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Relative Risk

EM FINAL EXAMS Critical Appraisal · Effect measures Relative Risk (Risk Ratio) How many times the risk of an outcome differs between the treated and the control group. Definition The risk of the outcome in the exposed/treated group divided by the risk in the control group: RR = EER ÷ CER. RR < 1 = […]

EM FINAL EXAMS Critical Appraisal · Effect measures

Relative Risk (Risk Ratio)

How many times the risk of an outcome differs between the treated and the control group.

Definition

The risk of the outcome in the exposed/treated group divided by the risk in the control group: RR = EER ÷ CER. RR < 1 = risk reduced, RR > 1 = risk increased, RR = 1 = no effect. It is a purely relative measure — it ignores how big the baseline risk was.

The picture

CER 16/100 on placebo vs EER 14.5/100 on TXA → RR = 14.5 ÷ 16.0 = 0.91

What it shows

The top two rows are the placebo arm (16 of 100 died); the bottom two are the treated arm (~14–15 of 100 died). RR compares the two as a ratio: 0.91 means the treated group’s risk is 91% of the control group’s — a 9% relative reduction. Notice the actual gap between the highlighted crowds is tiny.

How to read it

Read RR as “risk in my group is X times the comparator’s.” Subtract from 1 for the relative risk reduction (1 − 0.91 = 9%). Crucially, the same RR can sit on a huge or a trivial absolute gap depending on the baseline risk — so always ask what the control event rate was before being impressed.

Why it matters

Because RR is roughly constant across baseline risks, a drug can show the same headline RR in a high-risk and a low-risk population — yet the absolute benefit collapses as baseline risk falls. A “33% reduction” (RR 0.67) is dramatic when 30% die and almost meaningless when 0.3% do. RR alone cannot tell you which.

Key
  • RR = EER ÷ CER · RRR = 1 − RR
  • RR < 1 protective · = 1 no effect · > 1 harmful
  • Relative measure — always pair it with the absolute risk/ARR
Pitfall
Pitfall Quoting RR (or RRR) without the absolute risk. A relative reduction looks identical whether the baseline risk is 30% or 0.3%, so the relative figure exaggerates importance whenever the baseline risk is low — the absolute benefit may be vanishingly small.
emfinalexams.com · FRCEM / MRCEM revision
EM trial in the wild

CRASH-2 (Lancet 2010) — 20,211 bleeding trauma patients, tranexamic acid vs placebo. 28-day all-cause mortality 14.5% (1463/10067) vs 16.0% (1613/10060): RR 0.91 (95% CI 0.85–0.97), p=0.0035. A statistically solid 9% relative reduction — but the absolute gap is only ~1.5%, giving an NNT of ~67. The relative effect is real, yet time-critical: TXA given ≤3 h reduces death, whereas >3 h the subgroup had more bleeding deaths — one pooled RR hides that interaction.

Examiner traps
  • Relative vs absolute — a large RRR can mask a trivial ARR when baseline risk is low; never judge a trial on RR alone.
  • RR vs OR — they are not interchangeable; the odds ratio exaggerates (sits further from 1) when the outcome is common.
  • Direction — RR < 1 is protective and RR > 1 is harmful; misreading the side of 1 inverts the clinical message.
Quick check

A drug halves the risk of an outcome — RR 0.5. Is that a big benefit?
Answer: It depends entirely on the baseline (control) risk. Halving a 40% risk saves 20 patients per 100 (ARR 20%, NNT 5); halving a 0.2% risk saves 1 per 1,000 (ARR 0.1%, NNT 1,000). The same RR, wildly different real-world value.

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