Letters

Confidence intervals for the number needed to treat

BMJ 1999; 318 doi: https://doi.org/10.1136/bmj.318.7200.1764c (Published 26 June 1999) Cite this as: BMJ 1999;318:1764

Pooling numbers needed to treat may not be reliable

  1. Christopher Cates, General practitioner ([email protected])
  1. Manor View Practice, Bushey, Hertfordshire WD2 2NN
  2. University of Wales College of Medicine, Cardiff CF4 4XN

    EDITOR—The number needed to treat has become a popular summary statistic for the results of randomised controlled trials because it combines the treatment effect with the background level of risk in the population studied. Patients in a single trial are randomised for both of these factors, and a confidence interval can be calculated which estimates the statistical uncertainty of the number needed to treat in this particular population.1

    Problems arise when comparisons are made between numbers needed to treat from different randomised trials, or when the numbers needed to treat from several trials are combined in a meta-analysis. Often the background level of risk varies between trials in a non-random fashion, depending on the entry criteria in each trial. If the relative benefit of the treatment is constant across these background levels …

    View Full Text

    Sign in

    Log in through your institution

    Free trial

    Register for a free trial to thebmj.com to receive unlimited access to all content on thebmj.com for 14 days.
    Sign up for a free trial

    Subscribe