ReviewCancers2023
Endoscopic Imaging for the Diagnosis of Neoplastic and Pre-Neoplastic Conditions of the Stomach.
Review in Cancers, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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.
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.
Who cites it
14 citing papers in PubMed, 14 citations in OpenAlex.
- Blindly Trusting the Stage: The Therapeutic Consequences of Clinical Staging Inaccuracy in Gastric Cancer.Annals of surgical oncology · 2026Article
- Management of Gastric Precancerous Lesions and Early Cancer: Practice-Oriented Answers to Clinical Questions.Cancers · 2026Review
- Application of Artificial Intelligence in the Endoscopic Diagnosis of Gastric Cancer and Precancerous Lesions.Diagnostics (Basel, Switzerland) · 2026Review
- The prevalence of gastric intestinal metaplasia in the Saudi population: a single-tertiary center retrospective study.Journal of gastrointestinal oncology · 2026Article
- Comprehensive Overview of Gastric Cancer Immunohistochemistry: Key Biomarkers, Advanced Detection Methods, and Perspectives.Medicina (Kaunas, Lithuania) · 2026Review
- Artificial intelligence in gastric cancer research: a bibliometric and visualized analysis from 1993 to 2026.Frontiers in oncology · 2026Review
- Listening to the Past, Shaping the Future: A Data-mining Based and Visual Analysis of Five Decades of Gastric Carcinogenesis Research.Biological procedures online · 2025Article
- Delayed Presentation of Metastatic Breast Cancer Masquerading as Nonspecific Gastritis.ACG case reports journal · 2025Article
- Patterns of sialyl-Lewis X expression predict gastric histopathology.Diagnostic pathology · 2025Article
- The risk and distribution of second primary cancers according to subsite of primary stomach cancer: a retrospective cohort population-based study.Annals of medicine and surgery (2012) · 2024Article
- Chronic Atrophic Gastritis and Intestinal Metaplasia: A Latin American Perspective.The Korean journal of helicobacter and upper gastrointestinal research · 2024Review
- Endoscopic and clinicopathological features of early gastric papillary adenocarcinoma.Frontiers in oncology · 2024Article
- Gastric cancer: an overview.Revista da Associacao Medica Brasileira (1992) · 2024Review
- Histopathological Evaluation of Gastric Mucosal Atrophy for Predicting Gastric Cancer Risk: Problems and Solutions.Diagnostics (Basel, Switzerland) · 2023Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Gastric cancer is an aggressive disease with low long-term survival rates. An early diagnosis is essential to offer a better prognosis and curative treatment. Upper gastrointestinal endoscopy is the main tool for the screening and diagnosis of patients with gastric pre-neoplastic conditions and early lesions. Image-enhanced techniques such as conventional chromoendoscopy, virtual chromoendoscopy, magnifying imaging, and artificial intelligence improve the diagnosis and the characterization of early neoplastic lesions. In this review, we provide a summary of the currently available recommendations for the screening, surveillance, and diagnosis of gastric cancer, focusing on novel endoscopy imaging technologies.
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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.