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Record W4311451328 · doi:10.21203/rs.3.rs-2327509/v1

The Safety and Feasibility of Transcranial Direct Current Stimulation Combined with Conservative Treatment for Cervicogenic Headaches: A double-blinded randomized control study

2022· preprint· en· W4311451328 on OpenAlexafffund
Kaiden Jobin, Christina Campbell, Siobhan M. Schabrun, Ashley Smith, Chantel Theresa Debert

Bibliographic record

VenueResearch Square · 2022
Typepreprint
Languageen
FieldMedicine
TopicMigraine and Headache Studies
Canadian institutionsUniversity of CalgaryWestern University
FundersUniversity of Calgary
KeywordsDouble blindedCervicogenic headacheHeadachesTranscranial direct-current stimulationMedicineConservative treatmentRandomized controlled trialPhysical medicine and rehabilitationPhysical therapyAnesthesiaMigraineStimulationSurgeryInternal medicineAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Background Cervicogenic headaches (CGH) are common following concussion and whiplash injuries and significantly reduce patient quality of life. CGH is often associated with neck, jaw and/or facial pain and reduced neck mobility. Conservative therapy and injection-based therapies are cornerstones of treatment for CGH but have shown limited efficacy. Transcranial direct current stimulation (tDCS) over the primary motor cortex (M1) has shown promise in treating other chronic pain and headache conditions. The primary aim of this trial is to evaluate the feasibility and safety of tDCS when combined with conservative therapy for the treatment of CGH. The study will evaluate retention and dropout rates, adherence to the protocol and adverse events. Exploratory aims will investigate the association of CGH and various health outcomes, inclusive of pain intensity, headache frequency and duration, neck mobility, quality of life, pain sensitivity, and medication usage. Methods Forty adults (aged 18–65), blinded to treatment arm, will be randomized into one of two groups: active tDCS with conservative therapy or sham tDCS with conservative therapy. tDCS will be applied over M1 by a trained research assistant three times per week for 6 weeks. Conservative therapy will be provided immediately post-tDCS. The primary outcomes of this trial will be the feasibility and safety of this intervention. Feasibility will be defined as greater than 30% recruitment, greater than 70% protocol adherence, and greater than 70% retention rate. Safety will be defined as no severe adverse events and less than 30% increase in adverse effects. Secondary exploratory outcomes will be assessed using the following: numeric pain rating scale (NPRS), headache impact test-6 (HIT-6), rivermead PPCS questionnaire (RPQ), cranio-cervical flexion test (CCFT), cervical extensor endurance test (CEET), cervical flexor endurance test (CFET), dynamometry neck-strength assessment (DNSA), the European quality of life five dimension (EQ-5D), patient reported outcomes measurement information system (PROMIS) pain interference scale, pain catastrophizing scale (PCS), and section A - quantitative analgesics questionnaire (QAQ-A). Discussion This pilot study will be the first to evaluate the use of tDCS combined with conservative therapy for the treatment of cervicogenic headaches. Trial Registration: ClinicalTrials.gov - NCT05582616 (registered October 4th, 2022) https://clinicaltrials.gov/ct2/show/NCT05582616

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.009
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.009
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.003
Bibliometrics0.0010.001
Science and technology studies0.0010.003
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0050.002
Insufficient payload (model declined to judge)0.0070.001

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 head0.219
GPT teacher head0.479
Teacher spread0.260 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
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
Published2022
Admission routes2
Has abstractyes

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