Literature DB >> 11746337

Evaluating the safety of medicines, with particular reference to contraception.

D C Skegg1.   

Abstract

Toxicological studies and clinical trials cannot be expected to predict all important adverse effects of medicines and contraceptives. Post-marketing surveillance is essentially an epidemiological task that involves detecting associations between drugs and events. The first alerts about drug safety problems have often come from case reports, but epidemiological studies are needed to confirm adverse (or beneficial) effects and to provide quantitative information. This article illustrates methodological principles by considering three examples from the field of contraceptive safety: oral contraceptives and breast cancer, intrauterine contraception and pelvic inflammatory disease, and newer oral contraceptives and venous thromboembolism. Key issues that emerge include bias and confounding, the place of subgroup analyses, random error, and the use of computerized databases. In research on contraceptive and drug safety, conclusions usually need to be based on careful assessment of multiple observational studies. Copyright 2001 John Wiley & Sons, Ltd.

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Year:  2001        PMID: 11746337     DOI: 10.1002/sim.1077

Source DB:  PubMed          Journal:  Stat Med        ISSN: 0277-6715            Impact factor:   2.373


  4 in total

1.  External adjustment of unmeasured confounders in a case-control study of benzodiazepine use and cancer risk.

Authors:  Lau Caspar Thygesen; Anton Pottegård; Annette Kjaer Ersbøll; Søren Friis; Til Stürmer; Jesper Hallas
Journal:  Br J Clin Pharmacol       Date:  2017-07-12       Impact factor: 4.335

2.  Changes in medication use from age 26 to 32 in a representative birth cohort.

Authors:  W M Thomson; R Poulton; R J Hancox; K M Ryan; S Al-Kubaisy
Journal:  Intern Med J       Date:  2007-04-16       Impact factor: 2.048

Review 3.  Meta-analyses of adverse effects data derived from randomised controlled trials as compared to observational studies: methodological overview.

Authors:  Su Golder; Yoon K Loke; Martin Bland
Journal:  PLoS Med       Date:  2011-05-03       Impact factor: 11.069

Review 4.  Comparison of pooled risk estimates for adverse effects from different observational study designs: methodological overview.

Authors:  Su Golder; Yoon K Loke; Martin Bland
Journal:  PLoS One       Date:  2013-08-20       Impact factor: 3.240

  4 in total

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