Evidence map›Paper›PMID 39074807›Full record

ArticleAmerican journal of perinatology2025

Fetal and Maternal Factors Predictive of Primary Cesarean Delivery at Term in a Low-Risk Population: NICHD Fetal Growth Studies-Singletons.

Julio Mateus, Danielle R Stevens, Katherine L Grantz, Cuilin Zhang, Jagteshwar Grewal, William A Grobman, John Owen, Anthony C Sciscione, Ronald J Wapner, Daniel Skupski and 5 more

Abstract read
In one paragraph

Article in American journal of perinatology, 2025. 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

15 authors.

Julio MateusDivision of Maternal-Fetal Medicine, Atrium Health, Charlotte, North Carolina.ORCID 0000-0001-6886-4807
Danielle R StevensDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Katherine L GrantzDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Cuilin ZhangGlobal Center for Asian Women's Health and the Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Jagteshwar GrewalDivision of Population Health Research, Division of Intramural Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
William A GrobmanDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, The Ohio State University College of Medicine, Columbus, Ohio.
John OwenDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Center for Women's Reproductive Health, Birmingham, Alabama.
Anthony C SciscioneDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Christiana Hospital, Newark, Delaware.
Ronald J WapnerDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Columbia University Irving Medical Center, New York, New York.
Daniel SkupskiDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, New York Presbyterian Queens, Flushing, New York and Weill Cornell Medicine, New York, New York.
Edward ChienDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, Cleveland Clinic Health System, Cleveland, Ohio.
Deborah A WingDivision of Maternal-Fetal Medicine, Department of Obstetrics and Gynecology, University of California, Irvine, and Long Beach Memorial Medical Center/Miller Children's Hospital Irvine, California.
Angela C RanziniDepartment of Obstetrics and Gynecology. The MetroHealth System, Cleveland, Ohio; Case Western Reserve University, MetroHealth Medical Center, Cleveland, Ohio.
Michael P NageotteMaternal-Fetal medicine Specialist, Miller Children's and Women's Hospital, Long Beach, California.
Roger B NewmanDivision of Maternal-Fetal Medicine, Medical University of South Carolina, Charleston, South Carolina.

Funding

The National Standard for Normal Fetal GrowthZIAHD008852 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI GRANTZ, KATHERINE · 2009 to 2025
$5.6M
Federal Funds for the NICHD Fetal Growth Studies including ARRA funding HHSN27500006Federal Funds for the NICHD Fetal Growth Studies including ARRA funding HHSN275200800003ICIntramural NIH HHS ZIA HD008852NICHD NIH HHS HHSN275200800002CNICHD NIH HHS HHSN275200800002INICHD NIH HHS HHSN275200800003CNICHD NIH HHS HHSN275200800003INICHD NIH HHS HHSN275200800012CNICHD NIH HHS HHSN275200800013CNICHD NIH HHS HHSN275200800014CNICHD NIH HHS HHSN275200800028CNICHD NIH HHS HHSN275201000009C
6 · The paper itself

Abstract

objectiveThis study aimed to examine associations of fetal biometric and amniotic fluid measures with intrapartum primary cesarean delivery (PCD) and develop prediction models for PCD based on ultrasound parameters and maternal factors. STUDY

designSecondary analysis of the National Institute of the Eunice Kennedy Shriver National Institute of Child Health and Human Development (NICHD) Fetal Growth Studies-singleton cohort (2009-2013) including patients with uncomplicated pregnancies and intent to deliver vaginally at ≥37

resultsOf the 1,668 patients analyzed, 249 (14.9%) had PCD. The fetal head circumference, occipital-frontal diameter, and transverse abdominal diameter >90th percentile (adjusted odds ratio [aOR] = 2.50, 95% confidence interval [95% CI]: 1.39, 4.51; aOR = 1.86, 95% CI: 1.02, 3.40; and aOR = 2.13, 95% CI: 1.16, 3.89, respectively) were associated with PCD. The fetal model demonstrated poor ability to predict PCD in the full cohort and in nulliparous patients (area under the receiver-operating characteristic curve [AUC] = 0.56, 95% CI: 0.52, 0.61; and AUC = 0.54, 95% CI: 0.49, 0.60, respectively). Conversely, the maternal model had better predictive capability overall (AUC = 0.79, 95% CI: 0.75, 0.82) and in the nulliparous subgroup (AUC = 0.72, 95% CI: 0.67, 0.77). Models combining maternal/fetal factors performed similarly to the maternal model (AUC = 0.78, 95% CI: 0.75, 0.82 in full cohort, and AUC = 0.71, 95% CI: 0.66, 0.76 in nulliparas).

conclusionAlthough a few fetal biometric parameters were associated with PCD, the fetal prediction model had low performance. In contrast, the maternal model had a fair-to-good ability to predict PCD. KEY POINTS: · Fetal HC >90th percentile was associated with cesarean delivery.. · Fetal parameters did not effectively predict PCD.. · Maternal factors were more predictive of PCD.. · Maternal/fetal and maternal models performed similarly.. · Prediction models had lower performance in nulliparas..

Indexed as

Cesarean SectionFetal DevelopmentFetal WeightNational Institute of Child Health and Human Development (U.S.)Ultrasonography, PrenatalAdultAmniotic FluidBiometryFemaleGestational AgeHumansInfant, NewbornLogistic ModelsParityPregnancyROC Curve

Identifiers

PMID39074807
PMCPMC11693481

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

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.