Evidence map›Paper›PMID 41969770›Full record

ArticleiGIE : innovation, investigation and insights2026

Enhancing colonoscopy reporting quality: impact of structured templates and educational tutorials on automated adenoma detection rate reporting tool performance.

Divya Rayapati, Anmol Singh, Navdeep Singh, Sean Tackett, Alec Faggen, Venkata S Akshintala

Abstract read
In one paragraph

Article in iGIE : innovation, investigation and insights, 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.

Divya RayapatiDivision of Gastroenterology, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Anmol SinghDivision of Gastroenterology, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Navdeep SinghDivision of Gastroenterology, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Sean TackettDepartment of Medicine, Division of General Internal Medicine, Johns Hopkins Bayview Medical Center, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Alec FaggenDivision of Gastroenterology, Johns Hopkins Hospital, Baltimore, Maryland, USA.
Venkata S AkshintalaDivision of Gastroenterology, Johns Hopkins Hospital, Baltimore, Maryland, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: Adenoma detection rate (ADR) is a key colonoscopy quality metric. We previously created an automated ADR reporting tool, but inconsistent documentation hinders its quality. This study aims to evaluate the impact of structured colonoscopy report templates and educational tutorials on ADR metrics recorded by the reporting tool. Methods: We introduced structured colonoscopy report templates and an educational tutorial across 5 endoscopy centers. ADR-qualifying colonoscopies 120 days before and after intervention were analyzed. The Qlik analytics system-based automated ADR calculator (QlikTech Inc, King of Prussia, Pa, USA) was used to review screening colonoscopies and calculate ADR. Results: A total of 5382 colonoscopies were performed during the study period. Among 1436 ADR-qualifying colonoscopies, the reporting of ADR increased from 28.8% to 34.6% ( Conclusions: An increase in reporting of ADR was noted after the intervention period, with results durable up to 120 days after the intervention. However, multivariate analysis suggests the possibility of confounding factors beyond the intervention alone. Educational interventions on structured colonoscopy reporting improved quality metrics.

Identifiers

PMID41969770
PMCPMC13064473

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Registered trials

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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.