Evidence map›Paper›PMID 37955761›Full record

ArticleDigestive diseases and sciences2024

Red Dichromatic Imaging Improves the Recognition of Bleeding Points During Endoscopic Submucosal Dissection.

Yosuke Mori, Taro Iwatsubo, Akitoshi Hakoda, Shin Kameishi, Kazuki Takayama, Shun Sasaki, Ryoji Koshiba, Shinya Nishida, Satoshi Harada, Hironori Tanaka and 7 more

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Article in Digestive diseases and sciences, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.2field-weighted citation impact, top 12% of its field
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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Observational
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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

17 authors at 6 institutions in 1 country.

Yosuke MoriSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Taro IwatsuboSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan. tarou.iwatsubo@ompu.ac.jp.ORCID http://orcid.org/0000-0001-7721-8292
Akitoshi HakodaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Shin KameishiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Kazuki TakayamaDepartment of Gastroenterology, First Towakai Hospital, Takatsuki, Osaka, Japan.
Shun SasakiDepartment of Gastroenterology, First Towakai Hospital, Takatsuki, Osaka, Japan.
Ryoji KoshibaDepartment of Gastroenterology, Midorigaoka Hospital, Takatsuki, Osaka, Japan.
Shinya NishidaDepartment of Gastroenterology, Midorigaoka Hospital, Takatsuki, Osaka, Japan.
Satoshi HaradaDepartment of Gastroenterology, Katsuragi Hospital, Kishiwada, Osaka, Japan.
Hironori TanakaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Noriaki SugawaraSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Kazuhiro OtaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Shinpei KawaguchiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Yuichi KojimaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Toshihisa TakeuchiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Kazuhide HiguchiSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Hiroki NishikawaSecond Department of Internal Medicine, Osaka Medical and Pharmaceutical University, Takatsuki, Osaka, Japan.
Osaka University of Pharmaceutical Sciences · JPMidorigaoka Hospital · JPTakatsuki General Hospital · JPTohoku Medical and Pharmaceutical University Hospital · JPFutaba clinic · JPMorinomiya Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPrevious studies have indicated that red dichromatic imaging (RDI) improved the visibility of gastrointestinal bleeding.

aimsTo investigate the recognition of bleeding points during endoscopic submucosal dissection (ESD) under RDI compared with that under white light imaging (WLI).

methodsConsecutive patients scheduled to undergo esophageal or gastric ESD at a single center were enrolled. Paired videos of active bleeding during ESD under WLI and RDI were created. Six endoscopists identified the virtual hemostasis point on still images after random video viewing. The distance between virtual hemostasis and actual bleeding points was scored in four levels (0-3 points), and the association with the color value was analyzed in both WLI and RDI.

resultsWe evaluated 116 videos for 58 bleeding points. The median visibility score and recognition rate were significantly higher for RDI than for WLI (2.17 vs. 1.42, p < 0.001 and 62.1% vs 27.6%, p < 0.001). Additionally, the recognition rate of trainees in RDI was higher than that of experts in WLI (60.3% vs. 43.1%, p = 0.067). The median color difference of RDI was significantly higher than that of WLI (8.97 vs. 3.69, p < 0.001). Furthermore, the correlation coefficient between the visibility score and color difference was 0.712 (strong correlation).

conclusionRDI can provide better recognition of bleeding points than WLI during ESD. Therefore, further studies are warranted to investigate whether RDI improves ESD outcomes.

Indexed as

Endoscopic Mucosal ResectionStomach NeoplasmsEsophagusGastrointestinal HemorrhageHumansStomachBleedingEndoscopic submucosal dissectionEsophagusRed dichromatic imaging

Identifiers

PMID37955761
OpenAlexW4388628123

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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.