ArticleMedical care2008
Adaptation of Bayesian data mining algorithms to longitudinal claims data: coxib safety as an example.
Article in Medical care, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
17 citing papers in PubMed.
- Signal Detection of Adverse Events Associated with Trastuzumab in a Cohort of Elderly Patients with Breast Cancer.The oncologist · 2022Article
- Challenges and Opportunities of Real-World Data: Statistical Analysis Plan for the Optimise:MS Multicenter Prospective Cohort Pharmacovigilance Study.Frontiers in neurology · 2022Article
- Sources of Safety Data and Statistical Strategies for Design and Analysis: Postmarket Surveillance.Therapeutic innovation & regulatory science · 2018Review
- Statistical Power for Postlicensure Medical Product Safety Data Mining.EGEMS (Washington, DC) · 2017Article
- Hierarchical Models for Multiple, Rare Outcomes Using Massive Observational Healthcare Databases.Statistical analysis and data mining · 2016Article
- Good Signal Detection Practices: Evidence from IMI PROTECT.Drug safety · 2016Article
- Sequence Symmetry Analysis as a Signal Detection Tool for Potential Heart Failure Adverse Events in an Administrative Claims Database.Drug safety · 2016Article
- Detection of Drug-Drug Interactions Inducing Acute Kidney Injury by Electronic Health Records Mining.Drug safety · 2015Article
- Evaluating performance of electronic healthcare records and spontaneous reporting data in drug safety signal detection.International journal of clinical pharmacy · 2015Article
- Drug Adverse Event Detection in Health Plan Data Using the Gamma Poisson Shrinker and Comparison to the Tree-based Scan Statistic.Pharmaceutics · 2013Article
- Postmarketing safety surveillance : where does signal detection using electronic healthcare records fit into the big picture?Drug safety · 2013Review
- Massive parallelization of serial inference algorithms for a complex generalized linear model.ACM transactions on modeling and computer simulation : a publication of the Association for Computing Machinery · 2013Article
- Signal detection and monitoring based on longitudinal healthcare data.Pharmaceutics · 2012Article
- Amiodarone-associated optic neuropathy: a critical review.The American journal of medicine · 2012Review
- Potential and pitfalls of using large administrative claims data to study the safety of osteoporosis therapies.Current rheumatology reports · 2011Review
- Development and evaluation of a common data model enabling active drug safety surveillance using disparate healthcare databases.Journal of the American Medical Informatics Association : JAMIAArticle
- Fractures and mortality in relation to different osteoporosis treatments.Clinical and experimental rheumatologyObservational
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
introductionBayesian data mining methods have been used to evaluate drug safety signals from adverse event reporting systems and allow for evaluation of multiple endpoints that are not prespecified. Their adaptation for use with longitudinal data such as administrative claims has not been previously evaluated or validated.
methodsIn this pilot study, we evaluated the feasibility of adapting data mining methods using the empirical Bayes Multi-item Gamma Poisson Shrinkage (MGPS) algorithm to longitudinal administrative claims data. The Medicare Current Beneficiary Survey was used to identify a cohort of Medicare enrollees who were exposed to cyclooxygenase selective (coxib) or nonselective nonsteroidal anti-inflammatory drugs (NS-NSAIDs) from 1999 to 2003. Empirical Bayes MGPS algorithm was used to simultaneously evaluate 259 outcomes associated with current use of coxibs versus NS-NSAIDs while adjusting for key covariates and multiple comparisons. For comparison, a parallel analysis used traditional epidemiologic methods to evaluate the relationship between coxib versus NS-NSAID use and acute myocardial infarction, with the goal of establishing the concurrent validity of the data mining approach.
resultsAmong 9431 Medicare beneficiaries using NSAIDs and considering all 259 possible outcomes, empirical Bayes MGPS identified an association between current celecoxib use and acute myocardial infarction (Empirical Bayes Geometric Mean ratio 1.91) but not other outcomes. Rofecoxib use was associated with acute cerebrovascular events (Empirical Bayes Geometric Mean ratio 1.85) and several other diagnoses that likely represented indications for the drug. Results from the analyses using traditional epidemiologic methods were similar and indicated that the data mining results were valid. DISCUSSION: Bayesian data mining methods seem useful to evaluate drug safety using administrative data. Further work will be needed to extend these findings to different types of drug exposures and to other claims databases.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.