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Record W4414549144 · doi:10.2147/imcrj.s531201

Feasibility and Tolerability of Controllable Pulse Parameter Transcranial Magnetic Stimulation in Patients with Painful Diabetic Neuropathy: A Case Series Study

2025· article· en· W4414549144 on OpenAlex
Stevie D. Foglia, Chloe C. Drapeau, Harsha Shanthanna, Aimee J. Nelson

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueInternational Medical Case Reports Journal · 2025
Typearticle
Languageen
FieldNeuroscience
TopicTranscranial Magnetic Stimulation Studies
Canadian institutionsThe Mayer InstituteMcMaster University
Fundersnot available
KeywordsTolerabilityTranscranial magnetic stimulationNeuromodulationDiabetic neuropathyPulse (music)Diabetes mellitus

Abstract

fetched live from OpenAlex

This case series highlights the feasibility and tolerability of using controllable pulse parameter Transcranial Magnetic Stimulation (cTMS) in individuals with painful diabetic neuropathy (pDN). cTMS delivers repetitive monophasic pulses, which allows for greater and longer lasting effects compared to traditional repetitive TMS (rTMS). All participants (N = 2) tolerated 10 sessions of cTMS over a two-week period (five days per week) with no discomfort from the stimulation. They reported no pain from the stimulation despite their heightened pain sensitivity as a result of pDN. The cTMS intervention improved their pain and quality of life as determined through questionnaires evaluating pain, depression, anxiety, and other related measures. Notably, cTMS has never been evaluated in diabetic neuropathy, and our data suggest that it is feasible and tolerable in this clinical population. It further proposes a potential therapeutic treatment option for individuals with pDN.

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.

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)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.033
Threshold uncertainty score0.877

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.007
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 head0.019
GPT teacher head0.287
Teacher spread0.268 · 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