Evidence map›Paper›PMID 33952555›Full record

ArticleBMJ open2021

Factors predicting successful vaginal birth after caesarean section: protocol for evidence-based consensus recommendations using a Delphi survey.

Weiying Zhu, Ling Ai, Ying Feng, Haiyan Yuan, Yu Wang, Meitang Wang, Zubing Mei

Abstract readConsensus Statement
In one paragraph

Article in BMJ open, 2021. 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
–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

2 citing papers in PubMed.

  1. Article
  2. 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

7 authors.

Weiying ZhuDepartment of Obstetric, Maternity and Child Health Care Affiliated Hospital,Jiaxing University, Jiaxing, China.
Ling Ai *Department of Obstetric, Maternity and Child Health Care Affiliated Hospital,Jiaxing University, Jiaxing, China 13736836830@163.com herrmayor@126.com.
Ying FengDepartment of Obstetric, Maternity and Child Health Care Affiliated Hospital,Jiaxing University, Jiaxing, China.
Haiyan YuanDepartment of Obstetric, Maternity and Child Health Care Affiliated Hospital,Jiaxing University, Jiaxing, China.
Yu WangScience and Education Division, Maternity and Child Health Care Affiliated Hospital,Jiaxing University, Jiaxing, China.
Meitang WangEmergency Department, Changhai Hospital, Navy Medical University, Shanghai, China.
Zubing Mei *Department of Anorectal Surgery, Shuguang Hospital Affiliated to Shanghai University of Traditional Chinese Medicine, Shanghai, China 13736836830@163.com herrmayor@126.com.ORCID 0000-0001-6823-7205

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionWith the wide adoption of the two-child policy in China since 2016, a large percentage of women with a history of caesarean delivery plan to have a second child. Accordingly, the rate of vaginal birth after caesarean (VBAC) delivery is increasing. Women attempting repeat VBAC may experience multiple morbidities, which is also one of the leading causes of maternal and perinatal mortality. However, it remains to be addressed how we evaluate factors for successful VBAC. This study aims to use a novel approach to identify a set of potential predictive factors for successful VBAC, especially for Chinese women, to be included in prediction models which can be most applicable to pregnant women in China. We plan to assess all potential predictive factors collected through a comprehensive literature review. Then the certainty of the evidence for the identified potential predictive factors will be assessed using the Grading of Recommendations Assessment, Development and Evaluation process. Finally, a two-round international Delphi survey will be conducted to determine the level of consensus. METHODS AND ANALYSIS: This study will apply a methodology through an evidence-based approach. A long list of potential predictive factors for successful VBAC will be extracted and identified through the following stages: First, an up-to-date systematic review of the published literature will be conducted to extract identified potential predictive factors for successful VBAC. Second, an online Delphi survey will be performed to achieve expert consensus on which factors should be included in future prediction models. The online questionnaires will be developed in the field of patient, maternal and fetal-related factors. A two-round international Delphi survey will be distributed to the expert panel in the field of perinatal medicine using Google Forms. Experts will be asked to score each factor using the 9-point Likert rating scale to establish potential predictive factors for the successful VBAC. The expert panel will determine on whether to include, potentially include or exclude predictive factors, based on a systematic review of clinical evidence and the Delphi method. ETHICS AND DISSEMINATION: The study was approved by the Institutional Review Board of the Jiaxing Maternity and Children Healthcare Hospital (approval number: 2019-79). The results of this study will be submitted to international peer-reviewed journals or conferences in perinatal medicine or obstetrics.

Indexed as

Vaginal Birth after CesareanCesarean SectionChildChinaConsensusFemaleHumansPregnancySurveys and QuestionnairesSystematic Reviews as Topicobstetricspreventive medicineprotocols & guidelines

Identifiers

PMID33952555
PMCPMC8103394

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.