Relative risk versus absolute risk: one cannot be interpreted without the other
Open accessAbstract
For the presentation of risk, both relative and absolute measures can be used. The relative risk is most often used, especially in studies showing the effects of a treatment. Relative risks have the appealing feature of summarizing two numbers (the risk in one group and the risk in the other) into one. However, this feature also represents their major weakness, that the underlying absolute risks are concealed and readers tend to overestimate the effect when it is presented in relative terms. In many situations, the absolute risk gives a better representation of the actual situation and also from the patient's point of view absolute risks often give more relevant information. In this article, we explain the concepts of both relative and absolute risk measures. Using examples from nephrology literature we illustrate that unless ratio measures are reported with the underlying absolute risks, readers cannot judge the clinical relevance of the effect. We therefore recommend to report both the relative risk and the absolute risk with their 95% confidence intervals, as together they provide a complete picture of the effect and its implications.
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Absolute risk reduction measures the precise magnitude and strength of the reduced risk, essential for clinical evaluation, which the relative risk reduction obscures.
“ARR measures the precise magnitude and strength of the reduced risk, essential for clinical evaluation, which the RRR obscures [13].”
From Relative risk reduction: Misinformative measure in clinical trials and COVID-19 vaccine efficacy (2022) · cites this paper as [13]
Cites
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Dennison, R. A., Chen, E. S., Green, M. E., Legard, C., Kotecha, D., Farmer, G., Sharp, S. J., Ward, R. J., Usher-Smith, J. A., & Griffin, S. J. (2021) · Diabetes Research and Clinical Practice · doi:10.1016/j.diabres.2020.108625 · Cited by 214 · see citing works
Czarnowska, P., Vyas, Y., & Shah, K. (2021) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00425 · Cited by 72 · see citing works
Relative risk reduction: Misinformative measure in clinical trials and COVID-19 vaccine efficacy
Brown, R. B. (2022) · Dialogues in Health · doi:10.1016/j.dialog.2022.100074 · Cited by 11 · see citing works
“ARR measures the precise magnitude and strength of the reduced risk, essential for clinical evaluation, which the RRR obscures [13].”
- Authors
- Noordzij, M., van Diepen, M., Caskey, F. C., & Jager, K. J.
- Affiliations
- Amsterdam UMC Location University of Amsterdam (NL)
- Venue
- Nephrology Dialysis Transplantation
- Publisher
- Oxford University Press (OUP)
- Published
- 2017-02-27
- Volume
- 32
- Issue
- suppl_2
- Pages
- ii13-ii18
- ISSN
- 0931-0509 (ISSN-L)
- 1460-2385
- OpenAlex
- W2598476089
- Cited by
- 172
- References
- 3
- Citations by year
- 2026: 14 · 2025: 19 · 2024: 24 · 2023: 26 · 2022: 23 · 2021: 31 · 2020: 24 · 2019: 9 · 2018: 1 · 2017: 1
- FWCI
- 6.66
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Nephrology Dialysis Transplantation (publishedVersion)
- PubMed (publishedVersion)
- Pure Amsterdam UMC (publishedVersion, other-oa)
- Data Archiving and Networked Services (DANS) (submittedVersion)
- Topics
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Keywords
- relative risk, absolute risk, risk communication, overestimation of treatment effects, confidence intervals
- MeSH terms
- Humans, Risk, Statistics as Topic, Epidemiologic Studies
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