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Record W2333499778 · doi:10.1097/ogx.0000000000000100

Does Induction of Labor Increase the Risk for Cesarean Section?

2014· article· en· W2333499778 on OpenAlexaff
Sally L. Wood, Stephanie Cooper, Sue Ross

Bibliographic record

VenueObstetrical & Gynecological Survey · 2014
Typearticle
Languageen
FieldMedicine
TopicMaternal and Perinatal Health Interventions
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsMedicineOligohydramniosObstetricsGestational diabetesExpectant managementPregnancyGestationInduction of laborPremature rupture of membranesGestational ageCesarean deliveryMeta-analysisRandomized controlled trialSurgery

Abstract

fetched live from OpenAlex

Rising rates of cesarean delivery are a major concern for all medical professionals. Reducing the frequency of induction is often mentioned as a means to reverse this trend. Published studies and review articles have examined induction of labor (IOL) versus expectant management and the risk for cesarean delivery, with conflicting results. This systematic review and meta-analysis was performed to determine whether IOL compared with expectant management in women with intact membranes increased the rate of cesarean delivery. MEDLINE, EMBASE, and the Cochrane Database of Clinical Trials were searched. Studies were included if IOL, for indications other than premature rupture of membranes, was compared with expectant management and outcome data on route of delivery were provided. Quantitative analyses with fixed- and random-effects models were performed. Of 1368 unique citations, the review included 37 studies; 27 were induction trials of uncomplicated pregnancies at 37 to 42 weeks of gestation and 10 evaluated IOL versus expectant management in pregnancies with suspected macrosomia, gestational diabetes, oligohydramnios, twins, intrauterine growth restriction, and mild gestational hypertension as well as in women with a high risk score for cesarean delivery. The reported overall cesarean delivery rates varied from 1% to 47%. In almost all studies, IOL was necessary in many of the expectantly managed patients, with rates of 4% to 50%. Most trials reported that the time to delivery increased by approximately 1 week in the expectantly managed group versus the IOL group. Nineteen trials were evaluated to be of high quality; and 17, of low quality. A quantitative summary analysis combined results of 31 trials, with 6248 and 5917 women randomized to IOL and expectant management, respectively. Induction of labor was associated with a reduction in the risk for cesarean delivery compared with expectant management (odds ratio [OR], 0.83; 95% confidence interval [CI], 0.76–0.92). The reduced risk for cesarean delivery was seen in both subgroups of the trials, specifically those examining IOL in women with late-term and postterm gestations (OR, 0.85; 95% CI, 0.76–0.95), and in the trials of IOL for other indications (OR, 0.81; 95% CI, 0.69–0.95). Subgroup analysis of only the 19 high-quality trials revealed a similar result (OR, 0.82; 95% CI, 0.73–0.91). Meta-analysis of the risk for cesarean delivery for fetal distress or the outcomes of postpartum hemorrhage and operative vaginal delivery did not find an increase with IOL. In addition, no statistically significant differences were seen between IOL and expectant management for Apgar score of less than 7 at 5 minutes, admission to the neonatal intensive care unit, or perinatal death. Induction of labor is associated with a moderate but statistically significant reduction in the risk for cesarean delivery. Differences in other maternal and neonatal outcomes were not apparent. On the basis of these findings, it may be that women at high risk for cesarean delivery (older age or obese) could benefit from elective induction. This should be investigated in further clinical trials.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.016
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.080
Threshold uncertainty score0.992

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.016
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.040
GPT teacher head0.326
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations1
Published2014
Admission routes1
Has abstractyes

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