Evidence map›Paper›PMID 31129593›Full record

ArticleBMJ open2019

Predicting the success of vaginal birth after caesarean delivery: a retrospective cohort study in China.

Yun-Xiu Li, Zhi Bai, Da-Jian Long, Hai-Bo Wang, Yang-Feng Wu, Kathleen H Reilly, Su-Ran Huang, Yan-Jie Ji

Abstract readMulticenter Study
In one paragraph

Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed, 5 pooled it
–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

24 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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  20. Development and Validation of Predictive Models for Vaginal Birth After Cesarean Delivery in China.Medical science monitor : international medical journal of experimental and clinical research · 2020
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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

8 authors.

Yun-Xiu LiShenzhen Longhua District Central Hospital, Shenzhen, P.R. China.
Zhi BaiDongguan Tangxia Hospital, Dongguan, P.R. China.
Da-Jian LongDongguan Tangxia Hospital, Dongguan, P.R. China.
Hai-Bo WangProject development and management, Peking University Clinical Research Institute, Beijing, P.R. China.
Yang-Feng WuProject development and management, Peking University Clinical Research Institute, Beijing, P.R. China.
Kathleen H ReillyIndependent Consultant, New York City, New York, USA.
Su-Ran HuangDongguan People's Hospital, Dongguan, P.R. China.
Yan-Jie JiDongguan Tangxia Hospital, Dongguan, P.R. China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo develop a nomogram to predict the likelihood of vaginal birth after caesarean section (VBAC) among women after a previous caesarean section (CS).

designA retrospective cohort study.

settingTwo secondary hospitals in Guangdong Province, China.

participantsInclusion criteria were as follows: pregnant women with singleton fetus, age ≥18 years, had a history of previous CS and scheduled for trial of labour after caesarean delivery (TOLAC). Patients with any of the following were excluded from the study: preterm labour (gestational age <37 weeks), two or more CSs, contradictions for vaginal birth, history of other uterine incision such as myomectomy, and incomplete medical records. PRIMARY OUTCOME MEASURE: The primary outcome was VBAC, which was retrospectively abstracted from computerised medical records by clinical staff.

resultsOf the women who planned for TOLAC, 84.0% (1686/2006) had VBAC. Gestational age, history of vaginal delivery, estimated birth weight, body mass index, spontaneous onset of labour, cervix Bishop score and rupture of membranes were independently associated with VBAC. An area under the receiver operating characteristic curve (AUC) in the prediction model was 0.77 (95% CI 0.73 to 0.81) in the training cohort. The validation set showed good discrimination with an AUC of 0.70 (95% CI 0.60 to 0.79).

conclusionsTOLAC may be a potential strategy for decreasing the CS rate in China. The validated nomogram to predict success of VBAC could be a potential tool for VBAC counselling.

Indexed as

AdultBody Mass IndexChinaCohort StudiesFemaleHumansPregnancyRetrospective StudiesTrial of LaborVaginal Birth after Cesareancesarean sectionChinaprediction modeltrial of labour after cesarean deliveryvaginal birth after cesarean section

Identifiers

PMID31129593
PMCPMC6538023

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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.