Evidence map›Paper›PMID 35310740›Full record

ArticleDEN open2022

Diagnosis of histological type of early gastric cancer by magnifying narrow-band imaging: A multicenter prospective study.

Takashi Kanesaka, Noriya Uedo, Hisashi Doyama, Naohiro Yoshida, Takashi Nagahama, Kensei Ohtsu, Kunihisa Uchita, Koji Kojima, Tetsuya Ueo, Haruhiko Takahashi and 4 more

Open access · goldAbstract read
In one paragraph

Article in DEN open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.2field-weighted citation impact, top 20% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Article
  4. Review
  5. Review
  6. Clinical Usefulness of Linked Color Imaging for Detection and Characterization of UndifferentiatedType Early Gastric Cancer.The Turkish journal of gastroenterology : the official journal of Turkish Society of Gastroenterology · 2023
    Article
  7. Observational
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

14 authors at 7 institutions in 1 country.

Takashi KanesakaDepartment of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.ORCID https://orcid.org/0000-0002-8197-2295
Noriya UedoDepartment of Gastrointestinal Oncology Osaka International Cancer Institute Osaka Japan.
Hisashi DoyamaDepartment of Gastroenterology Ishikawa Prefectural Central Hospital Ishikawa Japan.
Naohiro YoshidaDepartment of Gastroenterology Ishikawa Prefectural Central Hospital Ishikawa Japan.
Takashi NagahamaDepartment of Endoscopy Fukuoka University Chikushi Hospital Fukuoka Japan.
Kensei OhtsuDepartment of Endoscopy Fukuoka University Chikushi Hospital Fukuoka Japan.
Kunihisa UchitaDepartment of Gastroenterology Kochi Red Cross Hospital Kochi Japan.
Koji KojimaDepartment of Gastroenterology Kochi Red Cross Hospital Kochi Japan.
Tetsuya UeoDepartment of Gastroenterology Oita Red Cross Hospital Oita Japan.
Haruhiko TakahashiDepartment of Gastroenterology Oita Red Cross Hospital Oita Japan.ORCID https://orcid.org/0000-0001-6352-1741
Hiroya UeyamaDepartment of Gastroenterology Juntendo University School of Medicine Tokyo Japan.
Yoichi AkazawaDepartment of Gastroenterology Juntendo University School of Medicine Tokyo Japan.ORCID https://orcid.org/0000-0001-9343-5262
Toshio ShimokawaClinical Study Support Center Wakayama Medical University Hospital Wakayama Japan.
Kenshi YaoDepartment of Endoscopy Fukuoka University Chikushi Hospital Fukuoka Japan.
Fukuoka University · JPIshikawa Prefectural Central Hospital · JPJapanese Red Cross Kochi Hospital · JPJuntendo University · JPOita Red Cross Hospital · JPOsaka International Cancer Institute · JPWakayama Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: Distinguishing undifferentiated-type from differentiated-type early gastric cancers (EGC) is crucial for determining the indication of endoscopic resection. We aimed to investigate the diagnostic performance of white-light endoscopy (WLE) and magnifying narrow-band imaging (M-NBI) for the histological type of EGC. Methods: In this multicenter prospective study, patients with histologically proven cT1 EGC, macroscopically depressed or flat type, size ≥5 mm, and without erosion/ulcer, were recruited. The diagnostic criterion of WLE for undifferentiated-type EGC was pale color. The M-NBI algorithm was created based on microsurface and microvascular patterns, and lesions with absent microsurface pattern and opened-loop microvascular patterns were diagnosed as undifferentiated-type. The center of the lesion was defined as the evaluation point and was initially evaluated by WLE, then by M-NBI, and a biopsy specimen was taken as a reference standard. The primary and key secondary endpoints were overall diagnostic accuracy and specificity, respectively. Results: In total, 167 lesions (122 differentiated-type and 45 undifferentiated-type EGCs) in 167 patients were analyzed. The overall accuracy, sensitivity, specificity, and positive likelihood ratio of WLE for undifferentiated-type cancer were 80%, 69%, 84%, and 4.4, respectively, and those of M-NBI were 82%, 53%, 93%, and 7.2, respectively. There was no significant difference in overall accuracy ( Conclusions: The use of M-NBI did not improve the accuracy of WLE for the diagnosis of depressed/flat undifferentiated-type EGCs but improved the specificity. It may reduce surgical overtreatment by preventing misdiagnosis of differentiated-type EGC as undifferentiated-type.

Indexed as

diagnosisendoscopygastric cancerprospective study

Identifiers

PMID35310740
PMCPMC8828242
OpenAlexW3202178995

What OpenQuestion holds

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LicenceCC BY
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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.