatment or surgical, endoscopic, or radiological interventions

Drugs such as antiemetics, antipyretics, analgesics, diuretics, and electrolytes; physiotherapy; wound infections opened at the bedside

II

Requiring pharmacological treatment with drugs other than those allowed for grade I complications

Blood transfusions, total parenteral nutrition

III

Requiring surgical, endoscopic, or radiological intervention

Bile leak requiring endoscopic stent; re‐operation for any cause; drainage of infected intra‐abdominal collection

IV

Life‐threatening complication requiring high dependency or intensive care management

Dialysis

V

Death of patient

Suffix d

If the patient suffers from a complication at the time of discharge and needs further follow‐up to evaluate the complication fully

Adapted from Dindo 2004; Clavien 2009.

Figuras y tablas -
Table 5. Clavien‐Dindo classification of postoperative complications
Table 6. Cardiopulmonary interventions: choice of model results

Blood transfusion (red blood cell) (units)

Treatment number

Treatment name

1

Control

2

Acute normovolemic haemodilution

3

Acute normovolemic haemodilution plus hypotension

4

Acute normovolemic haemodilution plus low central venous pressure

5

Low central venous pressure

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

2.68

−8.90

−9.80

pDb

10.05

12.67

11.96

DICc

12.73

3.77

2.17

d[2]d

−1.23 (95% CrI −1.74 to −0.73)

−1.26 (95% CrI −4.92 to 2.39)

d[3]e

−1.65 (95% CrI −2.06 to −1.25)

−1.68 (95% CrI −5.33 to 1.98)

d[4]f

0.15 (95% CrI −0.10 to 0.40)

−0.57 (95% CrI −3.35 to 1.88)

d[5]g

−0.81 (95% CrI −1.33 to −0.30)

−1.08 (95% CrI −3.43 to 1.13)

Between‐study standard deviation

1.446

Model used

Random‐effects model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Blood loss (litres)

Treatment number

Treatment name

1

Control

2

Acute normovolemic haemodilution

3

Acute normovolemic haemodilution plus hypotension

4

Acute normovolemic haemodilution plus low central venous pressure

5

Hypoventilation

6

Low central venous pressure

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

−24.73

−36.06

−36.65

pDb

14.00

17.77

18.26

DICc

−10.73

−18.29

−18.39

d[2]d

0.00 (95% CrI −0.10 to 0.10)

0.00 (95% CrI −0.95 to 0.96)

d[3]e

−0.25 (95% CrI −0.37 to −0.13)

−0.25 (95% CrI −1.20 to 0.71)

d[4]f

0.01 (95% CrI −0.04 to 0.07)

−0.10 (95% CrI −0.88 to 0.46)

d[5]g

0.00 (95% CrI −1.12 to 1.12)

−0.01 (95% CrI −1.44 to 1.43)

d[6]h

−0.29 (95% CrI −0.40 to −0.18)

−0.32 (95% CrI −0.86 to 0.09)

Between‐study standard deviation

0.3734

Model used

Random‐effects model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

aDbar = posterior mean of deviance.
bpD = effective number of parameters.
cDIC = deviance information criterion.
dd[2] indicates effect estimate (mean difference) of treatment 2 versus treatment 1.
ed[3] indicates effect estimate (mean difference) of treatment 3 versus treatment 1.
fd[4] indicates effect estimate (mean difference) of treatment 4 versus treatment 1.
gd[5] indicates effect estimate (mean difference) of treatment 5 versus treatment 1.
hd[6] indicates effect estimate (mean difference) of treatment 6 versus treatment 1.

Figuras y tablas -
Table 6. Cardiopulmonary interventions: choice of model results
Table 7. Parenchymal transection methods: choice of model results

Adverse events (proportion)

Treatment number

Treatment name

1

Clamp‐crush method

2

Cavitron ultrasonic surgical aspirator

3

Hydrojet

4

Radiofrequency dissecting sealer

5

Sharp transection method

6

Stapler

Fixed‐effect model

Random‐effects model

Inconsistency model*

Dbara

95.62

80.26

81.67

pDb

13.05

17.04

16.71

DICc

108.67

97.30

98.37

d[2]d

0.32 (95% CrI −0.28 to 0.92)

0.76 (95% CrI −2.18 to 4.69)

d[3]e

−0.99 (95% CrI −2.76 to 0.54)

−0.56 (95% CrI −6.84 to 6.60)

d[4]f

0.11 (95% CrI −0.46 to 0.68)

0.19 (95% CrI −2.95 to 3.50)

d[5]g

0.10 (95% CrI −0.79 to 1.00)

0.1 (95% CrI −5.59 to 5.80)

d[6]h

0.06 (95% CrI −0.63 to 0.76)

0.06 (95% CrI −5.59 to 5.76)

Between‐study standard deviation

2.436

Model used

Random‐effects model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Adverse events (number)

Treatment number

Treatment name

1

Clamp‐crush method

2

Cavitron ultrasonic surgical aspirator

3

Hydrojet

4

Radiofrequency dissecting sealer

5

Sharp transection method

6

Stapler

Fixed‐effect model

Random‐effects model

Inconsistency model*

Dbara

80.99

80.94

79.59

pDb

11.93

11.88

14.76

DICc

92.92

92.83

94.35

d[2]d

0.47 (95% CrI −0.08 to 1.03)

0.47 (95% CrI −0.08 to 1.03)

d[3]e

0.34 (95% CrI −0.71 to 1.29)

0.33 (95% CrI −0.71 to 1.28)

d[4]f

0.61 (95% CrI 0.12 to 1.12)

0.61 (95% CrI 0.12 to 1.11)

d[5]g

0.12 (95% CrI −0.56 to 0.81)

0.12 (95% CrI −0.56 to 0.81)

d[6]h

0.62 (95% CrI −0.21 to 1.48)

0.62 (95% CrI −0.20 to 1.45)

Between‐study standard deviation

2.499

Model used

Fixed‐effect model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Blood transfusion (proportion)

Treatment number

Treatment name

1

Clamp‐crush method

2

Cavitron ultrasonic surgical aspirator

3

Hydrojet

4

Radiofrequency dissecting sealer

5

Sharp transection method

Fixed‐effect model

Random‐effects model

Inconsistency model*

Dbara

72.41

71.86

72.23

pDb

11.91

13.99

14.98

DICc

84.33

85.85

87.21

d[2]d

0.39 (95% CrI −0.62 to 1.42)

0.42 (95% CrI −1.09 to 1.96)

d[3]e

0.55 (95% CrI −0.75 to 1.83)

0.60 (95% CrI −1.47 to 2.83)

d[4]f

0.09 (95% CrI −0.50 to 0.68)

0.14 (95% CrI −0.77 to 1.32)

d[5]g

−0.22 (95% CrI −1.16 to 0.71)

−0.22 (95% CrI −2.21 to 1.75)

Between‐study standard deviation

0.6464

Model used

Fixed‐effect model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

aDBar = posterior mean of deviance.
bpD = effective number of parameters.
cDIC = deviance information criterion.
dd[2] indicates log transformed effect estimate (odds ratio or rate ratio) of treatment 2 versus treatment 1.
ed[3] indicates log transformed effect estimate (odds ratio or rate ratio) of treatment 3 versus treatment 1.
fd[4] indicates log transformed effect estimate (odds ratio or rate ratio) of treatment 4 versus treatment 1.
gd[5] indicates log transformed effect estimate (odds ratio or rate ratio) of treatment 5 versus treatment 1.
hd[6] indicates log transformed effect estimate (odds ratio or rate ratio) of treatment 6 versus treatment 1.

Figuras y tablas -
Table 7. Parenchymal transection methods: choice of model results
Table 8. Vascular occlusion methods: choice of model results

Serious adverse events (proportion)

Treatment number

Treatment name

1

Control

2

ConHVE

3

ConPTC

4

ConSelectiveHVE

5

ConSelectivePTC

6

IntPTC

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

64.25

63.57

64.03

pDb

12.54

14.37

14.83

DICc

76.79

77.95

78.86

d[2]d

0.82 (95% CrI −1.70 to 3.50)

0.62 (95% CrI −5.00 to 5.89)

d[3]e

0.35 (95% CrI −1.26 to 1.96)

0.16 (95% CrI −3.87 to 3.71)

d[4]f

−1.98 (95% CrI −8.24 to 1.48)

−2.25 (95% CrI −9.99 to 3.38)

d[5]g

−0.63 (95% CrI −2.29 to 0.97)

−1.01 (95% CrI −5.35 to 2.36)

d[6]h

0.15 (95% CrI −0.61 to 0.92)

−0.07 (95% CrI −2.53 to 1.85)

Between‐study standard deviation

1.216

Model used

Fixed‐effect model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Adverse events (proportion)

Treatment number

Treatment name

1

Control

2

ConHVE

3

ConPTC

4

ConSelectiveHVE

5

ConSelectivePTC

6

IntPTC

7

IntSelectivePTC

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

120.82

118.76

119.07

pDb

18.10

21.01

21.93

DICc

138.92

139.77

141.00

d[2]d

0.95 (95% CrI −0.21 to 2.12)

0.90 (95% CrI −1.12 to 2.84)

d[3]e

0.83 (95% CrI 0.00 to 1.69)

0.78 (95% CrI −0.58 to 2.09)

d[4]f

0.05 (95% CrI −1.19 to 1.27)

0.00 (95% CrI −2.05 to 1.96)

d[5]g

0.10 (95% CrI −0.81 to 1.01)

0.07 (95% CrI −1.42 to 1.50)

d[6]h

0.24 (95% CrI −0.19 to 0.68)

0.18 (95% CrI −0.66 to 0.88)

d[7]i

0.09 (95% CrI −0.75 to 0.93)

0.04 (95% CrI −1.37 to 1.35)

Between‐study standard deviation

0.4825

Model used

Fixed‐effect model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Blood transfusion (proportion)

Treatment number

Treatment name

1

Control

2

ConHVE

3

ConPTC

4

ConSelectiveHVE

5

ConSelectivePTC

6

IntPTC

7

IntSelectivePTC

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

139.87

120.00

120.10

pDb

19.04

25.25

25.72

DICc

158.91

145.25

145.82

d[2]d

−2.55 (95% CrI −3.80 to −1.36)

−2.88 (95% CrI −7.47 to 1.47)

d[3]e

−0.77 (95% CrI −1.56 to 0.01)

−1.11 (95% CrI −3.72 to 1.28)

d[4]f

−1.46 (95% CrI −2.58 to −0.36)

−1.79 (95% CrI −6.38 to 2.53)

d[5]g

−0.26 (95% CrI −1.18 to 0.67)

−0.48 (95% CrI −3.83 to 2.72)

d[6]h

−0.34 (95% CrI −0.84 to 0.16)

−0.47 (95% CrI −2.32 to 1.28)

d[7]i

−0.92 (95% CrI −1.96 to 0.08)

−0.97 (95% CrI −4.24 to 2.24)

Between study standard deviation

1.613

Model used

Random‐effects model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Blood transfusion (red blood cell) (units)

Treatment number

Treatment name

1

Control

2

ConHVE

3

ConPTC

4

ConSelectiveHVE

5

ConSelectivePTC

6

IntPTC

7

IntSelectivePTC

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

−1.55

−1.05

0.24

pDb

15.99

17.36

19.34

DICc

14.44

16.32

19.58

d[2]d

−1.65 (95% CrI −3.96 to 0.67)

−1.56 (95% CrI −4.18 to 1.14)

d[3]e

−1.25 (95% CrI −2.39 to −0.10)

−1.18 (95% CrI −2.54 to 0.31)

d[4]f

−2.45 (95% CrI −4.08 to −0.82)

−2.37 (95% CrI −4.33 to −0.30)

d[5]g

−1.45 (95% CrI −2.59 to −0.31)

−1.41 (95% CrI −2.86 to 0.12)

d[6]h

−1.36 (95% CrI −2.48 to −0.23)

−1.35 (95% CrI −2.69 to 0.01)

d[7]i

−1.43 (95% CrI −2.61 to −0.24)

−1.43 (95% CrI −3.01 to 0.08)

Between‐study standard deviation

0.3149

Model used

Fixed‐effect model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Blood loss (litres)

Treatment number

Treatment name

1

Control

2

ConHVE

3

ConPTC

4

ConSelectiveHVE

5

ConSelectivePTC

6

IntPTC

7

IntSelectivePTC

Fixed‐effect model

Random‐effects model

Inconsistency model

Dbara

−45.73

−61.66

−63.13

pDb

22.01

29.37

30.58

DICc

−23.72

−32.29

−32.55

d[2]d

−0.36 (95% CrI −0.50 to −0.23)

−0.37 (95% CrI −0.94 to 0.22)

d[3]e

−0.02 (95% CrI −0.12 to 0.07)

−0.14 (95% CrI −0.52 to 0.14)

d[4]f

−0.27 (95% CrI −0.54 to −0.01)

−0.39 (95% CrI −1.16 to 0.27)

d[5]g

0.09 (95% CrI −0.04 to 0.21)

0.00 (95% CrI −0.57 to 0.45)

d[6]h

0.01 (95% CrI −0.05 to 0.07)

−0.06 (95% CrI −0.39 to 0.17)

d[7]i

0.00 (95% CrI −0.21 to 0.2)

−0.18 (95% CrI −0.84 to 0.30)

Between‐study standard deviation

0.2539

Model used

Random‐effects model

Evidence of inconsistency

There is no evidence of inconsistency since the difference in DIC between consistency and inconsistency models was not significant.

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

aDBar = posterior mean of deviance.
bpD = effective number of parameters.
cDIC = deviance information criterion.
dd[2] indicates effect estimate (mean difference) of treatment 2 versus treatment 1.
ed[3] indicates effect estimate (mean difference) of treatment 3 versus treatment 1.
fd[4] indicates effect estimate (mean difference) of treatment 4 versus treatment 1.
gd[5] indicates effect estimate (mean difference) of treatment 5 versus treatment 1.
hd[6] indicates effect estimate (mean difference) of treatment 6 versus treatment 1.
id[7] indicates effect estimate (mean difference) of treatment 7 versus treatment 1.

Figuras y tablas -
Table 8. Vascular occlusion methods: choice of model results
Table 9. Cardiopulmonary interventions: pair‐wise comparisonsa,b

Blood transfusion (red blood cell) (units)

Acute normovolemic haemodilution

Acute normovolemic haemodilution plus hypotension

Acute normovolemic haemodilution plus low central venous pressure

Low central venous pressure

Control

MD −1.26; 95% CrI −4.92 to 2.39

MD −1.68; 95% CrI −5.33 to 1.98

MD −0.57; 95% CrI −3.35 to 1.88

MD −1.08; 95% CrI −3.43 to 1.13

Acute normovolemic haemodilution

MD −0.42; 95% CrI −5.59 to 4.75

MD 0.69; 95% CrI −3.80 to 5.18

MD 0.18; 95% CrI −4.12 to 4.49

Acute normovolemic haemodilution plus hypotension

MD 1.11; 95% CrI −3.39 to 5.60

MD 0.60; 95% CrI −3.71 to 4.91

Acute normovolemic haemodilution plus low central venous pressure

MD −0.51; 95% CrI −3.97 to 2.96

Blood loss (litres)

Acute normovolemic haemodilution

Acute normovolemic haemodilution plus hypotension

Acute normovolemic haemodilution plus low central venous pressure

Hypoventilation

Control

MD 0.00; 95% CrI −0.95 to 0.96

MD −0.25; 95% CrI −1.20 to 0.71

MD −0.10; 95% CrI −0.88 to 0.46

MD −0.01; 95% CrI −1.44 to 1.43

Acute normovolemic haemodilution

MD −0.25; 95% CrI −1.60 to 1.10

MD −0.11; 95% CrI −1.27 to 1.06

MD −0.01; 95% CrI −1.73 to 1.71

Acute normovolemic haemodilution plus hypotension

MD 0.14; 95% CrI −1.02 to 1.31

MD 0.24; 95% CrI −1.48 to 1.96

Acute normovolemic haemodilution plus low central venous pressure

MD 0.10; 95% CrI −1.49 to 1.68

Hypoventilation

aThe table provides the effect estimate of each pair‐wise comparison. To identify the effect estimate of a comparison (e.g. A versus B), look at the cell that occupies the column corresponding to treatment A and the row corresponding to treatment B. This gives the information directly. If that cell is empty (indicated by a '—', you have to look at column corresponding to treatment B and row corresponding to treatment A. You will have to take the inverse of this number (i.e. 1/number) to get the treatment effect.
bTreatment effects with evidence of difference are shown by italics (not applicable).

Figuras y tablas -
Table 9. Cardiopulmonary interventions: pair‐wise comparisonsa,b
Table 10. Parenchymal transection methods: pair‐wise comparisonsa,b

Adverse events (proportion)

Cavitron ultrasonic surgical aspirator

Hydrojet

Radiofrequency dissecting sealer

Sharp transection method

Clamp‐crush method

OR 2.15; 95% CrI 0.11 to 108.74

OR 0.57; 95% CrI 0.00 to 732.89

OR 1.20; 95% CrI 0.05 to 33.05

OR 1.11; 95% CrI 0.00 to 331.29

Cavitron ultrasonic surgical aspirator

OR 0.27; 95% CrI 0.00 to 501.34

OR 0.56; 95% CrI 0.01 to 62.38

OR 0.52; 95% CrI 0.00 to 398.54

Hydrojet

OR 2.12; 95% CrI 0.00 to 3638.36

OR 1.94; 95% CrI 0.00 to 12959.09

Radiofrequency dissecting sealer

OR 0.92; 95% CrI 0.00 to 638.06

Sharp transection method

Adverse events (number)

Cavitron ultrasonic surgical aspirator

Hydrojet

Radiofrequency dissecting sealer

Sharp transection method

Clamp‐crush method

rate ratio 1.60; 95% CrI 0.92 to 2.79

rate ratio 1.40; 95% CrI 0.49 to 3.63

rate ratio 1.84; 95% CrI 1.13 to 3.06

rate ratio 1.13; 95% CrI 0.57 to 2.24

Cavitron ultrasonic surgical aspirator

rate ratio 0.88; 95% CrI 0.28 to 2.75

rate ratio 1.15; 95% CrI 0.54 to 2.42

rate ratio 0.71; 95% CrI 0.29 to 1.71

Hydrojet

rate ratio 1.31; 95% CrI 0.43 to 4.01

rate ratio 0.81; 95% CrI 0.24 to 2.71

Radiofrequency dissecting sealer

rate ratio 0.62; 95% CrI 0.26 to 1.44

Sharp transection method

Blood transfusion (proportion)

Cavitron ultrasonic surgical aspirator

Hydrojet

Radiofrequency dissecting sealer

Sharp transection method

Clamp‐crush method

OR 1.48; 95% CrI 0.54 to 4.13

OR 1.73; 95% CrI 0.47 to 6.25

OR 1.09; 95% CrI 0.61 to 1.97

OR 0.80; 95% CrI 0.31 to 2.03

Cavitron ultrasonic surgical aspirator

OR 1.17; 95% CrI 0.23 to 6.05

OR 0.74; 95% CrI 0.23 to 2.39

OR 0.54; 95% CrI 0.14 to 2.15

Hydrojet

OR 0.63; 95% CrI 0.15 to 2.61

OR 0.46; 95% CrI 0.09 to 2.27

Radiofrequency dissecting sealer

OR 0.73; 95% CrI 0.24 to 2.21

aThe table provides the effect estimate of each pair‐wise comparison. To identify the effect estimate of a comparison (e.g. A versus B), look at the cell that occupies the column corresponding to treatment A and the row corresponding to treatment B. This gives the information directly. If that cell is empty (indicated by a '—', you have to look at column corresponding to treatment B and row corresponding to treatment A. You will have to take the inverse of this number (i.e. 1/number) to get the treatment effect.
bTreatment effects with evidence of difference are shown by italics (not applicable).

Figuras y tablas -
Table 10. Parenchymal transection methods: pair‐wise comparisonsa,b
Table 11. Vascular occlusion methods: pair‐wise comparisonsa,b

Serious adverse events (proportion)

ConHVE

ConPTC

ConSelectiveHVE

ConSelectivePTC

IntPTC

Control

OR 2.27; 95% CrI 0.18 to 33.05

OR 1.42; 95% CrI 0.28 to 7.09

OR 0.14; 95% CrI 0.00 to 4.37

OR 0.53; 95% CrI 0.10 to 2.65

OR 1.16; 95% CrI 0.54 to 2.51

ConHVE

OR 0.63; 95% CrI 0.03 to 13.31

OR 0.06; 95% CrI 0.00 to 15.06

OR 0.23; 95% CrI 0.01 to 5.02

OR 0.51; 95% CrI 0.03 to 7.68

ConPTC

OR 0.10; 95% CrI 0.00 to 16.28

OR 0.37; 95% CrI 0.04 to 3.70

OR 0.82; 95% CrI 0.14 to 4.86

ConSelectiveHVE

Not estimable

Not estimable

ConSelectivePTC

OR 2.19; 95% CrI 0.36 to 13.26

Adverse events (proportion)

ConHVE

ConPTC

ConSelectiveHVE

ConSelectivePTC

IntPTC

Control

OR 2.58; 95% CrI 0.81 to 8.30

OR 2.30; 95% CrI 1.00 to 5.41

OR 1.06; 95% CrI 0.31 to 3.58

OR 1.11; 95% CrI 0.45 to 2.75

OR 1.28; 95% CrI 0.83 to 1.97

ConHVE

OR 0.89; 95% CrI 0.21 to 3.75

OR 0.41; 95% CrI 0.08 to 2.22

OR 0.43; 95% CrI 0.10 to 1.88

OR 0.49; 95% CrI 0.14 to 1.71

ConPTC

OR 0.46; 95% CrI 0.10 to 2.04

OR 0.48; 95% CrI 0.14 to 1.67

OR 0.55; 95% CrI 0.21 to 1.43

ConSelectiveHVE

OR 1.05; 95% CrI 0.23 to 4.84

OR 1.21; 95% CrI 0.33 to 4.45

ConSelectivePTC

OR 1.15; 95% CrI 0.42 to 3.16

IntPTC

Blood transfusion (proportion)

ConHVE

ConPTC

ConSelectiveHVE

ConSelectivePTC

IntPTC

Control

OR 0.06; 95% CrI 0.00 to 4.33

OR 0.33; 95% CrI 0.02 to 3.59

OR 0.17; 95% CrI 0.00 to 12.59

OR 0.62; 95% CrI 0.02 to 15.18

OR 0.63; 95% CrI 0.10 to 3.59

ConHVE

Not estimable

Not estimable

Not estimable

Not estimable

ConPTC

OR 0.51; 95% CrI 0.00 to 83.52

Not estimable

OR 1.89; 95% CrI 0.09 to 41.17

ConSelectiveHVE

Not estimable

Not estimable

ConSelectivePTC

OR 1.01; 95% CrI 0.02 to 42.32

IntPTC

Blood transfusion (red blood cell)

ConHVE

ConPTC

ConSelectiveHVE

ConSelectivePTC

IntPTC

Control

MD −1.65; 95% CrI −3.96 to 0.67

MD −1.25; 95% CrI −2.39 to −0.10

MD −2.45; 95% CrI −4.08 to −0.82

MD −1.45; 95% CrI −2.59 to −0.31

MD −1.36; 95% CrI −2.48 to −0.23

ConHVE

MD 0.40; 95% CrI −2.18 to 2.98

MD −0.80; 95% CrI −3.64 to 2.03

MD 0.20; 95% CrI −2.39 to 2.78

MD 0.29; 95% CrI −2.29 to 2.86

ConPTC

MD −1.20; 95% CrI −3.20 to 0.79

MD −0.20; 95% CrI −1.82 to 1.42

MD −0.11; 95% CrI −1.72 to 1.50

ConSelectiveHVE

MD 1.00; 95% CrI −0.99 to 2.99

MD 1.09; 95% CrI −0.89 to 3.07

ConSelectivePTC

MD 0.09; 95% CrI −1.51 to 1.70

IntPTC

Blood loss

ConHVE

ConPTC

ConSelectiveHVE

ConSelectivePTC

IntPTC

Control

MD −0.37; 95% CrI −0.94 to 0.22

MD −0.14; 95% CrI −0.52 to 0.14

MD −0.39; 95% CrI −1.16 to 0.27

MD 0.00; 95% CrI −0.57 to 0.45

MD −0.06; 95% CrI −0.39 to 0.17

ConHVE

MD 0.23; 95% CrI −0.44 to 0.90

MD −0.02; 95% CrI −0.94 to 0.90

MD 0.37; 95% CrI −0.41 to 1.14

MD 0.31; 95% CrI −0.34 to 0.95

ConPTC

MD −0.25; 95% CrI −1.04 to 0.54

MD 0.14; 95% CrI −0.47 to 0.74

MD 0.08; 95% CrI −0.35 to 0.52

ConSelectiveHVE

MD 0.39; 95% CrI −0.49 to 1.26

MD 0.33; 95% CrI −0.44 to 1.10

ConSelectivePTC

MD −0.06; 95% CrI −0.64 to 0.52

IntPTC

Con: continuous; Int: intermittent; HVE: hepatic vascular exclusion; PTC: portal triad clamping.

aThe table provides the effect estimate of each pair‐wise comparison. To identify the effect estimate of a comparison (e.g. A versus B), look at the cell that occupies the column corresponding to treatment A and the row corresponding to treatment B. This gives the information directly. If that cell is empty (indicated by a ' —', you have to look at column corresponding to treatment B and row corresponding to treatment A. You will have to take the inverse of this number (i.e. 1/number) to get the treatment effect.
bTreatment effects with evidence of difference are shown by italics.

Figuras y tablas -
Table 11. Vascular occlusion methods: pair‐wise comparisonsa,b
Table 12. Intervention and control (ordered by category and comparisons)

Study

Intervention

Co‐interventions

Intervention

Control

Other information

Type of intervention

Vascular occlusion

Parenchymal transection method

Raw surface

Pharmacological methods

Cardiopulmonary methods

Autologous transfusion

Capussotti 2012

Anterior approach

Control

Anterior approach

Not stated

Clamp‐crush, bipolar dissecting sealer

Not stated

Not stated

Not stated

Not stated

Liu 2006

Anterior approach

Control

Anterior approach

Not stated

Cavitron ultrasonic surgical aspirator

Not stated

Not stated

Not stated

Not stated

Kajikawa 1994

Autologous blood donation

Control

Note: autologous blood donation group was further randomised to recombinant erythropoietin and no erythropoietin

Autologous transfusion

Not stated

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Kostopanagiotou 2007

Autologous blood donation

Control

Autologous blood donation: 2 units of blood were withdrawn before surgery

Autologous transfusion

Hepatic vascular exclusion

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Guo 2013

Acute normovolemic haemodilution plus low central venous pressure

Control

Acute normovolemic dilution plus low central venous pressure: blood withdrawn to a target of 28% haematocrit and replaced with fluid. Target for central venous pressure was not reported

Cardiopulmonary methods

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Jarnagin 2008

Acute normovolemic haemodilution plus low central venous pressure

Low central venous pressure

Acute normovolemic haemodilution: blood was withdrawn and replaced by colloids and crystalloids to reach a haematocrit target of 8 gm/dL.
Low central venous pressure was maintained < 5 H20 using fluid restriction and pharmacologic manipulation

Cardiopulmonary methods

Intermittent portal triad clamping

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Matot 2002

Acute normovolemic haemodilution plus low central venous pressure

Low central venous pressure

Acute normovolemic haemodilution: blood was withdrawn and replaced by colloids to reach a haematocrit target of 24%.
Low central venous pressure was achieved by fluid restriction

Cardiopulmonary methods

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Yao 2006

Acute normovolemic haemodilution

Acute normovolemic haemodilution with hypotension
3rd group: control

Acute normovolemic haemodilution: withdrawal of blood and replacement with fluids to maintain a target haematocrit of 30%.
Acute normovolemic haemodilution with controlled hypotension: in addition to acute normovolemic haemodilution, sodium nitroprusside was used. Target blood pressure not known.

Cardiopulmonary methods

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Hasegawa 2002

Hypoventilation

Control

Cardiopulmonary methods

Intermittent portal triad clamping or selective occlusion

Clamp crush or cavitron ultrasonic surgical aspirator

Not stated

Not stated

Factor being randomised

None

Choi 2007

Low central venous pressure

Control

Low central venous pressure: by restricting flow from legs

Cardiopulmonary methods

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Not stated

El‐Kharboutly 2004

Low central venous pressure

Control

Low central venous pressure: nitroglycerine

Cardiopulmonary intervention

Intermittent portal triad clamping

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Kato 2008

Low central venous pressure

Control

Low central venous pressure: by inferior IVC clamping

Cardiopulmonary methods

Intermittent portal triad clamping

Cavitron ultrasonic surgical aspirator

Fibrin glue used

Not stated

Factor being randomised

Not stated

Wang 2006

Low central venous pressure

Control

Low central venous pressure: by limiting fluid, nitroglycerine, and furosemide

Cardiopulmonary methods

Varied

Clamp‐crush

Not stated

Not stated

Factor being randomised

Not stated

Guo 2014

Low central venous pressure

Low central venous pressure + acute normovolemic haemodilution.
3rd group: control

Low central venous pressure: fluid restriction and nitroglycerine.
Acute normovolemic haemodilution plus low central venous pressure: withdrawal of blood to a target haematocrit of 30% and replacement with colloids

Cardiopulmonary methods

Not stated

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Rahbari 2014

Stapler

Clamp‐crush method

Stapler: Autosuture EndoGIA stapler (Covidien)

Parenchumal transection

Variable

Factor being randomised

Variable

Not stated

Low central venous pressure

Not stated

Koo 2005

Cavitron ultrasonic surgical aspirator

Clamp‐crush method

Parenchymal transection

No vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Takayama 2001

Cavitron ultrasonic surgical aspirator

Clamp‐crush method

Parenchymal transection

Intermittent total or selective portal triad clamping

Factor being randomised

Fibrin glue used

Not stated

Not stated

Not stated

Doklestic 2012

Cavitron ultrasonic surgical aspirator

Clamp‐crush method
3rd group: radiofrequency dissecting sealer

Ultrasonic dissector: cavitron ultrasonic surgical aspirator.
Radiofrequency dissecting sealer: Ligasure

Parenchymal transection

Intermittent portal triad clamping

Factor being randomised

Not stated

Not stated

Low central venous pressure

Not stated

Rau 2001

Cavitron ultrasonic surgical aspirator

Hydrojet

Hydrojet: Jet Cutter

Parenchymal transection

Portal triad clamping

Factor being randomised

Variable

Not stated

Not stated

Not stated

Savlid 2013

Cavitron ultrasonic surgical aspirator

Stapler

Stapler: Endostapler (Covidien)

Parenchymal transection

Variable

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Lesurtel 2005

Cavitron ultrasonic surgical aspirator

Radiofrequency dissecting sealer.
3rd group: hydrojet

Radiofrequency dissecting sealer: Tissue Link
Hydrojet: Helix Hydro‐Jet
A 4th group with clamp‐crush and vascular occlusion was excluded since there was difference in the co‐intervention between the groups

Parenchymal transection

No vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Ikeda 2009

Radiofrequency dissecting sealer

Clamp‐crush method

Radiofrequency dissecting sealer: Ligasure

Parenchymal transection

Intermittent portal triad clamping or hemihepatic occlusion

Factor being randomised

Not stated

Not stated

Not stated

No

Lupo 2007

Radiofrequency dissecting sealer

Clamp‐crush method

Radiofrequency dissecting sealer: Radionics needles

Parenchymal transection

No vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Muratore 2014

Radiofrequency dissecting sealer

Clamp‐crush method

Radiofrequency dissecting sealer: Ligasure (Covidien)

Parenchymal transection

Not stated

Factor being randomised

No fibrin glue used

Not stated

Low central venous pressure

Not stated

Arita 2005

Radio‐frequency dissecting sealer

Clamp‐crush method

Radio‐frequency dissecting sealer: Tissue Link (Valley Lab)

Parenchymal transection

Variable

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Smyrniotis 2005

Sharp transection

Clamp‐crush method

Sharp transection: using scalpel

Parenchymal transection

Selective hepatic vascular exclusion

Factor being randomised

Not stated

Not stated

Low central venous pressure

Not stated

Shimada 1994

Anti‐thrombin III concentrate

Control

Anti‐thrombin concentrate: 1500 IU IV over 30 min: immediately before the operation, just before hepatic division, and immediately after operation

Pharmacological methods

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Lentschener 1997

Aprotinin

Control

Aprotinin:
Loading dose: 2 X 106 kIU of aprotinin over a 20 min period after induction of anaesthesia.
Continuous infusion: 5 x 105 kIU per hour administered by an infusion pump until skin closure
Additional bolus: 5 X 105 KIU of aprotinin was infused every three transfused red b10od cell (red blood cell) packs
Control: placebo

Pharmacological methods

Intermittent portal triad clamping

Kelly clamp

Fibrin glue used

Factor being randomised

None

Not stated

Wong 2003

Desmopressin

Control

Desmopressin: 30 mcg/kg shortly after induction
Control: placebo

Pharmacological methods

Varied

Cavitron ultrasonic surgical aspirator

Not stated

Factor being randomised

Not stated

Not stated

Lodge 2005

Recombinant factor VIIa

Control

Recombinant factor VIIa:
1st dose: slow intravenous injection (20 mcg/kg or 80 mcg/kg) within 5 min before incision. 2nd dose: identical dose was given 5 h after incision if the surgery time was anticipated to exceed 6 hours
Control: placebo

Pharmacological methods

Mixture of methods

Not stated

No fibrin glue used

Factor being randomised

Not stated

No

Shao 2006

Recombinant factor VIIa

Control

Recombinant factor VIIa: brand not stated
Dose: 50 or 100 mcg/kg before skin incision over 2 minutes and repeated every 2 hours until a maximum of 4 doses
Control: placebo

Pharmacological methods

Not stated

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Wu 2006

Tranexamic acid

Control

Tranexamic acid: 500 mg just before the surgery followed by 250 mg 4x/day for 3 days

Pharmacological methods

Varied

Clamp‐crush method

Not stated

Factor being randomised

Not stated

Not stated

Chapman 2000

Collagen

Fibrin sealant

Collagen: Instat (Johnson & Johnson)
Fibrin sealant: Costasis (Cohesion Technologies) ‐ bovine thrombin and collagen combined with patient's own plasma

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Franceschi 2006

Collagen

Fibrin sealant

Collagen: Instat (Ethicon)
Fibrin sealant: CryoSeal FS

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Kohno 1992

Collagen

Fibrin sealant

Collagen: Avitene (Alcon Inc).
Fibrin sealant: Beriplast P (Beringwerke AB)

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Moench 2014

Collagen

Fibrin sealant

Collagen: Sangustop fleece (Aesculap AG).
Fibrin‐based haemostat: Tachosil (Nycomed)

Raw surface

Not stated

A number of parenchymal transection techniques

Factor being randomised

None

Not stated

Not stated

Fischer 2011

Fibrin sealant

Argon beam coagulator

Fibrin sealant: Tacchosil (Nycomed)

Raw surface

A mixture of approaches

A mixture of approaches

Factor being randomised

Not stated

Not stated

Not stated

Frilling 2005

Fibrin sealant

Argon beam coagulator

Fibrin sealant: Tacchosil

Raw surface

Not stated

A mixture of approaches

Factor being randomised

Not stated

Not stated

Not stated

Bektas 2014

Fibrin sealant

Control

Fibrin sealant: TISSEEL (Baxter Health Corporation) Spray; 5 mL of fibrinogen with synthetic aprotinin and 5 mL of thrombin (500 IU/mL)

Raw surface

Intermittent portal triad clamping

Different types of liver resection

Factor being randomised

Not stated

Not stated

Not stated

De Boer 2012

Fibrin sealant

Control

Fibrin sealant: Quixil (Johnson & Johnson Medical) spray; 5 mL of fibrinogen and tranexamic acid and 5 mL of thrombin

Raw surface

With and without inflow occlusion

Clamp‐crush, cavitron ultrasonic surgical aspirator, electric coagulation based, combined

Factor being randomised

Not stated

Not stated

Not stated

Liu 1993

Fibrin sealant

Control

Fibrin sealant: name not available

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Noun 1996

Fibrin sealant

Control

Fibrin sealant: Biocol

Raw surface

Varied

Clamp‐crush method or cavitron ultrasonic surgical aspirator

Factor being randomised

Not stated

Not stated

Not stated

Porte 2012

Fibrin sealant

Gelatin

Fibrin sealant: Fibrocaps (ProFibrix)

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Genyk 2014

Fibrin sealant

Oxidised cellulose

Fibrin sealant: Tacchosil
Oxidised cellulose: Surgicel

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Koea 2013

Fibrin sealant

Oxidised cellulose

Fibrin sealant: Fibrin Pad
Oxidised cellulose: no further details

Raw surface

Not stated

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Ollinger 2013

Fibrin sealant

Oxidised cellulose

Fibrin sealant: Tachosil (Nycomed)
Oxidised cellulose: Veriset (Covidien)

Raw surface

Varied

Not stated

Factor being randomised

Not stated

Not stated

Not stated

Kakaei 2013

Fibrin sealant

Oxidised cellulose
3rd group: cyanoacrylate

Oxidised cellulose: Surgicel (Ethicon Inc)
Cyanoacrylate: Glubran 2 (GEM SRL)
Fibrin sealant: Tachosil (Takeda Pharmaceuticals)

Raw surface

Not stated

Clamp‐crush method

Factor being randomised

Not stated

Not stated

Not stated

Gugenheim 2011

Fibrin sealant

PlasmaJet coagulator

Fibrin sealant: fibrin glue (no further details)

Raw surface

Not stated

Cavitron ultrasonic surgical aspirator

Factor being randomised

Not stated

Not stated

Not stated

Figueras 2007

Fibrin sealant plus collagen

Control

Fibrin sealant spray: Tissucol
Collagen: collagen sponge (Johnson & Johnson)
Note: In both groups, bleeding from raw surface was controlled using argon beam coagulator or Tissuelink

Raw surface

Intermittent portal triad or selective clamping

Cavitron ultrasonic surgical aspirator

Factor being randomised

Not stated

Not stated

Not stated

Belghiti 1996

Continuous portal triad clamping

Continuous hepatic vascular exclusion

Hepatic vascular exclusion by encircling the entire retrohepatic inferior vena cava

Vascular occlusion

Factor being randomised

Clamp‐crush or cavitron ultrasonic surgical aspirator

Fibrin glue used

Not stated

Not stated

Not stated

Chen 2006

Continuous portal triad clamping

Continuous hepatic vascular exclusion

Hepatic vascular exclusion by encircling the entire infrahepatic inferior vena cava

Vascular occlusion

Factor being randomised

Clamp‐crush method

Not stated

Not stated

Not stated

Not stated

Si‐Yuan 2014

Continuous portal triad clamping

Continuous selective hepatic vascular exclusion

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Low central venous pressure

Not stated

Ni 2013

Continuous portal triad clamping

Continuous selective portal triad clamping

Vascular occlusion

Factor being randomised

Clamp‐crush method

Not stated

Not stated

Low central venous pressure

Not stated

Chouker 2004

Continuous portal triad clamping

Control

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Clavien 1996

Continuous portal triad clamping

Control

Note: After every 1 hour of continuous portal triad clamping (or 30 minutes for cirrhotic patients), the clamp was released for 10 minutes before reclamping

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Dayangac 2010

Continuous portal triad clamping

Control

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Pietsch 2010

Continuous portal triad clamping

Control

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Belghiti 1999

Continuous portal triad clamping

Intermittent portal triad clamping

Continuous portal triad clamping: until end of transection
Intermittent portal triad clamping: 15 minutes on and 5 minutes off until hepatectomy

Vascular occlusion

Factor being randomised

Cavitron ultrasonic surgical aspirator

Not stated

Not stated

Low central venous pressure

Not stated

Capussotti 2003

Continuous portal triad clamping

Intermittent portal triad clamping

Intermittent portal triad clamping: 15 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Clamp‐crush

Fibrin glue used

Not stated

Not stated

Not stated

Liang 2009

Continuous selective portal triad clamping

Intermittent portal triad clamping

Intermittent portal triad clamping: 20 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Clamp crush

Not stated

None

Not stated

Not stated

Capussotti 2006

Intermittent portal triad clamping

Control

Intermittent portal triad clamping: 15 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Clamp‐crush or bipolar dissecting sealer

Not stated

Not stated

Low central venous pressure

Not stated

Lee 2012

Intermittent portal triad clamping

Control

Intermittent portal triad clamping: 15 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Cavitron ultrasonic surgical aspirator

Fibrin glue used

Not stated

Low central venous pressure

Not stated

Man 1997

Intermittent portal triad clamping

Control

Intermittent portal triad clamping: 20 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Cavitron ultrasonic surgical aspirator

Not stated

Not stated

Not stated

Not stated

Man 2003

Intermittent portal triad clamping

Control

Intermittent portal triad clamping: 20 minutes on and 5 minutes off (until resection is completed or a maximum of 6 cycles)

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Park 2012

Intermittent portal triad clamping

Control

Intermittent portal triad clamping: 15 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Figueras 2005

Intermittent portal triad clamping

Intermittent selective portal triad clamping

Intermittent clamping: 15 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Not stated

Not stated

Not stated

Not stated

Not stated

Wu 2002

Intermittent portal triad clamping

Intermittent selective portal triad clamping

Intermittent portal triad clamping: 15 minutes on and 5 minutes off
Intermittent selective portal triad clamping: 30 minutes on and 5 minutes off

Vascular occlusion

Factor being randomised

Clamp‐crush method

Not stated

Not stated

Not stated

Not stated

Figuras y tablas -
Table 12. Intervention and control (ordered by category and comparisons)
Table 13. Risk of bias (ordered by category and comparisons)

Study

Intervention

Control

Sequence generation

Allocation concealment

Blinding of participants and healthcare providers

Blinding of outcome assessors

Missing outcome bias

Selective reporting bias

Source of funding bias

Other bias

Overall risk of bias

Capussotti 2012

Anterior approach

Control

Low

Unclear

Unclear

Unclear

High

Low

Low

Low

Unclear or high

Liu 2006

Anterior approach

Control

Unclear

Unclear

High

High

High

High

Low

Low

Unclear or high

Kajikawa 1994

Autologous blood donation

Control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Kostopanagiotou 2007

Autologous blood donation

Control

Unclear

Unclear

Unclear

Unclear

High

High

Unclear

Low

Unclear or high

Guo 2013

Acute normovolemic haemodilution plus low central venous pressure

Control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Low

Low

Unclear or high

Jarnagin 2008

Acute normovolemic haemodilution plus low central venous pressure

Low central venous pressure

Unclear

Unclear

Unclear

Unclear

High

Low

Unclear

Low

Unclear or high

Matot 2002

Acute normovolemic haemodilution plus low central venous pressure

Low central venous pressure

Low

Unclear

High

Unclear

Low

High

Low

Low

Unclear or high

Yao 2006

Acute normovolemic haemodilution

Acute normovolemic haemodilution with hypotension
3rd group: control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Hasegawa 2002

Hypoventilation

Control

Low

Low

Low

High

Low

High

Low

Low

Unclear or high

Choi 2007

Low central venous pressure

Control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

El‐Kharboutly 2004

Low central venous pressure

Control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Kato 2008

Low central venous pressure

Control

Low

Low

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Wang 2006

Low central venous pressure

Control

Unclear

Unclear

Unclear

Unclear

High

High

Unclear

Low

Unclear or high

Guo 2014

Low central venous pressure

Low central venous pressure + acute normovolemic haemodilution.
3rd group: control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Low

Low

Unclear or high

Rahbari 2014

Stapler

Clamp‐crush method

Low

Low

High

Low

Low

Low

High

Low

Unclear or high

Koo 2005

Cavitron ultrasonic surgical aspirator

Clamp‐crush method

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Takayama 2001

Cavitron ultrasonic surgical aspirator

Clamp‐crush method

Unclear

Unclear

Unclear

Unclear

Low

Low

Unclear

Low

Unclear or high

Doklestic 2012

Cavitron ultrasonic surgical aspirator

Clamp‐crush method.
3rd group: radiofrequency dissecting sealer

Unclear

Unclear

Unclear

Unclear

Unclear

Low

Low

Low

Unclear or high

Rau 2001

Cavitron ultrasonic surgical aspirator

Hydrojet

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Savlid 2013

Cavitron ultrasonic surgical aspirator

Stapler

Low

Low

Unclear

Unclear

Low

Low

High

Low

Unclear or high

Lesurtel 2005

Cavitron ultrasonic surgical aspirator

Radiofrequency dissecting sealer.
3rd group: hydrojet

Unclear

Unclear

Unclear

Unclear

Low

Low

High

Low

Unclear or high

Ikeda 2009

Radiofrequency dissecting sealer

Clamp‐crush method

Low

Unclear

High

High

Low

Low

Low

Low

Unclear or high

Lupo 2007

Radiofrequency dissecting sealer

Clamp‐crush method

Low

Unclear

Unclear

Unclear

Low

High

Low

Low

Unclear or high

Muratore 2014

Radiofrequency dissecting sealer

Clamp‐crush method

Low

Low

Unclear

High

Low

Low

Low

Low

Unclear or high

Arita 2005

Radio‐frequency dissecting sealer

Clamp‐crush method

Low

Low

High

High

Low

Low

Low

Low

Unclear or high

Smyrniotis 2005

Sharp transection

Clamp‐crush method

Unclear

Unclear

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Shimada 1994

Anti‐thrombin III concentrate

Control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Lentschener 1997

Aprotinin

Control

Low

Unclear

Unclear

Low

High

High

High

Low

Unclear or high

Wong 2003

Desmopressin

Control

Unclear

Unclear

Low

Low

High

High

Low

Low

Unclear or high

Lodge 2005

Recombinant factor VIIa

Control

Low

Low

Low

Low

High

Low

High

Low

Unclear or high

Shao 2006

Recombinant factor VIIa

Control

Unclear

Unclear

Unclear

Unclear

High

High

High

Low

Unclear or high

Wu 2006

Tranexamic acid

Control

Unclear

Unclear

Low

Low

Low

High

Unclear

Low

Unclear or high

Chapman 2000

Collagen

Fibrin sealant

Low

Unclear

Unclear

Unclear

High

High

High

Low

Unclear or high

Franceschi 2006

Collagen

Fibrin sealant

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Kohno 1992

Collagen

Fibrin sealant

Unclear

Unclear

Unclear

Unclear

Low

Low

Unclear

Low

Unclear or high

Moench 2014

Collagen

Fibrin sealant

Low

Low

High

High

High

Low

High

Low

Unclear or high

Fischer 2011

Fibrin sealant

Argon beam coagulator

Unclear

Low

High

High

High

Low

High

Low

Unclear or high

Frilling 2005

Fibrin sealant

Argon beam coagulator

Unclear

Unclear

High

High

Low

Low

Unclear

Low

Unclear or high

Bektas 2014

Fibrin sealant

Control

Low

Low

High

High

Low

Low

High

Low

Unclear or high

De Boer 2012

Fibrin sealant

Control

Low

Low

High

High

Low

Low

High

Low

Unclear or high

Liu 1993

Fibrin sealant

Control

Unclear

Unclear

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Noun 1996

Fibrin sealant

Control

Unclear

Unclear

Unclear

Unclear

High

High

Unclear

Low

Unclear or high

Porte 2012

Fibrin sealant

Gelatin

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Genyk 2014

Fibrin sealant

Oxidised cellulose

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Koea 2013

Fibrin sealant

Oxidised cellulose

Low

Low

High

High

High

High

High

Low

Unclear or high

Ollinger 2013

Fibrin sealant

Oxidised cellulose

Unclear

Unclear

High

High

Low

Low

High

Low

Unclear or high

Kakaei 2013

Fibrin sealant

Oxidised cellulose
3rd group: cyanoacrylate

Low

Unclear

High

Unclear

Unclear

High

Low

Low

Unclear or high

Gugenheim 2011

Fibrin sealant

PlasmaJet coagulator

Unclear

Unclear

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Figueras 2007

Fibrin sealant plus collagen

Control

Low

Low

Unclear

Unclear

Low

Low

Low

Low

Unclear or high

Belghiti 1996

Continuous portal triad clamping

Continuous hepatic vascular exclusion

Unclear

Unclear

Unclear

Unclear

High

High

Unclear

Low

Unclear or high

Chen 2006

Continuous portal triad clamping

Continuous hepatic vascular exclusion

Unclear

Unclear

Unclear

Unclear

Unclear

Low

Low

Low

Unclear or high

Si‐Yuan 2014

Continuous portal triad clamping

Continuous selective hepatic vascular exclusion

Unclear

Low

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Ni 2013

Continuous portal triad clamping

Continuous selective portal triad clamping

Unclear

Low

Unclear

Unclear

Low

Low

Low

Low

Unclear or high

Chouker 2004

Continuous portal triad clamping

Control

Unclear

Unclear

High

Unclear

High

High

Unclear

Low

Unclear or high

Clavien 1996

Continuous portal triad clamping

Control

Unclear

Unclear

Unclear

Unclear

High

High

Low

Low

Unclear or high

Dayangac 2010

Continuous portal triad clamping

Control

Low

Low

High

Low

Low

High

Low

Low

Unclear or high

Pietsch 2010

Continuous portal triad clamping

Control

Unclear

Unclear

Unclear

Unclear

Unclear

High

Unclear

Low

Unclear or high

Belghiti 1999

Continuous portal triad clamping

Intermittent portal triad clamping

Unclear

Unclear

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Capussotti 2003

Continuous portal triad clamping

Intermittent portal triad clamping

Low

Unclear

Unclear

Unclear

Low

Low

Unclear

Low

Unclear or high

Liang 2009

Continuous selective portal triad clamping

Intermittent portal triad clamping

Unclear

Unclear

Unclear

Unclear

Low

Low

Low

Low

Unclear or high

Capussotti 2006

Intermittent portal triad clamping

Control

Low

Unclear

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Lee 2012

Intermittent portal triad clamping

Control

Low

Low

High

High

Low

Low

Low

Low

Unclear or high

Man 1997

Intermittent portal triad clamping

Control

Unclear

Unclear

Unclear

Unclear

Low

High

Low

Low

Unclear or high

Man 2003

Intermittent portal triad clamping

Control

Unclear

Unclear

Unclear

Unclear

Low

High

Unclear

Low

Unclear or high

Park 2012

Intermittent portal triad clamping

Control

Low

Low

Unclear

Unclear

High

High

Low

Low

Unclear or high

Figueras 2005

Intermittent portal triad clamping

Intermittent selective portal triad clamping

Unclear

Unclear

Unclear

Unclear

Low

High

Low

Low

Unclear or high

Wu 2002

Intermittent portal triad clamping

Intermittent selective portal triad clamping

Unclear

Unclear

Unclear

Unclear

Low

Low

Low

Low

Unclear or high

Figuras y tablas -
Table 13. Risk of bias (ordered by category and comparisons)
Comparison 1. Anterior approach vs conventional approach

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality (perioperative) Show forest plot

2

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 Anterior approach vs conventional approach

2

185

Odds Ratio (M‐H, Fixed, 95% CI)

0.27 [0.05, 1.32]

2 Serious adverse events (proportion) Show forest plot

1

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

2.1 Anterior approach vs conventional approach

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

3 Adverse events (proportion) Show forest plot

2

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

3.1 Anterior approach vs conventional approach

2

185

Odds Ratio (M‐H, Fixed, 95% CI)

0.89 [0.48, 1.64]

4 Adverse events (number) Show forest plot

1

Rate Ratio (Fixed, 95% CI)

Totals not selected

4.1 Anterior approach vs conventional approach

1

Rate Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

5 Blood transfusion (proportion) Show forest plot

2

Odds Ratio (M‐H, Random, 95% CI)

Subtotals only

5.1 Anterior approach vs conventional approach

2

185

Odds Ratio (M‐H, Random, 95% CI)

0.60 [0.05, 6.74]

6 Major blood loss (proportion) Show forest plot

2

Odds Ratio (M‐H, Random, 95% CI)

Subtotals only

6.1 Anterior approach vs conventional approach

2

185

Odds Ratio (M‐H, Random, 95% CI)

0.56 [0.09, 3.41]

Figuras y tablas -
Comparison 1. Anterior approach vs conventional approach
Comparison 2. Autologous blood donation vs control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Adverse events (proportion) Show forest plot

1

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

1.1 Autologous blood donation vs control

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

2 Blood transfusion (proportion) Show forest plot

1

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

2.1 Autologous blood donation vs control

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

3 Blood transfusion (red blood cell) Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

3.1 Autologous blood donation vs control

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

4 Blood loss Show forest plot

2

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

4.1 Autologous blood donation vs control

2

70

Mean Difference (IV, Fixed, 95% CI)

‐0.02 [‐0.37, 0.34]

5 Major blood loss (proportion) Show forest plot

1

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

5.1 Autologous blood donation vs control

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

6 Total hospital stay Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

6.1 Autologous blood donation vs control

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

7 Operating time Show forest plot

2

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

7.1 Autologous blood donation vs control

2

70

Mean Difference (IV, Fixed, 95% CI)

‐3.79 [‐34.28, 26.70]

Figuras y tablas -
Comparison 2. Autologous blood donation vs control
Comparison 3. Cardiopulmonary interventions

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality (perioperative) Show forest plot

4

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 Hypoventilation vs control

1

79

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.2 Low central venous pressure vs control

1

85

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.3 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

2

208

Odds Ratio (M‐H, Fixed, 95% CI)

2.91 [0.29, 28.70]

2 Serious adverse events (proportion) Show forest plot

2

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

2.1 Hypoventilation vs control

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

2.2 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

3 Serious adverse events (number) Show forest plot

2

Rate Ratio (Fixed, 95% CI)

Totals not selected

3.1 Low central venous pressure vs control

1

Rate Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

3.2 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

1

Rate Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

4 Adverse events (proportion) Show forest plot

4

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

4.1 Hypoventilation vs control

1

79

Odds Ratio (M‐H, Fixed, 95% CI)

1.33 [0.53, 3.34]

4.2 Low central venous pressure vs control

1

50

Odds Ratio (M‐H, Fixed, 95% CI)

0.79 [0.21, 3.03]

4.3 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

2

208

Odds Ratio (M‐H, Fixed, 95% CI)

0.68 [0.37, 1.23]

5 Adverse events (number) Show forest plot

2

Rate Ratio (Fixed, 95% CI)

Totals not selected

5.1 Low central venous pressure vs control

1

Rate Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

5.2 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

1

Rate Ratio (Fixed, 95% CI)

0.0 [0.0, 0.0]

6 Blood transfusion (proportion) Show forest plot

6

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

6.1 Hypoventilation vs control

1

79

Odds Ratio (M‐H, Fixed, 95% CI)

0.71 [0.15, 3.40]

6.2 Low central venous pressure vs control

3

175

Odds Ratio (M‐H, Fixed, 95% CI)

0.49 [0.21, 1.13]

6.3 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

2

208

Odds Ratio (M‐H, Fixed, 95% CI)

3.09 [1.49, 6.42]

7 Blood transfusion (red blood cell) Show forest plot

6

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

7.1 Acute normovolemic haemodilution vs control

1

20

Mean Difference (IV, Fixed, 95% CI)

‐1.25 [‐1.74, ‐0.75]

7.2 Acute normovolemic haemodilution plus hypotension vs control

1

20

Mean Difference (IV, Fixed, 95% CI)

‐1.66 [‐2.05, ‐1.28]

7.3 Acute normovolemic haemodilution plus low central venous pressure vs control

1

30

Mean Difference (IV, Fixed, 95% CI)

0.27 [0.02, 0.51]

7.4 Low central venous pressure vs control

2

90

Mean Difference (IV, Fixed, 95% CI)

‐1.60 [‐2.26, ‐0.93]

7.5 Acute normovolemic haemodilution plus hypotension vs acute normovolemic haemodilution

1

20

Mean Difference (IV, Fixed, 95% CI)

‐0.42 [‐0.74, ‐0.10]

7.6 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

2

208

Mean Difference (IV, Fixed, 95% CI)

0.16 [‐0.63, 0.95]

8 Blood transfusion (fresh frozen plasma) Show forest plot

2

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

8.1 Low central venous pressure vs control

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

8.2 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

9 Blood transfusion (cryoprecipitate) Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

9.1 Hypoventilation vs control

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

10 Blood loss Show forest plot

9

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

10.1 Acute normovolemic haemodilution vs control

1

20

Mean Difference (IV, Fixed, 95% CI)

0.00 [‐0.10, 0.11]

10.2 Acute normovolemic haemodilution plus hypotension vs control

1

20

Mean Difference (IV, Fixed, 95% CI)

‐0.25 [‐0.36, ‐0.14]

10.3 Acute normovolemic haemodilution plus low central venous pressure vs control

1

30

Mean Difference (IV, Fixed, 95% CI)

0.02 [‐0.03, 0.08]

10.4 Hypoventilation vs control

1

79

Mean Difference (IV, Fixed, 95% CI)

0.0 [‐1.12, 1.12]

10.5 Low central venous pressure vs control

4

237

Mean Difference (IV, Fixed, 95% CI)

‐0.34 [‐0.47, ‐0.22]

10.6 Acute normovolemic haemodilution plus hypotension vs acute normovolemic haemodilution

1

20

Mean Difference (IV, Fixed, 95% CI)

‐0.25 [‐0.39, ‐0.11]

10.7 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

2

208

Mean Difference (IV, Fixed, 95% CI)

‐0.09 [‐0.32, 0.15]

11 Major blood loss (proportion) Show forest plot

1

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

11.1 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

12 Hospital stay Show forest plot

5

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

12.1 Hypoventilation vs control

1

79

Mean Difference (IV, Fixed, 95% CI)

0.0 [‐3.79, 3.79]

12.2 Low central venous pressure vs control

3

197

Mean Difference (IV, Fixed, 95% CI)

‐2.43 [‐3.93, ‐0.94]

12.3 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

1

130

Mean Difference (IV, Fixed, 95% CI)

0.0 [‐2.96, 2.96]

13 Operating time Show forest plot

7

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

13.1 Acute normovolemic haemodilution plus low central venous pressure vs control

1

40

Mean Difference (IV, Fixed, 95% CI)

‐17.0 [‐42.78, 8.78]

13.2 Hypoventilation vs control

1

79

Mean Difference (IV, Fixed, 95% CI)

0.0 [‐88.21, 88.21]

13.3 Low central venous pressure vs control

4

192

Mean Difference (IV, Fixed, 95% CI)

‐17.41 [‐31.14, ‐3.67]

13.4 Low central venous pressure vs acute normovolemic haemodilution plus low central venous pressure

3

248

Mean Difference (IV, Fixed, 95% CI)

13.63 [‐4.11, 31.38]

Figuras y tablas -
Comparison 3. Cardiopulmonary interventions
Comparison 4. Methods of parenchymal transection

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality (perioperative) Show forest plot

11

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

2

172

Odds Ratio (M‐H, Fixed, 95% CI)

0.18 [0.01, 4.01]

1.2 Radiofrequency dissecting sealer vs clamp‐crush method

5

390

Odds Ratio (M‐H, Fixed, 95% CI)

1.85 [0.38, 8.97]

1.3 Sharp transection method vs clamp‐crush method

1

82

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.4 Stapler vs clamp‐crush method

1

130

Odds Ratio (M‐H, Fixed, 95% CI)

2.07 [0.36, 11.69]

1.5 Hydrojet vs cavitron ultrasonic surgical aspirator

2

111

Odds Ratio (M‐H, Fixed, 95% CI)

0.99 [0.19, 5.17]

1.6 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

2

90

Odds Ratio (M‐H, Fixed, 95% CI)

0.66 [0.11, 4.05]

1.7 Stapler vs cavitron ultrasonic surgical aspirator

1

100

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.8 Radiofrequency dissecting sealer vs hydrojet

1

50

Odds Ratio (M‐H, Fixed, 95% CI)

0.18 [0.01, 4.04]

2 Serious adverse events (proportion) Show forest plot

7

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

2.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

2

172

Odds Ratio (M‐H, Fixed, 95% CI)

0.35 [0.09, 1.35]

2.2 Radiofrequency dissecting sealer vs clamp‐crush method

3

240

Odds Ratio (M‐H, Fixed, 95% CI)

0.85 [0.27, 2.63]

2.3 Sharp transection method vs clamp‐crush method

1

82

Odds Ratio (M‐H, Fixed, 95% CI)

2.11 [0.36, 12.20]

2.4 Stapler vs clamp‐crush method

1

130

Odds Ratio (M‐H, Fixed, 95% CI)

1.26 [0.58, 2.75]

2.5 Hydrojet vs cavitron ultrasonic surgical aspirator

1

61

Odds Ratio (M‐H, Fixed, 95% CI)

0.62 [0.10, 4.00]

2.6 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

1

40

Odds Ratio (M‐H, Fixed, 95% CI)

1.0 [0.06, 17.18]

3 Serious adverse events (number) Show forest plot

5

Rate Ratio (Fixed, 95% CI)

Subtotals only

3.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

1

132

Rate Ratio (Fixed, 95% CI)

0.67 [0.11, 3.99]

3.2 Radiofrequency dissecting sealer vs clamp‐crush method

2

130

Rate Ratio (Fixed, 95% CI)

3.34 [1.08, 10.31]

3.3 Hydrojet vs cavitron ultrasonic surgical aspirator

1

50

Rate Ratio (Fixed, 95% CI)

1.50 [0.25, 8.98]

3.4 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

1

50

Rate Ratio (Fixed, 95% CI)

1.50 [0.25, 8.98]

3.5 Stapler vs cavitron ultrasonic surgical aspirator

1

100

Rate Ratio (Fixed, 95% CI)

1.33 [0.56, 3.16]

3.6 Radiofrequency dissecting sealer vs hydrojet

1

50

Rate Ratio (Fixed, 95% CI)

1.0 [0.20, 4.95]

4 Adverse events (proportion) Show forest plot

8

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

4.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

3

222

Odds Ratio (M‐H, Fixed, 95% CI)

1.30 [0.73, 2.34]

4.2 Radiofrequency dissecting sealer vs clamp‐crush method

3

220

Odds Ratio (M‐H, Fixed, 95% CI)

0.92 [0.51, 1.64]

4.3 Sharp transection method vs clamp‐crush method

1

82

Odds Ratio (M‐H, Fixed, 95% CI)

1.11 [0.46, 2.68]

4.4 Stapler vs clamp‐crush method

1

130

Odds Ratio (M‐H, Fixed, 95% CI)

1.06 [0.53, 2.12]

4.5 Hydrojet vs cavitron ultrasonic surgical aspirator

1

61

Odds Ratio (M‐H, Fixed, 95% CI)

0.29 [0.07, 1.24]

4.6 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

1

40

Odds Ratio (M‐H, Fixed, 95% CI)

1.86 [0.52, 6.61]

5 Adverse events (number) Show forest plot

7

Rate Ratio (Fixed, 95% CI)

Subtotals only

5.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

1

132

Rate Ratio (Fixed, 95% CI)

1.56 [0.83, 2.93]

5.2 Radiofrequency dissecting sealer vs clamp‐crush method

3

250

Rate Ratio (Fixed, 95% CI)

1.67 [0.95, 2.94]

5.3 Sharp transection method vs clamp‐crush method

1

82

Rate Ratio (Fixed, 95% CI)

1.12 [0.57, 2.21]

5.4 Hydrojet vs cavitron ultrasonic surgical aspirator

1

50

Rate Ratio (Fixed, 95% CI)

0.88 [0.32, 2.41]

5.5 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

1

50

Rate Ratio (Fixed, 95% CI)

1.12 [0.43, 2.92]

5.6 Stapler vs cavitron ultrasonic surgical aspirator

1

100

Rate Ratio (Fixed, 95% CI)

1.16 [0.63, 2.14]

5.7 Radiofrequency dissecting sealer vs hydrojet

1

50

Rate Ratio (Fixed, 95% CI)

1.29 [0.48, 3.45]

6 Blood transfusion (proportion) Show forest plot

8

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

6.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

2

172

Odds Ratio (M‐H, Fixed, 95% CI)

1.37 [0.29, 6.59]

6.2 Radiofrequency dissecting sealer vs clamp‐crush method

5

390

Odds Ratio (M‐H, Fixed, 95% CI)

1.13 [0.63, 2.03]

6.3 Sharp transection method vs clamp‐crush method

1

82

Odds Ratio (M‐H, Fixed, 95% CI)

0.80 [0.32, 2.01]

6.4 Hydrojet vs cavitron ultrasonic surgical aspirator

1

50

Odds Ratio (M‐H, Fixed, 95% CI)

1.0 [0.30, 3.28]

6.5 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

2

90

Odds Ratio (M‐H, Fixed, 95% CI)

0.77 [0.29, 2.09]

6.6 Radiofrequency dissecting sealer vs hydrojet

1

50

Odds Ratio (M‐H, Fixed, 95% CI)

0.53 [0.15, 1.93]

7 Blood transfusion (red blood cell) Show forest plot

4

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

7.1 Sharp transection method vs clamp‐crush method

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

7.2 Stapler vs clamp‐crush method

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

7.3 Hydrojet vs cavitron ultrasonic surgical aspirator

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

7.4 Stapler vs cavitron ultrasonic surgical aspirator

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

8 Blood transfusion (fresh frozen plasma) Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

8.1 Stapler vs clamp‐crush method

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

9 Blood loss Show forest plot

2

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

9.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

9.2 Hydrojet vs cavitron ultrasonic surgical aspirator

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

10 Operating time Show forest plot

6

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

10.1 Cavitron ultrasonic surgical aspirator vs clamp‐crush method

2

90

Mean Difference (IV, Fixed, 95% CI)

27.47 [‐2.87, 57.81]

10.2 Radiofrequency dissecting sealer vs clamp‐crush method

2

90

Mean Difference (IV, Fixed, 95% CI)

16.11 [‐11.45, 43.67]

10.3 Sharp transection method vs clamp‐crush method

1

82

Mean Difference (IV, Fixed, 95% CI)

‐6.0 [‐90.85, 78.85]

10.4 Stapler vs clamp‐crush method

1

130

Mean Difference (IV, Fixed, 95% CI)

‐31.0 [‐60.40, ‐1.60]

10.5 Radiofrequency dissecting sealer vs cavitron ultrasonic surgical aspirator

1

40

Mean Difference (IV, Fixed, 95% CI)

25.0 [‐96.48, 146.48]

10.6 Stapler vs cavitron ultrasonic surgical aspirator

1

100

Mean Difference (IV, Fixed, 95% CI)

‐26.0 [‐87.12, 35.12]

Figuras y tablas -
Comparison 4. Methods of parenchymal transection
Comparison 5. Methods of dealing with cut surface

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality (perioperative) Show forest plot

10

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 Fibrin sealant vs control

2

380

Odds Ratio (M‐H, Fixed, 95% CI)

3.56 [0.73, 17.35]

1.2 Fibrin sealant and collagen vs control

1

300

Odds Ratio (M‐H, Fixed, 95% CI)

3.08 [0.61, 15.53]

1.3 Fibrin sealant vs argon beam

2

227

Odds Ratio (M‐H, Fixed, 95% CI)

1.37 [0.46, 4.03]

1.4 Fibrin sealant vs collagen

3

256

Odds Ratio (M‐H, Fixed, 95% CI)

0.90 [0.24, 3.32]

1.5 Oxidised cellulose vs fibrin sealant

1

50

Odds Ratio (M‐H, Fixed, 95% CI)

0.55 [0.03, 9.33]

1.6 Plasmajet vs fibrin sealant

1

58

Odds Ratio (M‐H, Fixed, 95% CI)

0.64 [0.10, 4.16]

2 Serious adverse events (proportion) Show forest plot

7

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

2.1 Fibrin sealant vs control

3

457

Odds Ratio (M‐H, Fixed, 95% CI)

1.03 [0.64, 1.65]

2.2 Fibrin sealant vs argon beam

1

106

Odds Ratio (M‐H, Fixed, 95% CI)

0.62 [0.25, 1.55]

2.3 Fibrin sealant vs collagen

1

127

Odds Ratio (M‐H, Fixed, 95% CI)

1.57 [0.73, 3.38]

2.4 Oxidised cellulose vs fibrin sealant

1

50

Odds Ratio (M‐H, Fixed, 95% CI)

0.57 [0.17, 1.87]

2.5 Plasmajet vs fibrin sealant

1

58

Odds Ratio (M‐H, Fixed, 95% CI)

0.14 [0.02, 1.22]

3 Serious adverse events (number) Show forest plot

6

Rate Ratio (Fixed, 95% CI)

Subtotals only

3.1 Fibrin sealant vs control

1

70

Rate Ratio (Fixed, 95% CI)

0.94 [0.48, 1.86]

3.2 Fibrin sealant and collagen vs control

1

300

Rate Ratio (Fixed, 95% CI)

1.32 [0.76, 2.29]

3.3 Fibrin sealant vs argon beam

1

121

Rate Ratio (Fixed, 95% CI)

4.47 [1.50, 13.27]

3.4 Fibrin sealant vs collagen

2

189

Rate Ratio (Fixed, 95% CI)

1.22 [0.76, 1.98]

3.5 Fibrin sealant vs cyanoacrylate

1

30

Rate Ratio (Fixed, 95% CI)

1.0 [0.06, 15.99]

3.6 Oxidised cellulose vs cyanoacrylate

1

30

Rate Ratio (Fixed, 95% CI)

4.00 [0.45, 35.79]

3.7 Oxidised cellulose vs fibrin sealant

1

30

Rate Ratio (Fixed, 95% CI)

4.00 [0.45, 35.79]

4 Adverse events (proportion) Show forest plot

9

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

4.1 Fibrin sealant versus control

3

457

Odds Ratio (M‐H, Fixed, 95% CI)

0.80 [0.55, 1.17]

4.2 Fibrin sealant and collagen vs control

1

300

Odds Ratio (M‐H, Fixed, 95% CI)

1.0 [0.59, 1.71]

4.3 Fibrin sealant vs argon beam

2

227

Odds Ratio (M‐H, Fixed, 95% CI)

0.97 [0.58, 1.64]

4.4 Fibrin sealant vs collagen

1

127

Odds Ratio (M‐H, Fixed, 95% CI)

0.95 [0.46, 1.93]

4.5 Oxidised cellulose vs fibrin sealant

2

274

Odds Ratio (M‐H, Fixed, 95% CI)

0.77 [0.30, 2.01]

5 Adverse events (number) Show forest plot

5

Rate Ratio (Fixed, 95% CI)

Subtotals only

5.1 Fibrin sealant vs control

1

70

Rate Ratio (Fixed, 95% CI)

1.01 [0.75, 1.36]

5.2 Fibrin sealant vs argon beam

1

121

Rate Ratio (Fixed, 95% CI)

1.12 [0.75, 1.66]

5.3 Fibrin sealant vs collagen

2

189

Rate Ratio (Fixed, 95% CI)

1.13 [0.90, 1.42]

5.4 Fibrin sealant vs cyanoacrylate

1

30

Rate Ratio (Fixed, 95% CI)

1.50 [0.25, 8.98]

5.5 Oxidised cellulose vs cyanoacrylate

1

30

Rate Ratio (Fixed, 95% CI)

3.50 [0.73, 16.85]

5.6 Oxidised cellulose vs fibrin sealant

1

30

Rate Ratio (Fixed, 95% CI)

2.33 [0.60, 9.02]

6 Blood transfusion (proportion) Show forest plot

4

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

6.1 Fibrin sealant vs control

2

392

Odds Ratio (M‐H, Fixed, 95% CI)

1.04 [0.61, 1.76]

6.2 Fibrin sealant and collagen vs control

1

300

Odds Ratio (M‐H, Fixed, 95% CI)

1.52 [0.88, 2.61]

6.3 Fibrin sealant vs cyanoacrylate

1

30

Odds Ratio (M‐H, Fixed, 95% CI)

3.25 [0.52, 20.37]

6.4 Oxidised cellulose vs cyanoacrylate

1

30

Odds Ratio (M‐H, Fixed, 95% CI)

2.36 [0.36, 15.45]

6.5 Oxidised cellulose vs fibrin sealant

1

30

Odds Ratio (M‐H, Fixed, 95% CI)

0.73 [0.15, 3.49]

7 Blood transfusion (red blood cell) Show forest plot

5

Mean Difference (IV, Random, 95% CI)

Subtotals only

7.1 Fibrin sealant vs control

2

122

Mean Difference (IV, Random, 95% CI)

‐0.53 [‐1.00, ‐0.06]

7.2 Fibrin sealant and collagen vs control

1

300

Mean Difference (IV, Random, 95% CI)

‐0.01 [‐0.16, 0.14]

7.3 Fibrin sealant vs collagen

0

0

Mean Difference (IV, Random, 95% CI)

0.0 [0.0, 0.0]

7.4 Fibrin sealant vs cyanoacrylate

1

30

Mean Difference (IV, Random, 95% CI)

2.2 [1.59, 2.81]

7.5 Oxidised cellulose vs cyanoacrylate

1

30

Mean Difference (IV, Random, 95% CI)

‐0.27 [‐0.81, 0.27]

7.6 Oxidised cellulose vs fibrin sealant

2

80

Mean Difference (IV, Random, 95% CI)

‐1.76 [‐2.00, 0.47]

8 Blood transfusion (fresh frozen plasma) Show forest plot

2

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

8.1 Fibrin sealant vs cyanoacrylate

1

30

Mean Difference (IV, Fixed, 95% CI)

‐0.8 [‐1.01, ‐0.59]

8.2 Oxidised cellulose vs cyanoacrylate

1

30

Mean Difference (IV, Fixed, 95% CI)

‐0.27 [‐0.55, 0.01]

8.3 Oxidised cellulose vs fibrin sealant

2

80

Mean Difference (IV, Fixed, 95% CI)

0.53 [0.35, 0.71]

9 Blood loss Show forest plot

5

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

9.1 Fibrin sealant vs control

2

350

Mean Difference (IV, Fixed, 95% CI)

0.10 [‐0.13, 0.33]

9.2 Fibrin sealant and collagen vs control

1

300

Mean Difference (IV, Fixed, 95% CI)

0.06 [‐0.06, 0.19]

9.3 Fibrin sealant vs collagen

1

62

Mean Difference (IV, Fixed, 95% CI)

0.07 [‐0.54, 0.68]

9.4 Fibrin sealant vs cyanoacrylate

1

30

Mean Difference (IV, Fixed, 95% CI)

0.11 [‐0.20, 0.43]

9.5 Oxidised cellulose vs cyanoacrylate

1

30

Mean Difference (IV, Fixed, 95% CI)

‐0.08 [‐0.35, 0.19]

9.6 Oxidised cellulose vs fibrin sealant

1

30

Mean Difference (IV, Fixed, 95% CI)

‐0.19 [‐0.45, 0.06]

10 Total hospital stay Show forest plot

4

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

10.1 Fibrin sealant vs control

1

82

Mean Difference (IV, Fixed, 95% CI)

‐0.5 [‐2.45, 1.45]

10.2 Fibrin sealant and collagen vs control

1

300

Mean Difference (IV, Fixed, 95% CI)

0.70 [‐1.83, 3.23]

10.3 Fibrin sealant vs cyanoacrylate

1

30

Mean Difference (IV, Fixed, 95% CI)

‐1.34 [‐3.61, 0.93]

10.4 Oxidised cellulose vs cyanoacrylate

1

30

Mean Difference (IV, Fixed, 95% CI)

‐0.67 [‐3.12, 1.78]

10.5 Oxidised cellulose vs fibrin sealant

2

80

Mean Difference (IV, Fixed, 95% CI)

0.25 [‐1.84, 2.33]

11 ITU stay Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

11.1 Oxidised cellulose vs fibrin sealant

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

12 Operating time Show forest plot

5

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

12.1 Fibrin sealant vs control

2

122

Mean Difference (IV, Fixed, 95% CI)

‐14.55 [‐52.86, 23.76]

12.2 Fibrin sealant and collagen vs control

1

300

Mean Difference (IV, Fixed, 95% CI)

19.0 [2.09, 35.91]

12.3 Fibrin sealant vs collagen

1

62

Mean Difference (IV, Fixed, 95% CI)

‐4.0 [‐44.33, 36.33]

12.4 Oxidised cellulose vs fibrin sealant

1

50

Mean Difference (IV, Fixed, 95% CI)

5.40 [‐70.13, 80.93]

Figuras y tablas -
Comparison 5. Methods of dealing with cut surface
Comparison 6. Methods of vascular occlusion

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality (perioperative) Show forest plot

14

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 Continuous portal triad clamping vs control

1

15

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.2 Intermittent portal triad clamping vs control

4

392

Odds Ratio (M‐H, Fixed, 95% CI)

0.63 [0.16, 2.44]

1.3 Continuous portal triad clamping vs continuous hepatic vascular exclusion

2

170

Odds Ratio (M‐H, Fixed, 95% CI)

3.39 [0.34, 33.33]

1.4 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.5 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.6 Intermittent portal triad clamping vs continuous portal triad clamping

2

121

Odds Ratio (M‐H, Fixed, 95% CI)

0.19 [0.02, 1.64]

1.7 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

1.8 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Odds Ratio (M‐H, Fixed, 95% CI)

2.93 [0.12, 74.00]

2 Serious adverse events (proportion) Show forest plot

8

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

2.1 Intermittent portal triad clamping vs control

3

302

Odds Ratio (M‐H, Fixed, 95% CI)

1.16 [0.55, 2.44]

2.2 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

118

Odds Ratio (M‐H, Fixed, 95% CI)

0.68 [0.11, 4.22]

2.3 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Odds Ratio (M‐H, Fixed, 95% CI)

0.20 [0.01, 4.13]

2.4 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Odds Ratio (M‐H, Fixed, 95% CI)

0.43 [0.19, 0.98]

2.5 Intermittent portal triad clamping vs continuous portal triad clamping

1

35

Odds Ratio (M‐H, Fixed, 95% CI)

0.47 [0.07, 2.96]

2.6 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Odds Ratio (M‐H, Fixed, 95% CI)

4.33 [0.46, 40.61]

3 Serious adverse events (number) Show forest plot

5

Rate Ratio (Fixed, 95% CI)

Subtotals only

3.1 Intermittent portal triad clamping vs control

1

100

Rate Ratio (Fixed, 95% CI)

1.50 [0.42, 5.32]

3.2 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

52

Rate Ratio (Fixed, 95% CI)

0.23 [0.03, 2.00]

3.3 Intermittent portal triad clamping vs continuous portal triad clamping

1

86

Rate Ratio (Fixed, 95% CI)

0.12 [0.01, 0.95]

3.4 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Rate Ratio (Fixed, 95% CI)

1.26 [0.53, 2.99]

4 Adverse events (proportion) Show forest plot

12

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

4.1 Intermittent portal triad clamping vs control

4

392

Odds Ratio (M‐H, Fixed, 95% CI)

1.27 [0.83, 1.94]

4.2 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

118

Odds Ratio (M‐H, Fixed, 95% CI)

0.89 [0.41, 1.96]

4.3 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Odds Ratio (M‐H, Fixed, 95% CI)

0.47 [0.20, 1.13]

4.4 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Odds Ratio (M‐H, Fixed, 95% CI)

0.41 [0.19, 0.93]

4.5 Intermittent portal triad clamping vs continuous portal triad clamping

2

121

Odds Ratio (M‐H, Fixed, 95% CI)

0.67 [0.29, 1.56]

4.6 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Odds Ratio (M‐H, Fixed, 95% CI)

0.86 [0.29, 2.52]

4.7 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Odds Ratio (M‐H, Fixed, 95% CI)

0.86 [0.42, 1.75]

5 Adverse events (number) Show forest plot

6

Rate Ratio (Fixed, 95% CI)

Subtotals only

5.1 Intermittent portal triad clamping vs control

2

226

Rate Ratio (Fixed, 95% CI)

1.19 [0.80, 1.76]

5.2 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

52

Rate Ratio (Fixed, 95% CI)

0.61 [0.29, 1.32]

5.3 Intermittent portal triad clamping vs continuous portal triad clamping

1

86

Rate Ratio (Fixed, 95% CI)

0.64 [0.31, 1.32]

5.4 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Rate Ratio (Fixed, 95% CI)

1.17 [0.72, 1.91]

6 Blood transfusion (proportion) Show forest plot

13

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

6.1 Continuous portal triad clamping vs control

1

34

Odds Ratio (M‐H, Fixed, 95% CI)

0.08 [0.01, 0.80]

6.2 Intermittent portal triad clamping vs control

4

392

Odds Ratio (M‐H, Fixed, 95% CI)

0.82 [0.50, 1.35]

6.3 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

118

Odds Ratio (M‐H, Fixed, 95% CI)

5.66 [2.29, 14.00]

6.4 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Odds Ratio (M‐H, Fixed, 95% CI)

0.51 [0.24, 1.11]

6.5 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Odds Ratio (M‐H, Fixed, 95% CI)

1.56 [0.42, 5.82]

6.6 Intermittent portal triad clamping vs continuous portal triad clamping

2

121

Odds Ratio (M‐H, Fixed, 95% CI)

1.14 [0.52, 2.49]

6.7 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Odds Ratio (M‐H, Fixed, 95% CI)

0.90 [0.36, 2.23]

6.8 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Odds Ratio (M‐H, Fixed, 95% CI)

0.58 [0.25, 1.36]

7 Blood transfusion (red blood cell) Show forest plot

10

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

7.1 Continuous portal triad clamping vs control

1

15

Mean Difference (IV, Fixed, 95% CI)

‐0.60 [‐3.20, 2.00]

7.2 Intermittent portal triad clamping vs control

1

100

Mean Difference (IV, Fixed, 95% CI)

‐1.5 [‐2.75, ‐0.25]

7.3 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

52

Mean Difference (IV, Fixed, 95% CI)

0.40 [‐1.61, 2.41]

7.4 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Mean Difference (IV, Fixed, 95% CI)

‐1.20 [‐2.38, ‐0.02]

7.5 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Mean Difference (IV, Fixed, 95% CI)

‐0.20 [‐0.31, ‐0.09]

7.6 Intermittent portal triad clamping vs continuous portal triad clamping

2

121

Mean Difference (IV, Fixed, 95% CI)

‐0.13 [‐0.60, 0.34]

7.7 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Mean Difference (IV, Fixed, 95% CI)

0.11 [‐0.23, 0.46]

7.8 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Mean Difference (IV, Fixed, 95% CI)

‐0.07 [‐0.45, 0.32]

8 Blood loss Show forest plot

16

Mean Difference (IV, Random, 95% CI)

Subtotals only

8.1 Continuous portal triad clamping vs control

3

131

Mean Difference (IV, Random, 95% CI)

‐0.24 [‐0.76, 0.27]

8.2 Intermittent portal triad clamping vs control

4

402

Mean Difference (IV, Random, 95% CI)

‐0.02 [‐0.19, 0.15]

8.3 Continuous portal triad clamping vs continuous hepatic vascular exclusion

2

170

Mean Difference (IV, Random, 95% CI)

0.17 [‐0.35, 0.68]

8.4 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Mean Difference (IV, Random, 95% CI)

‐0.25 [‐0.49, ‐0.00]

8.5 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Mean Difference (IV, Random, 95% CI)

0.10 [‐0.19, 0.39]

8.6 Intermittent portal triad clamping vs continuous portal triad clamping

2

121

Mean Difference (IV, Random, 95% CI)

0.06 [‐0.20, 0.32]

8.7 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Mean Difference (IV, Random, 95% CI)

‐0.08 [‐0.20, 0.05]

8.8 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Mean Difference (IV, Random, 95% CI)

‐0.17 [‐0.74, 0.39]

9 Major blood loss (proportion) Show forest plot

3

Odds Ratio (M‐H, Fixed, 95% CI)

Totals not selected

9.1 Intermittent portal triad clamping vs control

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

9.2 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

9.3 Continuous selective portal triad clamping vs continuous portal triad clamping

1

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

10 Total hospital stay Show forest plot

10

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

10.1 Intermittent portal triad clamping vs control

4

402

Mean Difference (IV, Fixed, 95% CI)

0.32 [‐0.64, 1.28]

10.2 Continuous portal triad clamping vs continuous hepatic vascular exclusion

1

52

Mean Difference (IV, Fixed, 95% CI)

‐8.0 [‐13.05, ‐2.95]

10.3 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Mean Difference (IV, Fixed, 95% CI)

‐2.80 [‐4.13, ‐1.47]

10.4 Intermittent portal triad clamping vs continuous portal triad clamping

1

86

Mean Difference (IV, Fixed, 95% CI)

1.0 [‐2.82, 4.82]

10.5 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Mean Difference (IV, Fixed, 95% CI)

‐0.27 [‐1.60, 1.06]

10.6 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Mean Difference (IV, Fixed, 95% CI)

‐0.67 [‐2.40, 1.06]

11 ITU stay Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Totals not selected

11.1 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

Mean Difference (IV, Fixed, 95% CI)

0.0 [0.0, 0.0]

12 Operating time Show forest plot

12

Mean Difference (IV, Random, 95% CI)

Subtotals only

12.1 Continuous portal triad clamping vs control

2

40

Mean Difference (IV, Random, 95% CI)

‐45.87 [‐95.61, 3.87]

12.2 Intermittent portal triad clamping vs control

2

176

Mean Difference (IV, Random, 95% CI)

25.66 [‐31.57, 82.89]

12.3 Continuous portal triad clamping vs continuous hepatic vascular exclusion

2

170

Mean Difference (IV, Random, 95% CI)

‐29.32 [‐82.75, 24.10]

12.4 Continuous selective hepatic vascular exclusion vs continuous portal triad clamping

1

160

Mean Difference (IV, Random, 95% CI)

‐7.20 [‐63.42, 49.02]

12.5 Continuous selective portal triad clamping vs continuous portal triad clamping

1

120

Mean Difference (IV, Random, 95% CI)

20.0 [‐0.00, 40.00]

12.6 Intermittent portal triad clamping vs continuous portal triad clamping

1

35

Mean Difference (IV, Random, 95% CI)

13.40 [‐41.28, 68.08]

12.7 Intermittent portal triad clamping vs continuous selective portal triad clamping

1

80

Mean Difference (IV, Random, 95% CI)

‐32.17 [‐51.50, ‐12.84]

12.8 Intermittent selective portal triad clamping vs intermittent portal triad clamping

2

138

Mean Difference (IV, Random, 95% CI)

8.64 [‐10.16, 27.45]

Figuras y tablas -
Comparison 6. Methods of vascular occlusion
Comparison 7. Pharmacological interventions

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Mortality (perioperative) Show forest plot

2

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

1.1 Recombinant factor VIIa vs control

1

185

Odds Ratio (M‐H, Fixed, 95% CI)

0.61 [0.13, 2.83]

1.2 Tranexamic acid vs control

1

214

Odds Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

2 Serious adverse events (proportion) Show forest plot

3

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

2.1 Anti‐thrombin III vs control

1

24

Odds Ratio (M‐H, Fixed, 95% CI)

1.19 [0.20, 6.99]

2.2 Recombinant factor VIIa vs control

2

432

Odds Ratio (M‐H, Fixed, 95% CI)

1.10 [0.58, 2.09]

3 Serious adverse events (number) Show forest plot

3

Rate Ratio (Fixed, 95% CI)

Subtotals only

3.1 Recombinant factor VIIa vs control

2

432

Rate Ratio (Fixed, 95% CI)

1.46 [0.75, 2.84]

3.2 Tranexamic acid vs control

1

214

Rate Ratio (Fixed, 95% CI)

0.86 [0.31, 2.37]

4 Adverse events (proportion) Show forest plot

3

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

4.1 Anti‐thrombin III vs control

1

24

Odds Ratio (M‐H, Fixed, 95% CI)

0.53 [0.10, 2.84]

4.2 Recombinant factor VIIa vs control

1

232

Odds Ratio (M‐H, Fixed, 95% CI)

1.04 [0.34, 3.21]

4.3 Tranexamic acid vs control

1

214

Odds Ratio (M‐H, Fixed, 95% CI)

0.78 [0.36, 1.67]

5 Adverse events (number) Show forest plot

3

Rate Ratio (Fixed, 95% CI)

Subtotals only

5.1 Recombinant factor VIIa vs control

2

432

Rate Ratio (Fixed, 95% CI)

0.98 [0.87, 1.10]

5.2 Tranexamic acid vs control

1

214

Rate Ratio (Fixed, 95% CI)

0.78 [0.43, 1.42]

6 Blood transfusion (proportion) Show forest plot

5

Odds Ratio (M‐H, Fixed, 95% CI)

Subtotals only

6.1 Aprotinin vs control

1

97

Odds Ratio (M‐H, Fixed, 95% CI)

0.32 [0.12, 0.82]

6.2 Desmopressin vs control

1

60

Odds Ratio (M‐H, Fixed, 95% CI)

0.56 [0.12, 2.57]

6.3 Recombinant factor VIIa vs control

2

416

Odds Ratio (M‐H, Fixed, 95% CI)

0.94 [0.62, 1.43]

6.4 Tranexamic acid vs control

1

214

Odds Ratio (M‐H, Fixed, 95% CI)

0.02 [0.00, 0.40]

7 Blood transfusion (fresh frozen plasma) Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

7.1 Desmopressin vs control

1

60

Mean Difference (IV, Fixed, 95% CI)

‐0.60 [‐1.39, 0.19]

8 Blood loss Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

8.1 Aprotinin vs control

1

97

Mean Difference (IV, Fixed, 95% CI)

‐0.44 [‐0.87, 0.00]

9 Hospital stay Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

9.1 Tranexamic acid vs control

1

214

Mean Difference (IV, Fixed, 95% CI)

‐1.0 [‐3.06, 1.06]

10 Operating time Show forest plot

1

Mean Difference (IV, Fixed, 95% CI)

Subtotals only

10.1 Aprotinin vs control

1

97

Mean Difference (IV, Fixed, 95% CI)

‐1.0 [‐30.08, 28.08]

Figuras y tablas -
Comparison 7. Pharmacological interventions