Evidence map›Paper›PMID 36506259›Full record

ArticleEuropean urology open science2022

Impact of Surgical Experience Before Robot-assisted Partial Nephrectomy on Surgical Outcomes: A Multicenter Analysis of 2500 Patients.

Nina N Harke, Markus A Kuczyk, Stephan Huusmann, Frank Schiefelbein, Andreas Schneller, Georg Schoen, Clemens Wiesinger, Jacob Pfuner, Burkhard Ubrig, Simon Gloger and 12 more

Open access · goldAbstract read
In one paragraph

Article in European urology open science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 6 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 6 pooled it
3.6field-weighted citation impact, top 6% 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

16 citing papers in PubMed, 6 syntheses or guidelines pooled it, 26 citations in OpenAlex.

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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

22 authors at 9 institutions in 2 countries.

Nina N HarkeDepartment of Urology, Hannover Medical School, Hannover, Germany.
Markus A KuczykDepartment of Urology, Hannover Medical School, Hannover, Germany.
Stephan HuusmannDepartment of Urology, Hannover Medical School, Hannover, Germany.
Frank SchiefelbeinDepartment of Urology, Klinikum Wuerzburg Mitte-Missioklinik, Wuerzburg, Germany.
Andreas SchnellerDepartment of Urology, Klinikum Wuerzburg Mitte-Missioklinik, Wuerzburg, Germany.
Georg SchoenDepartment of Urology, Urologische Klinik Muenchen-Planegg, Planegg, Germany.
Clemens WiesingerDepartment of Urology, Klinikum Wels-Grieskirchen GmbH, Wels, Austria.
Jacob PfunerDepartment of Urology, Klinikum Wels-Grieskirchen GmbH, Wels, Austria.
Burkhard UbrigDepartment of Urology, Augusta-Kranken-Anstalt Bochum, Bochum, Germany.
Simon GlogerDepartment of Urology, Augusta-Kranken-Anstalt Bochum, Bochum, Germany.
Daniar OsmonovDepartment of Urology, University of Schleswig-Holstein Campus Kiel, Kiel, Germany.
Ahmed ErakyDepartment of Urology, University of Schleswig-Holstein Campus Kiel, Kiel, Germany.
Jörn H WittDepartment of Urology, St. Antonius Hospital Gronau, Gronau, Germany.
Nikolaos LiakosDepartment of Urology, St. Antonius Hospital Gronau, Gronau, Germany.
Christian WagnerDepartment of Urology, St. Antonius Hospital Gronau, Gronau, Germany.
Boris A HadaschikDepartment of Urology, University Hospital Essen, Essen, Germany.
Jan-Philipp RadtkeDepartment of Urology, University Hospital Essen, Essen, Germany.
Mulham Al NaderDepartment of Urology, University Hospital Essen, Essen, Germany.
Florian ImkampDepartment of Urology, Vinzenzkrankenhaus Hannover, Hannover, Germany.
Stefan SiemerDepartment of Urology and Pediatric Urology, Saarland University, Homburg/Saar, Germany.
Michael StöckleDepartment of Urology and Pediatric Urology, Saarland University, Homburg/Saar, Germany.
Philip ZeuschnerDepartment of Urology and Pediatric Urology, Saarland University, Homburg/Saar, Germany.
Essen University Hospital · DEMedizinische Hochschule Hannover · DESt.-Antonius-Hospital Gronau · DEAugusta-Kranken-Anstalt · DEKlinikum Wels-Grieskirchen · ATKlinikum Würzburg Mitte · DESaarland University · DEUrologische Klinik München · DEVinzenzkrankenhaus Hannover · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robot-assisted partial nephrectomy (RAPN) is a challenging procedure that is influenced by a multitude of factors. Objective: To assess the impact of prior surgical experience on perioperative outcomes in RAPN. Design setting and participants: In this retrospective multicenter study, results for 2548 RAPNs performed by 25 surgeons at eight robotic referral centers were analyzed. Perioperative data for all consecutive RAPNs from the start of each individual surgeon's experience were collected, as well as the number of prior open or laparoscopic kidney surgeries, pelvic surgeries (open, laparoscopic, robotic), and other robotic interventions. Intervention: Transperitoneal or retroperitoneal RAPN. Outcome measurements and statistical analysis: The impact of prior surgical experience on operative time, warm ischemia time (WIT), major complications, and margin, ischemia, complication (MIC) score (negative surgical margins, WIT ≤20 min, no major complications) was assessed via univariate and multivariable regression analyses accounting for age, gender, body mass index (BMI), American Society of Anesthesiologists score, PADUA score, and RAPN experience. Results and limitations: BMI, PADUA score, and surgical experience in RAPN had a strong impact on perioperative outcomes. A plateau effect for the learning curve was not observed. Prior laparoscopic kidney surgery significantly reduced the operative time ( Conclusions: Mastering of RAPN is an ongoing learning process. However, prior experience in laparoscopic kidney and robot-assisted pelvic surgery seems to improve perioperative outcomes for surgeons when starting with RAPN, while experience in open surgery might not be crucial. Patient summary: In this multicenter analysis, we found that a high degree of experience in keyhole kidney surgery and robot-assisted pelvic surgery helps surgeons in achieving good initial outcomes when starting robot-assisted kidney surgery.

Indexed as

Learning curveRenal cell carcinomaRobot-assisted partial nephrectomyRobot-assisted surgerySurgical experience

Identifiers

PMID36506259
PMCPMC9732453
OpenAlexW4307570921

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

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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.