{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,1]],"date-time":"2026-05-01T09:44:10Z","timestamp":1777628650182,"version":"3.51.4"},"reference-count":33,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T00:00:00Z","timestamp":1776816000000},"content-version":"vor","delay-in-days":21,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,4,1]],"date-time":"2026-04-01T00:00:00Z","timestamp":1775001600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["bjui-journals.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["BJUI Compass"],"published-print":{"date-parts":[[2026,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Objectives<\/jats:title>\n                    <jats:p>This study aims to identify immediate and long\u2010term predictors of postoperative urinary continence recovery after robotic\u2010assisted radical prostatectomy (RARP) in a cohort of 1061 patients, enabling risk stratification and informing potentially modifiable perioperative strategies across patient subgroups.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Patients and methods<\/jats:title>\n                    <jats:p>\n                      Prospectively collected data from 1061 patients who underwent RARP between 2016 and 2021 at a single high\u2010volume hospital were analysed. Urinary continence was evaluated immediately after surgery (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u20091061), after 1\u2009year (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009797) and after 3\u00a0years (\n                      <jats:italic>n<\/jats:italic>\n                      \u2009=\u2009621). Multivariable ordinal logistic regression analyses were performed for each time point.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Immediately after catheter removal, 34.8% of patients were continent. Younger age, shorter catheterization duration, Retzius\u2010sparing approach and nerve\u2010sparing techniques were significant predictors (\n                      <jats:italic>p<\/jats:italic>\n                      \u2009&lt;\u20090.05). After 1\u00a0year, the continence rate was 64.2%, with shorter catheterization duration and nerve\u2010sparing techniques being significant. After 3\u00a0years, the continence rate was 79.1%. Only nerve\u2010sparing techniques remained significantly associated with continence.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>Younger age, shorter catheterization, the Retzius\u2010sparing approach and nerve\u2010sparing surgical techniques were predictive for immediate continence after RARP and represent modifiable factors that should be considered where appropriate. For long\u2010term continence, intraoperative nerve\u2010sparing is particularly crucial.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1002\/bco2.70207","type":"journal-article","created":{"date-parts":[[2026,4,22]],"date-time":"2026-04-22T09:35:58Z","timestamp":1776850558000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Perioperative factors influencing immediate and long\u2010term continence after robot\u2010assisted radical prostatectomy"],"prefix":"10.1002","volume":"7","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-0064-225X","authenticated-orcid":false,"given":"Till","family":"Rostalski","sequence":"first","affiliation":[{"name":"Department of Urology University of Heidelberg Medical Center  Heidelberg Germany"},{"name":"Institute for Artificial Intelligence in Medicine University Hospital Essen  Essen 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