Evidence map›Paper›PMID 38841140›Full record

ArticleJournal of the Canadian Association of Gastroenterology2024

Unified Magnifying Endoscopic Classification (UMEC) of Gastrointestinal Lesions: A North American Validation Study.

Mary Raina Angeli Fujiyoshi, Yusuke Fujiyoshi, Nikko Gimpaya, Robert Bechara, Thurarshen Jeyalingam, Natalia Causada Calo, Nauzer Forbes, Katarzyna Monika Pawlak, Kareem Khalaf, Rishad Khan and 9 more

Abstract read
In one paragraph

Article in Journal of the Canadian Association of Gastroenterology, 2024. 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

19 authors.

Mary Raina Angeli FujiyoshiDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.ORCID https://orcid.org/0000-0002-5860-9164
Yusuke FujiyoshiDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Nikko GimpayaDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Robert BecharaDivision of Gastroenterology, Queen's University, Sydenham 4, 166 Brock Street, Kingston, Ontario, Canada K7L 5G2.ORCID https://orcid.org/0000-0002-4543-5580
Thurarshen JeyalingamDivision of Gastroenterology, University Health Network, University of Toronto, 200 Elizabeth Street, Toronto, Ontario, Canada M5G 2C4.
Natalia Causada CaloDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Nauzer ForbesDivision of Gastroenterology, University of Calgary, 3280 Hospital Drive NW, Calgary, Alberta, Canada T2N 4Z6.
Katarzyna Monika PawlakDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Kareem KhalafDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.ORCID https://orcid.org/0000-0002-5534-7533
Rishad KhanDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Michael AtallaDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Akiko ToshimoriDigestive Diseases Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Koto-ku, Tokyo, Japan 135-8577.
Yuto ShimamuraDigestive Diseases Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Koto-ku, Tokyo, Japan 135-8577.
Mayo TanabeDigestive Diseases Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Koto-ku, Tokyo, Japan 135-8577.
Christopher TeshimaDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Jeffrey D MoskoDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Gary MayDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.
Haruhiro InoueDigestive Diseases Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Koto-ku, Tokyo, Japan 135-8577.
Samir C GroverDivision of Gastroenterology, St. Michael's Hospital, University of Toronto, 30 Bond Street, Toronto, Ontario, Canada, M5A 2H8.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and study aim: Magnifying endoscopy enables the diagnosis of advanced neoplasia throughout the gastrointestinal tract. The unified magnifying endoscopic classification (UMEC) framework unifies optical diagnosis criteria in the esophagus, stomach, and colon, dividing lesions into three categories: non-neoplastic, intramucosal neoplasia, and deep submucosal invasive cancer. This study aims to ascertain the performance of North American endoscopists when using the UMEC. Methods: In this retrospective cohort study, five North American endoscopists without prior training in magnifying endoscopy independently diagnosed images of gastrointestinal tract lesions using UMEC. All endoscopists were blinded to endoscopic findings and histopathological diagnosis. Using histopathology as the gold standard, the endoscopists' diagnostic performances using UMEC were evaluated. Results: A total of 299 lesions (77 esophagus, 92 stomach, and 130 colon) were assessed. For esophageal squamous cell carcinoma, the sensitivity, specificity, and accuracy ranged from 65.2% (95%CI: 50.9-77.9) to 87.0% (95%CI: 75.3-94.6), 77.4% (95%CI: 60.9-89.6) to 96.8% (95%CI: 86.8-99.8), and 75.3% to 87.0%, respectively. For gastric adenocarcinoma, the sensitivity, specificity, and accuracy ranged from 94.9% (95%CI: 85.0-99.1) to 100%, 52.9% (95%CI: 39.4-66.2) to 92.2% (95%CI: 82.7-97.5), and 73.3% to 93.3%. For colorectal adenocarcinoma, the sensitivity, specificity, and accuracy ranged from 76.2% (95%CI: 62.0-87.3) to 83.3% (95%CI: 70.3-92.5), 89.7% (95%CI: 82.1-94.9) to 97.7% (95%CI: 93.1-99.6), and 86.8% to 90.7%. Intraclass correlation coefficients indicated good to excellent reliability. Conclusion: UMEC is a simple classification that may be used to introduce endoscopists to magnifying narrow-band imaging and optical diagnosis, yielding satisfactory diagnostic accuracy.

Indexed as

diagnosisendoscopymagnifying NBI

Identifiers

PMID38841140
PMCPMC11149659

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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.