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Record W4406657056 · doi:10.1016/j.transm.2025.100087

Retreatment with intermittent theta burst stimulation for depression: A retrospective chart review

2025· article· en· W4406657056 on OpenAlexafffund
Michelle S. Goodman, Rafae A. Wathra, Radhika Suneel Kelkar, Alisson Paulino Trevizol, Tyler S. Kaster, Daphne Voineskos, Daniel M. Blumberger

Bibliographic record

VenueTranscranial magnetic stimulation . · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsUniversity Health NetworkSt Joseph's Health CareUniversity of TorontoWestern UniversityCentre for Addiction and Mental Health
FundersTemerty Family FoundationCampbell Family Mental Health Research InstituteCentre for Addiction and Mental Health
KeywordsDepression (economics)StimulationChartPsychologyMedicineAudiologyPsychiatryNeuroscienceStatisticsMathematicsKeynesian economicsEconomics

Abstract

fetched live from OpenAlex

Background Repetitive transcranial magnetic stimulation (rTMS) is an effective intervention for major depressive disorder. The efficacy of retreatment with rTMS has not been well-characterized, especially with newer forms of rTMS such as theta burst stimulation (TBS). Methods A retrospective chart review was conducted to assess the efficacy of retreatment with intermittent TBS (iTBS) in adults who had received a previous course of once daily rTMS (either iTBS or high frequency rTMS to the left prefrontal cortex). Results 47 patients met eligibility criteria for this chart review. The response rate was 36.2 % and remission rate was 19.1 % with retreatment iTBS. Overall, the response rate among those who had previously responded to their initial course of either HFL or iTBS was 44.1 % (36.4 % for those who received HFL and 47.8 % for iTBS) vs. 15.4 % (0 % for those who received HFL and 22.2 % for iTBS) among those who had not previously responded (Fisher's exact p = 0.099). Conclusion Findings from this chart review provide some preliminary information regarding the ‘real world' effectiveness of retreatment iTBS in patients with MDD. Further studies are needed to confirm these findings, prospectively.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.786
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.026
GPT teacher head0.301
Teacher spread0.274 · 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
GenreEmpirical

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

Citations0
Published2025
Admission routes2
Has abstractyes

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