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Herbal Medicine for Low Back Pain

2007· article· en· W4250377226 on OpenAlexaff
Joel Gagnier, Maurits W. van Tulder, Brian Berman, Claire Bombardier

Bibliographic record

VenueSpine · 2007
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPhytochemistry and Biological Activities
Canadian institutionsInstitute for Work & HealthUniversity of Toronto
Fundersnot available
KeywordsMedicineMEDLINELow back painRandomized controlled trialPlaceboAlternative medicineClinical trialPhysical therapyBack painPsychological interventionSystematic reviewTraditional medicineInternal medicinePathologyPsychiatry

Abstract

fetched live from OpenAlex

STUDY DESIGN: A systematic review of randomized controlled trials. OBJECTIVES: To determine the effectiveness of herbal medicine compared with placebo, no intervention, or "standard/accepted/conventional treatments" for nonspecific low back pain. SUMMARY OF BACKGROUND DATA: Low back pain is a common condition and a substantial economic burden in industrialized societies. A large proportion of patients with chronic low back pain use complementary and alternative medicine (CAM) and/or visit CAM practitioners. Several herbal medicines have been purported for use in low back pain. METHODS: The following databases were searched: Medline (1966 to April 2003), Embase (1980 to April 2003), Cochrane Controlled Trials Register (Issue 1, 2003), and Cochrane Complementary Medicine (CM) field Trials Register. Additionally, reference lists in review articles, guidelines, and in the retrieved trials were checked. Randomized controlled trials (RCTs), using adults (>18 years of age) suffering from acute, subacute, or chronic nonspecific low back pain. Types of interventions included herbal medicines defined as a plant that is used for medicinal purposes in any form. Primary outcome measures were pain and function. Two reviewers (J.J.G. and M.W.T.) conducted electronic searches in all databases. One reviewer (J.J.G.) contacted content experts and acquired relevant citations. Authors, title, subject headings, publication type, and abstract of the isolated studies were downloaded or a hard copy was retrieved. Methodologic quality and clinical relevance were assessed separately by two individuals (J.J.G. and M.W.T.). Disagreements were resolved by consensus. RESULTS: Ten trials were included in this review. Two high-quality trials utilizing Harpagophytum procumbens (Devil's claw) found strong evidence for short-term improvements in pain and rescue medication for daily doses standardized to 50 mg or 100 mg harpagoside with another high-quality trial demonstrating relative equivalence to 12.5 mg per day of rofecoxib. Two moderate-quality trials utilizing Salix alba (White willow bark) found moderate evidence for short-term improvements in pain and rescue medication for daily doses standardized to 120 mg or 240 mg salicin with an additional trial demonstrating relative equivalence to 12.5 mg per day of rofecoxib. Three low-quality trials using Capsicum frutescens (Cayenne) using various topical preparations found moderate evidence for favorable results against placebo and one trial found equivalence to a homeopathic ointment. CONCLUSIONS: Harpagophytum procumbens, Salix alba, and Capsicum frutescens seem to reduce pain more than placebo. Additional trials testing these herbal medicines against standard treatments will clarify their equivalence in terms of efficacy. The quality of reporting in these trials was generally poor; thus, trialists should refer to the CONSORT statement in reporting clinical trials of herbal medicines.

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)0.032
metaresearch head score (Gemma)0.075
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.032
Threshold uncertainty score0.171

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0320.075
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0150.010
Bibliometrics0.0090.007
Science and technology studies0.0010.002
Scholarly communication0.0040.003
Open science0.0030.002
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0120.001

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 head0.026
GPT teacher head0.248
Teacher spread0.222 · 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 designObservational
Domainnot available
GenreEmpirical

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

Citations98
Published2007
Admission routes1
Has abstractyes

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