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Rofecoxib Does Not Appear to Increase the Risk of Venous Thromboembolism: A Systematic Review of the Literature,

2011· review· en· W2552118461 on OpenAlexaff
Jennifer Goy, Jeremy S. Paikin, Mark Crowther

Bibliographic record

VenueBlood · 2011
Typereview
Languageen
FieldMedicine
TopicInflammatory mediators and NSAID effects
Canadian institutionsSt. Joseph’s Healthcare HamiltonSt. Joseph's HospitalMcMaster University
Fundersnot available
KeywordsRofecoxibMedicinePlaceboBlindingRandomizationConfidence intervalInternal medicineRelative riskClinical trialSurgeryAlternative medicine

Abstract

fetched live from OpenAlex

Abstract Abstract 3334 Rofecoxib, a selective cyclo-oxygenase-2 (COX-2) inhibitor, has been associated with increased arterial thrombosis. It is unknown whether it is associated with venous thromboembolism (VTE). We investigated, using a systematic review of the literature, the association between rofecoxib and venous thrombosis. A search strategy was developed with the assistance of a research librarian and was implemented in 2 electronic databases. We identified all English language studies in which rofecoxib was compared with placebo, irrespective of the primary outcome of the study. Only placebo controlled trials were included in the review as NSAIDs (the comparator in many rofecoxib studies) may have anti-thrombotic effects. We also limited studies to those with 3 or months of follow-up since we presume that the effects of rofecoxib on the coagulation system would take time to develop. Two reviewers assessed study eligibility, with disagreements resolved by consensus. Data was extracted from each of study in a standardized manner using RefMan software. Quality of the studies was assessed according to pre-established criteria: (1) randomization process (2) blinding, and (3) documentation of losses to follow up. Pooled incidence rates were calculated from the reported number of VTEs and total person years at risk. Confidence intervals and risk difference were calculated using a Poisson distribution. The search strategy identified 1339 papers. After review, a total of 15 studies in 14 populations met inclusion criteria. The majority of trials were short in duration (∼12 weeks). All studies met at least two of the three quality criteria. In 15160 (9217 person years follow up) patients allocated to rofecoxib there were 8 VTEs reported, compared with 9 VTEs in 13147 (9092 person years) patients allocated to placebo (relative risk 0.87, 95% CI 0.29–2.56, p = NS). The estimated incidence of VTE was 86.8 per 100,000 (95% CI 37.5 –171.2) person years with rofecoxib, and 99.1 per 100,000 person years with placebo (95%CI 45.3 – 188). This difference is statistically insignificant (p=0.78). Our findings are limited by the relatively small number of events, although the contributing sample size 28307 subjects (18309 person years) is reasonable. We are also unsure that all venous events were captured, although the fact that many of the contributing studies were performed in support of regulatory filings of rofecoxib suggests that events were unlikely to be missed. All included trials had processes for adjudication of VTE. Keeping these limitations in mind, our findings do suggest that there is no increase in the risk of VTE with rofecoxib use. Disclosures: Crowther: Various: Consultancy.

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)0.013
metaresearch head score (Gemma)0.053
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: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.013
Threshold uncertainty score0.071

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.053
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0100.007
Bibliometrics0.0110.012
Science and technology studies0.0010.001
Scholarly communication0.0030.003
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0060.001

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 head0.013
GPT teacher head0.269
Teacher spread0.256 · 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

Citations0
Published2011
Admission routes1
Has abstractyes

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