Relative risk ratio: Difference between revisions
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Latest revision as of 06:00, 11 October 2024
In clinical epidemiology and evidence-based medicine, the relative risk ratio or more simply the relative risk, is a measure of the likelihood of a clinical outcome in group of patients exposed to a factor compared to a control group of patients.[1] This measure should be contrasted with the absolute risk reduction.
Calculations
| Outcome | ||||
|---|---|---|---|---|
| Present | Absent | |||
| Experimental group | Cell A | Cell B | Total in the experimental group | |
| Control group | Cell C | Cell D | Total in the control group | |
| Total with the outcome | Total without the outcome | |||
Note that the relative risk ratio is that same as 1 - the relative risk reduction.
The relative risk ratio may be used to derive the number needed to treat:[2][3]
References
- ↑ Barratt A, Wyer PC, Hatala R, et al (2004). "Tips for learners of evidence-based medicine: 1. Relative risk reduction, absolute risk reduction and number needed to treat". CMAJ 171 (4): 353–8. DOI:10.1503/cmaj.1021197. PMID 15313996. Research Blogging.
- ↑ Furukawa TA, Guyatt GH, Griffith LE (February 2002). "Can we individualize the 'number needed to treat'? An empirical study of summary effect measures in meta-analyses". Int J Epidemiol 31 (1): 72–6. PMID 11914297. [e]
- ↑ Chatellier G, Zapletal E, Lemaitre D, Menard J, Degoulet P (February 1996). "The number needed to treat: a clinically useful nomogram in its proper context". BMJ 312 (7028): 426–9. PMID 8601116. PMC 2350093. [e]