Evidence map›Paper›PMID 23832519›Full record

ArticleObesity surgery2013

Multifactorial analysis of the learning curve for totally robotic Roux-en-Y gastric bypass for morbid obesity.

Myriam Renaud, Nicolas Reibel, Rasa Zarnegar, Adeline Germain, Didier Quilliot, Ahmet Ayav, Laurent Bresler, Laurent Brunaud

Abstract readEvaluation Study
PubMed Publisher
In one paragraph

Article in Obesity surgery, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 5 pooled it
–field-weighted citation impact
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, 5 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Guideline
  6. Article
  7. Comparison between DaVinciJournal of robotic surgery · 2024
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  19. Robotic Roux-en-Y gastric bypass: operative results in 100 patients.Arquivos brasileiros de cirurgia digestiva : ABCD = Brazilian archives of digestive surgery · 2014
    Article
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

8 authors.

Myriam RenaudDepartment of Digestive, Hepato-Biliary and Endocrine Surgery, Hopital Brabois Adultes, pôle UND, Université de Lorraine-CHU Nancy, Vandoeuvre les Nancy, 54511, France.
Nicolas Reibel
Rasa Zarnegar
Adeline Germain
Didier Quilliot
Ahmet Ayav
Laurent Bresler
Laurent Brunaud

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic Roux-en-Y gastric bypass is one of the most commonly performed bariatric operation worldwide for the surgical management of obesity. Totally robotic Roux-en-Y gastric bypass (TR-RYGBP) has been considered to be a better approach by some groups especially early in a surgeon's experience. However, the learning curve associated with TR-RYGBP has been poorly evaluated yet. The aim of this study was to evaluate the learning curve of patients who underwent TR-RYGBP.

methodsThis is a prospective study of 154 first consecutive patients undergoing TR-RYGBP to analyze the influence of surgeon experience, bedside first assistant, and patient factors on operative time and postoperative complications. To give a comprehensive view of success related to the learning process, a single hybrid variable was generated. Multivariate analysis predicted the risk factors for complications and operative time. A risk-adjusted cumulative sum analysis estimated the learning curve.

resultsThe learning curve for TR-RYGBP was 84 cases. Case rank and first assistant level were independent predictors of total operative time. Overall 30-day postoperative morbidity rate was 33.1 % and decreased over time. Surgeon experience (OR 2.6; CI 95 [1.290 to 5.479]; p = 0.0081) and first assistant level (OR 2.42; CI 95 [1.197 to 4.895]; p = 0.0139) remained independent predictors of composite event (operative time and complications).

conclusionsThis study identifed criteria that should be assessed in future studies about TR-RYGBP. Both surgeon experience and bedside first assistant level affected operative duration, but surgeon experience was the most significant factor in reducing complication rates.

Indexed as

Gastric BypassLaparoscopyLearning CurveRoboticsAdultClinical CompetenceFemaleHumansLength of StayMaleObesity, MorbidOperative TimeProspective StudiesRisk AssessmentTreatment OutcomeWeight Loss

Identifiers

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Textmetadata
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.