In clinical studies of antidepressants, the Hamilton Depression Rating Scal
e (HAMD) total score has been the gold standard instrument for establishing
and comparing the efficacy of new treatments. However, the HAMD is a multi
dimensional measure, which may reduce its ability to detect differences bet
ween treatments, in particular, changes in core symptoms of depression. Two
mete-analyses were conducted to compare the responsiveness of the HAMD tot
al score with several published unidimensional subscale scores based upon c
ore symptoms of depression. The first compared the above instrument's abili
ty to detect differences between fluoxetine and placebo across eight studie
s involving over 1600 patients. The second analysis involved four studies a
nd over 1200 patients randomized to tricyclic antidepressants and placebo.
In both meta-analyses, the unidimensional core subscales outperformed the H
AMD total score at detecting treatment differences. The implications of thi
s on sample sizes and power for clinical studies will be discussed. In fact
, studies based on the observed effect sizes from the core subscales would
require approximately one-third less patients than studies based on the HAM
D total score. Effect sizes from each individual HAMD item will also be pre
sented to help explain the differences in responsiveness between the scales
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