Evidence map›Paper›PMID 41647690›Full record

ArticleDEN open2026

Third-Generation Narrow-Band Imaging Versus White-Light Imaging for the Detection of Early Gastric Cancer: A Randomized Controlled Study.

Yukihisa Fujinaga, Hitoshi Mori, Masayoshi Takami, Hiroyuki Masuda, Jun-Ichi Hanatani, Satoshi Iwai, Shohei Asada, Akihiko Shibamoto, Yuki Tsuji, Koh Kitagawa and 6 more

Abstract read
In one paragraph

Article in DEN open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

16 authors.

Yukihisa FujinagaDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Hitoshi MoriDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Masayoshi TakamiDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Hiroyuki MasudaDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Jun-Ichi HanataniDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Satoshi IwaiDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Shohei AsadaDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Akihiko ShibamotoDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Yuki TsujiDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Koh KitagawaDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.ORCID https://orcid.org/0000-0001-5794-1512
Norihisa NishimuraDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Shinya SatoDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Kosuke KajiDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Tadashi NamisakiDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.
Akira MitoroDivision of Endoscopy Nara Medical University Nara Japan.
Hitoshi YoshijiDepartment of Gastroenterology Nara Medical University Kashihara, Nara Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The endoscopic system EVIS X1 with improved image quality has been introduced into clinical practice. We examined whether third-generation narrow-band imaging (3G-NBI) is more effective than white-light imaging (WLI) for detecting early gastric cancer (EGC). Methods: Our study, performed at a single center, had a parallel-group, open-label, two-arm, randomized, controlled design. Patients who had undergone endoscopic submucosal dissection for EGC were randomly assigned to a group undergoing 3G-NBI after initial WLI (initial WLI group) or a group undergoing WLI after initial 3G-NBI (initial 3G-NBI group). The primary endpoint was the EGC detection rate of the two methods. The secondary endpoints were as follows: proportions of EGC detected and missed lesions, positive predictive value (PPV) for EGC diagnosis, and observation time for WLI and 3G-NBI. Results: The EGC detection rate was 9.0% (17/188) in the initial WLI group and 8.5% (16/188) in the initial 3G-NBI group. The missed lesion rate was 5.6% (1/18) in the initial WLI group and 0% (0/18) in the initial 3G-NBI group. The PPV of the initial WLI group was 42.5% (17/40), whereas that of the secondary 3G-NBI was 25% (1/4). The PPV of the initial 3G-NBI group was 30.2% (16/53). No biopsies were performed during secondary WLI. The examination times were 274 ± 78.2 and 280 ± 82.9 s for WLI and 3G-NBI, respectively. Conclusions: 3G-NBI was not superior to WLI in detecting EGC. This finding is likely due to improved WLI image quality.

Indexed as

detection rate of early gastric cancergastric cancergastrointestinal endoscopynarrow‐band imagingwhite‐light imaging

Identifiers

PMID41647690
PMCPMC12872114

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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.