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Exercises for mechanical neck disorders

2012· review· en· W4211013151 on OpenAlexaff
Theresa Kay, Anita Gross, Charles H. Goldsmith, Sherrill Rutherford, Sandra Voth, Jan L. Hoving, Gert Brønfort, Pasqualina Santaguida

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2012
Typereview
Languageen
Field
Topic
Canadian institutionsSimon Fraser UniversityVancouver Island UniversityMcMaster UniversityWomen's College Hospital
Fundersnot available
KeywordsMedicineCervicogenic headacheNeck painPhysical therapyConfidence intervalMeta-analysisRandomized controlled trialQuality of life (healthcare)Relative riskPhysical medicine and rehabilitationInternal medicineSurgeryCervical spineAlternative medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Neck disorders are common, disabling and costly. The effectiveness of exercise as a physiotherapy intervention remains unclear. OBJECTIVES: To improve pain, disability, function, patient satisfaction, quality of life and global perceived effect in adults with neck pain. SEARCH METHODS: Computerized searches were conducted up to February 2012. SELECTION CRITERIA: We included single therapeutic exercise randomized controlled trials for adults with neck pain with or without cervicogenic headache or radiculopathy. DATA COLLECTION AND ANALYSIS: Two review authors independently conducted selection, data extraction, 'Risk of bias' assessment, and clinical relevance. The quality of the body of evidence was assessed using GRADE. Relative risk and standardized mean differences (SMD) were calculated. After judging clinical and statistical heterogeneity, we performed meta-analyses. MAIN RESULTS: Six of the 21 selected trials had low risk of bias. Moderate quality evidence shows that combined cervical, scapulothoracic stretching and strengthening are beneficial for pain relief post treatment (pooled SMD -0.35, 95% confidence interval (CI): -0.60, -0.10) and at intermediate follow-up (pooled SMD -0.31, 95% CI: -0.57, -0.06), and improved function short term and intermediate term (pooled SMD -0.45, 95% CI: -0.72, -0.18) for chronic neck pain. Moderate quality evidence demonstrates patients are very satisfied with their care when treated with therapeutic exercise. Low quality evidence shows exercise is of benefit for pain in the short term and for function up to long-term follow-up for chronic neck pain. Low to moderate quality evidence shows that chronic neck pain does not respond to upper extremity stretching and strengthening or a general exercise program.Low to moderate quality evidence supports self-mobilization, craniocervical endurance and low load cervical-scapular endurance exercises in reducing pain, improving function and global perceived effect in the long term for subacute/chronic cervicogenic headache. Low quality evidence supports neck strengthening exercise in acute cervical radiculopathy for pain relief in the short term. AUTHORS' CONCLUSIONS: Low to moderate quality evidence supports the use of specific cervical and scapular stretching and strengthening exercise for chronic neck pain immediately post treatment and intermediate term, and cervicogenic headaches in the long term. Low to moderate evidence suggests no benefit for some upper extremity stretching and strengthening exercises or a general exercise program. Future trials should consider using an exercise classification system to establish similarity between protocols and adequate sample sizes. Factorial trials would help determine the active treatment agent within a treatment regimen where a standardized representation of dosage is essential. Standardized reporting of adverse events is needed for balancing the likelihood of treatment benefits over potential harms.

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)0.010
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 score0.024
Threshold uncertainty score0.079

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.010
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0040.002
Science and technology studies0.0000.001
Scholarly communication0.0020.001
Open science0.0010.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0240.002

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 head0.198
GPT teacher head0.414
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

Citations123
Published2012
Admission routes1
Has abstractyes

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