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Record W2045427167 · doi:10.1136/ebn.5.2.57

Review: some herbal medicines and plant extracts reduced pain and disability and improved function in osteoarthritis

2002· letter· en· W2045427167 on OpenAlexaff
Violeta Ribeiro

Bibliographic record

VenueEvidence-Based Nursing · 2002
Typeletter
Languageen
FieldMedicine
TopicComplementary and Alternative Medicine Studies
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsMedicineWeb of scienceOsteoarthritisCochrane LibraryPlaceboInternal medicineTraditional medicineMeta-analysisAlternative medicinePathology

Abstract

fetched live from OpenAlex

Long L, Soeken K, Ernst E. Herbal medicines for the treatment of osteoarthritis: a systematic review. Rheumatology2001 Jul; 40 : 779 –93 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In patients with osteoarthritis, are herbal medicines and plant extracts effective and safe? Studies were identified by searching Medline, EMBASE/Excerpta Medica, Biosis, CINAHL, and the Cochrane Library (all from inception to May 2000); scanning the bibliographies of relevant studies and reviews; and by contacting experts and manufacturers in the field. Studies were selected if they were randomised controlled trials comparing 1 herbal treatment with a placebo or another active drug in patients with osteoarthritis. Studies focusing on back pain, osteoarthritic conditions of the spine, or on parenterally applied herbal preparations were excluded, as were studies that lacked essential methodological detail such as dosage, baseline data, and clinical end points. Data were extracted on patient characteristics, intervention type and duration, and outcomes. 12 trials and 2 systematic reviews met the selection criteria. … [1]: {openurl}?query=rft.jtitle%253DRheumatology%26rft.stitle%253DRheumatology%2B%2528Oxford%2529%26rft.aulast%253DLong%26rft.auinit1%253DL.%26rft.volume%253D40%26rft.issue%253D7%26rft.spage%253D779%26rft.epage%253D793%26rft.atitle%253DHerbal%2Bmedicines%2Bfor%2Bthe%2Btreatment%2Bof%2Bosteoarthritis%253A%2Ba%2Bsystematic%2Breview%26rft_id%253Dinfo%253Adoi%252F10.1093%252Frheumatology%252F40.7.779%26rft_id%253Dinfo%253Apmid%252F11477283%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1093/rheumatology/40.7.779&link_type=DOI [3]: /lookup/external-ref?access_num=11477283&link_type=MED&atom=%2Febnurs%2F5%2F2%2F57.atom [4]: /lookup/external-ref?access_num=000170448000009&link_type=ISI

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 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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.699
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.055
GPT teacher head0.318
Teacher spread0.263 · 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 teacher head, not a consensus.

Study designOther design
Domainnot available
GenreCommentary

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

Citations1
Published2002
Admission routes1
Has abstractyes

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