Evidence map›Paper›PMID 31200392›Full record

ArticleAmerican journal of perinatology2019

The Impact of Fetal Anomalies on Contemporary Labor Patterns.

Anna C McCormick, Jennifer J McIntosh, Weihua Gao, Judith U Hibbard, Meredith O Cruz

Abstract readComparative StudyMulticenter Study
In one paragraph

Article in American journal of perinatology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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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

5 authors.

Anna C McCormickDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Jennifer J McIntoshDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Weihua GaoDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Judith U HibbardDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin.
Meredith O CruzDivision of Maternal Fetal Medicine, Department of Obstetrics and Gynecology, Medical College of Wisconsin, Milwaukee, Wisconsin.

Funding

Novel role for placental endothelial mitochondria in preeclampsiaK08HL150340 · NHLBI · MEDICAL COLLEGE OF WISCONSIN · PI MCINTOSH, JENNIFER J · 2020 to 2024
$754k
NHLBI NIH HHS K08 HL150340
6 · The paper itself

Abstract

objectiveTo compare labor patterns in pregnancies affected by fetal anomalies to low-risk singletons. STUDY

designLabor data from the Consortium on Safe Labor, a multicenter retrospective study from 19 U.S. hospitals, including 98,674 low-risk singletons compared with 6,343 pregnancies with fetal anomalies were analyzed. Repeated-measures analysis constructed mean labor curves by parity, gestational age, and presence of fetal anomaly in women who reached full dilation. Interval-censored regression analysis adjusted for covariables was used to determine the median traverse times for labor progression.

resultsLabor curves for all groups indicated slower labor progress for patients with fetal anomalies. The most significant trends in median traverse times were observed in the preterm nulliparous and term multiparous groups. The median traverse times from 4 cm to complete dilation in the preterm nulliparous control versus anomaly groups were 5.0 and 5.4 hours (

conclusionLabor proceeds at a slower rate in pregnancies affected by anomalies.

Indexed as

Congenital AbnormalitiesAdultCesarean SectionFemaleFetusHumansLabor, ObstetricPregnancyRegression AnalysisTime FactorsYoung Adult

Identifiers

PMID31200392
PMCPMC7539907

What OpenQuestion holds

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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.