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Record W2002185073 · doi:10.4088/jcp.12r07996

High-Frequency Repetitive Transcranial Magnetic Stimulation Accelerates and Enhances the Clinical Response to Antidepressants in Major Depression

2013· review· en· W2002185073 on OpenAlexaff
Marcelo T. Berlim, Frédérique Van den Eynde, Zafiris J. Daskalakis

Bibliographic record

VenueThe Journal of Clinical Psychiatry · 2013
Typereview
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsDouglas Mental Health University Institute
Fundersnot available
KeywordsTranscranial magnetic stimulationDepression (economics)Randomized controlled trialMedicineMeta-analysisPsycINFOInternal medicineAntidepressantOdds ratioTreatment-resistant depressionPsychiatryMEDLINEPsychologyStimulation

Abstract

fetched live from OpenAlex

OBJECTIVE: High-frequency repetitive transcranial magnetic stimulation (HF-rTMS) is a safe and effective treatment for major depression. However, its utility as a strategy to accelerate and improve clinical response to antidepressants is still unclear. DATA SOURCES: We searched the literature from 1995 through May 2012 using EMBASE, PsycINFO, Cochrane Central Register of Controlled Trials, Scopus, and ProQuest Dissertations and Theses, and, from October 2008 until May 2012, by using MEDLINE. We included only studies written in the English language. STUDY SELECTION: We selected all randomized, double-blind, and sham-controlled trials on HF-rTMS used as an accelerating (add-on) strategy to antidepressants for major depression. DATA EXTRACTION: We performed a random effects meta-analysis using odds ratios (ORs) for response and remission rates following HF-rTMS and sham rTMS. Two time points were considered: the end of the add-on HF-rTMS stimulation period (T1) and the end of the study (T2). RESULTS: Data were obtained from 6 randomized controlled trials (RCTs), totaling 392 subjects with major depression. For T1 (at mean ± SD 2.67 ± 0.82 weeks following start of combined rTMS + antidepressant treatment), 6 studies reported on response and 4 on remission rates. We found significantly higher response rates for active HF-rTMS (43.3%; 84/194) compared to sham rTMS (26.8%; 53/198) (OR = 2.5; 95% CI, 1.12-5.56; P = .025); however, remission rates did not differ between groups (P = .33). Heterogeneity between the included RCTs reporting data on response and remission rates at T1 was significant (response: Q5 = 11.4, P = .044, I2 = 56.12; remission: Q3 = 12.24, P = .007, I2 = 75.45). For study end (T2; at mean ± SD 6.80 ± 3.11 weeks following start of combined rTMS + antidepressant treatment), 5 studies reported on response and 4 on remission rates; overall, response rates at T2 were significantly higher for subjects receiving HF-rTMS in comparison to those receiving sham rTMS (62% [104/168] and 46% [79/172], respectively; OR = 1.9; 95% CI, 1.003-3.56; P = .049). Also, 53.8% (57/106) and 38.64% (36/107) of subjects receiving active HF-rTMS and sham rTMS, respectively, were in remission at T2 (OR = 2.42; 95% CI, 1.27-4.61; P = .007). Heterogeneity between the included RCTs reporting data on remission rates at T2 was not significant, although RCTs reporting on response rates at T2 were heterogeneous. The baseline depression scores for active and sham rTMS groups were similar. Finally, HF-rTMS was comparable to sham rTMS in terms of dropout rates. CONCLUSIONS: HF-rTMS is a promising strategy for accelerating clinical response to antidepressants in major depression, providing clinically meaningful benefits that are comparable to those of other agents such as triiodothyronine and pindolol. Furthermore, HF-rTMS seems to be an acceptable treatment for depressed subjects.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.008
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.975
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.149
GPT teacher head0.459
Teacher spread0.310 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designOther design
Domainnot available
GenreReview

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".

Quick stats

Citations101
Published2013
Admission routes1
Has abstractyes

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