Evidence map›Paper›PMID 41727926›Full record

ArticleO&G open2026

Oxytocin Dosing Intensity and Labor Induction Outcomes by Maternal Body Mass Index.

Rebecca M Cohen, Chelsea A DeBolt, Zhan Zhao, Sara Edwards, Katharine J McCarthy, Angela Bianco, Luciana Vieira, Ana Capi, Kimberly B Glazer

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in O&G open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

9 authors.

Rebecca M CohenIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Chelsea A DeBoltIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Zhan ZhaoIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Sara EdwardsIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Katharine J McCarthyIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Angela BiancoIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Luciana VieiraIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Ana CapiIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.
Kimberly B GlazerIcahn School of Medicine at Mount Sinai, New York, New York; Department of Obstetrics, Gynecology and Reproductive Science and Department of Population Health Science and Policy, Icahn School of Medicine at Mount Sinai, New York, New York; and Department of Obstetrics and Gynecology and Department of Biostatistics, Epidemiology and Informatics, University of Pennsylvania Perelman School of Medicine, Philadephia, Pennsylvania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine associations between oxytocin dosing intensity and maternal outcomes-cesarean delivery and postpartum hemorrhage (PPH)-by body mass index (BMI).

methodsThis retrospective cohort study included singleton births from 2013 to 2022 at a large tertiary hospital among individuals receiving oxytocin for labor induction. Delivery BMI was classified as normal weight (18.5-24.9), overweight (25-29.9), class I-II obesity (30-39.9), and class III obesity (40 or above). Maximum oxytocin dose rate (milliunits per minute) was categorized into quartiles. Modified Poisson regression models, stratified by BMI, estimated risk ratios (RRs) for cesarean delivery and PPH, with adjustment for oxytocin exposure duration, insurance, maternal age, parity, gestational comorbidities, cervical status, gestational age, fetal sex, and birth weight.

resultsAmong 20,215 deliveries, 16.9% were to individuals with normal weight, 43.1% to individuals with overweight, 35.1% to individuals with class I-II obesity, and 4.9% to individuals with class III obesity. Maximum oxytocin dose and exposure duration increased with BMI. Individuals in the highest oxytocin quartile (more than 18 milliunits/min) had elevated risk of cesarean delivery and PPH compared with individuals in the lowest two quartiles; associations were partially attenuated after adjustment. Risks associated with highest-quartile dosing were greater for those with normal weight (adjusted RR for cesarean delivery 1.8 [95% CI, 1.5-2.2]; PPH 3.0 [95% CI, 1.7-5.4]) than for those with obesity (cesarean delivery 1.2 [95% CI, 1.0-1.5], class III; PPH 1.6 [95% CI, 1.2-2.0], any class). Among individuals with overweight or obesity, third-quartile dosing was not associated with increased PPH risk.

conclusionElevated BMI was associated with greater oxytocin requirements, but risks associated with increased dosing were attenuated in individuals with higher BMI. Tailored dosing strategies may improve labor efficacy and maternal safety.

Identifiers

PMID41727926
PMCPMC12919741

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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.