Repetitive Transcranial Magnetic Stimulation for the Treatment of Post-Stroke Depression

TITLE
Repetitive Transcranial Magnetic Stimulation for the Treatment of Post-Stroke Depression: A Systematic Review and Meta-Analysis of Randomized Controlled Clinical Trials

AUTHORS
Shen X; Liu M; Cheng Y; Jia C; Pan X; Gou Q; Liu X; Cao H; Zhang L.

SOURCE
Journal of Affective Disorders. 211:65-74, 2017 Mar 15.

BACKGROUND
Every year, more than fifteen million people worldwide experience a stroke, nearly 30% of stroke survivors are likely to experience post-stroke depression (PSD). Repetitive transcranial magnetic stimulation (rTMS) is one of the emerging techniques which assist in targeting rehabilitation after stroke. Although deterioration of PSD greatly affects the recovery and quality of life of stroke sufferers, the effect of rTMS therapy has not been systematically studied.

OBJECTIVE
A systematic review and meta-analysis was conducted to determine the effect of rTMS on PSD.

METHODS
We carried out a systematic review and meta-analysis of randomized controlled trials (RCTs) of rTMS for the treatment of PSD. Primary outcome was severity of depression measured by the Hamilton Depression Rating Scale (HAMD). Secondary outcomes were response rates, remission rates, stroke severity and ability to perform daily activities.

RESULTS
22 RCTs studies (n=1764 patients) were included. The results demonstrated that rTMS was beneficial on PSD using three scales: HAMD (MD=-6.09, 95% CI: -7.74, -4.45, P<0.001); response rates (OR=3.46, 95% CI: 2.52, 4.76, P<0.00001); remission rates (OR 0.99, 95% CI: 0.56, 1.75, P<0.00001); National Institutes of Health Stroke Scale (NIHSS) (MD=-2.74, 95% CI: -3.33, -2.15, P<0.001); Activities of daily living (ADL) (SMD=-1.20, 95% CI: 0.68, 1.72, P<0.001); Montgomery-Asberg Depression Scale (MARDE) (MD=-6.21; 95% CI: -9.34, -3.08; P=0.0001);

CONCLUSION
In present meta-analysis, the positive findings suggest rTMS has beneficial effects on PSD. However, those findings should be treated with caution because of heterogeneity and potential biases.