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Absolute Risk Reduction & Relative Risk Reduction

EM FINAL EXAMS Critical Appraisal · Effect measures Absolute & Relative Risk Reduction (ARR & RRR) The two ways to express a treatment’s benefit — one tells the real-world story, the other inflates it. Definition ARR is the absolute difference in event rates: ARR = CER − EER. RRR is the proportion of the baseline […]

EM FINAL EXAMS Critical Appraisal · Effect measures

Absolute & Relative Risk Reduction (ARR & RRR)

The two ways to express a treatment’s benefit — one tells the real-world story, the other inflates it.

Definition

ARR is the absolute difference in event rates: ARR = CER − EER. RRR is the proportion of the baseline risk removed: RRR = ARR ÷ CER = (CER − EER) ÷ CER. The ARR is what determines the NNT: NNT = 1 ÷ ARR.

The picture

CER 16/100RRR ≈ 9% of baseline removed, but ARR ≈ 1.5% · NNT = 1 ÷ ARR ≈ 67

What it shows

16 of the 100 placebo figures are highlighted — the baseline risk. Treatment removes only a sliver of that crowd: about 1.5 figures in 100 (the ARR). Expressed as a fraction of the 16, that sliver is ~9% (the RRR). Same effect, two very different-sounding numbers.

How to read it

RRR answers “what fraction of the baseline risk did we remove?” — it stays roughly constant whatever the baseline. ARR answers “how many extra people per 100 benefit here?” — and it shrinks as the baseline risk falls. The ARR, not the RRR, is what converts into an NNT and a real-world decision.

Why it matters

RRR is the number that sells the drug; ARR is the number that decides whether to use it. A constant 30% RRR sounds the same in everyone, but at a 20% baseline it means ARR 6% (NNT 17), and at a 1% baseline it means ARR 0.3% (NNT 333). Demanding the ARR is the single fastest defence against relative-risk hype.

Key
  • ARR = CER − EER · RRR = ARR ÷ CER
  • NNT = 1 ÷ ARR — only the absolute figure gives an NNT
  • RRR is ~constant across baselines; ARR shrinks as baseline risk falls
Pitfall
Pitfall Quoting the RRR alone. It sounds impressively large and stays constant across risk levels, but it hides how few patients actually benefit. Always demand the ARR — it is the figure that reflects real-world impact and yields the NNT.
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 mortality CER 16.0% (1613/10060), EER 14.5% (1463/10067). So RRR ≈ 9% (1 − 0.91), but ARR ≈ 1.5% and NNT ≈ 67. The relative figure sounds modest; the absolute figure is what justified rolling TXA into trauma protocols. The pooled ARR averages over time-to-treatment: benefit concentrates in patients treated ≤3 h, while >3 h the subgroup had more bleeding deaths — so a single ARR can mask important subgroup variation.

Examiner traps
  • RRR quoted without ARR — the classic way a marginal benefit is dressed up as a big one.
  • Forgetting ARR depends on baseline risk — the same RRR gives a smaller ARR (and larger NNT) in low-risk patients.
  • Relative-framing bias — people (and exams) rate a treatment more favourably when the same effect is shown as RRR rather than ARR.
Quick check

A drug has a 25% relative risk reduction — how many patients benefit?
Answer: You can’t say. RRR is a proportion of the baseline risk, so you need the control event rate to get ARR (= RRR × CER) and then NNT (= 1 ÷ ARR). At CER 20% that’s ARR 5%, NNT 20; at CER 1% it’s ARR 0.25%, NNT 400.

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