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Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

Development of a 5-Year Risk Prediction Model for Transition From Prediabetes to Diabetes Using Machine Learning: Retrospective Cohort Study

The fully automatic electronic sphygmomanometer was used to measure the participants’ blood pressure in the right upper arm after sitting still and resting for 10 min. The measurement of blood pressure was made twice, each time with an interval of 1-2 minutes, and the average of the 2 readings was taken and recorded. Blood samples were collected from the antecubital vein after an 8- to 10-hour fast and were promptly sent to the clinical laboratory for processing.

Yongsheng Zhang, Hongyu Zhang, Dawei Wang, Na Li, Haoyue Lv, Guang Zhang

J Med Internet Res 2025;27:e73190

Efficacy of Virtual Reality–Based Interventions on Cognitive Function in Patients With Neuropsychiatric Disorders: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Efficacy of Virtual Reality–Based Interventions on Cognitive Function in Patients With Neuropsychiatric Disorders: Systematic Review and Meta-Analysis of Randomized Controlled Trials

Notably, intervention sessions exhibited significant variation in frequency (2‐5 times weekly), session duration (15‐60 min), total session count (6‐40 sessions), and overall intervention duration (2 wk to 8 mo). The control groups were subjected to random assignments, wherein they were allocated to either the conventional intervention or waitlist conditions for the entire study duration.

Qiujing Du, Yuhan Wei, Yuexuan Ma, Changqing Liu, Shanshan Du, Qi Zhang, Xiaotong Gong, Jiaju Yang, Qijie Li, Ka Li

JMIR Serious Games 2025;13:e67501