Evidence map›Paper›PMID 30284651›Full record

ArticleDigestive diseases and sciences2019

Dual Red Imaging Maintains Clear Visibility During Colorectal Endoscopic Submucosal Dissection.

Hidenori Tanaka, Shiro Oka, Shinji Tanaka, Kenta Matsumoto, Kazuki Boda, Ken Yamashita, Daiki Hirano, Kyoku Sumimoto, Yuzuru Tamaru, Yuki Ninomiya and 2 more

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Article in Digestive diseases and sciences, 2019. 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
–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

12 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Endoscopic submucosal dissection and tunneling procedures using novel image-enhanced technique.VideoGIE : an official video journal of the American Society for Gastrointestinal Endoscopy · 2022
    Article
  8. Article
  9. Review
  10. Article
  11. Review
  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

12 authors.

Hidenori TanakaDepartment of Endoscopy, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Shiro OkaDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan. oka4683@hiroshima-u.ac.jp.ORCID http://orcid.org/0000-0002-3646-5796
Shinji TanakaDepartment of Endoscopy, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kenta MatsumotoDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kazuki BodaDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Ken YamashitaDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Daiki HiranoDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kyoku SumimotoDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Yuzuru TamaruDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Yuki NinomiyaDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Nana HayashiDepartment of Endoscopy, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.
Kazuaki ChayamaDepartment of Gastroenterology and Metabolism, Hiroshima University Hospital, 1-2-3, Kasumi, Minamiku, Hiroshima, 734-8551, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe endoscopic lens becomes clouded and its visibility reduces during colorectal endoscopic submucosal dissection (ESD), especially in cases with submucosal fatty tissue. Dual red imaging (DRI) is a novel image-enhanced endoscopic technique that improves endoscopic visibility.

aimsThis study aimed to evaluate the predictive factors of submucosal fatty tissue and the clinical usefulness of DRI in maintaining clear visibility during colorectal ESD.

methodsThe study participants included 586 consecutive patients with 645 colorectal tumors who underwent ESD between January 2014 and July 2017. First, the degree of submucosal fatty tissue was evaluated by reviewing recorded images, and the clinical characteristics of the patients and tumors related to severe submucosal fatty tissue were evaluated. Second, 34 tumors resected using DRI were propensity score-matched in a 1:1 ratio to other resected tumors using white light imaging (WLI), and the degree of endoscope lens cloudiness and clinical outcomes were evaluated.

resultsThe proportion of tumors located in the right side of the colon, body mass index (≥ 25, BMI), and hemoglobin A1c (≥ 6.5%, HbA1c) were significantly higher in patients with severe submucosal fatty tissue. The visibility in the DRI group was significantly better than in the WLI group. Treatment outcomes in the DRI group were as good as those in the WLI group.

conclusionsTumor location in the right side of the colon, BMI (≥ 25), and HbA1c (≥ 6.5%) are the predictive factors of severe submucosal fatty tissue. DRI is useful in maintaining clear visibility during colorectal ESD, especially with submucosal fatty tissue.

Indexed as

Adipose TissueAgedAged, 80 and overBiomarkersBody Mass IndexColectomyColonoscopesColonoscopyColorectal NeoplasmsEndoscopic Mucosal ResectionFemaleGlycated HemoglobinHumansMaleMiddle AgedRetrospective StudiesBiomarkersGlycated Hemoglobinhemoglobin A1c protein, humanClear visibilityColorectal endoscopic submucosal dissectionDual red imagingEndoscope lens cloudinessSubmucosal fatty tissue

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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.