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Healthy Skepticism Library item: 5563

Warning: This library includes all items relevant to health product marketing that we are aware of regardless of quality. Often we do not agree with all or part of the contents.

 

Publication type: Journal Article

Gardarsdottir H, Heerdink ER, Egberts AC.
Potential bias in pharmacoepidemiological studies due to the length of the drug free period: a study on antidepressant drug use in adults in the Netherlands.
Pharmacoepidemiol Drug Saf 2006 May 01; 15:(5):338-43
http://www3.interscience.wiley.com/cgi-bin/abstract/112466084/ABSTRACT?CRETRY=1&SRETRY=0


Abstract:

PURPOSE: The aim of this study was to evaluate the effect of the length of the drug free period on incidence measurements as well as on cohort characteristics in users of antidepressants. METHODS: The study population consisted of patients aged 18 years or older who filled a prescription for an antidepressant drug in the Netherlands, between October 2001 and September 2002. One-year incidence of antidepressant drug use was estimated using drug free periods varying in length from 1 month to 9 years. In addition, we evaluated what effect the drug free period has on cohort characteristics by comparing a cohort of first time antidepressant drug users defined using a 9-year drug free period with cohorts using 6, 12 and 24 months drug free period. RESULTS: When using a 6-month drug free period the measured incidence was about 32 per 1,000 individuals (95%CI: 31.3, 32.6) while the measured incidence was 27.5 (95%CI: 26.9, 28.1), 23.5 (95%CI: 22.9, 24.0) and 17.2 (95%CI: 16.7, 17.7) per 1,000 individuals when using a 12-month, 24 month respectively a 9-year drug free period. Furthermore, the prevalence of characteristics in inception cohort studies changes when using different drug free periods. CONCLUSION: Altering the drug free period from a short to a longer one results in decreased incidence. Furthermore, for inception cohorts where first time drug use is an inclusion criterion the drug free period can influence the prevalence of cohort characteristics and for short drug free periods give biased estimates.

Keywords:
Adolescent Adult Aged Antidepressive Agents/administration & dosage* Bias (Epidemiology) Cohort Studies Female Humans Incidence Male Middle Aged Pharmacoepidemiology/methods* Time Factors

 

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Far too large a section of the treatment of disease is to-day controlled by the big manufacturing pharmacists, who have enslaved us in a plausible pseudo-science...
The blind faith which some men have in medicines illustrates too often the greatest of all human capacities - the capacity for self deception...
Some one will say, Is this all your science has to tell us? Is this the outcome of decades of good clinical work, of patient study of the disease, of anxious trial in such good faith of so many drugs? Give us back the childlike trust of the fathers in antimony and in the lancet rather than this cold nihilism. Not at all! Let us accept the truth, however unpleasant it may be, and with the death rate staring us in the face, let us not be deceived with vain fancies...
we need a stern, iconoclastic spirit which leads, not to nihilism, but to an active skepticism - not the passive skepticism, born of despair, but the active skepticism born of a knowledge that recognizes its limitations and knows full well that only in this attitude of mind can true progress be made.
- William Osler 1909