Literature DB >> 33223755

Classifying risk level of gastric cancer: Evaluation of questionnaire-based prediction model.

Maomao Cao1, He Li1, Dianqin Sun1, Lin Lei2, Jiansong Ren1, Jufang Shi1, Ni Li1, Ji Peng2, Wanqing Chen1.   

Abstract

OBJECTIVE: This study aimed at evaluating the efficacy of the questionnaire-based prediction model in an independent prospective cohort.
METHODS: A cluster-randomized controlled trial was conducted in Changsha, Harbin, Luoshan, and Sheyang in eastern China in 2015-2017. A total of 182 villages/communities were regarded as clusters, and allocated to screening arm or control arm randomly. Face-to-face interview through a questionnaire interview, including of relevant risk factors of gastric cancer, was administered for each subject. Participants were further classified into high-risk or low-risk groups based on their exposure to risk factors. All participants were followed up until December 31, 2019. Cumulative incidence rates from gastric cancer between high-risk and low-risk groups were calculated and compared using the log-rank test. Cox proportional hazard regression models were applied to estimate hazard ratio (HR) and 95% confidence interval (95% CI).
RESULTS: Totally, 89,914 residents were recruited with a mean follow-up of 3.47 years. And 42,015 (46.73%) individuals were classified into high-risk group and 47,899 (53.27%) subjects were categorized into low-risk group. Gastric cancer was diagnosed in 131 participants, of which 91 were in high-risk group. Compared with the low-risk participants, high-risk individuals were more likely to develop gastric cancer (adjusted HR=2.15, 95% CI, 1.23-3.76). The sensitivity of the questionnaire-based model was estimated at 61.82% (95% CI, 47.71-74.28) in a general population.
CONCLUSIONS: Our questionnaire-based model is effective at identifying high-risk individuals for gastric cancer.
Copyright © 2020 Chinese Journal of Cancer Research. All rights reserved.

Entities:  

Keywords:  China; Gastric cancer; risk assessment; risk factors

Year:  2020        PMID: 33223755      PMCID: PMC7666781          DOI: 10.21147/j.issn.1000-9604.2020.05.05

Source DB:  PubMed          Journal:  Chin J Cancer Res        ISSN: 1000-9604            Impact factor:   5.087


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