Mishra, S and Salinas , C A A and Chikowore, T and Konradsen, F and Ma, R C W and Mbau, L and Mohan, V and Morton, R W and Nyirenda, M J and Tapela, N and Franks, P W (2023) The case for precision medicine in the prevention, diagnosis, and treatment of cardiometabolic diseases in low-income and middle-income countries. Lancet Diabetes Endocrinol, 11 (11). pp. 836-847.
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Abstract
Cardiometabolic diseases are the leading preventable causes of death in most geographies. The causes, clinical presentations, and pathogenesis of cardiometabolic diseases vary greatly worldwide, as do the resources and strategies needed to prevent and treat them. Therefore, there is no single solution and health care should be optimised, if not to the individual (ie, personalised health care), then at least to population subgroups (ie, precision medicine). This optimisation should involve tailoring health care to individual disease characteristics according to ethnicity, biology, behaviour, environment, and subjective person-level characteristics. The capacity and availability of local resources and infrastructures should also be considered. Evidence needed for equitable precision medicine cannot be generated without adequate data from all target populations, and the idea that research done in high-income countries will transfer adequately to low-income and middle-income countries (LMICs) is problematic, as many migration studies and transethnic comparisons have shown. However, most data for precision medicine research are derived from people of European ancestry living in high-income countries. In this Series paper, we discuss the case for precision medicine for cardiometabolic diseases in LMICs, the barriers and enablers, and key considerations for implementation.
Item Type: | Article |
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Official URL/DOI: | https://www.thelancet.com/journals/landia/article/... |
Uncontrolled Keywords: | cardiometabolic diseases; low income; Middle income countries |
Subjects: | Diabetes Epidemiology Diabetology > Cardiovascular Diabetology |
Divisions: | Department of Epidemiology Department of Diabetology |
ID Code: | 1393 |
Deposited By: | surendar radha |
Deposited On: | 22 Nov 2023 14:14 |
Last Modified: | 22 Nov 2023 14:14 |
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