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Massage for mechanical neck disorders

2006· reference-entry· en· W4211250500 on OpenAlexaff
Bodhi G. Haraldsson, Anita Gross, Cynthia D. Myers, Jeanette Ezzo, Annie Morien, Charles H. Goldsmith, Paul M. Peloso, Gert Brønfort

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2006
Typereference-entry
Languageen
Field
Topic
Canadian institutionsMcMaster UniversitySimon Fraser UniversitySurrey Memorial Hospital
Fundersnot available
KeywordsMassageMedicineCINAHLPhysical therapyMEDLINENeck painMeta-analysisRandom assignmentRandomized controlled trialRelative riskIntervention (counseling)Clinical trialPhysical medicine and rehabilitationAlternative medicinePsychological interventionConfidence intervalSurgeryInternal medicineNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Mechanical neck disorders (MND) are common, disabling and costly. Massage is a commonly used modality for the treatment of neck pain. OBJECTIVES: To assess the effects of massage on pain, function, patient satisfaction and cost of care in adults with neck pain. To document adverse effects of treatment. SEARCH STRATEGY: Cochrane CENTRAL, MEDLINE, EMBASE, MANTIS, CINAHL, and ICL databases were electronically searched, without language restriction, from their inception to September 2004 SELECTION CRITERIA: Studies using random or quasi-random assignment were included. DATA COLLECTION AND ANALYSIS: Two reviewers independently conducted citation identification, study selection, data abstraction and methodological quality assessment. Using a random-effects model, we calculated the relative risk and standardized mean difference. MAIN RESULTS: Nineteen trials met the inclusion criteria. Overall, the methodological quality was low, with 12/19 assessed as low-quality studies. Trials could not be statistically pooled because of heterogeneity in treatment and control groups. Therefore, a levels-of-evidence approach was used to synthesize results. Assessment of the clinical applicability of the trials showed that the participant characteristics were well reported, but neither the descriptions of the massage intervention nor the credentials or experience of the massage professionals were well reported. Six trials examined massage as a stand-alone treatment. The results were inconsistent. Of the 14 trials that used massage as part of a multimodal intervention, none were designed such that the relative contribution of massage could be ascertained. Therefore, the role of massage in multimodal treatments remains unclear. AUTHORS' CONCLUSIONS: No recommendations for practice can be made at this time because the effectiveness of massage for neck pain remains uncertain. Pilot studies are needed to characterize massage treatment (frequency, duration, number of sessions, and massage technique) and establish the optimal treatment to be used in subsequent larger trials that examine the effect of massage as either a stand-alone treatment or part of a multimodal intervention. For multimodal interventions, factorial designs are needed to determine the relative contribution of massage. Future reports of trials should improve reporting of the concealment of allocation, blinding of outcome assessor, adverse events and massage characteristics. Standards of reporting for massage interventions, similar to CONSORT, are needed. Both short- and long-term follow-up are needed.

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)0.009
metaresearch head score (Gemma)0.010
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Meta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.165
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0090.010
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0120.002
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0020.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.006

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 head0.082
GPT teacher head0.349
Teacher spread0.267 · 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; both teacher heads agree on what is shown here.

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

Citations46
Published2006
Admission routes1
Has abstractyes

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