Evidence map›Paper›PMID 39482661›Full record

ArticleBMC cancer2024

Integrating clinical and image-based parameters for prediction of early post-prostatectomy incontinence recovery: simplified nomogram approach.

I-Hung Shao, Sy-Yuan Chen, Hung-Yi Chen, Ting-Wen Sheng, Ying-Hsu Chang, Chung-Yi Liu, Liang-Kang Huang, Hung-Chen Kan, Po-Hung Lin, Kai-Jie Yu and 3 more

Abstract read
In one paragraph

Article in BMC cancer, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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4 · The record

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5 · Who and what money

Authors and funding

13 authors.

I-Hung ShaoDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Sy-Yuan ChenDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Hung-Yi ChenDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.
Ting-Wen ShengDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.
Ying-Hsu ChangDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.
Chung-Yi LiuDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.
Liang-Kang HuangDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Hung-Chen KanDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Po-Hung LinDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Kai-Jie YuDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Cheng-Keng ChuangDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
See-Tong PangDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan.
Chun-Te WuDivision of Urology, Department of Surgery, Linkou Branch, Chang Gung Memorial Hospital, No.5, Fusing St., Gueishan Dist, Taoyuan, Taiwan. wucgmh@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThis study aimed to develop a novel model that combines both clinical and image-based parameters to predict early recovery of urinary incontinence after robotic-assisted radical prostatectomy (RARP) more easily and precisely. MATERIALS AND

methodsWe retrospectively enrolled data from patients who underwent RARP performed by a single surgeon. Clinical parameters were collected through medical chart review. All patients received cystography one week after RARP to evaluate the anastomosis healing condition. All cystography images were analyzed by a single radiologist who was blinded to the clinical status of the patients. Multivariate analysis was performed to select significant predictors for early post-prostatectomy incontinence (PPI) recovery, defined as being pad-free within four weeks after surgery.

resultsA total of 293 patients were enrolled in this study. Among them, 26.7% experienced immediate dryness after surgery, while 47.6% achieved being pad-free within one month. The overall continence rate was over 90% six months after surgery. In univariate analysis, factors associated with early PPI recovery were BMI, T stage, NVB preservation, surgical margin status, downward bladder neck, and bladder neck angle on cystography. BMI, NVB preservation, and downward bladder neck remained significant in multivariate analysis (p-values = 0.041, 0.027, and 0.023, respectively). A nomogram model was established based on these three predictors.

conclusionThis is the first model to combine preoperative clinical factors, peri-surgical factors, and postoperative image-based factors to predict PPI recovery after RARP. This model can assist clinicians in taking optimal actions for PPI and also reduce patient anxiety.

Indexed as

NomogramsProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresUrinary IncontinenceAgedCystographyHumansMaleMiddle AgedPostoperative ComplicationsRecovery of FunctionRetrospective StudiesNomogramPost-prostatectomy incontinenceProstate cancerRARPRobotic assisted radical prostatectomyUrinary incontinence

Identifiers

PMID39482661
PMCPMC11529020

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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.