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The number needed to treat (NNT) or number needed to treat for an additional beneficial outcome (NNTB) is an epidemiological measure used in communicating the effectiveness of a health-care intervention, typically a treatment with medication. The NNT is the average number of patients who need to be treated to prevent one additional bad outcome.
Scott's rule is a method to select the number of bins in a histogram. [1] Scott's rule is widely employed in data analysis software including R , [ 2 ] Python [ 3 ] and Microsoft Excel where it is the default bin selection method.
Routine use of colonoscopy screening varies globally. In the US, colonoscopy is a commonly recommended and widely utilized screening method for colorectal cancer, often beginning at age 45 or 50, depending on risk factors and guidelines from organizations like the American Cancer Society. [9] However, screening practices differ worldwide.
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The theNNT is an evidence-based medicine website created by a small group led by David H. Newman and Graham Walker that collects statistical information about drugs, particularly the number needed to treat measure. [1] [2] The website was launched in 2010. [3]
“The way we ended up recommending colonoscopy is that over 10 years 43% of people getting the stool test were recommended to get a colonoscopy because of the positive findings on the stool test.”
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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)