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Screening for carcinogenic or chemopreventive effects of prescription drugs Anton Pottegård, MScPharm PhD University of Southern Denmark.

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Presentation on theme: "Screening for carcinogenic or chemopreventive effects of prescription drugs Anton Pottegård, MScPharm PhD University of Southern Denmark."— Presentation transcript:

1 Screening for carcinogenic or chemopreventive effects of prescription drugs Anton Pottegård, MScPharm PhD University of Southern Denmark

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3 VKA – All cancers Benzodiazepiner – All cancers Azathioprine – All cancers [Myasthenia] Disulfiram – MM/Breast/Prostate [Alcoholics] Azathioprine – NMSC [Myasthenia] Myasthenia – All cancers Metformin – Colon cancer [Diabetics] Statins – NMSC Lithium – Upper urinary tract cancer Statins – Renal cancer Lithium – Colorectal cancer PDEIs – Malignant melanoma TCA – Glioma

4 RACED Rapid Assessment of Carcinogenic Effects of Drugs

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9 RACED vol. 1 Table of contents: Valproic acid (sub. prostate) Allopurinol Antidepressants Antipsychotics (sub. prostate) Ibuprofen (sub. colon) Thiazides Ace-inhibitors ATII-antagonists Calcium-channel-blockers (grp2) Clopidogrel

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13 Dicloxacillin Pottegård et al. JAMA 2015 Jul 21;314(3):296-7. Proton Pump Inhibitors Henriksen et al. Pharmacoepidemiol Drug Saf. 2015 Sep 23. Antidiabetics Stage et al. J Thromb Haemost (Accepted)

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15 RACED2 Anton Pottegård Søren Friis René dePont Christensen Laurel A. Habel Joshua J. Gagne Jesper Hallas

16 Design Multiple case-control study

17 Outcome All cancer Single cancer sites Single cancer types Based on ICD-O topography and morphology codes: 99 cancers and subtypes.

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19 Exposures Only drug classes Only single substances Both! For each cancer, we included all drugs that had 10 observed long-term users (defined as ≥8 prescriptions) among the cases

20 Analysis Matching by gender and age … thereby adjusting for gender, age and calendar time Adjusting for Charlson-score and education … as crude confounder adjustment

21 Material 278,485 incident cancer cases 22,125 drug-cancer pairs

22 Screening: Step 1 ORs estimated comparing long-term use (≥8 fills) to non-use. Signals were defined as: OR 1.5, or 95%CI >1.2 or <0.83

23 Intermediary results 4,561 signals

24 Screening: Step 2 Outcome specificity The ratio of OR signal to OR overall outside 0.83-1.20. Dose-response pattern A significant slope on the dose-response curve (p<0.10).

25 Results 77.4% failed to meet dose-response criteria, 1.7% failed test for specificity, 1.4% failed both; thus leaving 1,020 signals. 159 at the second level of the ATC-system, 351 at the fourth level of the ATC-system, and 510 for single agents. 703 signals indicated an increased cancer risk, 317 indicated a chemopreventive effect.

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29 All done? What about issues of multiple testing? What about legal issues?

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32 Male pharmacoepidemiologist seeks enthusiastic partner who owns his/her own degree and grows his/her own hypotheses. Access to cancer-data is a plus, as is being open-minded!

33 Anton Pottegård apottegaard@health.sdu.dk www.antonpottegaard.dk 33


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