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The Learning Curve in Urogynecology and Functional Urology: A Systematic Review Publisher Pubmed



Salehipourmehr H1 ; Tahmasbi F2 ; Hosseinpour S1, 5 ; Nouri O1 ; Lotfi B3 ; Iranmanesh P4 ; Pashazadeh F1 ; Hajebrahimi S1, 3
Authors
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Authors Affiliations
  1. 1. Research Center for Evidence-Based Medicine, Iranian EBM Centre: A JBI Centre of Excellence, Faculty of Medicine, Tabriz University of Medical Sciences, Attar-E-Neishabouri Sqr., Tabriz, 51666, Iran
  2. 2. Social Determinants of Health Research Center, Health Management and Safety Promotion Research Institute, Tabriz University of Medical Sciences, Tabriz, Iran
  3. 3. Department of Urology, Tabriz University of Medical Sciences, Tabriz, Iran
  4. 4. Department of Endodontics, Dental Research Center, Dental Research Institute, School of Dentistry, Isfahan University of Medical Sciences, Isfahan, Iran
  5. 5. Student Research Committee, Tabriz University of Medical Sciences, Tabriz, Iran

Source: International Urogynecology Journal Published:2025


Abstract

Introduction and Hypothesis: When adopting new methods, surgeons may experience a period of complexity and longer operation times because of their inexperience. This period is known as the “learning curve. This study was aimed at systematically reviewing the current literature on functional urology learning curves. Methods: A comprehensive search was conducted across multiple databases from inception to July 2023 with no language restrictions. All original studies on urogynecological and functional urological procedures, including cross-sectional, cohort, and clinical trials, were eligible for inclusion. Relevant data were extracted, and methodological quality was appraised using standardized Joanna Briggs Institute critical appraisal tools. To quantitatively investigate learning curves, a mixed-effects generalized linear regression analysis was conducted on studies employing cumulative summation methods. Results: From the 7,104 records, 68 studies met the inclusion criteria. The majority of studies were observational and the most common outcome measures were surgical duration, blood loss, and hospital stay. The learning curves varied by procedure type—for incontinence surgeries, 15–80 cases were required; for pelvic organ prolapse surgeries, 18–47 cases; for laparoscopic procedures, 10–105 cases; and for robotic procedures, 5–84 cases. The analysis showed that the number of cases required to surpass the learning curve decreased over time, likely reflecting technological advancements and increased surgical experience. Conclusion: The learning curve for surgical procedures varies significantly. It varies between 5 cases for robotic supratrigonal cystectomy to 75 cases for robot-assisted ventral mesh rectopexy or robotic sacrocolpopexy surgery in 84 cases. These variable learning curves highlight the need for structured training programs and ongoing assessment. © The International Urogynecological Association 2025.