Evidence map›Paper›PMID 40109880›Full record

ArticleJGH open : an open access journal of gastroenterology and hepatology2025

Dysplasia and Malignancy in Colonic Polyps: Preparing for a Resect and Discard Strategy in Canada.

Vishesh V Patel, Robert Bechara, Mandip Rai

Abstract read
In one paragraph

Article in JGH open : an open access journal of gastroenterology and hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
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

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

1 citing paper in PubMed.

  1. 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

3 authors.

Vishesh V PatelDepartment of Medicine Queen's University Kingston Ontario Canada.ORCID https://orcid.org/0000-0002-5805-5659
Robert BecharaDepartment of Medicine Queen's University Kingston Ontario Canada.
Mandip RaiDepartment of Medicine Queen's University Kingston Ontario Canada.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background/Aims: Colonoscopies are commonly performed to evaluate and remove polyps. Currently, at most centers in Canada, all resected polyps are submitted for histologic examination. A resect and discard strategy has not been widely adopted in the Canadian population. The objective of this study was to characterize polyps and their rates of dysplasia. Methods/Results: Colonoscopies and pathology reports were analyzed at a tertiary care hospital. We recorded polyp size, histology, and the presence of high-grade dysplasia (HGD)/cancer. Out of a total of 2218 colonoscopies, 2945 polyps were removed. In descending order, tubular adenomas, hyperplastic, sessile serrated, tubulovillous, and inflammatory polyps represented 67.4%, 16.2%, 9.9%, 5.6%, and 0.8% of all polyps, respectively. Regarding size, 1703 polyps were between 1 and 5 mm, with only 2 (0.12%) showing HGD. Similarly, in the 6-9 mm group, there were 699 polyps, with only 3 (0.43%) showing HGD. Neither of these groups had evidence of cancer. In contrast, the > 10 mm group had 543 polyps, of which 87 (16.02%) showed HGD, and 15 (2.76%) exhibited cancer. In our patient population, only 0.04% of patients would have a change in their screening interval due to HGD in polyps that were < 5 mm in size. Conclusions: Based on these findings, a resect and discard strategy should be further evaluated for diminutive polyps in this population. While current recommendations for post-polypectomy screening include pathological assessment, further research on screening intervals based on size, location, and optical diagnosis may reduce resource utilization without compromising outcomes.

Indexed as

adenomacolonoscopycolorectal neoplasmspolyps

Identifiers

PMID40109880
PMCPMC11920585

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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.