number needed to treat


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number needed to treat

In a clinical treatment regimen, the numeric cohort of patients who must be treated to prevent the occurrence of specified complications or adverse outcomes of the condition under examination.

number needed to treat

Decision-making The minimum number of Pts to whom a particular intervention must be administered in a trial or controlled study to prevent a single target event. See Absolute risk reduction, Odds ratio, Relative risk reduction, Threshold NNT.

number needed to treat

The number of patients who must receive a specific therapy (or undergo a specific medical test) so that one of them will benefit. This concept is important in assessing the relative values and costs of interventions for specific illnesses. For example, to prevent one death from breast cancer, the number of patients who need annual mammography can be calculated. Similarly, the number of patients with cancer who will survive because of the use of a particular chemotherapy can be assessed. Generally, the smaller the number needed to treat, the greater the value of the intervention. This comparative information can be used to decide how to allocate resources, plan studies, or make recommendations to patients about their care.
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Though only a minority of children in the study had a peaked tympanogram, failure rates for these were low in both treatment and placebo groups, and the number needed to treat to prevent treatment failure was 1 in 29.
Calculating the number needed to treat for trials where the outcome is time to an event.
6% of controls, with a number needed to treat of 8.
The number needed to treat indirectly gives an estimate of the risk-benefit profile of a particular therapy.
Estimates of the number needed to treat to prevent one case of pre-term birth are as low as one in six.
Based on the treatment of elderly patients with xuezhikang for an average of four years, the number needed to treat (NNT) to prevent one coronary event, one coronary death, and one death due to any cause was estimated to be 18, 33, and 23, respectively.
Number needed to treat (NNT) is a measure of clinical effect that has been called medicine's "secret stat" (Box 1, page 78).
This translates into a number needed to treat of three, meaning at 6 weeks every third patient will benefit from receiving PT as opposed to WS.
Trial evidence would suggest that its benefit is limited to reduction of awareness in high-risk individuals if one is prepared to accept a very large number needed to treat in that regard.
An interesting way of interpreting this data is to consider how many patients must be treated for one to benefit, referring to the number needed to treat (NNT), in order to have one additional patient alive at the end of the trial than if all patients were given a placebo.
The number of Apligraf applications used in the Wedbush report is five times greater than the actual number needed to treat most patients treated since launch.
3% for IVF (risk difference [RD]=4%; 95% confidence interval [CI], l%-7%; number needed to treat [NNT]=25).