is the number of patients who need to be treated to prevent one bad outcome (also see the Toolbox section on NNTs). It is the inverse of the ARR: NNT = 1/ARR.
(NNT) The number of patients who must receive a particular therapy for one to benefit. You might tell a patient that an NNT of 10 means that the chance that he/she will benefit in this way from the treatment is 1 in 10. To calculate NNT use the calculator.
The inverse of the absolute risk reduction and the number of patients that need to be treated to prevent one bad outcome. See treatment effects. Calculated as the inverse of the absolute risk reduction (1/ARR). more details... See treatment effects [ ] Odds A ratio of the number of people incurring an event to the number of people who don't have an event.
(NNT): the number of patients who must be exposed to an intervention before the clinical outcome of interest occurred; for example, the number of patients needed to treat to prevent one adverse outcome. ( Therapy) To Calculation
a measure of treatment effect that provides the number of patients who need to be treated to prevent one outcome event. It is the inverse of absolute risk reduction (1 ¸ absolute risk reduction); i.e., 1.0 ¸ (Pc - Pt). For instance, if the results of a trial were that the probability of death in a control group was 25% and the probability of death in a treatment group was 10%, the number needed to treat would be 1.0 ¸ (0.25 - 0.10) = 6.7 patients. (See also absolute risk reduction, relative risk reduction, and odds ratio.)
The number of patients who need to be treated to prevent one additional bad outcome; calculated as 1/ ARR, rounded up to the next highest whole number, and accompanied by its 95% confidence interval (CI). When the experimental treatment increases the probability of a good event, NNT is calculated as 1/ ABI and denotes the number of patients who must receive the experimental treatment to create one additional improved outcome in comparison with the control treatment.
This is one measure of a treatment's clinical effectiveness. It is the (average) number of people you would need to treat with a specific intervention (e.g. aspirin for people having a heart attack) to see one additional occurrence of a specific outcome (e.g. prevention of death).
Number of patients who need to be treated to prevent one additional negative event (or to promote one additional positive event).
number of patients who need to be treated to prevent 1 additional negative event; this is calculated as 1/absolute risk reduction (rounded to the next whole number), accompanied by the 95% confidence interval.
is the number of patients who need to be treated to prevent one bad outcome. It is the inverse of the ARR: NNT = 1/ARR. See also section on NNTs.
The number needed to treat (NNT) is an epidemiological measure that indicates how many patients would require treatment with a form of medication to reduce the expected number of cases of a defined endpoint by one. It is defined as the inverse of the absolute risk reduction. It was described in 1988.Laupacis A, Sackett DL, Roberts RS.
