青少年近视风险预测模型的系统评价OACSTPCD

Objective To systematically summarize and assess risk prediction models for the occurrence of myopia.Methods Two keywords related to myopia and risk prediction model were searched on Chinese databases(CNKI,Wanfang)and English(PubMed,Embase,and Cochrane Library).The information form was created based on the CHARMS checklist.The PROBAST was used to assess the risk of bias.Results A total of 36 studies were includ-ed.Predicted outcomes included myopia,high myopia,and equivalent spherical lens(SE).The most frequently used predictors were SE and biometric parameters.Regarding model performance,32 studies reported discrimination(88.89％)and 7(19.44％)reported calibration.All studies were at high risk of bias,especially in the analysis domain.Problems centered on improper processing of missing data,incomplete evaluation of model performance,and lack of internal and external validation.Conclusion There are a certain number of myopia risk prediction models in adolescents,but the quality is uneven.It is urgent to improve the details of statistical analysis and external validation of the existing models to better guide screening.