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Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Countries that account for 80% of global chronic disease deaths in low-income and middle-income countries
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Main model parameters
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Example of an absolute risk chart
using age, sex, smoking status, systolic blood pressure, and
body-mass index
*Numbers are 10-year risk of fatal ischaemic heart disease or
cardiovascular events in Mexico
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Patterns of scale-up of a multidrug regimen for patients at high risk of cardiovascular disease by Commission on
Macroeconomics in Health (CMH) category, expressed as a proportion of those accessing health services
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Effects of diff erent individual drugs, measured as relative risk, on fatal and non-fatal ischaemic
heart disease and cerebrovascular disease
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Patient cost parameters
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Cumulative thousands of deaths averted with a multidrug regimen for the prevention of
cardiovascular disease by sex, 2006-15
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Person-years of treatment and number of deaths averted by age and sex, 2006-15
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Cumulative financial cost of scaling up a multidrug regimen for the prevention
of cardiovascular disease, 2006-15
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Average yearly cost (US$ per head) of scaling up a multidrug regimen for the prevention ofcardiovascular disease by country, 2006-15
Stephen S Lim, et al. Lancet 2007; 370: 2054-62
Average yearly cost (proportion of current health expenditure) of scaling up a multidrug regimen for the
prevention of cardiovascular disease by country, 2006-15
Stephen S Lim, et al. Lancet 2007; 370: 2054-62