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Massage for Low-back Pain: A Systematic Review within the Framework of the Cochrane Collaboration Back Review Group

2002· review· en· W2170491444 on OpenAlexaff
Andrea D Furlan, Lucie Brosseau, Marta Imamura, Emma Irvin

Bibliographic record

VenueSpine · 2002
Typereview
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsUniversity Health NetworkUniversity of OttawaToronto Western HospitalInstitute for Work & HealthUniversity of Toronto
Fundersnot available
KeywordsMassageMedicineCINAHLPhysical therapyMEDLINERandomized controlled trialLow back painSystematic reviewPopulationBack painPhysical medicine and rehabilitationAlternative medicineSurgeryPsychological interventionNursingPathology

Abstract

fetched live from OpenAlex

BACKGROUND: Low back pain (LBP) is one of the most common and costly musculoskeletal problems in modern society. Proponents of massage therapy claim it can minimize pain and disability and speed return-to-normal function. OBJECTIVES: To assess the effects of massage therapy for nonspecific LBP. SEARCH STRATEGY: We searched MEDLINE, Embase, Cochrane Controlled Trials Register, HealthSTAR, CINAHL, and dissertation abstracts through May 2001 with no language restrictions. References in the included studies and in reviews of the literature were screened. Contact with content experts and massage associations was also made. SELECTION CRITERIA: The studies had to be randomized or quasirandomized trials investigating the use of any type of massage (using the hands or a mechanical device) as a treatment for nonspecific LBP. DATA COLLECTION AND ANALYSIS: Two reviewers blinded to authors, journals, and institutions selected the studies, assessed the methodologic quality using the criteria recommended by the Cochrane Collaboration Back Review Group, and extracted the data using standardized forms. The studies were analyzed in a qualitative way because of heterogeneity of population, massage technique, comparison groups, timing, and type of outcome measured. RESULTS: Nine publications reporting on eight randomized trials were included. Three had low and five had high methodologic quality scores. One study was published in German, and the rest, in English. Massage was compared with an inert treatment (sham laser) in one study that showed that massage was superior, especially if given in combination with exercises and education. In the other seven studies, massage was compared with different active treatments. They showed that massage was inferior to manipulation and transcutaneous electrical nerve stimulation; massage was equal to corsets and exercises; and massage was superior to relaxation therapy, acupuncture, and self-care education. The beneficial effects of massage in patients with chronic LBP lasted at least 1 year after the end of the treatment. One study comparing two different techniques of massage concluded in favor of acupuncture massage over classic (Swedish) massage. CONCLUSIONS: Massage might be beneficial for patients with subacute and chronic nonspecific LBP, especially when combined with exercises and education. The evidence suggests that acupuncture massage is more effective than classic massage, but this needs confirmation. More studies are needed to confirm these conclusions, to assess the effect of massage on return-to-work, and to measure longer term effects to determine cost-effectiveness of massage as an intervention for LBP.

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)0.026
metaresearch head score (Gemma)0.087
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: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.026
Threshold uncertainty score0.140

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0260.087
Meta-epidemiology (narrow)0.0040.002
Meta-epidemiology (broad)0.0210.010
Bibliometrics0.0250.018
Science and technology studies0.0010.002
Scholarly communication0.0050.007
Open science0.0040.003
Research integrity0.0050.003
Insufficient payload (model declined to judge)0.0080.001

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 head0.062
GPT teacher head0.387
Teacher spread0.325 · 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

Citations279
Published2002
Admission routes1
Has abstractyes

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