Evidence map›Paper›PMID 41239294›Full record

ArticleBMC pregnancy and childbirth2025

Multivariate analysis of determinants and development of a predictive algorithm for successful labor induction in nulliparous women.

Neifang Wei, Zhiyun Wang

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Article in BMC pregnancy and childbirth, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

2 authors.

Neifang Wei *Ultrasound Department of National Traditional Chinese Medicine Hospital of Xiangxi Tujia and Miao Autonomous Prefecture, Jishou, Hunan, China. weineifang1@163.com.
Zhiyun Wang *Ultrasound Department of National Traditional Chinese Medicine Hospital of Xiangxi Tujia and Miao Autonomous Prefecture, Jishou, Hunan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe present investigation aims to develop an innovative predictive nomogram capable of predicting successful labor induction in nulliparous women, thereby elucidating critical determinants influencing such success and estimating the probability of successful induction in term singleton pregnancies.

methodsThis retrospective cohort analysis included 1,000 term pregnant nulliparas who underwent labor induction in the Ultrasound Department of the National Traditional Chinese Medicine Hospital in Xiangxi Tujia and Miao Autonomous Prefecture between January 2017 and December 2024. We conducted univariate and multivariate logistic regression analyses after comparing various clinical parameters. The outcome variable was defined as the binary success of labor induction, while potential predictors included maternal demographics, obstetric characteristics, cervical conditions (e.g., Bishop score, endocervical impedance [ECI], internal os [IOS], external os [EOS]), duration of oxytocin administration, and presence of a nuchal cord. The model's performance was assessed via receiver operating characteristic (ROC) curve analysis, the concordance index (C-index), a calibration plot, and decision curve analysis (DCA).

resultsLabor induction was successful in 715 patients (71.5%) and failed in 285 patients (28.5%). Significant differences were observed in the Bishop score and cervical length (CL) between the two groups (P < 0.05). Notably, the ECI, IOS, and EOS were markedly lower in the successful induction group than in the failure group (P < 0.05), whereas heart rate was significantly elevated (P < 0.05). Stepwise selection identified the CL, Bishop score, ECI, and hardness ratio (HR) as significant predictors, which were incorporated into a final logistic regression model. The area under the ROC curve was 0.79 (95% CI: 0.71-0.85), with a corrected C-index of 0.753, indicating satisfactory discrimination and calibration.

conclusionThrough comprehensive evaluation, we identified cervical length, the Bishop score, the ECI, and HR as pivotal determinants of successful labor induction. A nomogram incorporating these four factors was constructed to predict the likelihood of successful induction in term singleton nulliparous women. This visual clinical instrument serves as an adjunctive tool for guiding personalized induction strategies based on individual risk profiles.

Indexed as

AlgorithmsLabor, InducedAdultCervical Length MeasurementCervical RipeningCervix UteriFemaleHumansMultivariate AnalysisNomogramsParityPrediction AlgorithmsPregnancyRetrospective StudiesROC CurveBishop scoreCervical lengthElectronic cervical elastographyLabor inductionTerm singleton nulliparous women

Identifiers

PMID41239294
PMCPMC12619178

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.