Efficacy of rapid-rate repetitive transcranial magnetic stimulation in the treatment of depression: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To systematically review the literature pertaining to rapid-rate repetitive transcranial magnetic stimulation (rTMS) compared with sham therapy for the treatment of a major depressive episode in order to arrive at qualitative and quantitative conclusions about the efficacy of rapid-rate rTMS. METHODS: MEDLINE, the Cochrane Library, the metaRegister of Controlled Trials and abstracts from scientific meetings were searched for the years 1966 until July 2003. The search terms "transcranial magnetic stimulation" and "transcranial magnetic stimulation AND depression" were used. Eighty-seven randomized controlled trials investigating the efficacy of rTMS were referenced on MEDLINE. Nineteen of these involved treatment of a major depressive episode, and these were reviewed. Six met more specific inclusion criteria including the use of rapid-rate stimulation, application to the left dorsolateral prefrontal cortex, evaluation with the 21-item Hamilton Rating Scale for Depression (HAM-D) and use of an intent-to-treat analysis. Scores on the 21-item HAM-D after treatment and standard deviations were extracted from each article for treatment and control subjects. A random-effects model was chosen for the meta-analysis, and the weighted mean difference was used as a summary measure. RESULTS: Six studies that met the inclusion criteria were identified and included in the meta-analysis. Two of these reported a significantly greater improvement in mood symptoms in the treatment versus the sham group. When combined in the meta-analysis, the overall weighted mean difference was -1.1 (95% confidence interval -4.5 to 2.3), and the results of a test for heterogeneity were not significant (chi2(5) = 5.81, p = 0.33). CONCLUSIONS: This meta-analysis suggests that rapid-rate rTMS is no different from sham treatment in major depression; however, the power within these studies to detect a difference was generally low. Randomized controlled trials with sufficient power to detect a clinically meaningful difference are required.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.041 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.022 | 0.026 |
| Bibliometrics | 0.008 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".