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January 30, 2026European journal of medical researchOpen Access

Development and validation of a risk prediction model for urinary retention after pelvic floor reconstruction: a retrospective cohort study

Shuang Hu Linlin Zhou Chengying Su Yingxue Ge Yunjie Huang Lubin LIU Ling Dai

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Key Points

The study aims to create a risk prediction model for urinary retention following pelvic floor reconstruction surgery.
Developed a nomogram model based on retrospective data.
Analyzed factors contributing to urinary retention risk.
Validated the model for effectiveness in predicting outcomes.
The nomogram successfully identifies high-risk patients for urinary retention.
Early identification can enhance patient management during the perioperative period.

Implication

Retrospective cohort study develops nomogram to predict urinary retention risk, suggesting improved patient management.

Abstract

The nomogram model effectively predicts POUR risk, aiding early perioperative identification of high-risk patients.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/6980ff37c1c9540dea812175 https://doi.org/10.1186/s40001-026-03853-8

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Keep reading

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1Development and validation of a prediction model for postoperative urinary retention after prolapse surgery: A retrospective cohort study2024 · 1 citations
2Development and validation of a predictive model for postoperative urinary retention following pelvic organ prolapse surgery: a retrospective studyCohort Study · 2026
3Development and validation of nomogram models for predicting urinary incontinence following radical prostatectomy in high-risk prostate cancer patients2025 · 1 citations
4Development and validation of a prediction model for postoperative urinary retention after prolapse surgery: A retrospective cohort study2024
5Development and validation of a risk prediction model for postpartum urinary incontinence in primiparas using clinical and pelvic floor ultrasound characteristics2025

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