Evidence map›Paper›PMID 37237177›Full record

ArticleScientific reports2023

Red dichromatic imaging improves visibility of bleeding during gastric endoscopic submucosal dissection.

Kohei Oka, Naoto Iwai, Takashi Okuda, Toshifumi Tsuji, Hiroaki Sakai, Chie Hattori, Masashi Taniguchi, Tasuku Hara, Toshiyuki Komaki, Junichi Sakagami and 3 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.4field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 13 citations in OpenAlex.

  1. Trial
  2. Review
  3. Observational
  4. Article
  5. Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. 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

13 authors at 2 institutions in 1 country.

Kohei OkaDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Naoto IwaiDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan. na-iwai@koto.kpu-m.ac.jp.
Takashi OkudaDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Toshifumi TsujiDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Hiroaki SakaiDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Chie HattoriDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Masashi TaniguchiDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Tasuku HaraDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Toshiyuki KomakiDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Junichi SakagamiDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Keizo KagawaDepartment of Gastroenterology and Hepatology, Fukuchiyama City Hospital, 231 Atsunakamachi, Fukuchiyama-City, Kyoto, 620-8505, Japan.
Osamu DohiDepartment of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Yoshito ItohDepartment of Molecular Gastroenterology and Hepatology, Graduate School of Medical Science, Kyoto Prefectural University of Medicine, Kyoto, Japan.
Fukuyama City Hospital · JPKyoto Prefectural University of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bleeding frequently occurs during gastric endoscopic submucosal dissection (ESD) and bleeding points are sometimes difficult to detect. Red dichromatic imaging (RDI) was recently developed to improve the visibility of bleeding. Our study aimed at examining the efficacy of RDI in improving the visibility of bleeding during gastric ESD. We retrospectively evaluated the visibility score and color difference of bleeding spot during gastric ESD during September 2020-January 2021. The visibility score was evaluated as four numeric values by operators, and the color difference between the bleeding spot and surroundings was evaluated using RDI and white light imaging (WLI). A further analysis to evaluate bleeding characteristics was performed to evaluate the possible beneficial effects of RDI. Twenty patients with a total of 85 bleedings were analyzed. The mean visibility score in RDI was significantly higher than that in WLI (3.69 ± 0.60 vs 3.20 ± 0.84, p < 0.01). The color difference with RDI was also significantly higher than that with WLI (19.51 ± 15.18 vs 14.80 ± 7.41, p < 0.01). Furthermore, in the bleedings with a higher visibility score in RDI, the color difference in RDI was significantly higher than that in WLI (23.99 ± 19.29 vs 14.33 ± 7.08, p < 0.01). The multivariate analysis of visibility scores revealed that submergence of bleeding points was independently associated with the superiority of RDI (odds ratio 10.35, 95% confidence interval: 2.76-38.81, p < 0.01). Our study demonstrates that RDI can improve the visibility of bleeding during gastric ESD.

Indexed as

Endoscopic Mucosal ResectionStomach NeoplasmsGastric MucosaHemorrhageHumansRetrospective StudiesStomach

Identifiers

PMID37237177
PMCPMC10219943
OpenAlexW4378473291

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.