MétaCan
Menu
Back to cohort
Record W2413751529 · doi:10.1002/wps.20300

Clinical efficacy and safety of repetitive transcranial magnetic stimulation in acute bipolar depression

2016· letter· en· W2413751529 on OpenAlexaffabout
Alexander McGirr, Sneha Karmani, Rashmi Arsappa, Marcelo T. Berlim, Jagadisha Thirthalli, Kesavan Muralidharan, Lakshmi N. Yatham

Bibliographic record

VenueWorld Psychiatry · 2016
Typeletter
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsCentre for Movement DisordersMcGill UniversityDouglas Mental Health University InstituteUniversity of British Columbia
Fundersnot available
KeywordsHypomaniaBipolar disorderManiaRandomized controlled trialMedicineDepression (economics)Transcranial magnetic stimulationPsychiatryMajor depressive disorderBipolar II disorderMajor depressive episodeInternal medicineMoodStimulation

Abstract

fetched live from OpenAlex

Though bipolar disorder is characterized by episodes of mania/hypomania, depressive episodes pose the most burden for patients suffering from the disorder. Regrettably, few proven treatments exist for bipolar depression, and many patients either do not respond to, or have difficulty tolerating these treatments. Hence, novel, safe and effective treatments are urgently needed. The neuromodulatory approaches, such as repetitive transcranial magnetic stimulation (rTMS), have been demonstrated to be efficacious in randomized double-blind sham-controlled trials (RCTs) in treating depressive episodes in patients with major depressive disorder. However, it is unclear whether the antidepressant efficacy of rTMS extends to bipolar depression. Many RCTs of rTMS in major depression have included patients with bipolar depression. Therefore, our objective was to systematically review the rTMS literature to identify bipolar patients included in randomized trials in order to synthesize the data on clinical efficacy and safety of rTMS in bipolar depression. We registered the literature review protocol with PROSPERO (CRD#42015017089), which involved considering systematic reviews of rTMS in major depression and searching English-language publications in MEDLINE, EMBASE, and CENTRAL until July 11, 2015. We included randomized, double-blind, sham-controlled trials of rTMS involving ≥5 sessions that randomized patients with bipolar depression to both active and sham rTMS arms. We excluded RCTs that did not include patients with bipolar disorder, and those for which rates of clinical response were not reported or could not be obtained in correspondence with the investigators. We synthesized the data using Comprehensive Meta-Analyses Version 2.0 (Biostat, Englewood, NJ, USA). We analyzed intention to treat data with random effects models. Efficacy was investigated by risk difference (RD) and the number needed to treat (NNT). Supporting materials, including detailed methods, tables and figures are available by contacting the authors (alexander.mcgirr@alumni.ubc.ca). In total, we retained 19 RCTs in our meta-analysis1-19, totaling 181 patients with bipolar disorder (type I, N=40; type II, N=20; unspecified, N=121). The RCTs employed different stimulation targets: the left dorsolateral prefrontal cortex (DLPFC)1-6, 9-11, 13, 16, 17, the right DLPFC8, 14, 15, 18, or bilateral DLPFC7, 12, 17, 19. The majority of studies delivered high-frequency stimulation (HFS)1, 3-6, 9-13, 16, 18, while some delivered low-frequency stimulation (LFS)3, 8, 9, 15, 18, sequential LFS and HFS7, 17, 19, or theta burst stimulation (TBS)2, 14, 17. Significantly more patients receiving active rTMS achieved clinical response at study end compared to patients receiving sham rTMS (47/106, 44.3%, vs. 19/75, 25.3%; RD=0.18, 95% CI: 0.06-0.30, p<0.01). This represents a NNT of 6 (95% CI: 4-15). The fail-safe N was 29, suggesting that 29 missing or null studies are required to render this finding not statistically significant. Examination of the funnel plot revealed an asymmetrical distribution, with substantial loading at RD=0. Despite considerable methodological heterogeneity, there was no statistical evidence of heterogeneity (Q=19.99, df=22, I2=0.00, p=0.58; Egger's intercept =-0.36, t(21)=0.42, p=0.67). The optimal stimulation target and parameters are important considerations in rTMS due to differing physiological effects. We observed a trend towards differential target efficacy (Q=5.72, df=2, p=0.057). Indeed, RCTs targeting the right DLPFC demonstrated superior efficacy, with 9/15 (60.0%) of active rTMS patients achieving clinical response compared to 1/15 (6.6%) of sham rTMS patients. This represents a RD of 0.48 (95% CI: 0.17-0.78, p<0.001) and a NNT of 3 (95% CI: 2-6). RCTs targeting the left DLPFC also separated from placebo, with 33/68 (48.5%) of patients receiving active rTMS achieving clinical response compared to 15/50 (30.0%) of sham-treated patients (RD=0.16, 95% CI: 0.00-0.31, p<0.05), for a NNT of 7 (95% CI: 4-112). We did not observe separation between active and sham rTMS in RCTs employing bilateral stimulation (5/23, 21.73% vs. 3/14, 21.42%, p=0.68). We did not observe differential efficacy based on stimulation parameters. The issue of treatment-emergent affective switches in managing bipolar depression is important and controversial, and extends to neuromodulatory treatments. We observed a very low rate of treatment-emergent affective switches, and we did not observe an increased risk associated with active rTMS (1/106, 0.9% vs. 1/75, 1.3%, p=0.97). Though preliminary in nature, our analyses suggest that rTMS may be a safe and efficacious treatment option for acute bipolar depression. The degree of efficacy appears, on the surface, to be comparable to that observed among patients with major depressive disorder. Indeed, an overall NNT of 6 for clinical response is comparable to the NNTs reported in meta-analyses of rTMS in that disorder. Protocols targeting the right DLPFC with inhibitory LFS or TBS may be particularly efficacious; however, this is based on a small number of trials, influenced by a low sham-response rate, and requires additional investigation. Unfortunately, two RCTs dedicated to bipolar depression, with a total of 25 patients, could not be included, as clinical response and/or treatment protocols were unavailable in published form or through correspondence with investigators. Other biases include methodological heterogeneity between RCTs, and the limited number of RCTs and patients. Moreover, obtaining bipolar depressed data relied in large part on correspondence with investigators, and any bias related to successfully accessing this data remains. This is, to our knowledge, the first meta-analysis of RCTs of rTMS in the treatment of acute bipolar depression. We capitalized on the inclusion of patients with bipolar disorder in sham-controlled RCTs of rTMS in the treatment of major depression to identify 181 patients. Our analyses suggest that rTMS may be efficacious and safe in the treatment of acute bipolar depression and does not appear to be associated with treatment-emergent affective switches. Further, large sham-controlled RCTs are needed in bipolar depression to confirm the efficacy of rTMS. Alexander McGirr1, Sneha Karmani2, Rashmi Arsappa2, Marcelo T. Berlim3,4, Jagadisha Thirthalli2, Kesavan Muralidharan2, Lakshmi N. Yatham1,5 1Department of Psychiatry, University of British Columbia, Vancouver, BC, Canada; 2Department of Psychiatry, National Institute of Mental Health and Neurosciences, Bangalore, India; 3Neuromodulation Research Clinic, Douglas Mental Health University Institute and McGill University, Montréal, Québec, Canada; 4Depressive Disorders Program, Douglas Mental Health University Institute and McGill University, Montréal, Québec, Canada; 5Mood Disorders Centre of Excellence, University of British Columbia, Vancouver, BC, Canada The first two authors contributed equally to this work.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.559
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
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 head0.025
GPT teacher head0.316
Teacher spread0.290 · 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 designObservational
Domainnot available
GenreCommentary

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

Citations93
Published2016
Admission routes2
Has abstractyes

Explore more

Same venueWorld PsychiatrySame topicTranscranial Magnetic Stimulation StudiesFrench-language works237,207