Evidence map›Paper›PMID 42842165›Full record

ArticleDigestive diseases and sciences2026

Real-Time Computer-Aided Detection During Colonoscopy-Effects on Advanced, Diminutive, and Non-Neoplastic Lesion Detection: A Systematic Review and Meta-Analysis of Randomized Trials.

Akil E Anthony, Adem Ademi, Joseph S Flanagan, Patricia B Stopper, Rolando H Rolandelli, Zoltan H Nemeth

Abstract read
PubMed Publisher
In one paragraph

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. 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

6 authors.

Akil E AnthonyDepartment of Surgery, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ, 07960, USA.ORCID http://orcid.org/0009-0008-8813-8560
Adem AdemiDepartment of Surgery, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ, 07960, USA.
Joseph S FlanaganDepartment of Surgery, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ, 07960, USA.
Patricia B StopperDepartment of Surgery, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ, 07960, USA.
Rolando H RolandelliDepartment of Surgery, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ, 07960, USA.
Zoltan H NemethDepartment of Surgery, Morristown Medical Center, 100 Madison Avenue, Morristown, NJ, 07960, USA. Zoltan.nemeth@atlantichealth.org.ORCID http://orcid.org/0000-0002-9282-6322

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsComputer-aided detection (CADe) increases adenoma detection rate (ADR), but whether this improvement reflects greater detection of clinically consequential neoplasia remains uncertain. We evaluated the effects of real-time CADe on advanced, large, diminutive, and non-neoplastic lesions as distinct outcomes.

methodsWe searched PubMed, Embase, CENTRAL, ClinicalTrials.gov, and WHO ICTRP through August 27, 2026, supplemented by citation searching. Randomized controlled trials comparing real-time CADe-assisted with non-CADe colonoscopy were eligible. Patient-level risk ratios (RRs) were pooled using random-effects meta-analysis with restricted maximum likelihood estimation and Hartung-Knapp confidence intervals. Risk of bias was assessed with RoB 2 and certainty of evidence with GRADE.

resultsNinety eligible randomized trial families were identified; 64 contributed to at least one primary quantitative synthesis. CADe did not demonstrate clear evidence of increased advanced adenoma detection (25 trials; RR 1.03, 95% CI 0.97-1.10; I

conclusionsReal-time CADe increases overall ADR on average and increases non-neoplastic lesion detection, with moderate-certainty evidence suggesting increased diminutive adenoma detection. However, it did not demonstrate clear evidence of increased advanced adenoma, adenoma ≥ 10 mm, or advanced colorectal neoplasia detection. Higher ADR alone should not be assumed to represent greater detection of clinically consequential neoplasia.

Indexed as

Adenoma detection rateAdvanced adenomaArtificial intelligenceColonoscopyColorectal neoplasiaComputer-aided detection

Identifiers

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.