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Intuitively, the lower the number needed to harm, the worse the risk factor, with 1 meaning that every exposed person is harmed. NNH is similar to number needed to treat (NNT), where NNT usually refers to a positive therapeutic result and NNH to a detrimental effect or risk factor. Marginal metrics: NNT for an additional beneficial outcome (NNTB)
The Framingham Risk Score was first developed based on data obtained from the Framingham Heart Study, to estimate the 10-year risk of developing coronary heart disease. [1] In order to assess the 10-year cardiovascular disease risk, cerebrovascular events , peripheral artery disease and heart failure were subsequently added as disease outcomes ...
Also, there are risk assessment tools for estimating the combined risk of several risk factors, such as the online tool from the Framingham Heart Study for estimating the risk for coronary heart disease outcomes using multiple risk factors, including age, gender, blood lipids, blood pressure and smoking, being much more accurate than ...
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The calculations and algorithms used to calculate and display risk estimates in Your Disease Risk are the product of an ongoing process of expert consensus. [2] Epidemiologists, clinicians, and other health specialists regularly review the current scientific evidence for each disease, identifying established and probable risk factors for each.
Equivalently, if the risk of an outcome is decreased by the exposure, the term absolute risk reduction (ARR) is used, and computed as . [2] [3] The inverse of the absolute risk reduction is the number needed to treat, and the inverse of the absolute risk increase is the number needed to harm. [2]
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