Repetitive Transcranial Magnetic Stimulation for the Treatment of Post-traumatic Stress Disorder: A Systematic Review and Network Meta-analysis: La Stimulation Magnétique Transcrânienne Répétitive Pour le Traitement du Trouble de Stress Post-Traumatique : Une Revue Systématique et une Méta-Analyse en Réseau
Bibliographic record
Abstract
BACKGROUND: Repetitive transcranial magnetic stimulation (rTMS) is a promising treatment modality for Post-traumatic stress disorder (PTSD). Several targets and stimulation parameters have been investigated, and while previous meta-analyses have suggested that rTMS is efficacious, these have pooled different stimulation parameters and targets, and the relative efficacy of each is unknown. METHODS: We therefore performed a systematic review and network meta-analysis of randomized controlled trials (RCTs) by searching MEDLINE, EMBASE, CENTRAL, and PsycINFO and retaining RCTs with at least 5 individuals per arm and clinician-rated PTSD symptoms (PROSPERO CRD42019134984). We adhered to PRISMA guidelines, and 2 independent reviewers screened studies for eligibility and extracted the primary outcome of clinician-rated PTSD symptoms. Dropouts were extracted as a proxy for acceptability. Random effects pairwise meta-analyses and a network meta-analysis were performed. RESULTS: We synthesize data from 10 RCTs with a total of 421 participants. Two rTMS interventions targeting the right dorsolateral prefrontal cortex (DLPFC) improved PTSD symptoms relative to sham: low-frequency stimulation (SMD = 0.70; 95% CI, 0.22 to 1.18) and high-frequency stimulation (SMD = 0.71; 95% CI, 0.11 to 1.31). Medial PFC dTMS, right DLPFC intermittent theta-burst stimulation, and left DLPFC high-frequency stimulation did not separate from sham. Dropouts as a proxy for acceptability revealed no differences between any of the active conditions or sham nor did any of the active conditions differ from each other. CONCLUSION: The current literature does not support efficacy differences between interventions; however, protocols stimulating the right DLPFC appear superior to sham. It is unclear whether this reflects heterogeneity in pathology requiring a personalized medicine approach or nonspecific mechanisms of rTMS.
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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 | 0.021 | 0.047 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.021 | 0.034 |
| Bibliometrics | 0.009 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".