Evidence map›Paper›PMID 38224964›Full record

Trial reportEndoscopy2024

Effect of an online educational module incorporating real-time feedback on accuracy of polyp sizing in trainees: a randomized controlled trial.

Elijah J Mun, Timothy Yen, Camille J Hochheimer, Wyatt Tarter, Tonya Kaltenbach, Rajesh N Keswani, Sachin Wani, Swati G Patel

Abstract readRandomized Controlled TrialMulticenter Study
In one paragraph

Trial report in Endoscopy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Elijah J MunDivision of Gastroenterology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, United States.ORCID 0000-0001-6613-7518
Timothy YenDivision of Gastroenterology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, United States.
Camille J HochheimerDepartment of Biostatistics and Informatics, Center for Innovative Design and Analysis, Colorado School of Public Health, Aurora, United States.
Wyatt TarterDepartment of Biostatistics and Informatics, Center for Innovative Design and Analysis, Colorado School of Public Health, Aurora, United States.
Tonya KaltenbachDivision of Gastroenterology, Department of Medicine, University of California San Francisco, San Francisco, United States.
Rajesh N KeswaniDivision of Gastroenterology, Department of Medicine, Northwestern University Feinberg School of Medicine, Chicago, United States.
Sachin WaniDivision of Gastroenterology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, United States.
Swati G PatelDivision of Gastroenterology, Department of Medicine, University of Colorado Anschutz Medical Campus, Aurora, United States.

Funding

NIH Prior Approval Process ProfessionalUL1TR002535 · NCATS · UNIVERSITY OF COLORADO DENVER · PI SOKOL, RONALD J. · 2018 to 2022
$51.1M
AGA Research Foundation - Academy of Educators Received December 14, 2020.NCATS NIH HHS UL1 TR002535
6 · The paper itself

Abstract

backgroundAlthough polyp size dictates surveillance intervals, endoscopists often estimate polyp size inaccurately. We hypothesized that an intervention providing didactic instruction and real-time feedback could significantly improve polyp size classification.

methodsWe conducted a multicenter randomized controlled trial to evaluate the impact of different components of an online educational module on polyp sizing. Participants were randomized to control (no video, no feedback), video only, feedback only, or video + feedback. The primary outcome was accuracy of polyp size classification into clinically relevant categories (diminutive [1-5mm], small [6-9mm], large [≥10mm]). Secondary outcomes included accuracy of exact polyp size (inmm), learning curves, and directionality of inaccuracy (over- vs. underestimation).

results36 trainees from five training programs provided 1360 polyp size assessments. The feedback only (80.1%,

conclusionsOur online educational module significantly improved polyp size classification. Real-time feedback appeared to be a critical component in improving accuracy. This scalable and no-cost educational module could significantly decrease under- and overutilization of colonoscopy, improving patient outcomes while increasing colonoscopy access.

Indexed as

Clinical CompetenceColonic PolypsColonoscopyAdultComputer-Assisted InstructionFemaleFormative FeedbackHumansLearning CurveMaleMiddle Aged

Identifiers

PMID38224964
PMCPMC11139550

What OpenQuestion holds

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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.