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The number needed to treat: a clinically useful measure of treatment effect
Open accessAbstract
The relative benefit of an active treatment over a control is usually expressed as the relative risk, the relative risk reduction, or the odds ratio. These measures are used extensively in both clinical and epidemiological investigations. For clinical decision making, however, it is more meaningful to use the measure "number needed to treat." This measure is calculated on the inverse of the absolute risk reduction. It has the advantage that it conveys both statistical and clinical significance to the doctor. Furthermore, it can be used to extrapolate published findings to a patient at an arbitrary specified baseline risk when the relative risk reduction associated with treatment is constant for all levels of risk.
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“A low NNT, between 1 and 10, is desirable as it minimizes the costs associated with treating many individuals to benefit just one.23,24”
From Internet Filtering and Adolescent Exposure to Online Sexual Material (2018) · cites this paper as [24]
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Metadata
- Authors
- Cook, R. J., & Sackett, D. L.
- Affiliations
- University of Waterloo (CA)
- John Radcliffe Hospital (GB)
- ORCID
- Cook, Richard J
- Venue
- BMJ
- Publisher
- BMJ
- Published
- 1995-02-18
- Volume
- 310
- Issue
- 6977
- Pages
- 452-454
- ISSN
- 0007-1447 (ISSN-L)
- 0959-8138
- 1468-5833
- PMC
- PMC2548824
- OpenAlex
- W2111149452
- Cited by
- 1,885
- References
- 24
- Citations by year
- 2026: 27 · 2025: 35 · 2024: 33 · 2023: 44 · 2022: 36 · 2021: 51 · 2020: 32 · 2019: 48 · 2018: 44 · 2017: 59 · 2016: 62 · 2015: 59 · 2014: 60 · 2013: 82 · 2012: 76
- FWCI
- 52.22
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.bmj.com/company/legal-information/terms-conditions/legal-information/tdm-licencepolicy (tdm)
- Locations
- BMJ (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Keywords
- number needed to treat, absolute risk reduction, relative risk reduction, relative risk, odds ratio, treatment effect measurement, clinical decision-making, risk-benefit assessment
- MeSH terms
- Cerebrovascular Disorders, Humans, Hypertension, Statistics as Topic, Odds Ratio, Randomized Controlled Trials as Topic, Treatment Outcome, Risk Assessment
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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