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Record W4393253357 · doi:10.1213/xaa.0000000000001768

Repetitive Transcranial Magnetic Stimulation with Sensorimotor Training for the Treatment of Complex Regional Pain Syndrome Type 2 of the Upper Limb Case Report

2024· article· en· W4393253357 on OpenAlexaff
Stevie D. Foglia, Chloe C. Drapeau, Ravjot S. Rehsi, Karishma R. Ramdeo, Harsha Shanthanna, Aimee J. Nelson

Bibliographic record

VenueA&A Practice · 2024
Typearticle
Languageen
FieldMedicine
TopicPain Management and Treatment
Canadian institutionsMcMaster University
Fundersnot available
KeywordsTranscranial magnetic stimulationComplex regional pain syndromeAllodyniaPhysical medicine and rehabilitationMedicineWristPhysical therapyStimulationPsychologyHyperalgesiaNociceptionSurgeryInternal medicine

Abstract

fetched live from OpenAlex

This case report describes the use of repetitive transcranial magnetic stimulation (rTMS) combined with sensorimotor training (SMT) to treat an individual with complex regional pain syndrome (CRPS) type 2 with allodynia of the right hand/wrist. After the 9-week intervention, there was a clinically meaningful reduction in pain intensity which continued to 3 months after intervention. Further, clinically meaningful improvements in wrist and hand function and allodynia were observed. Although the use of rTMS for CRPS has been reported, this unique report provides valuable insight into the clinical utility of rTMS plus SMT for the treatment of CRPS and related symptoms.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.505
Threshold uncertainty score0.234

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.095
GPT teacher head0.351
Teacher spread0.257 · 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 designCase report
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

Citations2
Published2024
Admission routes1
Has abstractyes

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