Use of COX-2 inhibitors and risk of glioma

Date of Approval
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Technical Summary

We propose to conduct a 1:10 matched case-control analysis using the CPRD to test the hypothesis that use of COX-2 inhibitors is associated with decreased risk of glioma. We will conduct conditional logistic regression analyses to determine relative risks, estimated as odds ratios (ORs) with 95% confidence intervals (CIs) of glioma in relation to use of COX-2 inhibitors. Analyses will be adjusted for various potential confounding variables and only variables altering the risk of glioma by >10% will be included in the final multivariate analysis. The effects of exposure to COX-2 inhibitors will be compared to the effects of other non-selective NSAIDs (diclofenac, ibuprofen, naproxen, and aspirin) and non-NSAID analgesics (paracetamol, opioids). We will shift the date of diagnosis backward in time by one year for cases and controls. Missing data will be included in a separate category in the logistic regression model.


Christoph Meier - Chief Investigator - University of Basel
Claudia Becker - Collaborator - University of Basel
Corinna Seliger - Collaborator - University of Regensburg
Michael Leitzmann - Collaborator - University of Regensburg
Peter Hau - Collaborator - University of Regensburg
Susan Jick - Collaborator - BCDSP - Boston Collaborative Drug Surveillance Program
Ulrich Bogdahn - Collaborator - University of Regensburg