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Record W4390813577 · doi:10.1080/24740527.2023.2300026

Changes in pain following bilateral intermittent theta-burst, transcranial magnetic stimulation for depression: A retrospective chart review

2024· article· en· W4390813577 on OpenAlexafffund
Sawmmiya Kirupaharan, Roumen Milev, Joanne Bressee, S. R. Kelso, D. W. Scott, Felicia Iftene, Tim V. Salomons, Wilma M. Hopman, Ian Gilron

Bibliographic record

VenueCanadian Journal of Pain · 2024
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsProvidence Health CareQueen's University
FundersQueen's University
KeywordsTranscranial magnetic stimulationDepression (economics)MedicineInterquartile rangeAnxietyBeck Depression InventoryVisual analogue scalePhysical therapyRetrospective cohort studyBeck Anxiety InventoryAnesthesiaInternal medicineStimulationPsychiatry

Abstract

fetched live from OpenAlex

Introduction: Pain management in patients with chronic pain and comorbid depression is challenging and understudied. There is interest in intermittent theta-burst stimulation (iTBS), a new modality of repetitive transcranial magnetic stimulation (rTMS). This retrospective review describes changes in pain, anxiety and depression throughout iTBS treatment at the dorsolateral prefrontal cortex (DLPFC). Methods: A retrospective chart review was conducted of patients who underwent their first acute series of iTBS treatments at the DLPFC for depression at a single institution between 2020 and 2023. Data on depression, anxiety, and pain were collected throughout iTBS treatment using the Beck Depression Inventory-II (BDI-II; higher scores indicate worse depression) and visual analogue scale (VAS; 0-100, higher scores indicate worse pain, anxiety, and depression). Nonparametric tests were used for all analyses. Results: = 0.004). Ten of 32 patients with available pre- and posttreatment scores reported ≥30% reduction in pain scores (31.2%). Conclusion: These preliminary results, suggesting decreases in pain following iTBS treatment, provide a rationale for future rigorous investigations to evaluate this intervention for depression and comorbid chronic pain.

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)0.003
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.702
Threshold uncertainty score0.692

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.038
GPT teacher head0.286
Teacher spread0.248 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designOther design
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

Citations5
Published2024
Admission routes2
Has abstractyes

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