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Record W2412544422 · doi:10.1080/030097402320817059

Comparison of low-dose rofecoxib versus 1000 mg naproxen in patients with osteoarthritis

2002· article· en· W2412544422 on OpenAlexaboutno aff
R Myllykangas-Luosujärvi, Hui Lu, S. L. Chen, David Choon, Clemente M. Amante, Cheryl‐Emiliane T. Chow, G Pasero, G Genti, Brian Sarembock, Cristiano A. F. Zerbini, France Vrijens, Amy Singletary Moan, Diana Bozalis Rodgers, L. De Tora, Martino Laurenzi

Bibliographic record

VenueScandinavian Journal of Rheumatology · 2002
Typearticle
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsnot available
Fundersnot available
KeywordsRofecoxibMedicineNaproxenOsteoarthritisClinical endpointInternal medicineAnesthesiaClinical trialAlternative medicineCyclooxygenase

Abstract

fetched live from OpenAlex

OBJECTIVE: To compare the efficacy and safety of rofecoxib 12.5 mg once daily to naproxen 500 mg twice daily in patients > or = 40 years of age with knee or hip osteoarthritis (OA). METHOD: Two identical 6-week, randomized, double-blind studies were conducted (1 in Africa, Australia, Europe, Canada, Mexico, & South America; 1 in Asia). Primary endpoints were pain walking on a flat surface, patient global assessment of response to therapy, and investigator global assessment of disease status. RESULTS: Overall, 944 patients participated. For all efficacy endpoints, treatment effects for rofecoxib and naproxen were comparable and seen at the first measures of efficacy. Both compounds were generally well-tolerated, with an improved gastrointestinal safety profile for rofecoxib versus naproxen. CONCLUSIONS In these studies, rofecoxib 12.5 mg once daily (the lowest indicated dose) and naproxen 500 mg twice daily showed similar treatment effects in OA patients. Rofecoxib and naproxen were generally well tolerated.

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)0.001
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.263
Teacher spread0.251 · 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 designRandomized trial
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

Citations24
Published2002
Admission routes1
Has abstractyes

Explore more

Same venueScandinavian Journal of RheumatologySame topicInflammatory mediators and NSAID effectsFrench-language works237,207