Scolaris Content Display Scolaris Content Display

Castor oil, bath and/or enema for cervical priming and induction of labour

Collapse all Expand all

Abstract

available in

Background

Castor oil, a potent cathartic, is derived from the bean of the castor plant. Anecdotal reports, which date back to ancient Egypt have suggested the use of castor oil to stimulate labour. Castor oil has been widely used as a traditional method of initiating labour in midwifery practice. Its role in the initiation of labour is poorly understood and data examining its efficacy within a clinical trial are limited. This is one of a series of reviews of methods of cervical ripening and labour induction using standardised methodology.

Objectives

To determine the effects of castor oil or enemas for third trimester cervical ripening or induction of labour in comparison with other methods of cervical ripening or induction of labour.

Search methods

We searched the Cochrane Pregnancy and Childbirth Group's Trials Register (30 April 2013) and bibliographies of relevant papers.

Selection criteria

Clinical trials comparing castor oil, bath or enemas used for third trimester cervical ripening or labour induction with placebo/no treatment or other methods listed above it on a predefined list of labour induction methods.

Data collection and analysis

A strategy was developed to deal with the large volume and complexity of trial data relating to labour induction. This involved a two‐stage method of data extraction.

Main results

Three trials, involving 233 women, are included. There was no evidence of differences in caesarean section rates between the two interventions in the two trials reporting this outcome (risk ratio (RR) 2.04, 95% confidence interval (CI) 0.92 to 4.55). There were no data presented on neonatal or maternal mortality or morbidity.

There was no evidence of a difference between castor oil and placebo/no treatment for the rate of instrumental delivery, meconium‐stained liquor, or Apgar score less than seven at five minutes. The number of participants was too small to detect all but large differences in outcome. All women who ingested castor oil felt nauseous (RR 59.92, 95% CI 8.46 to 424.52).

Authors' conclusions

The three trials included in the review contain small numbers of women. All three studies used single doses of castor oil. The results from these studies should be interpreted with caution due to the risk of bias introduced due to poor methodological quality. Further research is needed to attempt to quantify the efficacy of castor oil as an cervical priming and induction agent.

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.

Plain language summary

available in

Castor oil, bath and/or enema for cervical priming and induction of labour

Sometimes it is necessary to bring on labour artificially. Castor oil has been widely used as a traditional method of inducing labour in midwifery practice. It can be taken by mouth or as an enema. The review of three trials, involving 233 women, found there has not been enough research done to show the effects of castor oil on ripening the cervix or inducing labour or compare it to other methods of induction. The review found that all women who took castor oil by mouth felt nauseous. More research is needed into the effects of castor oil to induce labour.

Authors' conclusions

Implications for practice

There is still insufficient evidence to make any conclusions regarding the effectiveness of castor oil, bath or enemas as induction agents.

Implications for research

Future trials examining the effect of castor oil or enemas as induction agents should aim to be of sufficient power to detect a meaningful reduction in clinically relevant outcomes. Future trials should aim to be of high methodological quality.

Background

Sometimes it is necessary to bring on labour artificially because of safety concerns for the mother or baby. This review is one of a series of reviews of methods of labour induction using a standardised protocol. For more detailed information on the rationale for this methodological approach, please refer to the currently published 'generic' protocol (Hofmeyr 2009). The generic protocol describes how a number of standardised reviews will be combined to compare various methods of preparing the cervix of the uterus and inducing labour.

Castor oil, a potent cathartic, is derived from the bean of the castor plant. Anecdotal reports, which date back to ancient Egypt have suggested the use of castor oil to stimulate labour.

Castor oil has been widely used as a traditional method of initiating labour in midwifery practice. Its role in the initiation of labour is poorly understood and data examining its efficacy within a clinical trial are limited.

Objectives

To determine the effects of castor oil or enemas for third trimester cervical ripening or induction of labour in comparison with other methods of cervical ripening or induction of labour.

Methods

Criteria for considering studies for this review

Types of studies

Clinical trials comparing the use of castor oil or baths and/or enemas for cervical ripening or labour induction, with placebo/no treatment or other methods listed above it on a predefined list of methods of labour induction (see Types of interventions); the trials included some form of random allocation to either group; and they reported one or more of the pre‐stated outcomes.

Types of participants

Pregnant women due for third trimester induction of labour, carrying a viable fetus.

Types of interventions

Clinical trials comparing castor oil or enemas for cervical ripening or labour induction with placebo/no treatment or other methods listed above it on a predefined list of methods of labour induction (see list below).

To avoid duplication of data in a series of reviews on interventions for labour induction as described in the generic protocol for methods for cervical ripening and labour induction in late pregnancy (Hofmeyr 2009), the labour induction methods were listed in a specific order, from one to 27. Each review included comparisons between one of the methods (from two to 27) with only those methods above it on the list. Thus, this review of castor oil, bath, and/or enema (19) could include comparisons with any of the following: (1) placebo/no treatment; (2) vaginal prostaglandins; (3) intracervical prostaglandins; (4) intravenous oxytocin; (5) amniotomy; (6) intravenous oxytocin with amniotomy; (7) vaginal misoprostol; (8) oral misoprostol; (9) mechanical methods including extra‐amniotic Foley catheter; (10) membrane sweeping; (11) extra‐amniotic prostaglandins; (12) intravenous prostaglandins; (13) oral prostaglandins; (14) mifepristone; (15) oestrogens with or without amniotomy; (16) corticosteroids; (17) relaxin; or (18) hyaluronidase. Methods identified in the future will be added to the end of the list. The current list is as follows:

(1) placebo/no treatment;
(2) vaginal prostaglandins (Kelly 2009);
(3) intracervical prostaglandins (Boulvain 2008);
(4) intravenous oxytocin (Alfirevic 2009);
(5) amniotomy (Bricker 2000);
(6) intravenous oxytocin with amniotomy (Howarth 2001);
(7) vaginal misoprostol (Hofmeyr 2010);
(8) oral misoprostol (Alfirevic 2006);
(9) mechanical methods including extra‐amniotic Foley catheter (Jozwiak 2012);
(10) membrane sweeping (Boulvain 2005);
(11) extra‐amniotic prostaglandins (Hutton 2001);
(12) intravenous prostaglandins (Luckas 2000);
(13) oral prostaglandins (French 2001);
(14) mifepristone (Hapangama 2009);
(15) oestrogens with or without amniotomy (Thomas 2001);
(16) corticosteroids (Kavanagh 2006);
(17) relaxin (Kelly 2001);
(18) hyaluronidase (Kavanagh 2006a);
(19) castor oil, bath, and/or enema (this review);
(20) acupuncture (Smith 2004);
(21) breast stimulation (Kavanagh 2005);
(22) sexual intercourse (Kavanagh 2001);
(23) homoeopathic methods (Smith 2003);
(24) nitric oxide (Kelly 2011);
(25) buccal or sublingual misoprostol (Muzonzini 2004);
(26) hypnosis;
(27) other methods for induction of labour.

Types of outcome measures

Primary outcomes

Two authors of labour induction reviews (Justus Hofmeyr and Zarko Alfirevic) prespecified clinically relevant outcomes for trials of methods of cervical ripening/labour induction. They resolved differences by discussion.

Five primary outcomes were chosen as being most representative of the clinically important measures of effectiveness and complications:
(1) vaginal delivery not achieved within 24 hours (or period specified by trial authors);
(2) uterine hyperstimulation with fetal heart rate (FHR) changes;
(3) caesarean section;
(4) serious neonatal morbidity or perinatal death (e.g. seizures, birth asphyxia defined by trialists, neonatal encephalopathy, disability in childhood);
(5) serious maternal morbidity or death (e.g. uterine rupture, admission to intensive care unit, septicaemia).

Perinatal and maternal morbidity and mortality are composite outcomes. This is not an ideal solution because some components are clearly less severe than others. It is possible for one intervention to cause more deaths but less severe morbidity. However, in the context of labour induction at term this is unlikely. All these events will be rare, and a modest change in their incidence will be easier to detect if composite outcomes are presented. The incidence of individual components are explored as secondary outcomes (see below).

Secondary outcomes

Secondary outcomes relate to measures of effectiveness, complications and satisfaction.

Measures of effectiveness

(6) Cervix unfavourable/unchanged after 12 to 24 hours;
(7) oxytocin augmentation.

Complications

(8) Uterine hyperstimulation without FHR changes;
(9) uterine rupture;
(10) epidural analgesia;
(11) instrumental vaginal delivery;
(12) meconium‐stained liquor;
(13) Apgar score less than seven at five minutes;
(14) neonatal intensive care unit admission;
(15) neonatal encephalopathy;
(16) perinatal death;
(17) disability in childhood;
(18) maternal side effects (all);
(19) maternal nausea;
(20) maternal vomiting;
(21) maternal diarrhoea;
(22) other maternal side‐effects;
(23) postpartum haemorrhage (as defined by the trial authors);
(24) serious maternal complications (e.g. intensive care unit admission, septicaemia but excluding uterine rupture);
(25) maternal death.

Measures of satisfaction

(26) Woman not satisfied;
(27) caregiver not satisfied.

'Uterine rupture' includes all clinically significant ruptures of unscarred or scarred uteri. Trivial scar dehiscence noted incidentally at the time of surgery is excluded.

Additional outcomes may appear in individual reviews.

While all the above outcomes were sought, only those with data appear in the analysis tables.

The terminology of uterine hyperstimulation is problematic (Curtis 1987). In the reviews we will use the term 'uterine hyperstimulation without FHR changes' to include uterine tachysystole (more than five contractions per 10 minutes for at least 20 minutes) and uterine hypersystole/hypertonus (a contraction lasting at least two minutes) and 'uterine hyperstimulation with FHR changes' to denote uterine hyperstimulation syndrome (tachysystole or hypersystole with fetal heart rate changes such as persistent decelerations, tachycardia or decreased short‐term variability). However, due to varied reporting there is the possibility of subjective bias in the interpretation of these outcomes. Also, it is not always clear from trials if these outcomes are reported in a mutually exclusive manner.

Outcomes were included in the analysis: if reasonable measures were taken to minimise observer bias; and data were available for analysis according to original allocation.

Search methods for identification of studies

Electronic searches

We contacted the Trials Search Co‐ordinator to search the Cochrane Pregnancy and Childbirth Group’s Trials Register (30 April 2013).

The Cochrane Pregnancy and Childbirth Group’s Trials Register is maintained by the Trials Search Co‐ordinator and contains trials identified from: 

  1. monthly searches of the Cochrane Central Register of Controlled Trials (CENTRAL);

  2. weekly searches of MEDLINE;

  3. weekly searches of EMBASE;

  4. handsearches of 30 journals and the proceedings of major conferences;

  5. weekly current awareness alerts for a further 44 journals plus monthly BioMed Central email alerts. 

Details of the search strategies for CENTRAL, MEDLINE and EMBASE, the list of handsearched journals and conference proceedings, and the list of journals reviewed via the current awareness service can be found in the ‘Specialized Register’ section within the editorial information about the Cochrane Pregnancy and Childbirth Group

Trials identified through the searching activities described above are each assigned to a review topic (or topics). The Trials Search Co‐ordinator searches the register for each review using the topic list rather than keywords.  

Searching other resources

The original search was performed simultaneously for all reviews of methods of inducing labour, as outlined in the generic protocol for these reviews (Hofmeyr 2000).

We searched reference lists of retrieved trial reports.

We did not apply any language restrictions.

Data collection and analysis

For methods used in the previous version of this review, see Appendix 1. These methods followed those described in the generic protocol (Hofmeyr 2009), which was developed in order to provide a standardised methodological approach for conducting a series of reviews examining the various methods of preparing the cervix of the uterus and inducing labour.

For this update, the following methods were used for assessing the six reports that were identified as a result of the updated search.

Selection of studies

Two review authors independently assessed for inclusion all the potential studies identified as a result of the search strategy. We resolved any disagreement through discussion or, if required, we consulted the third review author.

Data extraction and management

We designed a form to extract data. For eligible studies, two review authors extracted the data using the agreed form. We resolved discrepancies through discussion or, if required, we consulted the third review author. Data were entered into Review Manager software (RevMan 2011) and checked for accuracy.

When information regarding any of the above was unclear, we planned to contact authors of the original reports to provide further details.

Assessment of risk of bias in included studies

Two review authors independently assessed risk of bias for each study using the criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). Any disagreement was resolved by discussion or by involving a third assessor.

(1) Random sequence generation (checking for possible selection bias)

We described for each included study the method used to generate the allocation sequence in sufficient detail to allow an assessment of whether it should produce comparable groups.

We have assessed the method as:

  • low risk of bias (any truly random process, e.g. random number table; computer random number generator);

  • high risk of bias (any non‐random process, e.g. odd or even date of birth; hospital or clinic record number);

  • unclear risk of bias.

(2) Allocation concealment (checking for possible selection bias)

We described for each included study the method used to conceal allocation to interventions prior to assignment and assessed whether intervention allocation could have been foreseen in advance of, or during recruitment, or changed after assignment.

We have assessed the methods as:

  • low risk of bias (e.g. telephone or central randomisation; consecutively numbered sealed opaque envelopes);

  • high risk of bias (open random allocation; unsealed or non‐opaque envelopes, alternation; date of birth);

  • unclear risk of bias.

(3.1) Blinding of participants and personnel (checking for possible performance bias)

We described for each included study the methods used, if any, to blind study participants and personnel from knowledge of which intervention a participant received. We considered that studies were at low risk of bias if they were blinded, or if we judged that the lack of blinding unlikely to affect results. We assessed blinding separately for different outcomes or classes of outcomes.

We have assessed the methods as:

  • low, high or unclear risk of bias for participants;

  • low, high or unclear risk of bias for personnel.

(3.2) Blinding of outcome assessment (checking for possible detection bias)

We described for each included study the methods used, if any, to blind outcome assessors from knowledge of which intervention a participant received. We assessed blinding separately for different outcomes or classes of outcomes.

We have assessed methods used to blind outcome assessment as:

  • low, high or unclear risk of bias.

(4) Incomplete outcome data (checking for possible attrition bias due to the amount, nature and handling of incomplete outcome data)

We described for each included study, and for each outcome or class of outcomes, the completeness of data including attrition and exclusions from the analysis. We stated whether attrition and exclusions were reported and the numbers included in the analysis at each stage (compared with the total randomised participants), reasons for attrition or exclusion where reported, and whether missing data were balanced across groups or were related to outcomes. Where sufficient information was reported, or could be supplied by the trial authors, we planned to re‐include missing data in the analyses which we undertook.

We have assessed methods as:

  • low risk of bias (e.g. no missing outcome data; missing outcome data balanced across groups);

  • high risk of bias (e.g. numbers or reasons for missing data imbalanced across groups; ‘as treated’ analysis done with substantial departure of intervention received from that assigned at randomisation);

  • unclear risk of bias.

(5) Selective reporting (checking for reporting bias)

We described for each included study how we investigated the possibility of selective outcome reporting bias and what we found.

We have assessed the methods as:

  • low risk of bias (where it is clear that all of the study’s pre‐specified outcomes and all expected outcomes of interest to the review have been reported);

  • high risk of bias (where not all the study’s pre‐specified outcomes have been reported; one or more reported primary outcomes were not pre‐specified; outcomes of interest are reported incompletely and so cannot be used; study fails to include results of a key outcome that would have been expected to have been reported);

  • unclear risk of bias.

(6) Other bias (checking for bias due to problems not covered by (1) to (5) above)

We described for each included study any important concerns we had about other possible sources of bias.

(7) Overall risk of bias

We made explicit judgements about whether studies were at high risk of bias, according to the criteria given in the Handbook (Higgins 2011). With reference to (1) to (6) above, we planned to assess the likely magnitude and direction of the bias and whether we considered it is likely to impact on the findings. In future updates, we will explore the impact of the level of bias through undertaking sensitivity analyses ‐ seeSensitivity analysis.

Measures of treatment effect

Dichotomous data

For dichotomous data, we presented results as summary risk ratio with 95% confidence intervals. 

Continuous data

No continuous data were analysed in this update (2013). In future updates, if continuous data are analysed, we will use the mean difference if outcomes are measured in the same way between trials. We will use the standardised mean difference to combine trials that measure the same outcome, but use different methods.  

Unit of analysis issues

Cluster‐randomised trials

No cluster‐randomised trials were found for inclusion in the 2013 update of this review.

In future updates, we will include cluster‐randomised trials in the analyses along with individually‐randomised trials. We will adjust their sample sizes using the methods described in the Handbook [Section 16.3.4 or 16.3.6] using an estimate of the intracluster correlation co‐efficient (ICC) derived from the trial (if possible), from a similar trial or from a study of a similar population. If we use ICCs from other sources, we will report this and conduct sensitivity analyses to investigate the effect of variation in the ICC. If we identify both cluster‐randomised trials and individually‐randomised trials, we plan to synthesise the relevant information. We will consider it reasonable to combine the results from both if there is little heterogeneity between the
study designs and the interaction between the effect of intervention and the choice of randomisation unit is considered to be unlikely.

We will also acknowledge heterogeneity in the randomisation unit and perform a sensitivity analysis to investigate the effects of the randomisation unit.

Cross‐over trials

Cross‐over trials were not eligible for inclusion in this review.

Dealing with missing data

For included studies, levels of attrition were noted. In future updates, if more eligible studies are included, the impact of including studies with high levels of missing data in the overall assessment of treatment effect will be explored by using sensitivity analysis.

For all outcomes, analyses were carried out, as far as possible, on an intention‐to‐treat basis i.e. we attempted to include all participants randomised to each group in the analyses. The denominator for each outcome in each trial was the number randomised minus any participants whose outcomes were known to be missing.

Assessment of heterogeneity

We assessed statistical heterogeneity in each meta‐analysis using the T², I² and Chi² statistics. We regarded heterogeneity as substantial if I² was greater than 30% and either the T² was greater than zero, or there was a low P value (less than 0.10) in the Chi² test for heterogeneity. If we identified substantial heterogeneity (above 30%), we planned to explore it by pre‐specified subgroup analysis. 

Assessment of reporting biases

In future updates, if there are 10 or more studies in the meta‐analysis, we will investigate reporting biases (such as publication bias) using funnel plots. We will assess funnel plot asymmetry visually. If asymmetry is suggested by a visual assessment, we will perform exploratory analyses to investigate it.

Data synthesis

We carried out statistical analysis using the Review Manager software (RevMan 2011). We used fixed‐effect meta‐analysis for combining data where it was reasonable to assume that studies were estimating the same underlying treatment effect: i.e. where trials were examining the same intervention, and the trials’ populations and methods were judged sufficiently similar.

In future updates, If there is clinical heterogeneity sufficient to expect that the underlying treatment effects differ between trials, or if substantial statistical heterogeneity is detected, we will use random‐effects meta‐analysis to produce an overall summary if an average treatment effect across trials is considered clinically meaningful. The random‐effects summary will be treated as the average of the range of possible treatment effects and we will discuss the clinical implications of treatment effects differing between trials. If the average treatment effect is not clinically meaningful, we will not combine trials. If we use random‐effects analyses, the results will be presented as the average treatment effect with 95% confidence intervals, and the estimates of T² and I².

Subgroup analysis and investigation of heterogeneity

In future updates, if we identify substantial heterogeneity, we will investigate it using subgroup analyses and sensitivity analyses. We will consider whether an overall summary is meaningful, and if it is, use random‐effects analysis to produce it.

We plan to carry out the following subgroup analyses:

  1. previous caesarean section or not;

  2. nulliparity or multiparity;

  3. membranes intact or ruptured;

  4. cervix favourable, unfavourable or undefined.

Subgroup analyses will be restricted to the review's primary outcomes.

We will assess subgroup differences by interaction tests available within RevMan (RevMan 2011). We will report the results of subgroup analyses quoting the χ2 statistic and P value, and the interaction test I² value.

Sensitivity analysis

We plan to carry out sensitivity analyses to explore the effect of trial quality assessed by concealment of allocation, high attrition rates, or both, with poor quality studies being excluded from the analyses in order to assess whether this makes any difference to the overall result.

Results

Description of studies

Results of the search

Nine trials were identified for consideration for inclusion in the review: three were included, five were excluded and one is awaiting further assessment. The included trials contained 233 women in total.

Included studies

Three studies were included: Garry 2000 and Azhari 2006 compared the use of a single dose of castor oil with no treatment in women with intact membranes and unfavourable cervices. Gilad 2012 compared a single dose of castor oil with a placebo in women with an unfavourable cervix.

Excluded studies

Two studies did not report any of the prespecified outcomes and hence were excluded. Mathie 1959 examined the effect of castor oil, soap enema or a hot bath in combination or alone and Saberi 2008 examined the effect of castor oil in comparison with no treatment.

One study examined the effect of castor oil, soap enema and hot bath but these were examined in combination with amniotomy and oxytocin (Nabors 1958). As this is a complex intervention, it is not included in this review.

One study, Azharkish 2008, did not have an English translation available and hence was excluded. A further study, Wang 1997 was translated into English and then was found to be comparing vaginal misoprostol to a complex intervention of fried egg yolks cooked in oil followed by intravenous oxytocin 12 hours later.

Risk of bias in included studies

See Figure 1; Figure 2 for a summary of risk of bias assessments in included studies.


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

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.

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

The method of allocation in the included trial (Garry 2000) was by alternation; this may introduce subjective selection bias. In the remaining two trials there were no specific details regarding sequence generation or allocation concealment. Furthermore, no attempt was made to introduce a placebo arm into two trials and hence there was inadequate blinding of both the patient and outcome assessor; this again may have introduced bias into the results. There were no losses to follow‐up in any study.

Effects of interventions

Castor oil versus no treatment/placebo (three trials n = 233 eligible, 227 women randomised)

Primary outcomes

There was no evidence of differences in caesarean section rates between the two interventions in the two trials reporting this outcome (risk ratio (RR) 2.04, 95% confidence interval (CI) 0.92 to 4.55), (Analysis 1.1).

There were no other data presented on neonatal or maternal mortality or morbidity.

Secondary outcomes

There was no evidence of a difference between castor oil and placebo/no treatment for the rate of instrumental delivery (RR 0.46, 95% CI 0.10 to 2.26), (Analysis 1.2); meconium‐stained liquor (RR 0.62, 95% CI 0.23 to 1.66), (Analysis 1.3); or Apgar score less than seven at five minutes (no events in any of the studies). The number of participants was too small to detect all but large differences in outcome.

All women who ingested castor oil felt nauseous (RR 59.92, 95% CI 8.46 to 424.52), (Analysis 1.6).

There was no evidence of significant differences for any reported outcomes (with the exception of nausea) in the all women group. The included studies looked at women with intact membranes and two included women with intact membranes and an unfavourable cervix, hence, although data from predefined subgroups as outlined above are presented, they do not differ from the all women group.

Discussion

The three trials included in the review contain small numbers of women. All three studies used single doses of castor oil. One trial used alternation as a method of allocation, although the other two studies were unclear on the methods used to allocate women. Hence the results from all these studies should be interpreted with caution due to the risk of bias introduced due to poor methodological quality. The incidence of maternal side effects was high in association with castor oil ingestion. Further research is needed to attempt to quantify the efficacy of castor oil as a cervical priming and induction agent.

Risk of bias graph: review authors' judgements about each risk of bias item presented as percentages across all included studies.
Figures and Tables -
Figure 1

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 2

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

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 1 Caesarean section.
Figures and Tables -
Analysis 1.1

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 1 Caesarean section.

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 2 instrumental vaginal delivery.
Figures and Tables -
Analysis 1.2

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 2 instrumental vaginal delivery.

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 3 Meconium‐stained liquor.
Figures and Tables -
Analysis 1.3

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 3 Meconium‐stained liquor.

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 4 Apgar score < 7 at 5 minutes.
Figures and Tables -
Analysis 1.4

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 4 Apgar score < 7 at 5 minutes.

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 5 Maternal side effects (all).
Figures and Tables -
Analysis 1.5

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 5 Maternal side effects (all).

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 6 Nausea (maternal).
Figures and Tables -
Analysis 1.6

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 6 Nausea (maternal).

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 7 Serious maternal complications.
Figures and Tables -
Analysis 1.7

Comparison 1 Castor oil versus no treatment/placebo (all women), Outcome 7 Serious maternal complications.

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 1 Caesarean section.
Figures and Tables -
Analysis 2.1

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 1 Caesarean section.

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 2 Meconium‐stained liquor.
Figures and Tables -
Analysis 2.2

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 2 Meconium‐stained liquor.

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 3 Apgar score < 7 at 5 minutes.
Figures and Tables -
Analysis 2.3

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 3 Apgar score < 7 at 5 minutes.

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 4 Maternal side effects (all).
Figures and Tables -
Analysis 2.4

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 4 Maternal side effects (all).

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 5 Nausea (maternal).
Figures and Tables -
Analysis 2.5

Comparison 2 Castor oil versus no treatment/placebo (all women, unfavourable cervix), Outcome 5 Nausea (maternal).

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 1 Caesarean section.
Figures and Tables -
Analysis 3.1

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 1 Caesarean section.

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 2 Meconium‐stained liquor.
Figures and Tables -
Analysis 3.2

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 2 Meconium‐stained liquor.

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 3 Apgar score < 7 at 5 minutes.
Figures and Tables -
Analysis 3.3

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 3 Apgar score < 7 at 5 minutes.

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 4 Maternal side effects (all).
Figures and Tables -
Analysis 3.4

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 4 Maternal side effects (all).

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 5 Nausea (maternal).
Figures and Tables -
Analysis 3.5

Comparison 3 Castor oil versus no treatment (all women, intact membranes, unfavourable cervix), Outcome 5 Nausea (maternal).

Table 1. Methodological quality of trials

Methodological item

Adequate

Inadequate

Generation of random sequence

Computer‐generated sequence, random number tables, lot drawing, coin tossing, shuffling cards, throwing dice.

Case number, date of birth, date of admission, alternation.

Concealment of allocation

Central randomisation, coded drug boxes, sequentially sealed opaque envelopes.

Open allocation sequence, any procedure based on inadequate generation.

Figures and Tables -
Table 1. Methodological quality of trials
Comparison 1. Castor oil versus no treatment/placebo (all women)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

2

180

Risk Ratio (M‐H, Fixed, 95% CI)

2.04 [0.92, 4.55]

2 instrumental vaginal delivery Show forest plot

1

80

Risk Ratio (M‐H, Fixed, 95% CI)

0.46 [0.10, 2.26]

3 Meconium‐stained liquor Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

0.62 [0.23, 1.66]

4 Apgar score < 7 at 5 minutes Show forest plot

2

180

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

5 Maternal side effects (all) Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

59.92 [8.46, 424.52]

6 Nausea (maternal) Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

59.92 [8.46, 424.52]

7 Serious maternal complications Show forest plot

1

80

Risk Ratio (M‐H, Fixed, 95% CI)

0.17 [0.01, 3.10]

Figures and Tables -
Comparison 1. Castor oil versus no treatment/placebo (all women)
Comparison 2. Castor oil versus no treatment/placebo (all women, unfavourable cervix)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

2

180

Risk Ratio (M‐H, Fixed, 95% CI)

2.04 [0.92, 4.55]

2 Meconium‐stained liquor Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

0.62 [0.23, 1.66]

3 Apgar score < 7 at 5 minutes Show forest plot

2

180

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

4 Maternal side effects (all) Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

59.92 [8.46, 424.52]

5 Nausea (maternal) Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

59.92 [8.46, 424.52]

Figures and Tables -
Comparison 2. Castor oil versus no treatment/placebo (all women, unfavourable cervix)
Comparison 3. Castor oil versus no treatment (all women, intact membranes, unfavourable cervix)

Outcome or subgroup title

No. of studies

No. of participants

Statistical method

Effect size

1 Caesarean section Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

2.31 [0.77, 6.87]

2 Meconium‐stained liquor Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

0.62 [0.23, 1.66]

3 Apgar score < 7 at 5 minutes Show forest plot

1

100

Risk Ratio (M‐H, Fixed, 95% CI)

0.0 [0.0, 0.0]

4 Maternal side effects (all) Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

59.92 [8.46, 424.52]

5 Nausea (maternal) Show forest plot

2

147

Risk Ratio (M‐H, Fixed, 95% CI)

59.92 [8.46, 424.52]

Figures and Tables -
Comparison 3. Castor oil versus no treatment (all women, intact membranes, unfavourable cervix)