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Stomach Cancer Prediction Model (SCoPM): An approach to risk stratification in a diverse U.S. population

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  • Bechien U Wu
  • Elizabeth Y Dong
  • Qiaoling Chen
  • Tiffany Q Luong
  • Eva Lustigova
  • Christie Y Jeon
  • Wansu Chen

Abstract

Background and aims: Population-based screening for gastric cancer (GC) in low prevalence nations is not recommended. The objective of this study was to develop a risk-prediction model to identify high-risk patients who could potentially benefit from targeted screening in a racial/ethnically diverse regional US population. Methods: We performed a retrospective cohort study from Kaiser Permanente Southern California from January 2008-June 2018 among individuals age ≥50 years. Patients with prior GC or follow-up

Suggested Citation

  • Bechien U Wu & Elizabeth Y Dong & Qiaoling Chen & Tiffany Q Luong & Eva Lustigova & Christie Y Jeon & Wansu Chen, 2024. "Stomach Cancer Prediction Model (SCoPM): An approach to risk stratification in a diverse U.S. population," PLOS ONE, Public Library of Science, vol. 19(5), pages 1-14, May.
    • Handle: RePEc:plo:pone00:0303153
    DOI: 10.1371/journal.pone.0303153
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