There is a need to reduce the threat of non-communicable diseases, especially diabetes, in developing countries. One proposed solution is to find new methodologies for quick, economical, non-invasive, and safe detection of patients with the disease, even better if it can be detected before significantly affects the rhythm and quality of life.

Aim:

To evaluate the diagnostic performance of proposed screening tests at the population level to develop a cost-effective algorithm for detecting glucose metabolism disorders.

Study design:

This is a population-based cross-sectional analytical study that includes a diagnostic validation phase. The study comprises two phases:

• Validation phase: Participants with and without type 2 diabetes mellitus will be included to evaluate the reproducibility and accuracy (internal validation) of proposed diagnostic tools.
• Population phase: A population-based study will be conducted to determine the diagnostic performance of proposed tests.

Result:

The performance of certain diabetes risk scores, including Finnish Diabetes Risk Score (FINDRISC), Latin America-FINDRISC, and the Peruvian risk score, was similar. A simplified FINDRISC may work as well or better to detect undiagnosed cases of type 2 diabetes mellitus. FINDRISC seems useful to detect cases of type 2 diabetes mellitus in resource-limited settings.

Contact:

Antonio Bernabé Ortiz, MD, MPH, PhD
Antonio.bernabe@upch.pe