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Precision medicine for cardiometabolic disease : a framework for clinical translation

Franks, Paul W. (författare)
Lund University,Lunds universitet,Genetisk och molekylär epidemiologi,Forskargrupper vid Lunds universitet,Genetic and Molecular Epidemiology,Lund University Research Groups,Harvard University,University of Oxford,Novo Nordisk Foundation
Cefalu, William T. (författare)
National Institute of Diabetes and Digestive and Kidney Diseases
Dennis, John (författare)
University of Exeter
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Florez, Jose C. (författare)
Massachusetts General Hospital,Massachusetts Institute of Technology,Harvard Medical School
Mathieu, Chantal (författare)
University Hospitals Leuven
Morton, Robert W. (författare)
Novo Nordisk Foundation
Ridderstråle, Martin (författare)
Novo Nordisk Foundation
Sillesen, Henrik H. (författare)
Novo Nordisk Foundation
Stehouwer, Coen D.A. (författare)
Maastricht University Medical Centre,Maastricht University
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 (creator_code:org_t)
2023
2023
Engelska 14 s.
Ingår i: The Lancet Diabetes and Endocrinology. - 2213-8587. ; 11:11, s. 822-835
  • Forskningsöversikt (refereegranskat)
Abstract Ämnesord
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  • Cardiometabolic disease is a major threat to global health. Precision medicine has great potential to help to reduce the burden of this common and complex disease cluster, and to enhance contemporary evidence-based medicine. Its key pillars are diagnostics; prediction (of the primary disease); prevention (of the primary disease); prognosis (prediction of complications of the primary disease); treatment (of the primary disease or its complications); and monitoring (of risk exposure, treatment response, and disease progression or remission). To contextualise precision medicine in both research and clinical settings, and to encourage the successful translation of discovery science into clinical practice, in this Series paper we outline a model (the EPPOS model) that builds on contemporary evidence-based approaches; includes precision medicine that improves disease-related predictions by stratifying a cohort into subgroups of similar characteristics, or using participants' characteristics to model treatment outcomes directly; includes personalised medicine with the use of a person's data to objectively gauge the efficacy, safety, and tolerability of therapeutics; and subjectively tailors medical decisions to the individual's preferences, circumstances, and capabilities. Precision medicine requires a well functioning system comprised of multiple stakeholders, including health-care recipients, health-care providers, scientists, health economists, funders, innovators of medicines and technologies, regulators, and policy makers. Powerful computing infrastructures supporting appropriate analysis of large-scale, well curated, and accessible health databases that contain high-quality, multidimensional, time-series data will be required; so too will prospective cohort studies in diverse populations designed to generate novel hypotheses, and clinical trials designed to test them. Here, we carefully consider these topics and describe a framework for the integration of precision medicine in cardiometabolic disease.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Hälsovetenskap -- Hälso- och sjukvårdsorganisation, hälsopolitik och hälsoekonomi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Health Sciences -- Health Care Service and Management, Health Policy and Services and Health Economy (hsv//eng)

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