Evidence map›Paper›PMID 36246931›Full record

ArticleFrontiers in endocrinology2022

Magnetic resonance imaging of the supra-cervical fetal membrane detects an increased risk of prelabor rupture of membranes.

Wenxu Qi, Peinan Zhao, Wei Wang, Zichao Wen, Zhexian Sun, Wenjie Wu, Pamela Karen Woodard, Qing Wang, Robert C McKinstry, Yong Wang

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Review
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

10 authors at 3 institutions in 2 countries.

Wenxu QiDepartment of Radiology, Shengjing Hospital of China Medical University, Shenyang, China.
Peinan ZhaoThe Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Wei WangMallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Zichao WenThe Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Zhexian SunThe Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Wenjie WuThe Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Pamela Karen WoodardMallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Qing WangMallinckrodt Institute of Radiology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Robert C McKinstrySchool of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Yong WangThe Departments of Obstetrics and Gynecology, School of Medicine, Washington University in St. Louis, St. Louis, MO, United States.
Washington University in St. Louis · USMallinckrodt (United States) · USChina Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: In 10% of term deliveries and 40% of preterm deliveries, the fetal membrane (FM) ruptures before labor. However, the ability to predict these cases of premature rupture of membranes (PROM) and preterm premature rupture of membranes (PPROM) is very limited. In this paper, our objective was to determine whether a prediction method based on T2 weighted magnetic resonance imaging (MRI) of the supra-cervical FM could predict PROM and PPROM. Methods: This prospective cohort study enrolled 77 women between the 28th and 37th weeks of gestation. Two indicators of fetal membrane defects, including prolapsed depth >5 mm and signal abnormalities, are investigated for our prediction. Fisher's exact test was used to determine whether prolapsed depth >5 mm and/or signal abnormalities were associated with PROM and PPROM. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated for prolapsed depth >5 mm, signal abnormalities, and the combination of prolapsed depth >5 mm and signal abnormalities. Result: Among 12 women with PROM (5 preterm and 7 term, prior to labor onset), 9 had membrane prolapse >5 mm and 5 had FM signal abnormalities. Among 65 women with rupture of membranes at term, 2 had membrane prolapse >5 mm and 1 had signal abnormalities. By Fisher's exact test both indicators, membrane prolapse >5 mm and signal abnormalities, were associated with PROM (P<0.001, P<0.001) and PPROM (P=0.001, P<0.001). Additionally, membrane prolapse >5 mm, signal abnormalities, and the combination of the two indicators all demonstrated high specificity for predicting PROM (96.9%, 98.5%, and 100%, respectively) and PPROM (90.3%, 97.2%, and 100%, respectively). Conclusion: MRI can distinguish the supra-cervical fetal membrane

Indexed as

Premature Rupture of Fetal MembranesExtraembryonic MembranesFemaleHumansInfant, NewbornMagnetic Resonance ImagingPregnancyProlapseProspective Studiesfetal membranemagnetic resonance imagingprelabor rupture of membranespreterm birthpreterm prelabor rupture of membranes

Identifiers

PMID36246931
PMCPMC9559212
OpenAlexW4297997094

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.