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Record W2080071590 · doi:10.12968/ijtr.2005.12.8.19537

Pulsed electromagnetic field therapy and osteoarthritis of the knee: Synthesis of the literature

2005· article· en· W2080071590 on OpenAlexaff
Ray Marks, J van Nguyen

Bibliographic record

VenueInternational Journal of Therapy and Rehabilitation · 2005
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicElectromagnetic Fields and Biological Effects
Canadian institutionsProfessional Engineers OntarioOsteoporosis Canada
Fundersnot available
KeywordsOsteoarthritisMedicinePhysical therapyPhysical medicine and rehabilitationKnee JointJoint disorderAlternative medicineSurgeryPathology

Abstract

fetched live from OpenAlex

Knee joint osteoarthritis is a painful disorder, often resulting in progressive functional impairment and disability. One modality used in the treatment of knee osteoarthritis is pulsed electromagnetic field therapy. This article examines the evidence base that details the rationale for and the outcomes of applying pulsed electromagnetic fields to the osteoarthritic knee joint. The related English language literature was reviewed to examine whether pulsed electromagnetic fields applied to an osteoarthritic knee joint are likely to be efficacious, and if so why. Although limitations to the published literature on this topic exist, the available basic and seven randomized clinical research studies in this field support the value of continuing to explore the potential of applying pulsed electromagnetic fields to ameliorate pain and dysfunction associated with the osteoarthritic knee joint. Further clinical research to validate the use of pulsed electromagnetic fields in lessening osteoarthritic knee joint pain and facilitating function and joint repair is indicated.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.009
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.001
Bibliometrics0.0090.009
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.003
GPT teacher head0.219
Teacher spread0.216 · 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 designSystematic review
Domainnot available
GenreReview

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
Published2005
Admission routes1
Has abstractyes

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