Evidence map›Paper›PMID 41802873›Full record

ArticlePharmacoepidemiology and drug safety2026

Early Identification of Cardiovascular Adverse Events Associated With Rofecoxib Using Real-World Data From the UK: A Nested Case-Control and Case-Crossover Study.

Donya Moslemzadeh, Patrick C Souverein, Svetlana V Belitser, Eibert R Heerdink, Olaf H Klungel, Shahab Abtahi

Abstract read
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Article in Pharmacoepidemiology and drug safety, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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1 · What the graph read from it

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3 · Its place in the literature

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1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Donya MoslemzadehDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Patrick C SouvereinDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Svetlana V BelitserDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Eibert R HeerdinkDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Olaf H KlungelDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.
Shahab AbtahiDivision of Pharmacoepidemiology and Clinical Pharmacology, Utrecht Institute for Pharmaceutical Sciences, Utrecht University, Utrecht, the Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTraditional pharmacovigilance systems have limitations in detecting common adverse drug reactions. We investigated whether real-world data (RWD) could have detected rofecoxib's cardiovascular adverse effects earlier using nested case-control (NCC) and case-crossover (CCO) designs.

methodsWe included adult rofecoxib users from the UK CPRD GOLD (1999-2004). In NCC design, cases of a first major adverse cardiovascular event (MACE) were matched with four controls on age, sex, practice and calendar time. Rofecoxib exposure was categorised as current (≤ 3 months), recent (3-6), or past use (> 6) in NCC, and assessed at the start of each 3-month interval in CCO design. Exposure odds in CCO were compared between a 3-month risk with four reference windows. Conditional logistic regression models estimated adjusted intensity ratio (aIR). To identify the shortest time necessary to detect the association, analyses were conducted in 1-, 2-, 3-, 4- and 5-years after the drug's market uptake.

resultsThree thousand two hundred and eighteen cases were matched to 10 745 controls (mean age 73.8 years, 66% female). In NCC, current rofecoxib use (42% of cases) was associated with an 18% higher risk of MACE (aIR 1.18, 95% CI 1.08-1.29) versus past use. The CCO (3210 risk and 12 737 reference windows) showed an 83% increased risk of MACE (aIR 1.83, 95% CI 1.53-2.18). First signal emerged after 2 years with CCO (aIR 3.94, 95% CI 1.88-8.25), and after 3 years with NCC design (aIR 1.46, 95% CI 1.18-1.81).

conclusionUsing RWD, cardiovascular adverse effects of rofecoxib could have been detected within 2 years of the market entry in the UK, well before traditional pharmacovigilance methods. This supports incorporating RWD analysis into routine drug safety monitoring.

Indexed as

Adverse Drug Reaction Reporting SystemsCardiovascular DiseasesCyclooxygenase 2 InhibitorsLactonesPharmacovigilanceSulfonesAgedCase-Control StudiesCross-Over StudiesFemaleHumansMaleMiddle AgedTime FactorsUnited KingdomCyclooxygenase 2 InhibitorsLactonesrofecoxibSulfonescase‐crossover designmajor adverse cardiovascular eventnested case–control designreal‐world datarofecoxib

Identifiers

PMID41802873
PMCPMC12971294

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.