Evidence map›Paper›PMID 41914186›Full record

ArticleJournal of pregnancy2026

Labor Induction in Obese Pregnancies at Term: Risk Factors and Pregnancy Outcomes.

Huwaida Nabilah, Hermanto Tri Joewono, Muhammad Ilham Aldika Akbar

Abstract read
In one paragraph

Article in Journal of pregnancy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Huwaida NabilahDepartment Obstetrics & Gynecology, Faculty of Medicine Universitas Airlangga, Surabaya, Indonesia.
Hermanto Tri JoewonoDepartment Obstetrics & Gynecology, Faculty of Medicine Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0000-0003-4943-6369
Muhammad Ilham Aldika AkbarDepartment Obstetrics & Gynecology, Faculty of Medicine Universitas Airlangga, Surabaya, Indonesia.ORCID https://orcid.org/0000-0002-2003-9282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objectives of this study are to identify risk factors associated with failed labor induction in obese pregnancies at term and evaluate related maternal and neonatal outcomes.

methodsThis cross-sectional study included obese pregnant women (BMI ≥ 30 kg/m

resultsA total of 159 women were included, comprising 53 failed and 106 successful inductions. Failed induction was significantly associated with primiparity (adjusted odds ratio [aOR], 3.10; 95% CI, 1.46-6.58), Bishop score < 3 (aOR, 2.02; 95% CI, 1.14-3.55), and higher maternal weight gain during pregnancy (aOR per kg increase, 0.89; 95% CI, 0.84-0.95). Maternal weight gain demonstrated a moderate effect size (standardized mean difference, 0.62). Compared with successful induction, failed induction was associated with higher rates of severe preeclampsia (18.9% vs. 1.9%), cesarean delivery (100% vs. 5.7%), longer hospitalization, and lower 1-min Apgar scores. No significant differences were observed in 5-min Apgar scores, fetal growth restriction, congenital anomalies, or NICU admission.

conclusionsIn obese pregnancies at term, primiparity, unfavorable cervical status, and excessive gestational weight gain are independently associated with failed labor induction. These findings highlight the importance of optimized patient selection, cervical assessment, and anticipatory counseling to improve maternal and neonatal outcomes.

Indexed as

Labor, InducedObesityPregnancy ComplicationsPregnancy OutcomeAdultCesarean SectionCross-Sectional StudiesFemaleGestational Weight GainHumansIndonesiaInfant, NewbornParityPregnancyRisk FactorsBishop scorelabor inducedobesity maternalpregnancy outcome

Identifiers

PMID41914186
PMCPMC13140862

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Registered trials

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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.