Celecoxib was similar to naproxen for rheumatoid arthritis with fewer endoscopic ulcers
Bibliographic record
Abstract
(1999) JAMA 282, 1921. Simon LS, Weaver AL, Graham DY, et al. . Anti-inflammatory and upper gastrointestinal effects of celecoxib in rheumatoid arthritis. A randomized controlled trial. . Nov 24; . : . –8 . [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: In patients with rheumatoid arthritis (RA), is celecoxib as efficacious (in anti-inflammatory and analgesic effects) and safe (in avoiding endoscopic upper gastrointestinal [GI] ulcers) as naproxen? Randomised (allocation concealed*), blinded (patients, clinicians, and outcome assessors),* placebo controlled, 12 week trial. 79 US and Canadian clinical sites. 1149 patients (mean age 54 y, 73% women) who had RA (American College of Rheumatology criteria) for >3 months. Inclusion criteria were age ≥18 years and receipt of stable medications; oral steroids and disease modifying antirheumatic drugs were allowed. Exclusion criteria were active GI tract, renal, hepatic, or coagulation disorders; history of cancer or gastric or duodenal surgery; or recent or current oesophageal or gastroduodenal ulcers or ≥10 erosions. 60% of patients completed the study; follow up was >99%. Symptomatic RA was confirmed after non-steroidal anti-inflammatory drugs (NSAIDs) and analgesics were stopped for 2 to 7 days. Patients were then allocated to celecoxib, 100 mg twice/d (n=240), 200 mg twice/day (n=235), or 400 mg twice/day (n=218); naproxen, 500 mg twice/day (n=225); or placebo (n=231). NSAIDs, injectable corticosteroids, … [1]: {openurl}?query=rft.jtitle%253DJAMA%26rft.stitle%253DJAMA%26rft.issn%253D0002-9955%26rft.aulast%253DSimon%26rft.auinit1%253DL.%2BS.%26rft.volume%253D282%26rft.issue%253D20%26rft.spage%253D1921%26rft.epage%253D1928%26rft.atitle%253DAnti-inflammatory%2Band%2BUpper%2BGastrointestinal%2BEffects%2Bof%2BCelecoxib%2Bin%2BRheumatoid%2BArthritis%253A%2BA%2BRandomized%2BControlled%2BTrial%26rft_id%253Dinfo%253Adoi%252F10.1001%252Fjama.282.20.1921%26rft_id%253Dinfo%253Apmid%252F10580457%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=10.1001/jama.282.20.1921&link_type=DOI [3]: /lookup/external-ref?access_num=10580457&link_type=MED&atom=%2Febmed%2F5%2F3%2F75.atom [4]: /lookup/external-ref?access_num=000083763400026&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
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | medium |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Randomized trial | high |
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.036 | 0.002 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedLabeled directly by 2 models reading the full record.
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".