Evidence map›Paper›PMID 40858859›Full record

ArticleDigestive diseases and sciences2026

Pragmatic Implementation Study of a Computer-Aided Detection Device on Colonoscopy Outcomes at a Trainee-Dominated Academic County Hospital.

Anthony A Xu, Vanessa Catania, Loan Ho, Jordan Sparkman, Baojiang Chen, Robert J Sealock

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Article in Digestive diseases and sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing 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

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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. Article
4 · The record

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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

6 authors.

Anthony A XuSection of Gastroenterology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA. doubleang@gmail.com.
Vanessa CataniaSchool of Medicine, Baylor College of Medicine, Houston, TX, USA.
Loan HoHarris Health System, Houston, TX, USA.
Jordan SparkmanSection of Gastroenterology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.
Baojiang ChenDepartment of Biostatistics and Data Science, UTHealth Houston School of Public Health, Houston, TX, USA.
Robert J SealockSection of Gastroenterology, Department of Medicine, Baylor College of Medicine, Houston, TX, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMultiple randomized controlled trials have shown that real-time computer-aided detection (CADe) devices can significantly increase adenoma and sessile serrated polyp detection. Unfortunately, there have been several pragmatic implementation studies that have questioned the utility of these devices in everyday practice. This study aimed to understand the effects of the pragmatic implementation of a CADe device on colonoscopy metrics at a trainee-dominated academic county hospital.

methodsWe collected data on all colonoscopies performed 1 year before (1665 colonoscopies) and after implementation of the CADe device (2301 colonoscopies). CADe use was not mandated. We excluded colonoscopies which were incomplete and had inadequate bowel preparation (Boston Bowel Prep Score (BBPS)) < 6 or < 2 in any colonic segment.

resultsThe baseline adenoma detection rate (ADR) and sessile serrated lesion detection rate (SSLDR) were 31.5% and 1.3%, respectively, and increased by + 7.6% (95% CI 4.6-10.6) and + 2.9% (95% CI 1.9-3.8) after the implementation of CADe (p value < 0.001). After adjusting for other covariates (age, gender, BBPS, withdrawal time, positive fecal immunochemical test indication), the odds of adenoma detection (aOR 1.29, 95% CI 1.12-1.51, p = 0.001) and sessile serrated lesion detection (aOR 3.10, 95% CI 1.93-4.99, p < 0.001) were higher after CADe implementation.

conclusionThe implementation of a CADe device irrespective of CADe device usage significantly improved ADR and SSLDR in a trainee-dominated academic county hospital setting. The benefits of CADe devices may be more apparent, and implementation of CAD devices should be considered in practices where the ADR and/or SSLDR is not already exceedingly high.

Indexed as

Adenoma detectionColonoscopyComputed aided detectionSessile serrated lesion detection

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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.