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Electrotherapy for neck pain

2009· review· en· W4253087216 on OpenAlexaff
Peter Kroeling, Anita Gross, Charles H. Goldsmith, Stephen J Burnie, Ted Haines, Nadine Graham, Aron Brant

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2009
Typereview
Languageen
Field
Topic
Canadian institutionsSimon Fraser UniversityCanadian Memorial Chiropractic CollegeMcMaster University
Fundersnot available
KeywordsMedicineElectrotherapyBlindingTranscutaneous electrical nerve stimulationPhysical therapyNeck painPlaceboAcupunctureMEDLINEDry needlingRandomized controlled trialPhysical medicine and rehabilitationSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Neck pain is common, disabling and costly. The effectiveness of electrotherapy as a physiotherapeutic option remains unclear. This update replaces our 2005 Cochrane review on this topic. OBJECTIVES: To assess whether electrotherapy improves pain, disability, patient satisfaction, and global perceived effect in adults with neck pain. SEARCH STRATEGY: Computer-assisted searches of: CENTRAL, MEDLINE, EMBASE, MANTIS, CINAHL, and ICL, without language restrictions, from their beginning to December 2008; handsearched relevant conference proceedings; consulted content experts. SELECTION CRITERIA: Randomised controlled trials in any language, investigating the effects of electrotherapy, used primarily as unimodal treatment for neck pain. Quasi-RCTs and controlled clinical trials were excluded. DATA COLLECTION AND ANALYSIS: At least two authors independently conducted citation identification, study selection, data abstraction, and risk of bias assessment. We were unable to statistically pool any of the results, but assessed the quality of the evidence using an adapted GRADE approach. MAIN RESULTS: Eighteen small trials (1043 people with neck pain) with 23 comparisons were included. Analysis was limited by trials of varied quality, heterogeneous treatment subtypes and conflicting results. The main findings for reduction of neck pain by treatment with electrotherapeutic modalities are:Very low quality evidence that pulsed electromagnetic field therapy (PEMF), repetitive magnetic stimulation (rMS) and transcutaneous electrical nerve stimulation (TENS) are more effective than placebo.Low quality evidence that permanent magnets (necklace) are not more effective than placebo.Very low quality evidence that modulated galvanic current, iontophoresis and electric muscle stimulation (EMS) are not more effective than placebo.There were only four trials that reported on other outcomes such as function and global perceived effects, but none were of clinical importance. AUTHORS' CONCLUSIONS: We cannot make any definite statements on the efficacy and clinical usefulness of electrotherapy modalities for neck pain. Since the quality of evidence is low or very low, we are uncertain about the estimate of the effect. Further research is very likely to change both the estimate of effect and our confidence in the results. Current evidence for PEMF, rMS, and TENS shows that these modalities might be more effective than placebo but not other interventions. Funding bias should be considered, especially in PEMF studies. Galvanic current, iontophoresis, electric muscle stimulation(EMS), and static magnetic field did not reduce pain or disability. Future trials on these interventions should have larger patient samples and include more precise standardization and description of all treatment characteristics.

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)0.003
metaresearch head score (Gemma)0.008
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.018
Threshold uncertainty score0.061

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0040.003
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0180.002

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 head0.144
GPT teacher head0.415
Teacher spread0.271 · 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

Citations50
Published2009
Admission routes1
Has abstractyes

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