Number Needed To Treat
The number needed to treat (NNT) is an epidemiological measure used in assessing 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 (i.e. the number of patients that need to be treated for one to benefit compared with a control in a clinical trial). It is defined as the inverse of the absolute risk reduction. It was described in 1988. The ideal NNT is 1, where everyone improves with treatment and no one improves with control. The higher the NNT, the less effective is the treatment.
Variants are sometimes used for more specialized purposes. One example is number needed to vaccinate.
NNT values are time-specific. For example, if a study ran for 5 years and it was found that the NNT was 100 during this 5 year period, in one year the NNT would have to be multiplied by 5 to correctly assume the right NNT for only the one year period (in the example the one year NNT would be 500).
Read more about Number Needed To Treat: Derivation, Relevance, Example: Statins For Primary Prevention, Worked Example, Simple Examples
Famous quotes containing the words number, needed and/or treat:
“I happen to feel that the degree of a person’s intelligence is directly reflected by the number of conflicting attitudes she can bring to bear on the same topic.”
—Lisa Alther (b. 1944)
“I suddenly realized that the devout Russian people no longer needed priests to pray them into heaven. On earth they were building a kingdom more bright than any heaven had to offer, and for which it was a glory to die.”
—John Reed (1887–1920)
“Friendship is learned by watching and listening to you. If she sees that your friends are people you like and trust and don’t pretend with—people who suit you—she probably won’t pick friends who just pass by, or people who can help her or improve her status. If you treat friends in a special way, if you are kinder, more generous, more sympathetic, more forgiving with friends, she probably will be, too.”
—Stella Chess (20th century)