Evidence map›Paper›PMID 31876717›Full record

ArticleMedicine2019

Verification a model of predicting vaginal birth after cesarean delivery in Chinese pregnant women.

Ping Xu, Ying Feng, Huaxiang Shen, Jing Luo, Yueping Tao

Open access · goldAbstract read
In one paragraph

Article in Medicine, 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
1.8field-weighted citation impact, top 14% 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

4 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
  2. Article
  3. 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
    Article
  4. 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

5 authors at 1 institution in 1 country.

Ping XuDepartment of Obstetrics, Jiaxing Maternity and Child Health Care Hospital, Jiaxing, Zhejiang, China.
Ying Feng
Huaxiang Shen
Jing Luo
Yueping Tao
Creative Commons · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The objective of our research was to confirm the prediction role of Grobman model for vaginal birth after cesarean (VBAC) in Chinese pregnant women. In this research, 535 pregnant who had once cesarean delivery and the least once subsequent try to a vaginal labor in Jiaxing of China were involved. The Grobman background factors and five new factors were included. Overall, in total of 456 women had successful VBAC, the success percent was 85.2%. The new background variable "maternal height" was considered as an additional predictor for VBAC. The Grobman model's area under the curve (AUC) was 0.811 (95% CI = 0.751-0.870) and the AUC of this modified model combined 2 new factors was 0.834 (95% CI = 0.781-0.886). Nevertheless, there has no markedly difference between these 2 models of the AUC. In conclusion, the Grobman model was suitable for Chinese pregnant. However, further improvements were needed to make a new predictive model of VBAC success rate for Chinese pregnant women through analyzing the clinical data of vaginal trial delivery after cesarean section.

Indexed as

AdultAge FactorsBody Mass IndexCesarean SectionChinaFemaleGestational AgeHumansLogistic ModelsModels, StatisticalPregnancyReproducibility of ResultsRetrospective StudiesROC CurveVaginal Birth after Cesarean

Identifiers

PMID31876717
PMCPMC6946503
OpenAlexW2998092940

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

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.