The efficacy of a drug is a quantitative concept rather than a qualita
tive one. This quantity is expressed by several efficacy indices. None
of them meet all the requirements. However, that of absolute benefit
is especially suitable for the patients because it tells them the exac
t gain they can expect from taking the treatment. The absolute benefit
varies according to patients' profiles because it interacts with some
components of these profiles. In theory, such interactions can be use
d to predict the size of the absolute benefit for each patient, as wel
l to describe better than with the current tools the therapy target po
pulation. We explain why meta-analysis and effect models are means of
improving the prediction of the size of the effect and the definition
of the therapy target population.