ArticleChinese journal of cancer research = Chung-kuo yen cheng yen chiu2025
Enhancing diagnostic accuracy: Role of stomach-specific serum biomarkers in real-world risk-based sequential screening for malignant gastric lesions.
Article in Chinese journal of cancer research = Chung-kuo yen cheng yen chiu, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed.
- Expert consensus on multidisciplinary management of laparoscopic-endoscopic cooperative surgery combined with sentinel lymph node navigation surgery for early gastric cancer (2026 edition).Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2026Article
- Association Between Physical Activity and Anxiety in A Rural Chinese Middle-Aged and Older Cohort.Journal of multidisciplinary healthcare · 2026Article
- Serology and magnetically controlled capsule gastroscopy for opportunistic screening of high-risk events in gastric cancer development: a cross-sectional study.Frontiers in medicine · 2026Article
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15 authors.
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Abstract
Objective: A risk-based sequential screening strategy, from questionnaire-based assessment to biomarker measurement and then to endoscopic examination, has the potential to enhance gastric cancer (GC) screening efficiency. We aimed to evaluate the ability of five common stomach-specific serum biomarkers to further enrich high-risk individuals for GC in the questionnaire-identified high-risk population. Methods: This study was conducted based on a risk-based screening program in Ningxia Hui Autonomous Region, China. We first performed questionnaire assessment involving 23,381 individuals (7,042 outpatients and 16,339 individuals from the community), and those assessed as "high-risk" were then invited to participate in serological assays and endoscopic examinations. The serological biomarker model was derived based on logistic regression, with predictors selected via the Akaike information criterion. Model performance was evaluated by the area under the receiver operating characteristic curve (AUC). Results: A total of 2,011 participants were ultimately included for analysis. The final serological biomarker model had three predictors, comprising pepsinogen I (PGI), pepsinogen I/II ratio (PGR), and anti- Conclusions: PGI, PGR, and anti-
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