Evidence map›Paper›PMID 37702879›Full record

ArticleSurgical endoscopy2023

A cognitive task analysis of expert surgeons performing the robotic roux-en-y gastric bypass.

Karan Grover, Daniel Praise Mowoh, Hamza Nasir Chatha, Ajitha Mallidi, Shravan Sarvepalli, Curtis Peery, Carlos Galvani, Dmytro Havaleshko, Amit Taggar, Leena Khaitan and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Surgical endoscopy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Cognitive ergonomics and robotic surgery.Journal of robotic surgery · 2024
    Review
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

11 authors at 3 institutions in 1 country.

Karan GroverDepartment of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Lakeside 7, Cleveland, OH, 44106-5047, USA. Karan.Grover@gmail.com.ORCID 0000-0002-5418-6774
Daniel Praise MowohDepartment of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Lakeside 7, Cleveland, OH, 44106-5047, USA.
Hamza Nasir ChathaShifa College of Medicine, Islamabad, Pakistan.
Ajitha MallidiDepartment of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Lakeside 7, Cleveland, OH, 44106-5047, USA.
Shravan SarvepalliDepartment of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Lakeside 7, Cleveland, OH, 44106-5047, USA.
Curtis PeeryThe Bariatric Experts, Frisco, TX, USA.
Carlos GalvaniDepartment of Surgery, Tulane University School of Medicine, New Orleans, LA, USA.
Dmytro HavaleshkoDepartment of Surgery, Wentworth-Douglass Hospital, Dover, NH, USA.
Amit TaggarFlorida Surgical Weight Loss Centers, Tampa, FL, USA.
Leena KhaitanDepartment of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Lakeside 7, Cleveland, OH, 44106-5047, USA.
Mujjahid AbbasDepartment of Surgery, University Hospitals Cleveland Medical Center, 11100 Euclid Ave, Lakeside 7, Cleveland, OH, 44106-5047, USA.
University Hospitals of Cleveland · USTulane University · USWentworth Douglass Hospital · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe safe and effective performance of a robotic roux-en-y gastric bypass (RRNY) requires the application of a complex body of knowledge and skills. This qualitative study aims to: (1) define the tasks, subtasks, decision points, and pitfalls in a RRNY; (2) create a framework upon which training and objective evaluation of a RRNY can be based.

methodsHierarchical and cognitive task analyses for a RRNY were performed using semi-structured interviews of expert bariatric surgeons to describe the thoughts and behaviors that exemplify optimal performance. Verbal data was recorded, transcribed verbatim, supplemented with literary and video resources, coded, and thematically analyzed.

resultsA conceptual framework was synthesized based on three book chapters, three articles, eight online videos, nine field observations, and interviews of four subject matter experts (SME). At the time of the interview, SME had practiced a median of 12.5 years and had completed a median of 424 RRNY cases. They estimated the number of RRNY to achieve competence and expertise were 25 cases and 237.5 cases, respectively. After four rounds of inductive analysis, 83 subtasks, 75 potential errors, 60 technical tips, and 15 decision points were identified and categorized into eight major procedural steps (pre-procedure preparation, abdominal entry & port placement, gastric pouch creation, omega loop creation, gastrojejunal anastomosis, jejunojejunal anastomosis, closure of mesenteric defects, leak test & port closure). Nine cognitive behaviors were elucidated (respect for patient-specific factors, tactical modification, adherence to core surgical principles, task completion, judicious technique & instrument selection, visuospatial awareness, team-based communication, anticipation & forward planning, finessed tissue handling).

conclusionThis study defines the key elements that formed the basis of a conceptual framework used by expert bariatric surgeons to perform the RRNY safely and effectively. This framework has the potential to serve as foundational tool for training novices.

Indexed as

Gastric BypassLaparoscopyObesity, MorbidRobotic Surgical ProceduresSurgeonsAnastomosis, Roux-en-YCognitionHumansCognitive task analysisCTA robotic surgeryExpert bariatric surgeonsRNYGBRobotic roux-en-y gastric bypass

Identifiers

PMID37702879
OpenAlexW4386705024

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.