Evidence map›Paper›PMID 32909283›Full record

ArticleDigestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society2021

Artificial intelligence-assisted endoscopy changes the definition of mucosal healing in ulcerative colitis.

Hiroshi Nakase, Takehiro Hirano, Kohei Wagatsuma, Tadashi Ichimiya, Tsukasa Yamakawa, Yoshihiro Yokoyama, Yuki Hayashi, Daisuke Hirayama, Tomoe Kazama, Shinji Yoshii and 1 more

Abstract read
In one paragraph

Article in Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  7. Artificial intelligence quantifying endoscopic severity of ulcerative colitis in gradation scale.Digestive endoscopy : official journal of the Japan Gastroenterological Endoscopy Society · 2024
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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

11 authors.

Hiroshi NakaseDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.ORCID https://orcid.org/0000-0003-2848-6586
Takehiro HiranoDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Kohei WagatsumaDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Tadashi IchimiyaDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Tsukasa YamakawaDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Yoshihiro YokoyamaDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Yuki HayashiDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Daisuke HirayamaDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Tomoe KazamaDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.
Shinji YoshiiDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.ORCID https://orcid.org/0000-0002-5010-8357
Hiro-O YamanoDepartment of Gastroenterology and Hepatology, Sapporo Medical University School of Medicine, Hokkaido, Japan.

Funding

Health and Labour Sciences Research Grants for research on intractable diseases from the Ministry of Health, Labour and Welfare of Japan (Investigation and Research for intractable Inflammatory Bowel Disease )Japan Society for the Promotion of Science (JSPS) Grants-in-Aid for Scientific Research (KAKENHI) JP18H02799
6 · The paper itself

Abstract

The relevance of endoscopic monitoring of ulcerative colitis (UC) has been translated into the new concept of "mucosal healing (MH)" as the therapeutic goal to achieve because a large amount of scientific data have revealed the favorable prognostic value of a healed mucosa in determining the clinical outcome of UC. Recent interest in MH has skewed toward not only endoscopic remission but also histological improvement (so called histological MH). However, we should recognize that there have been no prospectively validated endoscopic scoring systems of UC activity in previous clinical trials. Artificial intelligence (AI)-assisted endoscopy has been developed for gastrointestinal cancer surveillance. Recently, several AI-assisted endoscopic systems have been developed for assessment of MH in UC. In the future, the development of a new endoscopic scoring system based on AI might standardize the definition of MH. Therefore, "The road to an exact definition of MH in the treatment of UC has begun only now".

Indexed as

Colitis, UlcerativeArtificial IntelligenceColonoscopyEndoscopyHumansIntestinal MucosaSeverity of Illness IndexWound Healingartificial intelligencehistological healingmucosal healingred density systemulcerative colitis

Identifiers

PMID32909283
PMCPMC8647580

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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.