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Cochrane Database of Systematic Reviews

Probiotics for the prevention of pediatric antibiotic‐associated diarrhea

Information

DOI:
https://doi.org/10.1002/14651858.CD004827.pub5Copy DOI
Database:
  1. Cochrane Database of Systematic Reviews
Version published:
  1. 30 April 2019see what's new
Type:
  1. Intervention
Stage:
  1. Review
Cochrane Editorial Group:
  1. Cochrane Gut Group

Copyright:
  1. Copyright © 2019 The Cochrane Collaboration. Published by John Wiley & Sons, Ltd.

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Authors

  • Qin Guo

    Department of Pediatrics, West China Second University Hospital, West China Women's and Children's Hospital, Chengdu, China

  • Joshua Z Goldenberg

    Helfgott Research Institute, National University of Natural Medicine, Portland, USA

  • Claire Humphrey

    Department of Pediatrics, Dalhousie University, Halifax, Canada

  • Regina El Dib

    Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, UNESP ‐ Univ Estadual Paulista, São José dos Campos, Brazil

  • Bradley C Johnston

    Correspondence to: Department of Community Health and Epidemiology, Dalhousie University, Halifax, Canada

    [email protected]

Contributions of authors

This version of the review:

Qin Guo: Screening, inclusion/exclusion, data extraction, quality assessment, data analysis, manuscript preparation, administrative and technical support.

Joshua Z. Goldenberg: Concept, screening, inclusion/exclusion, data extraction, quality assessment, data analysis, manuscript preparation, administrative and technical support.

Claire Humphrey: Data extraction, quality assessment, manuscript preparation.

Regina El Dib: Screening, data interpretation, manuscript preparation.

Bradley C. Johnston: Concept, developed review protocol, search strategy, screening, inclusion/exclusion, data extraction, quality assessment, data analysis, manuscript preparation, administrative and technical support.

Previous versions of the review: Please refer to the 2007, 2011 and 2015 versions of the Cochrane review for previous contributions (Johnston 2007; Johnston 2011; Goldenberg 2015).

Sources of support

Internal sources

  • No sources of support supplied

External sources

  • Hospital for Sick Kids Foundation, Toronto, Ontario, Canada.

Declarations of interest

Qin Guo: None known.

Joshua Z Goldenberg: None known.

Claire Humphrey: None known.

Regina El Dib: None known.

Bradley C Johnston: None known.

Acknowledgements

We would like to thank John K MacDonald (Cochrane IBD Review Group) for his excellent ongoing support and our colleagues (Guoguang Xiao) that verified our data extraction of the Chinese studies. We also wish to thank Leah Boulos at the Martime SPOR Support Unit for revising the search strategy and running the updated search.

Funding for the Cochrane IBD Group (May 1, 2017 ‐ April 30, 2022) has been provided by Crohn's and Colitis Canada (CCC).

Version history

Published

Title

Stage

Authors

Version

2019 Apr 30

Probiotics for the prevention of pediatric antibiotic‐associated diarrhea

Review

Qin Guo, Joshua Z Goldenberg, Claire Humphrey, Regina El Dib, Bradley C Johnston

https://doi.org/10.1002/14651858.CD004827.pub5

2015 Dec 22

Probiotics for the prevention of pediatric antibiotic‐associated diarrhea

Review

Joshua Z Goldenberg, Lyubov Lytvyn, Justin Steurich, Patricia Parkin, Sanjay Mahant, Bradley C Johnston

https://doi.org/10.1002/14651858.CD004827.pub4

2011 Nov 09

Probiotics for the prevention of pediatric antibiotic‐associated diarrhea

Review

Bradley C Johnston, Joshua Z Goldenberg, Per O Vandvik, Xin Sun, Gordon H Guyatt

https://doi.org/10.1002/14651858.CD004827.pub3

2007 Apr 18

Probiotics for the prevention of pediatric antibiotic‐associated diarrhea

Review

Brad C Johnston, Alison L Supina, Maria Ospina, Sunita Vohra

https://doi.org/10.1002/14651858.CD004827.pub2

2004 Apr 19

Probiotics for the prevention of pediatric antibiotic‐associated diarrhea

Protocol

Brad C. Johnston, Natasha Wiebe, Ellen Crumley, Alison L Supina, Sunita Vohra

https://doi.org/10.1002/14651858.CD004827

Differences between protocol and review

1. In our previous 2015 review, we abstracted data on mean stool frequency and mean stool consistency. Since there were very limited data available on these outcomes (i.e. only 4 studies reported stool frequency, none reported stool consistency independently) and given that this outcome overlaps with AAD (a more patient important outcome), we have removed these outcomes. In this update review, we have included microbiome characteristics as an outcome given the clinical communities interest in the impact of antibiotics and probiotics on the microbiome.

2. In our previous 2015 review, we assessed the effectiveness of probiotics for AAD prevention based on the definition of diarrhea using two subgroups: 1. strictness of definition, 2. definition of diarrhea. For 'strictness of diarrhea', we previously used two categories '> or = to moderate' versus '< moderate'. For this update, we have revised the wording to 'moderate' versus 'mild' AAD.

3. In our previous 2015 review, we referred to diagnosis, inpatient versus outpatient, single versus multiple species and industry sponsorship as post hoc subgroup analyses as these were generated based on peer‐review feedback. In this update review, we have considered each of these as a priori subgroups. We now have nine a priori subgroups in total.

4. Based on prospective observational data that provides the best estimate of the baseline risk of AAD in children, in this review we have added one new post‐hoc subgroup on age < 24 months versus > 24 months.

Notes

To assess risk of bias for blinding and to generate Figure 3, we collapsed both blinding domains (participants/personnel and outcome assessors). If both domains were low risk of bias, the risk of bias for blinding was low. If one domain was high and one low, we assumed risk of bias for blinding was high overall. If one domain was low and one unclear, we assumed risk of bias for blinding was low overall.

Keywords

MeSH

Medical Subject Headings Check Words

Adolescent; Child; Child, Preschool; Female; Humans; Infant; Infant, Newborn; Male;

PICOs

Population
Intervention
Comparison
Outcome

The PICO model is widely used and taught in evidence-based health care as a strategy for formulating questions and search strategies and for characterizing clinical studies or meta-analyses. PICO stands for four different potential components of a clinical question: Patient, Population or Problem; Intervention; Comparison; Outcome.

See more on using PICO in the Cochrane Handbook.

Study flow diagram.
Figures and Tables -
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.
Figures and Tables -
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.
Figures and Tables -
Figure 3

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

Funnel plot of comparison: 1 any specific probiotic versus control (placebo, active or no treatment), outcome: 1.6 Incidence of Diarrhea: Complete case ‐ fixed effects
Figures and Tables -
Figure 4

Funnel plot of comparison: 1 any specific probiotic versus control (placebo, active or no treatment), outcome: 1.6 Incidence of Diarrhea: Complete case ‐ fixed effects

Funnel plot of comparison: 1 Probiotics versus control, outcome: 1.1 Incidence of diarrhea: Complete case.
Figures and Tables -
Figure 5

Funnel plot of comparison: 1 Probiotics versus control, outcome: 1.1 Incidence of diarrhea: Complete case.

Forest plot of comparison: 1 Probiotics versus control, outcome: 1.1 Incidence of diarrhea: Complete case.
Figures and Tables -
Figure 6

Forest plot of comparison: 1 Probiotics versus control, outcome: 1.1 Incidence of diarrhea: Complete case.

Comparison 1 Probiotics versus control, Outcome 1 Incidence of diarrhea: Complete case.
Figures and Tables -
Analysis 1.1

Comparison 1 Probiotics versus control, Outcome 1 Incidence of diarrhea: Complete case.

Comparison 1 Probiotics versus control, Outcome 2 Incidence of diarrhea: Inpatient versus outpatient.
Figures and Tables -
Analysis 1.2

Comparison 1 Probiotics versus control, Outcome 2 Incidence of diarrhea: Inpatient versus outpatient.

Comparison 1 Probiotics versus control, Outcome 3 Incidence of diarrhea: Diagnosis.
Figures and Tables -
Analysis 1.3

Comparison 1 Probiotics versus control, Outcome 3 Incidence of diarrhea: Diagnosis.

Comparison 1 Probiotics versus control, Outcome 4 Incidence of diarrhea: Probiotic species.
Figures and Tables -
Analysis 1.4

Comparison 1 Probiotics versus control, Outcome 4 Incidence of diarrhea: Probiotic species.

Comparison 1 Probiotics versus control, Outcome 5 Incidence of diarrhea: Single strain versus multi strain.
Figures and Tables -
Analysis 1.5

Comparison 1 Probiotics versus control, Outcome 5 Incidence of diarrhea: Single strain versus multi strain.

Comparison 1 Probiotics versus control, Outcome 6 Incidence of diarrhea: Probiotic dose.
Figures and Tables -
Analysis 1.6

Comparison 1 Probiotics versus control, Outcome 6 Incidence of diarrhea: Probiotic dose.

Comparison 1 Probiotics versus control, Outcome 7 Incidence of diarrhea: Definition of diarrhea.
Figures and Tables -
Analysis 1.7

Comparison 1 Probiotics versus control, Outcome 7 Incidence of diarrhea: Definition of diarrhea.

Comparison 1 Probiotics versus control, Outcome 8 Incidence of diarrhea: Strictness of definition (mild vs moderate).
Figures and Tables -
Analysis 1.8

Comparison 1 Probiotics versus control, Outcome 8 Incidence of diarrhea: Strictness of definition (mild vs moderate).

Comparison 1 Probiotics versus control, Outcome 9 Incidence of diarrhea: Industry sponsorship.
Figures and Tables -
Analysis 1.9

Comparison 1 Probiotics versus control, Outcome 9 Incidence of diarrhea: Industry sponsorship.

Comparison 1 Probiotics versus control, Outcome 10 Incidence of diarrhea: Risk of bias.
Figures and Tables -
Analysis 1.10

Comparison 1 Probiotics versus control, Outcome 10 Incidence of diarrhea: Risk of bias.

Comparison 1 Probiotics versus control, Outcome 11 Incidence of diarrhea: age.
Figures and Tables -
Analysis 1.11

Comparison 1 Probiotics versus control, Outcome 11 Incidence of diarrhea: age.

Comparison 1 Probiotics versus control, Outcome 12 Incidence of diarrhea: Sensitivity analysis (complete case ‐ fixed effects).
Figures and Tables -
Analysis 1.12

Comparison 1 Probiotics versus control, Outcome 12 Incidence of diarrhea: Sensitivity analysis (complete case ‐ fixed effects).

Comparison 1 Probiotics versus control, Outcome 13 Incidence of diarrhea: Probiotic dose (extreme‐plausible analysis).
Figures and Tables -
Analysis 1.13

Comparison 1 Probiotics versus control, Outcome 13 Incidence of diarrhea: Probiotic dose (extreme‐plausible analysis).

Comparison 1 Probiotics versus control, Outcome 14 Incidence of diarrhea: Sensitivity analysis (missing outcome data ‐ extreme plausible analysis).
Figures and Tables -
Analysis 1.14

Comparison 1 Probiotics versus control, Outcome 14 Incidence of diarrhea: Sensitivity analysis (missing outcome data ‐ extreme plausible analysis).

Comparison 1 Probiotics versus control, Outcome 15 Adverse events: Complete case.
Figures and Tables -
Analysis 1.15

Comparison 1 Probiotics versus control, Outcome 15 Adverse events: Complete case.

Comparison 1 Probiotics versus control, Outcome 16 Adverse events: Same event rate assumptions analysis.
Figures and Tables -
Analysis 1.16

Comparison 1 Probiotics versus control, Outcome 16 Adverse events: Same event rate assumptions analysis.

Comparison 1 Probiotics versus control, Outcome 17 Adverse events: Risk of bias.
Figures and Tables -
Analysis 1.17

Comparison 1 Probiotics versus control, Outcome 17 Adverse events: Risk of bias.

Comparison 1 Probiotics versus control, Outcome 18 Mean duration of diarrhea: Complete case.
Figures and Tables -
Analysis 1.18

Comparison 1 Probiotics versus control, Outcome 18 Mean duration of diarrhea: Complete case.

Summary of findings for the main comparison. Probiotics as an adjunct to antibiotics for the prevention of antibiotic‐associated diarrhea in children

Probiotics as an adjunct to antibiotics for the prevention of antibiotic‐associated diarrhea in children

Patient or population: Children receiving antibiotic treatment between 4 and 28 days duration for a variety of infections

Settings: Inpatient and outpatient

Intervention: Probiotics treatment with either Bacillus spp., Bifidobacterium spp., Clostridium butyricum spp., Lactobacilli spp., Lactococcus spp., Leuconostoc cremoris spp., Saccharomyces spp., or Streptococcus spp., alone or in combination

Comparison: Control (placebo or non‐active control)

Outcomes

Anticipated absolute effects * (95% CI)

Relative effect
(95% CI)

No of Participants
(studies)

Quality of the evidence
(GRADE)

Comments

Baseline risk

Corresponding risk

Risk in Control

Risk with Probiotics

Risk Difference

Incidence of AAD
Follow‐up: 5 days to 12 weeks

190 per 10001

86 per 1000
(68 to 106)

104 fewer AAD cases per 1000
(84 fewer to 122 fewer)

RR 0.45 (0.36 to 0.56)

6352
(33 studies)

⊕⊕⊕⊝
Moderate2.3.4

Incidence of AAD: Probiotic dose (5 billion CFUs of probiotics/day)

Follow‐up: 5 days to 12 weeks

190 per 10001

70 per 1000
(57 to 87)

120 fewer AAD cases per 1000
(103 fewer to 133 fewer)

RR 0.37 (0.30 to 0.46)

4038
(20 studies)

⊕⊕⊕⊝
Moderate5.6

Based on our a priori subgroup analyses, high‐dose probiotics (≥5 billion CFUs/day) are most effective

Low dose probiotics (<5 billion CFUs of probiotics per day) were not as effective as high dose probiotics (RR 0.68, 95% CI 0.46 to 1.01; low certainty evidence)

Adverse events

Follow‐up: 5 days to 4 weeks

55 per 10007

39 per 1000
(25 to 61)

16 fewer adverse events per 1000
(6 more to 30 fewer)

RD ‐0.00 (‐0.01 to 0.01)

4415
(24 studies)

⊕⊕⊝⊝
Low8.9.10.11

Duration of diarrhea (days)

Follow‐up: 10 days to 12 weeks

MD 0.91 fewer
(1.38 fewer to 0.44 fewer)

1263
(8 studies)

⊕⊕⊝⊝
Low12.13

Microbiome characteristics

Follow‐up: one day to one month after cessation of antibiotic therapy

40
(1 study)

⊕⊝⊝⊝
Very low14.15

*The basis for the baseline risk (e.g. the median control group risk across studies) is provided in footnotes. The corresponding risk (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: Confidence interval; MD: Mean difference; RD: Risk difference; RR: Risk Ratio
AAD: antibiotic‐associated diarrhea;

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 Baseline/control group risk estimates come from pooled estimates of control group among 33 included studies.

2 20 of 33 studies were rated as high risk of bias to due to issues with lack of blinding, or lack of concealment of allocation, or loss to follow‐up (LTFU) or industry sponsorship. Loss to follow‐up was substantial (>20%) in 6 studies. In particular, LTFU was 46.4% (King 2010) and 36.6% in two small studies (Tankanow 1990), respectively; and 29% in two additional studies (Arvola 1999; Erdeve 2004), one of which was the largest eligible trial included in our review (n=653) (Erdeve 2004). However, a test for interaction between low risk of bias trials and high or unclear risk of bias trials was not statistically significant (P = 0.30). Further, we conducted a sensitivity analysis wherein we made assumptions about the outcomes for patients that went missing and found similar clinically important results (RR 0.61; 95% CI 0.49 to 0.77).

3 I² is 57% with a P value less than 0.0001 suggesting substantial heterogeneity. We explored the heterogeneity based on nine a priori subgroups, with probiotic dose (high versus low) demonstrating a significant subgroup to help explain the moderate heterogeneity observed. We tested the credibility of this subgroup using published criteria and determined that the subgroup demonstrating increased efficacy of high probiotic dose (≥5 billion CFUs/day) is credible, thus we present the results for this subgroup analysis as separate row in the table.

4 Regarding inconsistency ( I² is 57%), given the variability in probiotic species and/or strains used, a priori we planned a subgroup analysis to explore if there were important differences in treatment effect between products with specific species and/or strains. Our subgroup analysis demonstrated no statistically significant difference between products based on our test of interaction (P = 0.94), demonstrating that variability in products used was a minor issue and we therefore did not rate down. However for AAD, given the minor issues with both risk of bias and inconsistency, we rated down once from high to moderate quality evidence.

5 13 of 20 studies were rated as high risk of bias due to lack of concealment of allocation, blinding, LTFU or other bias (such as sponsored by industry). 7 of 20 studies were open label or not blinded. Loss to follow‐up was substantial (>20%) in 3 studies. In particular, LTFU was 46.4% in a small study (King 2010) and 29% in two studies that were moderate in size (Arvola 1999) and large in size (Erdeve 2004), respectively. However, our a priori subgroup analysis on risk of bias demonstrated no statistically significant difference between studies at high risk versus low risk of bias (P = 0.30). Therefore we judged risk of bias is a minor issue and we did not rate down.

6 Regarding inconsistency ( I² is 57%), given the variability in probiotic species and/or strains used, a priori we planned a subgroup analysis to explore if there were important differences in treatment effect between probiotic species/strains. Our subgroup analysis demonstrated no statistically significant difference between species/strains (P = 0.94), demonstrating that variability in products used was a minor issue and we therefore did not rate down. Given the minor issues with risk of bias and inconsistency, again for high dose probiotics (≥5 billion CFUs/day), we rated down once from high to moderate quality evidence.

7 Baseline/control group risk estimates come from pooled estimates of control groups.

8 Only 24 of 33 studies reported on adverse events, suggesting a selective reporting bias and we therefor rated down.

9 The total number of events (207) is less than 400 suggesting issues with imprecision. However, imprecision is a minor issue as adverse events are more common in the placebo group and other more comprehensive reviews specific to probiotic safety in variety of clinical settings suggest that short‐term use of probiotics is safe in otherwise healthy children, with no evidence to suggest a risk of sepsis in the general population.

10 Regarding indirectness related to safety, numerous probiotic products and doses were evaluated amongst eligible trials. Overall for all studies there were more adverse events in the placebo group and we considered indirectness related to adverse events a minor issue.

11 Regarding inconsistency related to the safety of probiotics, statistical tests show considerable heterogeneity (I² = 75% P<0.00001), possibly due to the variability in how adverse events were captured and defined across the eligible trials; we therefor rated down for serious inconsistency.

12 8 of 33 trials reported duration of diarrhea, suggesting a selective reporting bias and we rated down.

13 We further rated down for inconsistency given the large statistical heterogeneity (I² = 84%), very low P value [P<0.00001]), and given that point estimates and confidence intervals vary considerably.

14 Only 1 study with small sample size (n = 40) reported microbiome characteristics, suggesting very serious imprecision and the possibility of selective reporting. We therefore rated down twice for imprecision and once for selective reporting.

15 Microbiome results are not of importance to patients and we rated down for indirectness. Further, the use of 16S rRNA gene sequences to study bacterial phylogeny and taxonomy has been by far the most common test and authors did not use other suggested methods for measuring microbiome characteristics, making the results difficult to summarize and interpret for clinicians (Janda 2007; Mclnnes 2010).

Figures and Tables -
Summary of findings for the main comparison. Probiotics as an adjunct to antibiotics for the prevention of antibiotic‐associated diarrhea in children
Comparison 1. Probiotics versus control

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Incidence of diarrhea: Complete case Show forest plot

33

6352

Risk Ratio (M‐H, Random, 95% CI)

0.45 [0.36, 0.56]

1.1 Incidence of Diarrhea: Active controlled trials

2

773

Risk Ratio (M‐H, Random, 95% CI)

0.85 [0.33, 2.21]

1.2 Incidence of Diarrhea: Placebo controlled trials

19

2335

Risk Ratio (M‐H, Random, 95% CI)

0.50 [0.37, 0.67]

1.3 Incidence of Diarrhea: No treatment control

12

3244

Risk Ratio (M‐H, Random, 95% CI)

0.35 [0.26, 0.47]

2 Incidence of diarrhea: Inpatient versus outpatient Show forest plot

21

3949

Risk Ratio (M‐H, Random, 95% CI)

0.44 [0.31, 0.61]

2.1 Inpatient

10

1469

Risk Ratio (M‐H, Random, 95% CI)

0.34 [0.26, 0.45]

2.2 Outpatient

11

2480

Risk Ratio (M‐H, Random, 95% CI)

0.54 [0.33, 0.88]

3 Incidence of diarrhea: Diagnosis Show forest plot

27

4847

Risk Ratio (M‐H, Random, 95% CI)

0.43 [0.34, 0.55]

3.1 H. pylori

6

700

Risk Ratio (M‐H, Random, 95% CI)

0.48 [0.35, 0.64]

3.2 Respiratory Infections

6

1064

Risk Ratio (M‐H, Random, 95% CI)

0.44 [0.33, 0.61]

3.3 Mixed

15

3083

Risk Ratio (M‐H, Random, 95% CI)

0.43 [0.27, 0.67]

4 Incidence of diarrhea: Probiotic species Show forest plot

33

6352

Risk Ratio (M‐H, Random, 95% CI)

0.45 [0.36, 0.56]

4.1 Lactobacillus rhamnosus (strains: GG, ATCC53103 and E/N, Oxy, Pen)

6

686

Risk Ratio (M‐H, Random, 95% CI)

0.37 [0.24, 0.55]

4.2 L. acidophilus & L. bulgaricus

1

38

Risk Ratio (M‐H, Random, 95% CI)

0.96 [0.61, 1.50]

4.3 L. acidophilus and Bifidobacterium infantis

1

18

Risk Ratio (M‐H, Random, 95% CI)

0.47 [0.18, 1.21]

4.4 L. sporogenes

1

98

Risk Ratio (M‐H, Random, 95% CI)

0.47 [0.29, 0.77]

4.5 Saccharomyces boulardii

9

3165

Risk Ratio (M‐H, Random, 95% CI)

0.36 [0.24, 0.54]

4.6 Bifidobacterium. lactis & Streptococcus. thermophilus

1

157

Risk Ratio (M‐H, Random, 95% CI)

0.52 [0.29, 0.95]

4.7 Bacillus clausii

1

323

Risk Ratio (M‐H, Random, 95% CI)

0.43 [0.11, 1.62]

4.8 Lactococcus lactis, L. plantarum, L. rhamnosus, L. casei, L. lactis subspecies diacetylactis, Leuconostoc cremoris, Bifidobacterium longum, B. breve, Lactobacillus acidophilus, and Saccharomyces florentinus

1

117

Risk Ratio (M‐H, Random, 95% CI)

0.83 [0.41, 1.67]

4.9 Bifidobacterium longum PL03, Lactobacillus rhamnosus KL53A, and Lactobacillus plantarum PL02

1

78

Risk Ratio (M‐H, Random, 95% CI)

0.48 [0.04, 5.03]

4.10 Streptococcus thermophillus, L. acidophilus, B. anamalis subsp. lactus, L. delbrueckii subsp. bulgaris

1

106

Risk Ratio (M‐H, Random, 95% CI)

1.73 [0.39, 7.70]

4.11 Lactobacillus rhamnosus GG, Bifidobacterium animalis subsp. Lactis Bv‐12, L. acidophilus LA‐5

1

70

Risk Ratio (M‐H, Random, 95% CI)

0.08 [0.00, 1.39]

4.12 Lactobasillus casei, Lactobacillus acidophilus, Lactobasillus reuteri, Lactobasillus bulgaricus, Streptococcus, Bifidobacterium bifidum, Bifidobacterium infantis

1

50

Risk Ratio (M‐H, Random, 95% CI)

0.23 [0.07, 0.71]

4.13 Lactobacillus reuteri DSM 17938

2

344

Risk Ratio (M‐H, Random, 95% CI)

1.68 [0.76, 3.72]

4.14 Lactobacillus acidophilus, Lactobacillus rhamnosus, Lactobacillus bulgaricus, Lactobacillus casei, Streptococcus thermophilus, Bifidobacterium infantis and Bifidobacterium breve

1

66

Risk Ratio (M‐H, Random, 95% CI)

0.25 [0.06, 1.09]

4.15 L. casei DN‐114 001

1

86

Risk Ratio (M‐H, Random, 95% CI)

0.72 [0.18, 2.84]

4.16 Clostridium Butyricum and Bifidobacterium

1

372

Risk Ratio (M‐H, Random, 95% CI)

0.46 [0.26, 0.83]

4.17 Lactobacillus plantarum DSM 9843

1

438

Risk Ratio (M‐H, Random, 95% CI)

0.67 [0.24, 1.86]

4.18 Lactobacilli and Lactococci, Bifidobacterium, propionate‐oxidising bacteria and acetic acid bacteria

1

40

Risk Ratio (M‐H, Random, 95% CI)

0.08 [0.00, 1.28]

4.19 Lactobacillus sporegens, Streptococcus faecalis, clostridium butyricum and Bacillus mesentericus

1

100

Risk Ratio (M‐H, Random, 95% CI)

0.14 [0.01, 2.70]

5 Incidence of diarrhea: Single strain versus multi strain Show forest plot

33

6352

Risk Ratio (M‐H, Random, 95% CI)

0.45 [0.36, 0.56]

5.1 Single Strain

20

4900

Risk Ratio (M‐H, Random, 95% CI)

0.42 [0.32, 0.56]

5.2 Multi Strain

13

1452

Risk Ratio (M‐H, Random, 95% CI)

0.53 [0.37, 0.75]

6 Incidence of diarrhea: Probiotic dose Show forest plot

32

6252

Risk Ratio (M‐H, Random, 95% CI)

0.45 [0.36, 0.57]

6.1 ≥5 billion CFUs of probiotic/day

20

4038

Risk Ratio (M‐H, Random, 95% CI)

0.37 [0.30, 0.46]

6.2 <5 billion CFUs of probiotic/day

12

2214

Risk Ratio (M‐H, Random, 95% CI)

0.68 [0.46, 1.01]

7 Incidence of diarrhea: Definition of diarrhea Show forest plot

27

6499

Risk Ratio (M‐H, Random, 95% CI)

0.41 [0.31, 0.54]

7.1 3 or more watery/liquid stools for more than 2 days

2

317

Risk Ratio (M‐H, Random, 95% CI)

0.50 [0.02, 11.75]

7.2 3 or more loose/watery/liquid stools per day for at least 2 consecutive days

13

1873

Risk Ratio (M‐H, Random, 95% CI)

0.36 [0.25, 0.50]

7.3 ≥3 watery/liquid stools per 24 hours

9

2748

Risk Ratio (M‐H, Random, 95% CI)

0.48 [0.31, 0.76]

7.4 ≥2 liquid stools per day on at least 2 occasions during study

2

258

Risk Ratio (M‐H, Random, 95% CI)

0.24 [0.09, 0.65]

7.5 ≥2 loose/watery/liquid stools for more than 2 days

2

478

Risk Ratio (M‐H, Random, 95% CI)

0.12 [0.05, 0.27]

7.6 ≥2 liquid stools per 24 hr

2

345

Risk Ratio (M‐H, Random, 95% CI)

0.65 [0.32, 1.30]

7.7 ≥1 abnormally loose bowel movement per 24 hrs

1

38

Risk Ratio (M‐H, Random, 95% CI)

0.96 [0.61, 1.50]

7.8 2 or more BM over the patient's normal

1

372

Risk Ratio (M‐H, Random, 95% CI)

0.46 [0.26, 0.83]

7.9 "Any of Above (Fox)"

1

70

Risk Ratio (M‐H, Random, 95% CI)

0.04 [0.01, 0.27]

8 Incidence of diarrhea: Strictness of definition (mild vs moderate) Show forest plot

25

5408

Risk Ratio (M‐H, Random, 95% CI)

0.41 [0.32, 0.53]

8.1 Moderate diarrhea

20

4304

Risk Ratio (M‐H, Random, 95% CI)

0.40 [0.31, 0.53]

8.2 Mild diarrhea

5

1104

Risk Ratio (M‐H, Random, 95% CI)

0.41 [0.22, 0.77]

9 Incidence of diarrhea: Industry sponsorship Show forest plot

17

2942

Risk Ratio (M‐H, Random, 95% CI)

0.51 [0.34, 0.75]

9.1 Industry Sponsored

9

1627

Risk Ratio (M‐H, Random, 95% CI)

0.58 [0.40, 0.82]

9.2 Non‐Industry

8

1315

Risk Ratio (M‐H, Random, 95% CI)

0.43 [0.18, 1.00]

10 Incidence of diarrhea: Risk of bias Show forest plot

33

6352

Risk Ratio (M‐H, Random, 95% CI)

0.45 [0.36, 0.56]

10.1 Low Risk

13

2170

Risk Ratio (M‐H, Random, 95% CI)

0.53 [0.37, 0.77]

10.2 High Risk

20

4182

Risk Ratio (M‐H, Random, 95% CI)

0.42 [0.31, 0.56]

11 Incidence of diarrhea: age Show forest plot

32

5752

Risk Ratio (M‐H, Random, 95% CI)

0.47 [0.37, 0.58]

11.1 0‐2 years (≤ 24 months)

6

1127

Risk Ratio (M‐H, Random, 95% CI)

0.37 [0.26, 0.53]

11.2 > 2 years (>24 months)

26

4625

Risk Ratio (M‐H, Random, 95% CI)

0.50 [0.39, 0.66]

12 Incidence of diarrhea: Sensitivity analysis (complete case ‐ fixed effects) Show forest plot

33

6352

Risk Ratio (M‐H, Fixed, 95% CI)

0.43 [0.37, 0.49]

12.1 Active controlled

2

773

Risk Ratio (M‐H, Fixed, 95% CI)

0.87 [0.58, 1.32]

12.2 Placebo controlled

19

2335

Risk Ratio (M‐H, Fixed, 95% CI)

0.48 [0.39, 0.59]

12.3 No treatment control

12

3244

Risk Ratio (M‐H, Fixed, 95% CI)

0.34 [0.28, 0.41]

13 Incidence of diarrhea: Probiotic dose (extreme‐plausible analysis) Show forest plot

33

7019

Risk Ratio (M‐H, Random, 95% CI)

0.61 [0.49, 0.77]

13.1 ≥5 billion CFUs of probiotic/day

20

4425

Risk Ratio (M‐H, Random, 95% CI)

0.54 [0.42, 0.70]

13.2 <5 billion CFUs of probiotic/day

13

2594

Risk Ratio (M‐H, Random, 95% CI)

0.80 [0.54, 1.20]

14 Incidence of diarrhea: Sensitivity analysis (missing outcome data ‐ extreme plausible analysis) Show forest plot

33

7019

Risk Ratio (M‐H, Random, 95% CI)

0.61 [0.49, 0.77]

14.1 Active controlled

2

948

Risk Ratio (M‐H, Random, 95% CI)

1.07 [0.40, 2.86]

14.2 Placebo controlled

19

2571

Risk Ratio (M‐H, Random, 95% CI)

0.71 [0.54, 0.92]

14.3 No treatment control

12

3500

Risk Ratio (M‐H, Random, 95% CI)

0.46 [0.31, 0.66]

15 Adverse events: Complete case Show forest plot

24

4415

Risk Difference (M‐H, Random, 95% CI)

‐0.00 [‐0.01, 0.01]

16 Adverse events: Same event rate assumptions analysis Show forest plot

24

4595

Risk Difference (M‐H, Random, 95% CI)

‐0.00 [‐0.01, 0.01]

17 Adverse events: Risk of bias Show forest plot

24

4415

Risk Difference (M‐H, Random, 95% CI)

‐0.00 [‐0.01, 0.01]

17.1 Low RoB

11

1978

Risk Difference (M‐H, Random, 95% CI)

‐0.02 [‐0.05, 0.01]

17.2 High/Unclear

13

2437

Risk Difference (M‐H, Random, 95% CI)

0.00 [‐0.00, 0.00]

18 Mean duration of diarrhea: Complete case Show forest plot

8

1263

Mean Difference (IV, Random, 95% CI)

‐0.91 [‐1.38, ‐0.44]

Figures and Tables -
Comparison 1. Probiotics versus control