ArticleInternational urogynecology journal2022
Establishment and validation of a risk prediction model for postpartum stress urinary incontinence based on pelvic floor ultrasound and clinical data.
Article in International urogynecology journal, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 2 of them syntheses that pooled it.
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Who cites it
18 citing papers in PubMed, 2 syntheses or guidelines pooled it, 17 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
- Application of artificial intelligence to ultrasound imaging for benign gynecological disorders: systematic review.Ultrasound in obstetrics & gynecology : the official journal of the International Society of Ultrasound in Obstetrics and Gynecology · 2025Pooled it
- Efficacy of Warm Acupuncture Therapy Combined with Kegel Exercise on Postpartum Pelvic Floor Dysfunction in Women.International urogynecology journal · 2024Trial
- Utility of ultrasound-based nomogram for predicting postpartum pelvic floor dysfunction: stress urinary incontinence and cystocele.Abdominal radiology (New York) · 2026Article
- Development of an interpretable machine learning model for predicting stress urinary incontinence following the delivery of a first child.BMC pregnancy and childbirth · 2026Article
- Risk Factors and Nomogram for Postpartum Myofascial Pelvic Pain: A Prospective Cohort Study.Journal of pain research · 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
- Development and Validation of Machine Learning Models for Risk Prediction of Postpartum Stress Urinary Incontinence: A Prospective Observational Study.International urogynecology journal · 2025Observational
- Machine-Learning-Based Predictive Model for Bothersome Stress Urinary Incontinence Among Parous Women in Southeastern China.International urogynecology journal · 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
- Epidural Anesthesia and Pelvic Floor Outcomes in Primiparas: A Retrospective Transperineal Ultrasound Study.International urogynecology journal · 2025Article
- Clinical efficacy of electroacupuncture on pelvic floor function in women with stress urinary incontinence: a randomized sham-controlled trial protocol.Frontiers in global women's health · 2025Article
- An optimized deep learning model based on transperineal ultrasound images for precision diagnosis of female stress urinary incontinence.Frontiers in medicine · 2025Article
- Article
- Development and Validation of a Risk Prediction Model for Female Stress Urinary Incontinence in Rural Fujian, China.Risk management and healthcare policy · 2024Article
- Knowledge, attitudes, and practice of pelvic floor dysfunction and pelvic floor ultrasound among women of childbearing age in Sichuan, China.Frontiers in public health · 2023Article
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Corrections and comments
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Authors and funding
2 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introduction and hypothesisThis study aimed to establish a risk prediction model for postpartum stress urinary incontinence (SUI) based on pelvic floor ultrasound measurement data and certain clinical data.
methodsSingleton pregnant women aged ≥ 18 years who underwent delivery were selected. All participants were followed up to determine the symptoms of SUI, and pregnancy-related data were collected at the time of registration. Pelvic floor ultrasound was performed at 6-12 weeks postpartum to obtain ultrasonic measurement data. Logistic regression analysis was used to select predictors and establish a nomogram to predict the risk of postpartum SUI. Area under the ROC curve (AUC) values and calibration curves were used for discrimination and calibration, respectively. Finally, external verification of the model was carried out.
resultsA total of 255 participants were included in the analysis, comprising 105 in the postpartum SUI group and 150 in the non-SUI group. Logistic regression analysis identified age, parity, vaginal delivery, bladder neck descent (BND), and angle of internal urethral orifice funnel as risk factors for postpartum SUI (all P < 0.05).
conclusionsWe constructed a prediction model for postpartum SUI based on pelvic floor ultrasound measurement data and certain clinical data. In clinical practice, this convenient and reliable tool can provide a basis for formulation of treatment strategies for patients with postpartum SUI.
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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.