Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

Objective:To explore the health economic evaluation methods of disease screening,providing insights for scholars conducting related research.Methods:By integrating relevant content from modem epidemiology,health statistics,and health economics,it investigates the differences in conducting health economic evaluations of disease screening using authenticity indicators(sensitivity,specificity)and predictive value indicators(positive predictive value,negative predictive value),and combines empirical studies with cases from the literature.Results:Authenticity indicators(sensitivity,specificity)are intrinsic measures of diagnostic tests,unaffected by the disease prevalence in the sample population,making them more suitable for conducting health economic evaluations of disease screening.Moreover,authenticity indicators are easy to obtain,and the model calculations are straightforward and convenient.Case study results demonstrate that compared to risk score screening,the Incremental Cost-Effectiveness Ratio(ICER)of fasting plasma glucose(FPG)testing for type 2 diabetes is 626,indicating that for every additional diabetic patient identified through risk score screening,an extra 626 yuan is spent.Conclusion:It is recommended to use authenticity indicators for conducting health economic evaluations of disease screening,standardize the path methods for model selection,and continuously improve the evidence quality of health economic evaluations of disease screening in China.

In 2016, a national one million general population cohort project was set up in China for the first time in "Precision Medicine Research" Key Project, National Key Research and Development Program of China, which consists of general population cohorts in seven areas in China. As one of the seven major areas in China, northeastern China has unique climate and specific dietary patterns, and population aging is serious in this area. And the burden of chronic and non-communicable diseases ranks tops in China. Therefore, it is of great significance to establish a large general population cohort in northeastern China to explore the area specific exposure factors related to pathogenesis and prognosis of chronic and non-communicable diseases, develop new prevention strategies to reduce the burden of the diseases and improve the population health in northeastern China. In July 2018, the general population cohort study in northeastern China was launched, the study includes questionnaire survey, health examination and blood, urine and stool sample collection and detection in recruited participants. By now, the cohort has covered all age groups, and the baseline data of 115 414 persons have been collected. This paper summarizes the design and practice of the general population cohort study in northeastern China to provide reference for related research in China.

Objective:To systematically evaluate the prevalence of depressive symptoms and its influencing factors in breast cancer patients during chemotherapy in China.Methods:The databases such as CNKI, Wanfang Data, VIP, PubMed, Web of Science and Embase were searched with retrieval terms of breast cancer, breast tumor, chemotherapy, depressive symptom, mental health, melancholia, Chinese, etc for the literature related to the prevalence of depressive symptoms in breast cancer patients during chemotherapy in China. Relevant literature from the establishment of the databases to August 2022 were retrieved. Two researchers screened the literature independently, extracted data and evaluated the risk of bias in the included studies, and prevalence of depressive symptoms and its influencing factors in breast cancer patients during chemotherapy in China were systematically evaluated by using RevMan 5.3 and Stata 14.1 software.Results:A total of 18 studies were included, including 2 678 subjects. Meta-analysis results showed that the prevalence of depressive symptom in breast cancer patients in China was 51.60% (95% CI: 44.10%-55.10%). The results of subgroup analysis showed that age ( OR=2.55, 95% CI: 1.26-5.14), educational level ( OR=2.01, 95% CI: 1.01-3.98), marital status ( OR=0.50, 95% CI: 0.29-0.86), occupational status ( OR=3.29, 95% CI: 1.04-10.46), clinical staging ( OR=0.32, 95% CI: 0.22-0.46) and frequency of chemotherapy ( OR=0.39, 95% CI: 0.17-0.86) were the influencing factors of depressive symptoms in breast cancer patients during chemotherapy in China (all P<0.05). Conclusions:The prevalence of depressive symptoms in breast cancer patients during chemotherapy in China is high. Breast cancer patients undergoing chemotherapy who are under 50 years old, having a high school education or lower, are not married, currently employed, and in clinical stage 3-4 and receiving more than 4 chemotherapy cycles are more likely to experience depressive symptoms.