MétaCan
Menu
Back to cohort
Record W2401216004

Effect of Repetitive Magnetic Stimulation and Transcutaneous Electrical Nerve Stimulation in Chronic Low Back Pain: A Pilot Study

2010· article· en· W2401216004 on OpenAlexaboutno aff
Jaeyoung Kim, Seung-Hyun Yoon, Ueon Woo Rah, Kye Hee Cho, Ji Yeon Hong

Bibliographic record

VenueAnnals of Rehabilitation Medicine · 2010
Typearticle
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineTranscutaneous electrical nerve stimulationStimulationAnesthesiaMcGill Pain QuestionnaireChronic painOswestry Disability IndexLow back painPhysical therapyVisual analogue scaleInternal medicine
DOInot available

Abstract

fetched live from OpenAlex

Objective : To evaluate the short and medium effect of peripheral repetitive magnetic stimulation therapy on chronic low back pain compared with transcutaneous electrical nerve stimulation therapy. Method : Twenty-three subjects with chronic low back pain were allocated randomly to repetitive magnetic stimulation group (n=13) and transcutaneous electrical nerve stimulation group (n=10). Each treatment consisted of 10-minutes sessions each day, totally 10 sessions over 2 weeks. Subjects were evaluated pre-treatment and post-treatment at 8 hours and 2 weeks. Outcome was measured with the Oswestry disability index, McGill pain questionnaire, and daily mean pain numeric rating scale. Results : At 8 hours and 2 weeks post-treatment, transcutaneous electrical nerve stimulation therapy group showed a significant improvement in the mean pain numeric rating scale. Two weeks post-treatment, transcutaneous electrical nerve stimulation therapy group showed a significant improvement in the Oswestry disability index. But there were no significant therapeutic effect of repetitive magnetic stimulation therapy group at all period. Conclusion : This study showed that repetitive magnetic stimulation therapy may be less effective than transcutaneous electrical nerve stimulation therapy for the treatment of chronic low back 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)0.005
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.492
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.010
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.014
GPT teacher head0.330
Teacher spread0.316 · 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

Citations3
Published2010
Admission routes1
Has abstractyes

Explore more

Same venueAnnals of Rehabilitation MedicineSame topicMusculoskeletal pain and rehabilitationFrench-language works237,207