Cardiovascular diseases (CVDs) have become one of the major reasons for morbidity and mortality in entire world. The developing countries like India contributes major portion. Hence prevention of CVD becomes more important. There are many existing risk calculators used for risk prediction like Framingham score, United Kingdom Prospective Diabetes Study score, pooled cohort equations, QRISK score, joint British societies score, advance score, assign score, etc. These risk calculators are population specific and hence cannot be applied directly to Indian population as it differs epidemiologically. Therefore, other statistical approaches are also seen applied on Indian studies like ANOVA, t-distribution, chi-square test, Spearman coefficient, Pearson coefficient, Wilcoxon rank sum test, multivariable regression, etc. This paper gives the review of existing risk calculators and their application on Indian population. Also, the different statistical approaches which are more dominantly used to estimate the CVD risk on Indian population are discussed. This study presents the different risk factors to be included for Indian population.

CVD, risk calculators, risk stratification, statistical tools, Indian population.

Received: August 26, 2022; Accepted: November 26, 2022; Published: December 22, 2022

How to cite this article: Abha Marathe, Virendra Shete and Dhananjay Upasani, Applications of statistical techniques in cardiovascular disease risk estimation for Indian population: a systematic review, JP Journal of Biostatistics 22 (2022), 59-84.http://dx.doi.org/10.17654/0973514322029

This Open Access Article is Licensed under Creative Commons Attribution 4.0 International License

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