Evidence map›Paper›PMID 34691809›Full record

ArticleJournal of gastric cancer2021

Diagnostic Ability of High-definition Imaging Using Ultraslim Endoscopes in Early Gastric Cancer.

Tomomi Sugita, Sho Suzuki, Ryoji Ichijima, Kanako Ogura, Chika Kusano, Hisatomo Ikehara, Takuji Gotoda, Mitsuhiko Moriyama

Open access · hybridAbstract read
In one paragraph

Article in Journal of gastric cancer, 2021. 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
0.3field-weighted citation impact, top 40% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Diagnostic performance of deep-learning-based virtual chromoendoscopy in gastric neoplasms.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2024
    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

8 authors at 2 institutions in 1 country.

Tomomi SugitaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3528-9233
Sho SuzukiDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0003-4831-1409
Ryoji IchijimaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-5977-3660
Kanako OguraDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-8447-3777
Chika KusanoDepartment of Gastroenterology, Internal Medicine, Kitasato University School of Medicine, Sagamihara, Japan.ORCID https://orcid.org/0000-0002-3789-4787
Hisatomo IkeharaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-9239-7495
Takuji GotodaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0001-6904-6777
Mitsuhiko MoriyamaDivision of Gastroenterology and Hepatology, Department of Medicine, Nihon University School of Medicine, Tokyo, Japan.ORCID https://orcid.org/0000-0002-4617-508X
Nihon University · JPKitasato University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeIt is unclear whether high-definition (HD) imaging improves visibility and diagnostic ability in early gastric cancer (EGC) compared with standard-definition (SD) imaging. We aimed to compare the diagnostic performance and visibility scores of HD and SD ultraslim endoscopes in EGC. MATERIALS AND

methodsWe used HD and SD ultraslim endoscopes to obtain 60 images with similar compositions of gastric environments. Of the 60 images, 30 showed EGC (15 images for each modality) and 30 showed no EGC (15 images for each modality). Seventeen endoscopists evaluated the presence and location of the lesions in each image. Diagnostic ability was compared between modalities. The color difference between a lesion and the surrounding mucosa (ΔE) was measured and compared between the modalities.

resultsThe ability of HD to detect EGC was significantly higher than that of SD (accuracy: 80.8% vs. 71.6%, P=0.017; sensitivity: 94.9% vs. 76.5%, P<0.001; positive predictive value, 76.2% vs. 55.3%, P<0.001; and negative predictive value (NPV), 94.1% vs. 73.5%, P<0.001). The ability of HD to determine the horizontal extent of EGC was significantly higher than that of SD (accuracy: 71.0% vs. 57.8%, P=0.004; sensitivity: 75.3% vs. 49.0%, P<0.001; NPV, 72.9% vs. 55.9%, P<0.001; and area under the curve: 0.891 vs. 0.631, P=0.038). The mean ΔE was significantly higher for HD than for SD (10.3 vs. 5.9, P=0.011).

conclusionsThe HD ultraslim endoscope showed a higher diagnostic performance in EGC than the SD endoscope because it provided good color contrast.

Indexed as

DiagnosisDiagnostic imagingEndoscopyGastric cancerScreening

Identifiers

PMID34691809
PMCPMC8505118
OpenAlexW3190215497

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.