Module 3.4 Clinical Importance

Now that you know the results are valid and well-reported, are they clinically important?

A very large clinical trial may be able to show small differences between interventions that have little clinical significance. Statistical significance does not always equate to clinical significance.

Statistical significance Clinical significance
Is a treatment effect (therapy) or improvement in sensitivity/specificity (diagnosis), clinically relevant? A small therapeutic benefit or improvement in sensitivity may be important for a highly fatal disease but may not be enough to justify a new intervention in a disease with a good prognosis.
What level of uncertainty surrounds any results? Are CIs given? A CI shows the range of results within which the ‘true’ result is likely to fall. If a 95% CI is given, this means that if a study was repeated many times with in the same population, the ‘true’ value should fall within these limits 95% of the time.
If CIs are given, do they encompass values that would not be clinically relevant? A larger clinical trial should give a smaller CI, and a more precise estimate of the likely treatment effect.
Do the risks of a treatment or diagnostic procedure outweigh the potential benefits? What are the toxicities and side effects of an intervention?
How do these compare with the comparator arm?
Is there potential morbidity in performing a test that outweighs the benefits of making a diagnosis?
Some examples of statistical significance compared with the corresponding clinical significance.

 

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