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Mónica Ortegón

Researcher at Del Rosario University

Publications -  15
Citations -  3273

Mónica Ortegón is an academic researcher from Del Rosario University. The author has contributed to research in topics: Cost effectiveness & Framingham Risk Score. The author has an hindex of 11, co-authored 15 publications receiving 3075 citations. Previous affiliations of Mónica Ortegón include Erasmus University Rotterdam & World Health Organization.

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Journal Article

The burden and costs of chronic diseases in low-income and middle-income countries. Commentary

TL;DR: This paper estimates the disease burden and loss of economic output associated with chronic diseases-mainly cardiovascular diseases, cancer, chronic respiratory diseases, and diabetes-in 23 selected countries which account for around 80% of the total burden of chronic disease mortality in developing countries.
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The burden and costs of chronic diseases in low-income and middle-income countries

TL;DR: In this article, the authors estimate the disease burden and loss of economic output associated with chronic diseases in 23 selected countries which account for around 80% of the total burden of chronic disease mortality in developing countries.
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Cost-Effectiveness of Prevention and Treatment of the Diabetic Foot: A Markov analysis

TL;DR: Management of the diabetic foot according to guideline-based care improves survival, reduces diabetic foot complications, and is cost-effective and even cost saving compared with standard care.
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Prediction of coronary heart disease risk in a general, pre-diabetic, and diabetic population during 10 years of follow-up: accuracy of the Framingham, SCORE, and UKPDS risk functions: The Hoorn Study

TL;DR: The Framingham function for prediction of the first CHD event is likely to overestimate an individual's absolute CHD risk, and application of the SCORE and UKPDS functions might be useful in the absence of a more valid tool.
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Cost effectiveness of strategies to combat cardiovascular disease, diabetes, and tobacco use in sub-Saharan Africa and South East Asia: mathematical modelling study.

TL;DR: In this paper, the relative costs and health effects of interventions to combat cardiovascular disease, diabetes, and tobacco related disease in order to guide the allocation of resources in developing countries were determined.