Evidence map›Paper›PMID 39334141›Full record

ArticleBMC women's health2024

Development and external validation of clinical predictive model for stress urinary incontinence in Chinese women : a multicenter retrospective study.

Dan Zhang, Min Zhou, Mingya Zhang, Youfang Zhang, Donghui Wu, Ruijuan Weng, Min Tang, Zvikomborero Panashe Rejoice Munemo, Hongxiu Zhang

Abstract readMulticenter StudyValidation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in BMC women's health, 2024. 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
–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

3 citing papers in PubMed.

  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

9 authors.

Dan ZhangDepartment of Obstetrics and Gynecology, Dianshan Lake People's Hospital of Kunshan, No.1288 Xinle Road, Kunshan, Jiangsu, 215300, China.
Min ZhouDepartment of Urology, Dianshan Lake People's Hospital of Kunshan, No.1288 Xinle Road, Kunshan, Jiangsu, 215300, China.
Mingya ZhangState key Laboratory for Novel Software Technology, Nanjing University, No. 163 Xianlin Road,Qixia District, Nanjing, Jiangsu, 210029, China.
Youfang ZhangDepartment of Obstetrics and Gynecology, Bacheng People's Hospital of Kunshan, No.2139 Zhuchongzhi Road, Kunshan, Jiangsu, 215300, China.
Donghui WuDepartment of Obstetrics and Gynecology, Dianshan Lake People's Hospital of Kunshan, No.1288 Xinle Road, Kunshan, Jiangsu, 215300, China.
Ruijuan WengDepartment of Obstetrics and Gynecology, Bacheng People's Hospital of Kunshan, No.2139 Zhuchongzhi Road, Kunshan, Jiangsu, 215300, China.
Min TangDepartment of Urology, the First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China.
Zvikomborero Panashe Rejoice MunemoDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China.
Hongxiu ZhangDepartment of Obstetrics and Gynecology, the First Affiliated Hospital of Nanjing Medical University, No. 300 Guangzhou Road, Nanjing, Jiangsu, 210029, China. hongxiuz@njmu.edu.cn.

Funding

Dianshan Lake People's Hospital of Kunshan KSZ2348
6 · The paper itself

Abstract

backgroundStress urinary incontinence (SUI), the prevalent form of urinary incontinence, significantly impairs women's quality of life. This study aims to create a visual nomogram to estimate the risk of SUI within one year postpartum for early intervention in high-risk Chinese women.

methodsWe recruited 1,531 postpartum women who gave birth at two hospitals in Kunshan City from 2021 to 2022. Delivery details were meticulously extracted from the hospitals' medical records system, while one-year postpartum follow-ups were conducted via phone surveys specifically designed to ascertain SUI status. Utilizing data from one hospital as the training set, logistic regression analysis was performed to pinpoint significant factors and subsequently construct the nomogram. To ensure robustness, an independent dataset sourced from the second hospital served as the external validation cohort. The model's performance was rigorously evaluated using calibration plots, ROC curves, AUC values, and DCA curves.

resultsThe study population was 1,125 women. The SUI incidence within one year postpartum was 26% (293/1125). According to the regression analysis, height, pre-pregnancy BMI, method of induction, mode of delivery, perineal condition, neonatal weight, SUI during pregnancy, and SUI during the first pregnancy were incorporated into the nomogram. The AUC of the nomogram was 0.829 (95% CI 0.790-0.867), and the external validation set was 0.746 (95% CI 0.689-0.804). Subgroup analysis based on parity showed good discrimination. The calibration curve indicated concordance. The DCA curve showed a significant net benefit.

conclusionDrawing from real-world data, we have successfully developed an SUI predictive model tailored for postpartum Chinese women. Upon successful external validation, this model holds immense potential as an effective screening tool for SUI, enabling timely interventions and ultimately may improve women's quality of life.

Indexed as

NomogramsUrinary Incontinence, StressAdultChinaEast Asian PeopleFemaleHumansIncidencePostpartum PeriodPregnancyQuality of LifeRetrospective StudiesRisk AssessmentRisk FactorsExternal validationPrediction modelStress urinary incontinence

Identifiers

PMID39334141
PMCPMC11430263

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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.