There is an existing necesity to reduce the threat of the non communicable diseases, specially diabetes, in in developing countries. One of the ways proposed to finding new technologies to detect in a quick, economic, non invasive and safe way for those pacients that have this diseases, even better, if it can be detected before it can affect the lifestyle and the quality of the person’s life.
To evaluate the diagnostic ability of the proposed screening tests at the population level to develop a cost-effective algorithm to detect disorders in the metabolism of glucose.
This is a cross-sectional analytical study population based on a diagnostic validation phase is included. The study consists of two phases:
• Validation phase: where participants wil be included with and without diabetes mellitus type to value reproducibility and accuracy (validation) of the diagnostic tools proposed.
• Population Phase: where a study will be conducted on a population level to determine the diagnostic ability of the proposed tests
This project will be taken during 2016
Antonio Bernabé Ortiz
Wellcome Trust (United Kingdom), Research Training Fellowship in Public Health and Tropical Medicine.
Antonio Bernabe-Ortiz, MD, MPH, Universidad Peruana Cayetano Heredia, CRONICAS Centro de Excelencia en Enfermedades Crónicas.
J Jaime Miranda, MD, MsC, PhD, Universidad Peruana Cayetano Heredia, CRONICAS Centro de Excelencia en Enfermedades Crónicas.
Héctor H. García, MD, PhD, Facultad de Ciencias y Director del Centro de Salud Global, Tumbes, Universidad Peruana Cayetano Heredia.
Liam Smeeth, BChB, MSc, PhD, Departamento de Epidemiologia en Enfermedades no Transmisibles, London School Hygiene and Tropical Medicine.