| Abstrakt: |
A recent study conducted by researchers at the University of Patras in Greece has explored the use of biomarkers and data visualization in identifying insulin resistance (IR) and metabolic syndrome (MetS). The study found that conventional result formats used in annual check-ups are inadequate for early detection, and that low-budget biochemical and hematological parameters, along with data visualization techniques, can be effective in identifying IR and MetS. The researchers also discovered notable differences in cardiovascular risk and inflammation markers between normal-weight and obese individuals, highlighting body mass index (BMI) as a significant risk factor. The study concludes that integrating specific markers and data visualization in routine check-ups can enhance early detection and improve patient awareness and adherence. [Extracted from the article] |
