Evidence map›Paper›PMID 35240706›Full record

ArticleAmerican journal of perinatology2024

Fetal Growth Biometry as Predictors of Shoulder Dystocia in a Low-Risk Obstetrical Population.

Roger B Newman, Danielle R Stevens, Kelly J Hunt, William A Grobman, John Owen, Anthony Sciscione, Ronald J Wapner, Daniel Skupski, Edward K Chien, Deborah A Wing and 3 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in American journal of perinatology, 2024. 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
0.4field-weighted citation impact, top 40% of its field
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, 2 citations in OpenAlex.

  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

13 authors at 11 institutions in 1 country.

Roger B NewmanDepartment of Obstetrics and Gynecology, Medical University of South Carolina, Charleston, South Carolina.
Danielle R StevensDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
Kelly J HuntDepartment of Public Health Sciences, Medical University of South Carolina, Charleston, South Carolina.
William A GrobmanDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, Chicago, Illinois.
John OwenDepartment of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, Alabama.
Anthony SciscioneDepartment of Obstetrics and Gynecology, Christiana Health Care Center, Wilmington, Delaware.
Ronald J WapnerDepartment of Obstetrics and Gynecology, Columbia University Medical Center, New York, New York.
Daniel SkupskiDepartment of Obstetrics and Gynecology, New York Presbyterian Queens, Flushing, New York.
Edward K ChienDepartment of Obstetrics and Gynecology, Case Western Reserve University, Metro Health Medical Center, Cleveland, Ohio.
Deborah A WingDepartment of Obstetrics and Gynecology, University of California, Irvine; Orange, California.
Angela C RanziniDepartment of Obstetrics and Gynecology, Case Western Reserve University, Metro Health Medical Center, Cleveland, Ohio.
Manuel PortoDepartment of Obstetrics and Gynecology, University of California, Irvine; Orange, California.
Katherine L GrantzDivision of Intramural Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, Bethesda, Maryland.
Medical University of South Carolina · USChristiana Care Health System · USColumbia University Irving Medical Center · USMetroHealth Medical Center · USNational Institutes of Health · USNew York Hospital Queens · USNorthwestern University · USSaint Peter's University Hospital · USUniversity of Alabama at Birmingham · USUniversity of California, Irvine · USValley Regional Hospital · US

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
Intramural NIH HHS Z99 HD999999Intramural 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 evaluate fetal biometrics as predictors of shoulder dystocia (SD) in a low-risk obstetrical population. STUDY

designParticipants were enrolled as part of a U.S.-based prospective cohort study of fetal growth in low-risk singleton gestations (

resultsA total of 1,691 women (98.7%) had an uncomplicated vaginal delivery, while 23 (1.3%) experienced SD. There were no differences in sociodemographic or maternal anthropometrics between groups. Epidural anesthesia use was significantly more common (100 vs. 82.4%;

conclusionOther than epidural anesthesia use, neither sociodemographic nor maternal anthropometrics were significantly associated with SD in this low-risk population. Both individually and in combination, fetal biometrics had limited ability to predict SD and lack clinical usefulness. KEY POINTS: · SD unpredictable in low-risk women.. · Fetal biometry does not reliably predict SD.. · Epidural use associated with increased SD risk.. · SD prediction models clinically inefficient..

Indexed as

BiometryFetal DevelopmentShoulder DystociaAdultAnesthesia, EpiduralFemaleFetal WeightGestational AgeHumansLogistic ModelsPredictive Value of TestsPregnancyProspective StudiesUltrasonography, PrenatalYoung Adult

Identifiers

PMID35240706
PMCPMC9627645
OpenAlexW4214911122

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.