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Electrotherapy for neck disorders

2005· review· en· W1548854934 on OpenAlexaff
Peter Kroeling, Anita Gross, Charles H. Goldsmith, Pamela E. Houghton

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2005
Typereview
Languageen
Field
Topic
Canadian institutionsWestern UniversityMcMaster University
Fundersnot available
KeywordsMedicineElectrotherapyPhysical therapyPhysical medicine and rehabilitationAlternative medicinePathology

Abstract

fetched live from OpenAlex

BACKGROUND: Neck disorders are common, disabling and costly. The effectiveness of electrotherapy as a physiotherapy option has remained unclear. OBJECTIVES: To assess whether electrotherapy, either alone or in combination with other treatments, relieves pain, or improves function/disability, patient satisfaction, and global perceived effect in adults with mechanical neck disorders (MND). SEARCH STRATEGY: Computer-assisted searches of bibliographic databases: CENTRAL, MEDLINE, EMBASE, MANTIS, CINAHL, and ICL, without language restrictions, from their beginning to March 2003. SELECTION CRITERIA: Randomised or controlled clinical trials with quasi-randomisation (alternate allocation, case record numbers, dates of birth, etc.), in any language, investigating the effects of electrotherapy as a treatment for MND. DATA COLLECTION AND ANALYSIS: At least two authors independently conducted citation identification, study selection, data abstraction, and methodological quality assessment. Using a random-effects model, relative risk, and standardized mean differences were calculated. The reasonableness of combining studies was assessed on clinical and statistical grounds. Due to heterogeneity, pooled effect measures were not calculated. MAIN RESULTS: Fourteen comparisons (525 people with MND), in 11 publications, were included in this review. The analysis was limited by underpowered low quality trials, paucity of literature, and heterogeneity of treatment subtypes. The results for the electrotherapy subtypes are: Limited evidence of benefit: low or high frequency pulsed electromagnetic field (PEMF) compared to placebo, provides immediate post treatment pain relief only for chronic MND, acute whiplash (WAD) Unclear or conflicting evidence: direct and modulated Galvanic current compared to other treatments for pain in acute, subacute, chronic occipital headache iontophoresis compared to other treatments for pain, RTW, and self-assessment of overall outcome in acute, subacute WAD TENS compared to placebo for pain in acute WAD, chronic MND PEMF compared to placebo for medium or long term effect on pain, patient assessment of improvement, ADL in acute WAD, chronic MND Limited evidence of no benefit: diadynamic current compared to placebo for reduction of trigger point tenderness in chronic MND with radicular findings, cervicogenic headache permanent magnets compared to a placebo for pain in chronic MND electric muscle stimulation compared to a sham control for pain in chronic MND. AUTHORS' CONCLUSIONS: We can not make any definitive statements on electrotherapy for MND. The current evidence on Galvanic current (direct or pulsed), iontophoresis, TENS, EMS, PEMF and permanent magnets is either lacking, limited, or conflicting. Possible new 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)0.002
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: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.062

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0040.004
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.002

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 head0.125
GPT teacher head0.420
Teacher spread0.295 · 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

Citations49
Published2005
Admission routes1
Has abstractyes

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