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Record W2022065431 · doi:10.1136/ebn.12.1.25

General practitioners’ advice to use topical rather than oral ibuprofen resulted in equivalent effects on chronic knee painCommentary

2008· letter· en· W2022065431 on OpenAlexaboutno aff
Gene Harkless

Bibliographic record

VenueEvidence-Based Nursing · 2008
Typeletter
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineOsteoarthritisBlindingIbuprofenWOMACKnee painPhysical therapyAdverse effectRandomized controlled trialAlternative medicineInternal medicine

Abstract

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M Underwood Professor M Underwood, University of Warwick, Coventry, UK; M.Underwood@warwick.ac.uk For older patients with chronic knee pain, should general practitioners advise use of topical or oral non-steroidal anti-inflammatory drugs (NSAIDs)? ### Design: randomised controlled trial (Topical or Oral Ibuprofen [TOIB]). ### Allocation: concealed. ### Blinding: blinded (data collectors). ### Follow-up period: 12 months. ### Setting: 26 general practices in the UK. ### Patients: 282 patients ⩾50 years of age (mean age 63 y, 54% women) with knee pain (97% with osteoarthritis). Exclusion criteria included history of, or awaiting, knee replacement, and recent knee injury. ### Intervention: the patient’s general practitioner recommended preferential use of topical ibuprofen (n = 138) or oral ibuprofen (n = 144). ### Outcomes: Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, adverse effects, and cost-effectiveness. The study had >80% power to show equivalence in WOMAC scores to within 10 mm (α = 0.05). ### Patient follow-up: 88% (intention-to-treat …

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), Research integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.345
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.048
GPT teacher head0.328
Teacher spread0.280 · 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 designNot applicable
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
Published2008
Admission routes1
Has abstractyes

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