How to Determine Whether Research Findings Are Clinically Relevant

Findings are clinically relevant when the effect is large enough to matter to patients, measured on outcomes patients care about, applicable to people like those you treat, and worth the harms, burdens and costs. A statistically significant result is not automatically clinically relevant.

Questions to ask

1. Is the outcome important? Survival, symptoms and function matter more than a surrogate marker.
2. How big is the effect in absolute terms? Relative reductions can look large when baseline risk is small.
3. Is it precise? Check the confidence interval: does it include trivial or harmful effects?
4. Does it exceed a minimal clinically important difference where one is defined?
5. What are the harms and costs?
6. Do participants resemble your patient?
7. Do patient values and preferences change the balance?

Absolute and relative effects

Illustrative example (invented numbers). A drug reduces stroke from 2% to 1% over five years: a 50% relative risk reduction but a 1 percentage point absolute reduction. The number needed to treat is 1/0.01 = 100 people treated for five years to prevent one stroke. For a patient with a baseline risk of 10%, the same relative effect would give a 5-point absolute reduction (NNT 20).

Applying it

Combine the evidence with the patient's baseline risk and preferences, discuss benefits and harms, and decide together. Certainty of evidence (for example using GRADE) influences how strongly to act.

Using numbers to communicate

Convert relative effects to absolute numbers for your patient, such as "about 10 fewer events per 1,000 people treated over five years". Pair them with the harms in the same format, for example "and about 5 more bleeding events". Present uncertainty by quoting the interval, and check with the patient what outcomes matter most to them.

Common pitfalls

• Quoting relative risk reduction without baseline risk.
• Treating surrogate outcomes as proof of patient benefit.

Key takeaways

• Look at absolute effects, precision, outcome importance and applicability.
• Statistical significance does not imply clinical importance.

This page is general educational information about research methods. It is not medical, legal or regulatory advice; follow your institution's ethics board and your target journal's instructions.