Statistics from Altmetric.com
Dear Dr Peterson:
Your observation is correct and implicitly concurs with our example, but we failed to correctly state when to divide by factor f and when to multiply. In paragraph #6 we wrote: “... the baseline risk of included trials ranged from 2% to 22%...the corresponding NNT for an average follow-up of 18 months is 263 (CI 185 to 500) for a baseline risk of 2% and 24 (CI 17 to 45) for a baseline risk of 22%.”
In paragraph #7 we wrote: “If the baseline risk of an individual patient is a factor f compared with the baseline risk of a typical study patient and the relative risk is constant, the ARR for the patient is scaled according to the same factor f.” Thus, and as you state, if the baseline risk increases by factor f, the NNT needs to be divided by f. For example, for baseline risk 2% × 11 = 22%, the NNT becomes 263 ÷ 11 = 24.
Thank you for giving us the opportunity to clarify this point and apologies for any confusion this may have caused.
In the seventh paragraph of the editorial by Marx and Bucher,1 the fifth and sixth sentences should appear as follows:
Thus, in our example, if a high risk patient is judged to have baseline risk 11 times higher than that of a low risk patient, then f = 11 and the corresponding NNT is 263 ÷ 11 = 24. Confidence intervals can also easily be estimated by dividing the limits of the corresponding confidence interval from the original study by the factor f.
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