ArticleBMC women's health2023
Establishment and validation of a simple nomogram for predicting early postpartum stress urinary incontinence among women with vaginal delivery: a retrospective study.
Article in BMC women's health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.
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Who cites it
15 citing papers in PubMed, 1 synthesis or guideline pooled it, 20 citations in OpenAlex.
- Risk Prediction Models for Stress Urinary Incontinence in Pregnant and Postpartum Women: A Systematic Review and Critical Appraisal.BJOG : an international journal of obstetrics and gynaecology · 2025Pooled it
- Analysis of the Multifactorial Risks of Postpartum Urinary Incontinence: A Systematic Review.Healthcare (Basel, Switzerland) · 2026Review
- Prediction of risk factors for postpartum stress urinary incontinence based on pelvic floor ultrasound combined with clinical information.SAGE open medicine · 2026Article
- Logistic regression versus C5.0 decision tree in predicting female stress urinary incontinence risk using clinical and pelvic floor ultrasound data: a model development and validation study.BMC women's health · 2025Article
- Relationship Between A Body Shape Index and Self-Reported Stress Urinary Incontinence Among US Women: A Cross-Sectional Analysis.International urogynecology journal · 2025Article
- Development and validation of a risk prediction model for postpartum urinary incontinence in primiparas using clinical and pelvic floor ultrasound characteristics.Frontiers in medicine · 2025Article
- Development of a psychosocial-clinical nomogram to predict delayed medical help-seeking in women with stress urinary incontinence: a retrospective cohort study.Frontiers in medicine · 2025Article
- Association between SMAD3 and SMAD7 gene polymorphisms and susceptibility to stress urinary incontinence in Chinese women.American journal of translational research · 2025Article
- Establishment and validation of a clinical prediction model for predicting early postpartum pelvic floor muscle weakness among primiparous women after vaginal delivery: a retrospective study.Frontiers in medicine · 2025Article
- Article
- Development and external validation of clinical predictive model for stress urinary incontinence in Chinese women : a multicenter retrospective study.BMC women's health · 2024Article
- Development and Validation of a Risk Prediction Model for Female Stress Urinary Incontinence in Rural Fujian, China.Risk management and healthcare policy · 2024Article
- Risk factors and prediction model for low-birth-weight infants born to women with gestational diabetes mellitus.Frontiers in public health · 2024Article
- Incidence, duration, and related factors of urinary incontinence in women after childbirth: a systematic review.Revista da Associacao Medica Brasileira (1992) · 2024Article
- Article
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundStress urinary incontinence (SUI) is a common public health issue that negatively impacts the quality of life for women worldwide, of which early detection and rehabilitation are consequently pivotal. The aim of this study is to establish a simple nomogram for identifying women at risk of postpartum SUI.
methodsA retrospective study was conducted in a tertiary specialized hospital in Shanghai, China. The study included only women with singleton, full-term, and vaginal deliveries. 2,441 women who delivered from July 2019 to November 2019 were included in the training cohort, and 610 women who delivered from January 2022 to February 2022 were included in the validation cohort. SUI was determined by the International Consultation on Incontinence Questionnaire-Urinary Incontinence Short Form (ICIQ-UI-SF). Univariate and multifactorial logistical regression were used to identify independent risk factors for postpartum SUI and further construct the nomogram accordingly. Based on concordance statistics (C-statistics), calibration curves, and decision curve analyses, we evaluated the performance of the nomogram in the training cohort and the validation cohort. In addition, the model was validated internally in the training cohort through cross-validation.
resultsThere were no significant statistically differences in important baseline data such as age, pre-pregnancy BMI, and parity between the training and validation cohorts. SUI was observed in 431 (17.6%) and 125 (20.5%) women in the training and validation cohorts, respectively. According to the regression analysis, age, parity, second stage of labor, infant weight, and forceps delivery were included in the nomogram. The nomogram had a C-statistic of 0.80 (95% confidence interval [CI] 0.74-0.85) for predicting SUI. C-statistics were stable in both internally cross-validated training cohort (mean 0.81) and validation cohort (0.83 [95% CI 0.79-0.87]). The nomogram's calibration curve was near the ideal diagonal line. Additionally, the model exhibited a positive net benefit from the decision curve analysis.
conclusionWe have created a nomogram that can be utilized to quantify the risk of postpartum SUI for women with vaginal delivery. The model might contribute to predicting early postpartum SUI, thereby facilitating the management of SUI.
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