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Record W2086475279 · doi:10.1097/brs.0b013e3181644b1d

Treatment of Neck Pain: Noninvasive Interventions

2008· review· en· W2086475279 on OpenAlexaff
Eric L. Hurwitz, Eugene J. Carragee, Gabrielle van der Velde, Linda Carroll, Margareta Nordin, Jaime Guzmán, Paul M. Peloso, Lena W. Holm, Pierre Côté, Sheilah Hogg-Johnson, J. David Cassidy, Scott Haldeman

Bibliographic record

VenueSpine · 2008
Typereview
Languageen
FieldMedicine
TopicMusculoskeletal pain and rehabilitation
Canadian institutionsUniversity of British ColumbiaUniversity of TorontoUniversity Health NetworkToronto Western HospitalInstitute for Work & HealthUniversity of Alberta
Fundersnot available
KeywordsMedicinePsychological interventionWhiplashNeck painPhysical therapyMEDLINEAcupunctureEvidence-based medicineManual therapySystematic reviewModalitiesEvidence-based practiceIntensive care medicinePhysical medicine and rehabilitationAlternative medicinePoison controlPsychiatryPathology

Abstract

fetched live from OpenAlex

STUDY DESIGN: Best evidence synthesis. OBJECTIVE: To identify, critically appraise, and synthesize literature from 1980 through 2006 on noninvasive interventions for neck pain and its associated disorders. SUMMARY OF BACKGROUND DATA: No comprehensive systematic literature reviews have been published on interventions for neck pain and its associated disorders in the past decade. METHODS: We systematically searched Medline and screened for relevance literature published from 1980 through 2006 on the use, effectiveness, and safety of noninvasive interventions for neck pain and associated disorders. Consensus decisions were made about the scientific merit of each article; those judged to have adequate internal validity were included in our best evidence synthesis. RESULTS: Of the 359 invasive and noninvasive intervention articles deemed relevant, 170 (47%) were accepted as scientifically admissible, and 139 of these related to noninvasive interventions (including health care utilization, costs, and safety). For whiplash-associated disorders, there is evidence that educational videos, mobilization, and exercises appear more beneficial than usual care or physical modalities. For other neck pain, the evidence suggests that manual and supervised exercise interventions, low-level laser therapy, and perhaps acupuncture are more effective than no treatment, sham, or alternative interventions; however, none of the active treatments was clearly superior to any other in either the short- or long-term. For both whiplash-associated disorders and other neck pain without radicular symptoms, interventions that focused on regaining function as soon as possible are relatively more effective than interventions that do not have such a focus. CONCLUSION: Our best evidence synthesis suggests that therapies involving manual therapy and exercise are more effective than alternative strategies for patients with neck pain; this was also true of therapies which include educational interventions addressing self-efficacy. Future efforts should focus on the study of noninvasive interventions for patients with radicular symptoms and on the design and evaluation of neck pain prevention strategies.

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)0.033
metaresearch head score (Gemma)0.108
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.033
Threshold uncertainty score0.172

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0330.108
Meta-epidemiology (narrow)0.0030.002
Meta-epidemiology (broad)0.0110.010
Bibliometrics0.0100.008
Science and technology studies0.0010.002
Scholarly communication0.0070.004
Open science0.0030.003
Research integrity0.0070.003
Insufficient payload (model declined to judge)0.0150.002

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 head0.065
GPT teacher head0.384
Teacher spread0.319 · 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 designNot applicable
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

Citations433
Published2008
Admission routes1
Has abstractyes

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