ArticleEuropean journal of epidemiology2010
Analysis of individual drug use as a time-varying determinant of exposure in prospective population-based cohort studies.
Article in European journal of epidemiology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.
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Who cites it
51 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Beta-blocker use and fall risk in older individuals: Original results from two studies with meta-analysis.British journal of clinical pharmacology · 2017Pooled it
- Risk of dementia from proton pump inhibitor use in Asian population: A nationwide cohort study in Taiwan.PloS one · 2017Trial
- Article
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- Proton pump inhibitors are associated with incident type 2 diabetes mellitus in a prospective population-based cohort study.British journal of clinical pharmacology · 2022Article
- Change in healthcare during Covid-19 pandemic was assessed through observational designs.Journal of clinical epidemiology · 2022Observational
- Using Medicare Data to Assess the Proarrhythmic Risk of Non-Cardiac Treatment Drugs that Prolong the QT Interval in Older Adults: An Observational Cohort Study.Drugs - real world outcomes · 2021Article
- Maternal Sociodemographic Factors Are Associated with Methylphenidate Initiation in Children in the Netherlands: A Population-Based Study.Child psychiatry and human development · 2021Article
- Effect of β-blockers on the risk of COPD exacerbations according to indication of use: the Rotterdam Study.ERJ open research · 2021Article
- Observational
- Metformin Is Associated with Higher Incidence of Acidosis, but Not Mortality, in Individuals with COVID-19 and Pre-existing Type 2 Diabetes.Cell metabolism · 2020Article
- Independent effects of 15 commonly prescribed drugs on all-cause mortality among US elderly patients with type 2 diabetes mellitus.BMJ open diabetes research & care · 2020Article
- βJournal of clinical medicine · 2019Article
- Repeated interviews are much better for drug exposure assessment than a single baseline interview.European journal of epidemiology · 2019Article
- Associations of statin use with glycaemic traits and incident type 2 diabetes.British journal of clinical pharmacology · 2019Article
- Association Between Metformin and Sulfonylurea Monotherapies and Cancer Incidence: A Real-World Cohort Study in Shanghai, China.Diabetes therapy : research, treatment and education of diabetes and related disorders · 2019Article
- Effect of Renin-Angiotensin-Aldosterone System Blockade on Outcomes in Patients With ESRD: A Prospective Cohort Study in Korea.Kidney international reports · 2018Article
- Association between poor therapy adherence to inhaled corticosteroids and tiotropium and morbidity and mortality in patients with COPD.International journal of chronic obstructive pulmonary disease · 2018Article
- Determinants and Predictors of Grief Severity and Persistence: The Rotterdam Study.Journal of aging and health · 2017Article
- Using Multiple Pharmacovigilance Models Improves the Timeliness of Signal Detection in Simulated Prospective Surveillance.Drug safety · 2017Article
Corrections and comments
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Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In pharmaco-epidemiology, the use of drugs is the determinant of interest when studying exposure-outcome associations. The increased availability of computerized information about drug use on an individual basis has greatly facilitated analyses of drug effects on a population-based scale. It seems likely that many negative findings in the early days of pharmaco-epidemiology can be explained by non-differential misclassification because of too simple (yes/no) exposure measures. In this paper, the authors discuss the importance of an adequate definition of drug exposure in pharmaco-epidemiological research and how this time-varying determinant can be analyzed in cohort studies. To reduce the risk of non-differential misclassification, a precise definition of exposure is mandatory and it is important to distinguish the complete follow-up period of a population into mutually exclusive episodes of non-use, past use and current use for each individual. By analyzing exposure to drugs as a time-dependent variable in a Cox regression model, cohort studies with complete coverage of all filled prescriptions can provide us with valid and precise risk estimates of drug-outcome associations. However, such estimates may be biased in the presence of time-dependent confounders which are themselves affected by prior exposure.
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