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Development and external validation of a quantitative diagnostic model for malignant gastric lesions in clinical opportunistic screening: A multicenter real-world study.
Zheng, Hongchen; Liu, Zhen; Chen, Yun; Ji, Ping; Fang, Zhengyu; He, Yujie; Guo, Chuanhai; Xiao, Ping; Wang, Chengwen; Yin, Weihua; Li, Fenglei; Chen, Xiujian; Liu, Mengfei; Pan, Yaqi; Liu, Fangfang; Liu, Ying; He, Zhonghu; Ke, Yang.
Afiliação
  • Zheng H; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Liu Z; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Chen Y; Department of Ultrasound, Peking University Shenzhen Hospital, Shenzhen, Guangdong 516473, China.
  • Ji P; Shenzhen Key Laboratory for Drug Addiction and Medication Safety, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China.
  • Fang Z; Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China.
  • He Y; Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China.
  • Guo C; Endoscopy Center, Hua County People's Hospital, Anyang, Henan 456483, China.
  • Xiao P; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Wang C; Clinical Research Institute, Shenzhen Peking University-Hong Kong University of Science and Technology Medical Center, Shenzhen, Guangdong 516473, China.
  • Yin W; Endoscope Group, Department of Gastroenterology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 516473, China.
  • Li F; Department of Pathology, Peking University Shenzhen Hospital, Shenzhen, Guangdong 516473, China.
  • Chen X; Hua County People's Hospital, Anyang, Henan 456483, China.
  • Liu M; Department of Pathology, Hua County People's Hospital, Anyang, Henan 456483, China.
  • Pan Y; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Liu F; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Liu Y; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • He Z; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
  • Ke Y; State Key Laboratory of Molecular Oncology, Beijing Key Laboratory of Carcinogenesis and Translational Research, Department of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China.
Chin Med J (Engl) ; 2024 Feb 26.
Article em En | MEDLINE | ID: mdl-38403900
ABSTRACT

BACKGROUND:

Clinical opportunistic screening is a cost-effective cancer screening modality. This study aimed to establish an easy-to-use diagnostic model serving as a risk stratification tool for identification of individuals with malignant gastric lesions for opportunistic screening.

METHODS:

We developed a questionnaire-based diagnostic model using a joint dataset including two clinical cohorts from northern and southern China. The cohorts consisted of 17,360 outpatients who had undergone upper gastrointestinal endoscopic examination in endoscopic clinics. The final model was derived based on unconditional logistic regression, and predictors were selected according to the Akaike information criterion. External validation was carried out with 32,614 participants from a community-based randomized controlled trial.

RESULTS:

This questionnaire-based diagnostic model for malignant gastric lesions had eight predictors, including advanced age, male gender, family history of gastric cancer, low body mass index, unexplained weight loss, consumption of leftover food, consumption of preserved food, and epigastric pain. This model showed high discriminative power in the development set with an area under the receiver operating characteristic curve (AUC) of 0.791 (95% confidence interval [CI] 0.750-0.831). External validation of the model in the general population generated an AUC of 0.696 (95% CI 0.570-0.822). This model showed an ideal ability for enriching prevalent malignant gastric lesions when applied to various scenarios.

CONCLUSION:

This easy-to-use questionnaire-based model for diagnosis of prevalent malignant gastric lesions may serve as an effective prescreening tool in clinical opportunistic screening for gastric cancer.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chin Med J (Engl) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Chin Med J (Engl) Ano de publicação: 2024 Tipo de documento: Article País de afiliação: China
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