ReviewGut and liver2021
Image-Enhanced Endoscopy and Its Corresponding Histopathology in the Stomach.
Review in Gut and liver, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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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.
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Who cites it
13 citing papers in PubMed, 16 citations in OpenAlex.
- Endoscopic grading of gastric intestinal metaplasia and microvascular pattern for assessing gastric cancer risk: a prospective study.Annals of medicine · 2026Article
- Early Detection of Gastric Cancer: Linking Epidemiology, Pathophysiology, and Innovations in Digestive Endoscopy.Diseases (Basel, Switzerland) · 2026Review
- Prevention of Gastric Cancer.Medicina (Kaunas, Lithuania) · 2026Review
- Risk prediction model for precancerous gastric lesions based on magnifying endoscopy combined with narrow-band imaging features.Frontiers in oncology · 2025Article
- A deep learning approach for gastroscopic manifestation recognition based on Kyoto Gastritis Score.Annals of medicine · 2024Article
- Hemorrhagic Shock Caused by Spontaneous Bleeding from Early Gastric Cancer Was Successfully Cured by Emergency Endoscopic Submucosal Dissection: A Case Report.Clinical medicine insights. Case reports · 2024Article
- 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 · 2023Article
- [Approach for the Management of Indefinite-for-neoplasia Lesions Detected on Gastric Mucosal Biopsy].The Korean journal of helicobacter and upper gastrointestinal research · 2023Review
- Evaluation of the detection rate of high‑grade gastric intraepithelial neoplasia using linked color imaging and white light imaging.Experimental and therapeutic medicine · 2023Article
- Current Status of Artificial Intelligence-Based Computer-Assisted Diagnosis Systems for Gastric Cancer in Endoscopy.Diagnostics (Basel, Switzerland) · 2022Review
- Innovation in Gastroenterology-Can We Do Better?Biomimetics (Basel, Switzerland) · 2022Article
- "Pink Pattern" Visualized in Magnifying Endoscopy With Narrow-Band Imaging Is a Novel Feature of Early Differentiated Gastric Cancer: A Bridge Between Endoscopic Images and Histopathological Changes.Frontiers in medicine · 2021Article
- Controversies in EUS: Do we need miniprobes?Endoscopic ultrasoundArticle
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In recent years, the technological innovation and progress of endoscopic equipment have been remarkable, and various endoscopic observation techniques have been developed. Among them, representative techniques are magnified observation and narrow-band imaging. Magnifying endoscopy with narrow-band imaging (M-NBI) can visualize superficial microanatomies in the stomach. The normal morphology of the microanatomy visualized using M-NBI differs according to the part of the stomach. The vessel plus surface (VS) classification system has been developed as a diagnostic criterion for early gastric cancer using M-NBI, and its usefulness has been proven. Based on the VS classification system, a magnifying endoscopy simple diagnostic algorithm for early gastric cancer (MESDA-G), a simplified algorithm used for early gastric cancer diagnosis, was created. We aimed to describe the anatomic structure of the stomach that can be viewed using M-NBI and outline the principles and clinical application of the VS classification system and MESDA-G.
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Registered trials
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.