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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.
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.
This formula can be calculated algebraically by combining the steps in the preceding description. In fact, post-test probability , as estimated from the likelihood ratio and pre-test probability , is generally more accurate than if estimated from the positive predictive value of the test, if the tested individual has a different pre-test ...
Authors such as Ben Goldacre believe that the risk difference is best presented as a natural number - drug reduces 2 cases of colon cancer to 1 case if you treat 10,000 people. Natural numbers, which are used in the number needed to treat approach, are easily understood by non-experts.
“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.”
Gabriella Parker had a colonoscopy at 21 despite the recommended age being 45. She made some radical changes in her life to feel better. I was 21 when I had my first colonoscopy.
Virtual colonoscopy (VC, also called CT colonography or CT pneumocolon) is the use of CT scanning or magnetic resonance imaging (MRI) to produce two- and three-dimensional images of the colon (large intestine), from the lowest part, the rectum, to the lower end of the small intestine, and to display the images on an electronic display device.
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]