Evidence map›Paper›PMID 36055678›Full record

Trial reportThe journal of obstetrics and gynaecology research2022

A predictive nomogram for a failed trial of labor after cesarean: A retrospective cohort study.

Hua Li, Wen Sheng, Min Cai, Qiuling Chen, Beibei Lin, Weishe Zhang, Wenxia Li

Open access · hybridAbstract readRandomized Controlled Trial
In one paragraph

Trial report in The journal of obstetrics and gynaecology research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 2 citations in OpenAlex.

  1. 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

7 authors at 2 institutions in 1 country.

Hua LiDepartment of Obstetrics, Changsha Hospital for Maternal & Child Health Care, Changsha, Hunan Province, China.
Wen ShengDepartment of Obstetrics, Changsha Hospital for Maternal & Child Health Care, Changsha, Hunan Province, China.
Min CaiDepartment of Obstetrics, Changsha Hospital for Maternal & Child Health Care, Changsha, Hunan Province, China.
Qiuling ChenDepartment of Obstetrics, Changsha Hospital for Maternal & Child Health Care, Changsha, Hunan Province, China.
Beibei LinDepartment of Obstetrics, Changsha Hospital for Maternal & Child Health Care, Changsha, Hunan Province, China.
Weishe ZhangDepartment of Obstetrics, Xiangya Hospital Central South University, Hunan, China.
Wenxia LiDepartment of Obstetrics, Changsha Hospital for Maternal & Child Health Care, Changsha, Hunan Province, China.ORCID https://orcid.org/0000-0002-9876-9795
Changsha Hospital for Maternal and Child Health Care · CNCentral South University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimTo validate risk factors and a nomogram prediction model for the failure of a trial of labor after cesarean section (TOLAC) in a Chinese population.

methodsWe included women who tried TOLAC between January 2017 and May 2019, grouped according to the success/failure of TOLAC. The patients were randomized 3:1 into the development and validation sets. Multivariable logistic regression analyses were used to develop a nomogram prediction model for TOLAC failure.

resultsIn total, 535 (86.3%) of the women (n = 620) aged 29-34 years had a successful vaginal birth after cesarean (VBAC). All women had a fully healed previous uterine incision. The univariable analyses showed that the cephalopelvic score (p < 0.001), BMI (p = 0.001), full engagement into the pelvis (p < 0.001), Bishop cervical maturity score (p < 0.001), and estimated fetal weight at admission (p < 0.001) could enter the multivariable model. Furthermore, the multivariable analysis showed that the cephalopelvic score (OR = 0.42, 95%CI: 0.23-0.77, p = 0.005), full engagement in the pelvis (OR = 0.16, 95%CI: 0.08-0.33, p < 0.001), and Bishop cervical maturity score (OR = 0.46, 95%CI: 0.35-0.59, p < 0.001) were independent predictors of the failure of TOLAC.

conclusionThis study proposes a nomogram that can assess the risk of failure of TOLAC in Chinese pregnant women. The statistical model could help clinicians know the likelihood of successful TOLAC in the clinical setting.

Indexed as

Trial of LaborVaginal Birth after CesareanCesarean SectionFemaleHumansNomogramsPregnancyRetrospective Studiescesarean sectionnomogrampredictiontrial of labor after a cesareanvaginal birth

Identifiers

PMID36055678
PMCPMC9825937
OpenAlexW4294543763

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.