absolute risk reduction
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Introduction
Describes the magnitude of a treatment effect.
For example, if the standard treatment results in no improvement in 35% of patients & the new treatment results in a reduction to 25%, the absolute risk reduction is (0.35 - 0.25) = 10%.
Notes
- absolute risks better characterize clinically significant risks than relative risks
- absolute risks should be used to discuss risks with patients whenever possible
More general terms
Additional terms
References
- ↑ Medical Knowledge Self Assessment Program (MKSAP) 16, 17. 18. American College of Physicians, Philadelphia 2012, 2015, 2018.
- ↑ Barratt A, Wyer PC, Hatala R et al Tips for learners of evidence-based medicine: 1. Relative risk reduction, absolute risk reduction and number needed to treat. CMAJ. 2004 Aug 17;171(4):353-8. Review. PMID: https://www.ncbi.nlm.nih.gov/pubmed/15313996 Free PMC Article
- ↑ Ranganathan P, Pramesh CS, Aggarwal R. Common pitfalls in statistical analysis: absolute risk reduction, relative risk reduction, and number needed to treat. Perspect Clin Res. 2016;7:51-3. PMID: https://www.ncbi.nlm.nih.gov/pubmed/26952180