Evidence map›Paper›PMID 35850976›Full record

ArticleEuropean urology oncology2023

The Surgical Learning Curve for Biochemical Recurrence After Robot-assisted Radical Prostatectomy.

Carlo A Bravi, Paolo Dell'Oglio, Elio Mazzone, Marcio C Moschovas, Ugo Falagario, Pietro Piazza, Simone Scarcella, Christopher Bednarz, Luca Sarchi, Stefano Tappero and 15 more

Open access · bronzeAbstract read
In one paragraph

Article in European urology oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 2 pooled it
4.0field-weighted citation impact, top 5% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

19 citing papers in PubMed, 2 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Pooled it
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  4. Effects of Modifying Hinotori Surgical Robot System on the Learning Curve of Robot-Assisted Radical Prostatectomy.International journal of urology : official journal of the Japanese Urological Association · 2026
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  17. Different approaches for bladder neck dissection during robot-assisted radical prostatectomy: the Aalst technique.International braz j urol : official journal of the Brazilian Society of Urology
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

25 authors at 13 institutions in 5 countries.

Carlo A BraviDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; ORSI Academy, Ghent, Belgium; Division of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy. Electronic address: carloandrea.bravi@gmail.com.
Paolo Dell'OglioDepartment of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Department of Urology, Antoni van Leeuwenhoek Hospital, The Netherlands Cancer Institute, Amsterdam, The Netherlands; Interventional Molecular Imaging Laboratory, Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands.
Elio MazzoneDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Marcio C MoschovasAdventHealth Global Robotics Institute, Celebration, FL, USA.
Ugo FalagarioUrology and Renal Transplantation Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Pietro PiazzaDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; Division of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Simone ScarcellaDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; Division of Urology, United Hospital of Ancona, School of Medicine Marche Polytechnic University, Ancona, Marche, Italy.
Christopher BednarzDivision of Urology, Virginia Commonwealth University, Richmond, VA, USA.
Luca SarchiDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium.
Stefano TapperoDepartment of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy; Department of Urology, Policlinico San Martino Hospital, University of Genova, Genova, Italy.
Sophie KnipperDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; Martini-Klinik Prostate Cancer Center, University Hospital Hamburg-Eppendorf, Hamburg, Germany.
Ruben De GrooteDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; ORSI Academy, Ghent, Belgium.
Daniel SjobergDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Riccardo SchiavinaDivision of Urology, IRCCS Azienda Ospedaliero-Universitaria di Bologna, Bologna, Italy.
Nazareno SuardiDepartment of Urology, Policlinico San Martino Hospital, University of Genova, Genova, Italy.
Carlo TerroneDepartment of Urology, Policlinico San Martino Hospital, University of Genova, Genova, Italy.
Riccardo AutorinoDivision of Urology, Virginia Commonwealth University, Richmond, VA, USA.
Giuseppe CarrieriUrology and Renal Transplantation Unit, Department of Medical and Surgical Sciences, University of Foggia, Foggia, Italy.
Andrea GalosiDivision of Urology, United Hospital of Ancona, School of Medicine Marche Polytechnic University, Ancona, Marche, Italy.
Antonio GalfanoDepartment of Urology, ASST Grande Ospedale Metropolitano Niguarda, Milan, Italy.
Alberto BrigantiDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Francesco MontorsiDivision of Oncology/Unit of Urology, URI, IRCCS Ospedale San Raffaele, Milan, Italy.
Vipul PatelAdventHealth Global Robotics Institute, Celebration, FL, USA.
Andrew VickersDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Alexandre MottrieDepartment of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium; ORSI Academy, Ghent, Belgium.
IRCCS Ospedale San Raffaele · ITOnze Lieve Vrouwziekenhuis Hospital · BEOspedale Policlinico San Martino · ITAdventHealth Celebration · USMarche Polytechnic University · ITMemorial Sloan Kettering Cancer Center · USORSI Academy · BEUniversity of Foggia · ITVirginia Commonwealth University · USAzienda Socio Sanitaria Territoriale Grande Ospedale Metropolitano Niguarda · ITAzienda USL di Bologna · ITLeiden University Medical Center · NLMartini-Klinik · DE

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Hongbiao Carl Lekaye · 1985 to 2026
$347.4M
SPORE In Prostate CancerP50CA092629 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI JAMES A EASTHAM · 2001 to 2026
$63.0M
NCI NIH HHS P30 CA008748NCI NIH HHS P50 CA092629
6 · The paper itself

Abstract

backgroundImproved cancer control with increasing surgical experience-the learning curve-was demonstrated for open and laparoscopic prostatectomy. In a prior single-center study, we found that this might not be the case for robot-assisted radical prostatectomy (RARP).

objectiveTo investigate the relationship between prior experience of a surgeon and biochemical recurrence (BCR) after RARP. DESIGN, SETTING, AND

participantsWe retrospectively analyzed the data of 8101 patients with prostate cancer treated with RARP by 46 surgeons at nine institutions between 2003 and 2021. Surgical experience was coded as the total number of robotic prostatectomies performed by the surgeon before the patient operation. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We evaluated the relationship of prior surgeon experience with the probability of BCR adjusting for preoperative prostate-specific antigen, pathologic stage, grade, lymph-node involvement, and year of surgery. RESULTS AND LIMITATIONS: Overall, 1047 patients had BCR. The median follow-up for patients without BCR was 33 mo (interquartile range: 14, 61). After adjusting for case mix, the relationship between surgical experience and the risk of BCR after surgery was not statistically significant (p = 0.2). The 5-yr BCR-free survival rates for a patient treated by a surgeon with prior 10, 250, and 1000 procedures performed were, respectively, 82.0%, 82.7%, and 84.8% (absolute difference between 10 and 1000 prior procedures: 1.6% [95% confidence interval: 0.4%, 3.3%). Results were robust to a number of sensitivity analyses.

conclusionsThese findings suggest that, as opposed to open and laparoscopic radical prostatectomy, surgeons performing RARP achieve adequate cancer control in the early phase of their career. Further research should explore why the learning curve for robotic surgery differs from prior findings for open and laparoscopic radical prostatectomy. We hypothesize that surgical education, including simulation training and the adoption of objective performance metrics, is an important mechanism for flattening the learning curve. PATIENT SUMMARY: We investigated the relationship between biochemical recurrence after robot-assisted radical prostatectomy and surgeon's experience. Surgeons at an early stage of their career had similar outcomes to those of more experienced surgeons, and we hypothesized that surgical education in robotics might be an important determinant of such a finding.

Indexed as

LaparoscopyProstatic NeoplasmsRoboticsRobotic Surgical ProceduresHumansLearning CurveMaleProstatectomyRetrospective StudiesBiochemical recurrenceLearning curveProstate cancerRadical prostatectomyRobot-assisted surgerySurgical experience

Identifiers

PMID35850976
PMCPMC10795739
OpenAlexW4285601125

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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.