Literature DB >> 26440748

Symmetry analysis for monitoring safety of newly marketed drugs.

Kiyoshi Kubota1.   

Abstract

INTRODUCTION: A postmarketing study without a comparator group has been recognized as a problem as it provides no measure of association. Nevertheless, the design is sometimes used in company postmarketing studies particularly when the study involves the primary data collection. In this report, the "Symmetry Analysis Cohort Design" without a comparator group but with a control period is proposed. METHODS AND
RESULTS: In the proposed design, the rate ratio is estimated using the method of prescription sequence symmetry analysis with slight modification so that the rate ratio can be estimated using data on subjects who have started the drug during the study period but no data on other subjects. DISCUSSION: The proposed design has an advantage that it can provide the measure of association. Another advantage common to all self-controlled methods is that the effect of the measured and unmeasured confounders is automatically canceled out when the effect is stable over the study period. Compared with the standard design with a comparator group, the proposed design also has weaknesses. For example, adjustment of confounding by the indication may be difficult when the indication is an acute condition. In addition, the rate ratio is not valid when the probability of the prescription of the drug is dependent on the occurrence of the outcome in the unexposed (pre-dose) period. The design may be used to evaluate the need for further studies although its real usefulness is to be determined in the future.
Copyright © 2015 John Wiley & Sons, Ltd.

Keywords:  pharmacoepidemiology; postmarketing drug surveillances; prescription sequence symmetry analysis; self-controlled design; symmetry analysis

Mesh:

Year:  2015        PMID: 26440748     DOI: 10.1002/pds.3886

Source DB:  PubMed          Journal:  Pharmacoepidemiol Drug Saf        ISSN: 1053-8569            Impact factor:   2.890


  3 in total

1.  Effect estimate comparison between the prescription sequence symmetry analysis (PSSA) and parallel group study designs: A systematic review.

Authors:  Demy L Idema; Yuanyuan Wang; Michael Biehl; Peter L Horvatovich; Eelko Hak
Journal:  PLoS One       Date:  2018-12-06       Impact factor: 3.240

2.  Association of atorvastatin with the risk of hepatotoxicity: a pilot prescription sequence symmetry analysis.

Authors:  Haiping Zhang; Jiani Wu; Zhuolin Zhang; Haisheng Qian; Yifan Wang; Miaomiao Yang; Yinchu Cheng; Shaowen Tang
Journal:  Ther Clin Risk Manag       Date:  2019-06-27       Impact factor: 2.423

3.  Risk of Liver Injury Associated with Intravenous Lipid Emulsions: A Prescription Sequence Symmetry Analysis.

Authors:  Xiao-Xiao Li; Yin-Chu Cheng; Suo-di Zhai; Peng Yao; Si-Yan Zhan; Lu-Wen Shi
Journal:  Front Pharmacol       Date:  2021-03-01       Impact factor: 5.810

  3 in total

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