Early versus Long-Term Post-Prostatectomy Incontinence Recovery Among Three Robotic-Assisted Radical Prostatectomy Techniques: A Retrospective Cohort Study.

Shih-Hsuan Lin, Po-Hung Lin, Da-Yu Chao, Chun-Te Wu, I-Hung Shao

Abstract read

In one paragraph

Article in Cancer management and research, 2026. 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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0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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0 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Shih-Hsuan Lin *Department of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID 0009-0007-8081-0888

Po-Hung Lin *Department of Medicine, Chang Gung University, Taoyuan, Taiwan.

Da-Yu ChaoDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.

Chun-Te WuDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.

I-Hung ShaoDepartment of Medicine, Chang Gung University, Taoyuan, Taiwan.ORCID 0000-0002-4832-0113

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To compare the early and long-term recovery outcomes of post-prostatectomy incontinence (PPI) among patients undergoing Retzius-sparing robotic-assisted laparoscopic prostatectomy ( Methods: We conducted a retrospective cohort study of 79 patients who underwent RARP by at a single tertiary center. Patients were grouped as Results: All three groups achieved excellent long-term continence rates (≥96.7% at 6 months, p=0.723). The Conclusion: All three RARP techniques yield excellent long-term continence rates.

Indexed as

3-layer reconstructionposterior repairpost-prostatectomy incontinenceRARProbotic assisted radical prostatectomyRS-RARPurinary incontinence

Identifiers

PMID42344704

DOI10.2147/CMAR.S604780

PMCPMC13290386

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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.