Barriers and Recommendations for Developing a Data Commons for the Implementation and Application of Cardiovascular Disease and Diabetes Risk Scoring in the Philippines

Author:

Dumancas Gerard G.,de Castro Romulo,Saludes Jonel P.,Peñaranda Bridith S.,Bello Ghalib A.,Villa Felix Ray P.,Villareal Bea Nestie Angeli L.,Padernal Webster F.,Posecion Teila Matilda A.,Guanzon Ma. Luz Vicenta V.,Drilon Julius M.,Montoya Jaime C.

Publisher

Springer Science and Business Media LLC

Subject

General Medicine

Reference83 articles.

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3. Baena-Díez JM, Subirana I, Ramos R, Gómez de la Cámara A, Elosua R, Vila J, et al. Validity assessment of low-risk SCORE function and SCORE function calibrated to the Spanish population in the FRESCO cohorts. Rev Esp Cardiol. 2018;71:274–82.

4. •• Damen JA, Pajouheshnia R, Heus P, Moons KGM, Reitsma JB, Scholten RJPM, et al. Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis. BMC Med. 2019;17:109 A comprehensive search that identified 1585 studies, of which 38 were included, describing a total of 112 external validations with the results describing that, on average, all models overestimate the 10-year risk of coronary heart disease and CVD. Overestimation was most pronounced for high-risk individuals and European populations.

5. •• Eichler K, Milo A, Puhan JS. Accuracy of risk assessment in primary prevention of cardiovascular disease. 2019 [cited 2019 Jul 21]; Available from: https://heart.bmj.com/content/accuracy-risk-assessment-primary-prevention-cardiovascular-disease. A contributing letter to the editor pointing out that the systematic review by Brindle et al. is an important contribution showing the variable calibration of the Framingham score across different populations. However, it also lacks a rigorous evaluation of factors which may have influence on calibration. The authors believe that further work is needed to learn more about factors influencing predictive performance of the Framingham risk score across different populations, which can have direct implications for use in clinical practice.

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