Relationship with relative risk reduction

Relationship with relative risk reduction

Relationship with relative risk reduction

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NNT vs. RRR - A Clinical Reality‑Check

  • Relative Risk Reduction (RRR) and Number Needed to Treat (NNT) both measure an intervention's effectiveness, but they offer vastly different clinical perspectives. While RRR can be impressive, it may also be misleading without context.

  • The Illusion of RRR:

    • RRR indicates the proportional reduction in risk between the experimental and control groups. Formula: $RRR = (CER - EER) / CER$.
    • A high RRR (e.g., 50%) seems powerful, but its clinical impact is entirely dependent on the baseline risk (Control Event Rate, or CER).
    • If an event is rare to begin with (low CER), a large RRR results in a very small absolute benefit.
  • The Reality of NNT:

    • NNT provides the real-world effort: how many patients must receive a treatment to prevent one additional adverse outcome.
    • It is the inverse of Absolute Risk Reduction (ARR). Formula: $NNT = 1 / ARR$, where $ARR = CER - EER$.
    • A low NNT is highly desirable (e.g., NNT = 4), whereas a high NNT (e.g., NNT = 120) suggests a less efficient intervention.
  • The Unifying Formula:

    • The relationship that bridges these two metrics is: $NNT = 1 / (CER imes RRR)$.
    • This equation demonstrates that for the same RRR, a lower baseline risk (CER) will always produce a higher, less favorable NNT.

⭐ A common tactic in drug promotion is to emphasize a high RRR. A discerning clinician must look past this and consider the NNT, as it provides a more sober assessment of whether the intervention's benefit justifies its costs and potential harms (NNH).

NNT/NNH - The Core Formulas

  • Number Needed to Treat (NNT): Average number of patients who need treatment to prevent one additional adverse outcome.

    • $NNT = 1 / ARR$
  • Number Needed to Harm (NNH): Average number of patients who need exposure to a risk factor to cause one additional adverse outcome.

    • $NNH = 1 / ARI$
  • Risk Calculations:

    • Absolute Risk Reduction (ARR): $ARR = CER - EER$
    • Absolute Risk Increase (ARI): $ARI = EER - CER$
  • NNT from Relative Risk Reduction (RRR):

    • $NNT = 1 / (CER \times RRR)$

Rounding Rule: NNT and NNH are always rounded up to the next whole number, as you cannot treat a fraction of a person.

High‑Yield Points - ⚡ Biggest Takeaways

  • NNT is the reciprocal of the Absolute Risk Reduction (ARR), calculated as 1/ARR.
  • A lower NNT indicates a more effective intervention.
  • NNH is the reciprocal of the Attributable Risk (AR), calculated as 1/AR.
  • Unlike Relative Risk Reduction (RRR), NNT provides a real-world measure of a treatment's clinical impact.
  • A high RRR can be misleading if the baseline risk is very low, resulting in a high, less clinically significant NNT.

Practice Questions: Relationship with relative risk reduction

Test your understanding with these related questions

Group of 100 medical students took an end of the year exam. The mean score on the exam was 70%, with a standard deviation of 25%. The professor states that a student's score must be within the 95% confidence interval of the mean to pass the exam. Which of the following is the minimum score a student can have to pass the exam?

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Flashcards: Relationship with relative risk reduction

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_____ risk reduction is the proportion of risk reduction attributable to an intervention compared to a control

TAP TO REVEAL ANSWER

_____ risk reduction is the proportion of risk reduction attributable to an intervention compared to a control

Relative

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