ArticleGut2019
Development and validation of a prediction rule for estimating gastric cancer risk in the Chinese high-risk population: a nationwide multicentre study.
Article in Gut, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT04986215 (Research on the Value of Genomics Research Based on Ultrasound Endoscopic Biopsy in the Differential Diagnosis and Prognostic Evaluation of Pancreatic Occupancy), which is not on this map. Cited by 123 papers, 3 of them syntheses that pooled 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.
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.
Research on the Value of Genomics Research Based on Ultrasound Endoscopic Biopsy in the Differential Diagnosis and Prognostic Evaluation of Pancreatic Occupancy
Who cites it
123 citing papers in PubMed, 3 syntheses or guidelines pooled it, 215 citations in OpenAlex.
- Diagnostic Risk Prediction Models for Upper Gastrointestinal Cancers: A Systematic Review.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Pooled it
- Efficacy and safety of probiotics combined with bismuth-containing quadruple therapy forFrontiers in microbiology · 2025Pooled it
- Association of Fried Food Intake with Gastric Cancer Risk: A Systemic Review and Meta-Analysis of Case-Control Studies.Nutrients · 2023Pooled it
- Yiwei Xiaoyu granules for treatment of chronic atrophic gastritis with deficiency syndrome of the spleen and stomach.World journal of clinical cases · 2024Trial
- Establishment and Validation of a Pathologic Upgrade Prediction Nomogram Model for Gastric Low-Grade Intraepithelial Neoplasia Patients After the Eradication ofCancer control : journal of the Moffitt Cancer CenterTrial
- Comprehensive analysis of the gastric metatranscriptome reveals specific viral signatures associated with gastric cancer.International microbiology : the official journal of the Spanish Society for Microbiology · 2026Article
- Core gastric microbiota linked to pathogenesis and preserved across age-stratified cohorts.Cell reports. Medicine · 2026Article
- Application of Artificial Intelligence in the Endoscopic Diagnosis of Gastric Cancer and Precancerous Lesions.Diagnostics (Basel, Switzerland) · 2026Review
- Plasma proteomic signatures improve risk stratification and personalized screening for gastric cancer.Gastric cancer : official journal of the International Gastric Cancer Association and the Japanese Gastric Cancer Association · 2026Article
- Serum pepsinogen Ⅰ and the pepsinogen Ⅰ/Ⅱ ratio as a non-invasive predictive marker for autoimmune metaplastic atrophic gastritis.Journal of translational autoimmunity · 2026Article
- Divergent roles of endoscopic Kyoto classification and serological Li's scoring in immediate and long-term gastric cancer risk stratification: a 4-year longitudinal study.BMC gastroenterology · 2026Article
- Early detection of gastric cancer with the assistance of cell-free DNA fragmentomics.Clinical epigenetics · 2026Article
- The YY1-KIF15-PRDX1 axis promotes gastric cancer progression by inducing mitochondrial ROS imbalance.Oncogene · 2026Article
- Impact of a pro-inflammatory diet on upper gastrointestinal cancer risk: evidence from a population-based cohort in high-risk areas of China.European journal of nutrition · 2026Article
- Development and validation of a novel blood-based biomarker for gastric cancer triage in chronic dyspepsia.NPJ digital medicine · 2026Article
- Towards deep-learning based detection and quantification of intestinal metaplasia on digitized gastric biopsies: a multi-expert comparative study.Scientific reports · 2026Article
- Diagnostic value of non-magnifying gastroscopy followed by targeted biopsy for detection of early gastric cancer: Multicenter prospective study.Endoscopy international open · 2026Article
- Systemic serological signatures and novel biomarker CST4 link CagA-positiveFrontiers in cellular and infection microbiology · 2026Article
- ALKBH5-mediated m6A demethylation of TXNDC5 drives malignant progression in gastric cancer.Epigenomics · 2026Article
- Construction and validation of a nomogram for predicting pathological upgrading/progression of gastric low-grade intraepithelial neoplasia.Frontiers in medicine · 2026Article
63 more citing papers are in PubMed but not listed here.
Corrections and comments
- Commented on by
Authors and funding
31 authors at 20 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop a gastric cancer (GC) risk prediction rule as an initial prescreening tool to identify individuals with a high risk prior to gastroscopy.
designThis was a nationwide multicentre cross-sectional study. Individuals aged 40-80 years who went to hospitals for a GC screening gastroscopy were recruited. Serum pepsinogen (PG) I, PG II, gastrin-17 (G-17) and anti-
resultsThe novel GC risk prediction rule comprised seven variables (age, sex, PG I/II ratio, G-17 level,
conclusionsThe developed and validated prediction rule showed good performance on identifying individuals at a higher risk in a Chinese high-risk population. Future studies are needed to validate its efficacy in a larger population.
Indexed as
Identifiers
What OpenQuestion holds
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.