Expired CME Article
Show Me the Evidence: Using Number Needed to Treat
Abstract
This article reviews one of the basic tools of evidence-based medicine, the calculation and interpretation of Number Needed to Treat (NNT) and Number Needed to Harm (NNH). Especially appealing is the simplicity of extracting this information from journal articles that report binary outcomes, such as medication response or emergence of adverse events. On-line resources and calculators can help the clinician in determining confidence intervals for these metrics. After a discussion of absolute versus relative risk, P-values, and the mechanics of calculating NNT and NNH, the application of NNT and NNH to a large clinical trial, the Clinical Antipsychotic Trials of Intervention Effectiveness (CATIE) for schizophrenia, is described.
Key Points
* An important tool in the evaluation of benefit and risk is Number Needed to Treat (NNT) and Number Needed to Harm (NNH).
* These metrics can help us determine the clinical significance, or effect size, of a difference in outcome. NNT and NNH are easy to calculate by hand, and on-line calculators can be used to calculate the confidence intervals.
* By examining the magnitudes of NNT and NNH, the clinician can start to make risk-benefit decisions tailored to the individual patient's needs or preferences.
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