Evidence map›Paper›PMID 37336843›Full record

ArticleSurgical endoscopy2023

Evidence supporting performance measures of laparoscopic appendectomy through a novel surgical proficiency assessment tool and low-cost laparoscopic training system.

Christopher W Reynolds, Deborah M Rooney, David R Jeffcoach, Melanie Barnard, Mark J Snell, Kevin El-Hayek, Blessing Ngoin Ngam, Serena S Bidwell, Chioma Anidi, John Tanyi and 2 more

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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 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Construction of a laparoscopic appendectomy model.Revista do Colegio Brasileiro de Cirurgioes · 2024
    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

12 authors.

Christopher W ReynoldsUniversity of Michigan Medical School, Ann Arbor, MI, USA.ORCID 0000-0001-6634-391X
Deborah M RooneyDepartment of Learning Health Sciences, University of Michigan, Ann Arbor, MI, USA.
David R JeffcoachSoddo Christian Hospital, Soddo, Ethiopia.
Melanie BarnardDepartment of Surgery, Southern Illinois University, Carbondale, IL, USA.
Mark J SnellMbingo Baptist Hospital, Mbingo, Cameroon.
Kevin El-HayekDepartment of Surgery, The MetroHealth System, Case Western Reserve University School of Medicine, Cleveland, OH, USA.
Blessing Ngoin NgamMbingo Baptist Hospital, Mbingo, Cameroon.
Serena S BidwellUniversity of Michigan Medical School, Ann Arbor, MI, USA.
Chioma AnidiUniversity of Michigan Medical School, Ann Arbor, MI, USA.
John TanyiMbingo Baptist Hospital, Mbingo, Cameroon.
C Yoonhee RyderUniversity of Michigan Medical School, Ann Arbor, MI, USA.
Grace J KimDepartment of Surgery, University of Michigan, 1500 E Medical Center Drive, SPC 5331, Ann Arbor, MI, 48109-5331, USA. gracejk@med.umich.edu.ORCID 0000-0001-9464-7005

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLaparoscopic training remains inaccessible for surgeons in low- and middle-income countries, limiting its widespread adoption. We developed a novel tool for assessment of laparoscopic appendectomy skills through ALL-SAFE, a low-cost laparoscopy training system.

methodsThis pilot study in Ethiopia, Cameroon, and the USA assessed appendectomy skills using the ALL-SAFE training system. Performance measures were captured using the ALL-SAFE verification of proficiency tool (APPY-VOP), consisting of a checklist, modified Objective Structured Assessment of Technical Skills (m-OSATS), and final rating. Twenty participants, including novice (n = 11), intermediate (n = 8), and expert (n = 1), completed an online module covering appendicitis management and psychomotor skills in laparoscopic appendectomy. After viewing an expert skills demonstration video, participants recorded their performance within ALL-SAFE. Using the APPY-VOP, participants rated their own and three peer videos. We used the Kruskal-Wallis test and a Many-Facet Rasch Model to evaluate (i) capacity of APPY-VOP to differentiate performance levels, (ii) correlation among three APPY-VOP components, and (iii) rating differences across groups.

resultsChecklist scores increased from novice (M = 21.02) to intermediate (M = 23.64) and expert (M = 28.25), with differentiation between experts and novices, P = 0.005. All five m-OSATS domains and global summed, total summed, and final rating discriminated across all performance levels (P < 0.001). APPY-VOP final ratings adequately discriminated Competent (M = 2.0), Borderline (N = 1.8), and Not Competent (M = 1.4) performances, Χ

conclusionAPPY-VOP effectively discriminated between novice and expert performance in laparoscopic appendectomy skills in a simulated setting. Scoring alignment across raters suggests consistent evaluation, independent of expertise. These results support the use of APPY-VOP among all skill levels inside a peer rating system. Future studies will focus on correlating proficiency to clinical practice and scaling ALL-SAFE to other settings.

Indexed as

LaparoscopySurgeonsAppendectomyClinical CompetenceHumansPilot ProjectsGlobal healthLaparoscopic trainingLaparoscopyLow- and middle-income countriesMedical educationSurgical education

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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.