ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2017
Factors associated with gastric adenocarcinoma and dysplasia in patients with chronic gastritis: a population-based study.
Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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20 citing papers in PubMed.
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- A preliminary probabilistic nomogram model for predicting renal arteriolar damage in IgA nephropathy from clinical parameters.Frontiers in immunology · 2024Article
- The gut microbiota metabolite capsiate regulate SLC2A1 expression by targeting HIF-1α to inhibit knee osteoarthritis-induced ferroptosis.Aging cell · 2023Article
- Chinese integrated guideline on the management of gastric precancerous conditions and lesions.Chinese medicine · 2022Review
- Sociodemographic disparities in gastric cancer and the gastric precancerous cascade: A population-based study.The Lancet regional health. Western Pacific · 2022Article
- The role of vitamin D on rotator cuff tear with osteoporosis.Frontiers in endocrinology · 2022Article
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- Genetic variation within the pri-let-7f-2 in the X chromosome predicting stroke risk in a Chinese Han population from Liaoning, China: From a case-control study to a new predictive nomogram.Frontiers in medicine · 2022Article
- CircNPHP4 in monocyte-derived small extracellular vesicles controls heterogeneous adhesion in coronary heart atherosclerotic disease.Cell death & disease · 2021Article
- Nomograms for Predicting Non-remission in Patients Who Underwent Bariatric Surgery: A Multicenter Retrospective Study in China.Obesity surgery · 2021Article
- Development of a Novel Nomogram for Predicting Premature Rupture of Membrane in Pregnant Women With Vulvovaginal Candidiasis.Frontiers in medicine · 2021Article
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- Predicting Risk of Insulin Resistance in a Chinese Population with Polycystic Ovary Syndrome: Designing and Testing a New Predictive Nomogram.BioMed research international · 2020Article
- The potential role ofInfectious agents and cancer · 2019Review
- Predicting medication nonadherence risk in a Chinese inflammatory rheumatic disease population: development and assessment of a new predictive nomogram.Patient preference and adherence · 2018Article
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveGastric cancer (GC) is one of the leading causes of death in China and other Asian countries. Recently, gastric endoscopy has become the main approach for GC screening, but the identification of high-risk individuals remains a challenge in GC screening programs.
methodsThere were 7,302 patients with chronic gastritis involved in this study. Endoscopic examinations were performed, and their demographic characteristics and lifestyle data were collected. Each possible associated factor of GC/premalignant and precursor lesions was evaluated by univariate and multivariate logistic regressions. Nomograms were used for visualization of those models, and receiver operating characteristic (ROC) curve analysis was used to present the predictive accuracy.
resultsWe detected 8 (0.11%) gastric adenocarcinomas, 17 (0.23%) dysplasia cases, 14 (0.19%) hyperplasia cases, 52 (0.71%) intestinal metaplasia cases, 217 (2.97%) inflammatory lesions, 141 (1.93%) gastric ulcers, 10 (0.14%) atrophic gastritis cases, 1,365 (18.69%) erosive gastritis cases, and 5,957 (81.58%) superficial gastritis cases in 7,302 patients. The age (P<0.001), gender (P=0.086), labor intensity (P=0.018) and leek food intake (P=0.143) were identified as independent predictive factors of GC/premalignant lesions possibility. The corresponding nomogram exhibited an area under the curve (AUC) [95% confidence interval (95% CI)] of 0.82 (0.74-0.89) for the modeling group and 0.80 (0.75-0.85) for the validation group. The age (P=0.002), gender (P=0.024), smoking (P=0.002) and leek food intake (P=0.039) were independent predictive factors of precursor lesions possibility. The corresponding nomogram exhibited an AUC (95% CI) of 0.62 (0.60-0.65) for the modeling group and 0.61 (0.59-0.63) for the validation group.
conclusionsWe identified several potential associated factors and provided a preclinical nomogram with the potential to predict the possibility of GC/premalignant and precursor lesions.
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