Diabetes mellitus is a chronic disease that affects over 500 million people worldwide, necessitating personalized health management programs for effective long-term control. Among the various biomarkers, glycated hemoglobin (HbA1c) is a crucial indicator for monitoring long-term blood glucose levels and assessing diabetes progression. This study introduces an innovative approach to diabetes management by integrating a mobile application and machine learning.
View Article and Find Full Text PDFBackground: Matrix metalloproteinase-2 (MMP-2) polymorphisms have been considered as risk factors of cataracts, but the results still remain controversial. In this study, we have performed a systematic meta-analysis to evaluate the association between MMP-2 polymorphisms and cataract risks.
Methods: Published literature was retrieved from Wanfang, Chinese Biomedical Literature Database, Chinese National Knowledge Infrastructure, Chongqing VIP Chinese Science and Technology Periodical Database, PubMed, Embase, and Web of Science databases.
Aim: To analyze peripapillary atrophy β/γ zone (PPA-β/γ) and the optic disc ovality index, and to assess their associations with the axial length (AL), refractive error, best corrected visual acuity (BCVA), choroidal thickness (CT), and age in highly myopic eyes.
Methods: This was a retrospective observational case series. The study included 667 patients consecutively examined for highly myopic eyes [spherical equivalent ≤-6.