Evidence map›Paper›PMID 31711470›Full record

ArticleBMC women's health2019

Development and internal validation of a Nomogram for preoperative prediction of surgical treatment effect on cesarean section diverticulum.

Yizhi Wang, Qinyi Zhu, Feikai Lin, Li Xie, Jiarui Li, Xipeng Wang

Open access · goldAbstract readValidation Study
In one paragraph

Article in BMC women's health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.4field-weighted citation impact, top 32% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Trial
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  6. Observational
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

6 authors at 3 institutions in 1 country.

Yizhi WangDepartment of Gynecology & Obstetrics, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China.
Qinyi ZhuShanghai first maternity and infant health institute, Shanghai, China.
Feikai LinDepartment of Gynecology & Obstetrics, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Li XieClinical Statistics Center, Fudan University Shanghai Cancer Center, Shanghai, China.
Jiarui LiDepartment of Gynecology & Obstetrics, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China. jiareli@163.com.
Xipeng WangDepartment of Gynecology & Obstetrics, Xinhua Hospital affiliated to Shanghai Jiao Tong University School of Medicine, 1665 Kong Jiang Road, Shanghai, 200092, China. wangxipeng@xinhuamed.com.cn.ORCID 0000-0002-3352-1684
Shanghai Jiao Tong University · CNFudan University Shanghai Cancer Center · CNShanghai First Maternity and Infant Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study was to develop and validate an individualized score based on preoperative parameters to predict patient outcomes after vaginal repair of cesarean section diverticulum.

methodsThis is a retrospective cohort study (Canadian Task Force classification II-2). Patients were enrolled between Jun 11, 2012, to May 27, 2016. Multivariable logistic regression analyses were used to construct the predictive model. Then, we generated a nomogram to assess the individualized risk of poor prognosis after operation. This prediction model included information from 167 eligible patients diagnosed with cesarean section diverticulum who underwent vaginal repair. Class-A healing group was defined as CSD patients who had menstruation duration of no more than 7 days and a thickness of the remaining muscular layer of no less than 5.8 mm after vaginal repair according to conferences. Others were included in the non-class-A healing group. A final nomogram was computed using a multivariable logistic regression model.

resultsThe factors contained in the individualized prediction nomogram included the depth/ the thickness of the remaining muscular layer ratio, number of menstruation days before surgery, White blood cell and fibrinogen. This model demonstrated adequate discrimination and calibration (C-index = 0.718). There was a significant difference in the number of postmenstrual spotting days (12.98 ± 3.86 VS 14.46 ± 2.86, P = 0.022) and depth/ the thickness of the remaining muscular layer ratio (2.81 ± 1.54 VS 4.00 ± 3.09, P = 0.001) between two groups. Decision curve analysis showed that this nomogram was clinically useful.

conclusionsThis cesarean section diverticulum score can predict the outcomes of cesarean section diverticulum and can be useful for counseling patients who are making treatment decisions.

Indexed as

NomogramsAdultCesarean SectionDiverticulumFemaleGynecologic Surgical ProceduresHumansLogistic ModelsMenstruationMetrorrhagiaMiddle AgedPostoperative ComplicationsPredictive Value of TestsPregnancyPreoperative PeriodPrognosisCesarean scar defectCesarean section diverticulaNomogramThickness of remaining muscular layerVaginal repair

Identifiers

PMID31711470
PMCPMC6849201
OpenAlexW2984359232

What OpenQuestion holds

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LicenceCC BY
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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.