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Record W2150964537 · doi:10.1093/rheumatology/40.7.779

Herbal medicines for the treatment of osteoarthritis: a systematic review

2001· review· en· W2150964537 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueLara D. Veeken · 2001
Typereview
Languageen
FieldMedicine
TopicOsteoarthritis Treatment and Mechanisms
Canadian institutionsVictoria Park
Fundersnot available
KeywordsMedicineOsteoarthritisAlternative medicineTraditional medicineSystematic reviewClinical trialRandomized controlled trialMEDLINEPhysical therapyIntensive care medicineSurgeryInternal medicinePathology

Abstract

fetched live from OpenAlex

OBJECTIVE: Limitations in the conventional medical management of osteoarthritis indicate a real need for safe and effective treatment of osteoarthritis patients. Herbal medicines may provide a solution to this problem. The aim of this article was to review systematically all randomized controlled trials on the effectiveness of herbal medicines in the treatment of osteoarthritis. METHODS: Computerized literature searches were carried out on five electronic databases. Trial data were extracted in a standardized, predefined manner and assessed independently. RESULTS: Twelve trials and two systematic reviews fulfilled the inclusion criteria. The authors found promising evidence for the effective use of some herbal preparations in the treatment of osteoarthritis. In addition, evidence suggesting that some herbal preparations reduce consumption of non-steroidal anti-inflammatory drugs was found. The reviewed herbal medicines appear relatively safe. CONCLUSIONS: Some herbal medicines may offer a much-needed alternative for patients with osteoarthritis.

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.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.507
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0060.002
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.042
GPT teacher head0.331
Teacher spread0.288 · 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