摘要：According to a narrative review of 13 meta-analyses (published up to 2010), repetitive transcranial magnetic stimulation (rTMS) has a moderate, short-term antidepressant effect in the treatment of major depression. The aim of the current study was to reanalyse the data from these 13 meta-analyses with a uniform meta-analytical procedure and to investigate predictors of such an antidepressant response. A total of 40 double-blind, randomised, sham-controlled trials with parallel designs, utilising rTMS of the dorsolateral prefrontal cortex in the treatment of major depression, was included in the current meta-analysis. The studies were conducted in 15 countries on 1583 patients and published between 1997-2008. Depression severity was measured using the Hamilton Depression Rating Scale, Beck Depression Inventory, or Montgomery Åsberg Depression Rating Scale at baseline and after the last rTMS. A random-effects model with the inverse-variance weights was used to compute the overall mean weighted effect size, Cohen's d. There was a significant and moderate reduction in depression scores from baseline to final, favouring rTMS over sham (overall d = -.54, 95% CI: -.68, -.41, N = 40 studies). Predictors of such a response were investigated in the largest group of studies (N = 32) with high-frequency (>1 Hz) left (HFL) rTMS. The antidepressant effect of HFL rTMS was present univariately in studies with patients receiving antidepressants (at stable doses or started concurrently with rTMS), with treatment-resistance, and with unipolar (or bipolar) depression without psychotic features. Univariate meta-regressions showed that depression scores were significantly lower after HFL rTMS in studies with higher proportion of female patients. There was little evidence for publication bias in the current analysis. Daily rTMS (with any parameters) has a moderate, short-term antidepressant effect in studies published up to 2008. The clinical efficacy of HFL rTMS may be better in female patients not controlling for any other study parameters.
