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Record W1582882063 · doi:10.1002/14651858.cd003831

Celecoxib for rheumatoid arthritis

2002· review· en· W1582882063 on OpenAlexaff
Sarah Garner, Dogan Fidan, Ruth R Frankish, Maria Judd, Beverley Shea, Tanveer Towheed, Peter Tugwell, George A. Wells

Post-publication record

NatureRetraction
ReasonRetract and Replace;
Date6/9/2017 0:00
Flagged by OpenAlex?Yes

Source: Retraction Watch, joined by DOI. OpenAlex records retraction as is_retracted, a boolean over a state space with at least four values, so it cannot express an expression of concern, a correction or a reinstatement; it reports them as false, which reads as “fine”.

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2002
Typereview
Languageen
Field
Topic
Canadian institutionsQueen's UniversityUniversity of OttawaCanadian Foundation for Healthcare Improvement
Fundersnot available
KeywordsMedicineCelecoxibRheumatoid arthritisChecklistPlaceboInternal medicineDiclofenacMEDLINERelative riskMeta-analysisIbuprofenAdverse effectSystematic reviewClinical trialConfidence intervalAlternative medicinePharmacology

Abstract

fetched live from OpenAlex

BACKGROUND: Rheumatoid arthritis (RA) is a systemic auto-immune disorder, involving persistent joint inflammation. NSAIDs are used to control the symptoms of RA, but are associated with significant gastro-intestinal toxicity, including a risk of potentially life threatening gastroduodenal perforations, ulcers and bleeds. The NSAIDs known as the selective Cox II inhibitors, of which celecoxib is a member, were developed in order to reduce the GI toxicity, but are more expensive. OBJECTIVES: To establish the efficacy and safety of celecoxib in the management of RA by systematic review of available evidence. SEARCH STRATEGY: We searched the following databases up to August 2002: MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Controlled Trials Register, National Research Register, NHS Economic Evaluation Database, Health Technology Assessment Database. The bibliographies of retrieved papers and content experts were consulted for additional references. SELECTION CRITERIA: All eligible randomised controlled trials (RCTs) were included. No unpublished RCTs were included in this edition of the review. DATA COLLECTION AND ANALYSIS: Data were abstracted independently by two reviewers. Data was analysed using a fixed effects model. A validated checklist was used to score the quality of the RCTs. The planned analysis was to pool, where appropriate continuous outcomes using mean differences and dichotomous outcomes using relative risk ratios. This was not however possible due to the lack of data. MAIN RESULTS: Five RCTs were included (4465 participants); three of the studies also enrolled individuals with OA. The comparators were placebo, naproxen, diclofenac and ibuprofen. The evidence reviewed suggests that celecoxib controls the symptoms of RA to a similar degree to that of the active comparators examined (naproxen, diclofenac and ibuprofen). When compared to placebo, the percentage of patients showing improvement according to ACR 20 criteria at week 4 were 42/82 (51%) in the twice daily celecoxib 200mg group and 43/82 (52%) in the twice daily celecoxib 400mg group; these were significantly different from the placebo group in which 25/85 (29%) improved. The six month data reviewed support a reduced rate of UGI complications with celecoxib but there is also evidence to suggest that these benefits may not be evident in the long-term and that celecoxib offers no additional benefit in patients who are also receiving cardio-prophylactic low dose aspirin. REVIEWER'S CONCLUSIONS: For an individual with RA the potential benefits of celecoxib need to be balanced against the uncertainty that the short-term reduced incidence of upper GI complications are maintained in the long-term and its increased cost in comparison to traditional NSAIDs.

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)0.002
metaresearch head score (Gemma)0.007
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.019
Threshold uncertainty score0.064

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0190.004

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 head0.160
GPT teacher head0.383
Teacher spread0.223 · 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 designSystematic review
Domainnot available
GenreReview

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

Citations64
Published2002
Admission routes1
Has abstractyes

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