Why the study?
Cardiovascular diseases are the leading cause of death in India, but there is no validated cardiovascular disease prognostic risk model for an Indian urban population.
Does recalibrating the Framingham prognostic model using local data change the estimated proportion of high-risk individuals eligible for statins in urban Indian populations?
Population
Participants from two urban Indian studies (CARRS and ICMR)
Comparison
Original Framingham model vs CARRS-recalibrated vs ICMR-recalibrated models
Design
Risk prediction model recalibration and comparative cross-sectional analysis
Authors
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Recalibration may alter statin eligibility estimates in urban Indian men; leaves open whether local models improve outcome prediction without prospective validation.
Does recalibrating the Framingham prognostic model using local data change the estimated proportion of high-risk individuals eligible for statins in urban Indian populations?
Recalibrating the Framingham risk model with local Indian data significantly alters the estimated proportion of individuals eligible for statin therapy, highlighting the need for local cohorts with outcome data.
Gupta et al. (2019) studied this question.
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