ArticleDrug safety2010
Temporal data mining for adverse events following immunization in nationwide Danish healthcare databases.
Article in Drug safety, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 3 of them syntheses that pooled it.
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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.
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Who cites it
9 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.
- Vaccines for measles, mumps, rubella, and varicella in children.The Cochrane database of systematic reviews · 2021Pooled it
- Vaccines for measles, mumps, rubella, and varicella in children.The Cochrane database of systematic reviews · 2020Pooled it
- Vaccines for measles, mumps and rubella in children.The Cochrane database of systematic reviews · 2012Pooled it
- Modeling multivariate clinical event time-series with recurrent temporal mechanisms.Artificial intelligence in medicine · 2021Article
- Statistical Power for Postlicensure Medical Product Safety Data Mining.EGEMS (Washington, DC) · 2017Article
- Immunisation Information Systems - useful tools for monitoring vaccination programmes in EU/EEA countries, 2016.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2017Article
- Detection of Drug-Drug Interactions Inducing Acute Kidney Injury by Electronic Health Records Mining.Drug safety · 2015Article
- Postmarketing safety surveillance : where does signal detection using electronic healthcare records fit into the big picture?Drug safety · 2013Review
- Use of population based background rates of disease to assess vaccine safety in childhood and mass immunisation in Denmark: nationwide population based cohort study.BMJ (Clinical research ed.) · 2012Article
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundA rarely used opportunity in pharmacovigilance is data mining for adverse drug reactions (ADRs) in population-based healthcare databases.
objectiveTo evaluate the potential of data mining for ADRs in the nationwide Danish healthcare databases. We specifically considered hospital contacts following measles, mumps and rubella (MMR) immunization.
methodsWe constructed a cohort consisting of all children born in Denmark from 1995 to 2007 (n = 918,831) with individual-level linked data on childhood vaccinations and hospital contacts from the nationwide Danish healthcare databases. We applied a cohort-based data mining methodology to compare the observed versus the expected incidence of adverse event in different time periods relative to immunization. With this approach we evaluated temporal associations between MMR immunization and 5915 different diagnoses occurring in the cohort. In order to evaluate the ability of our approach to detect signals, we singled out a set of four adverse events previously recognized as being associated with the MMR vaccine.
resultsWe were able to link a total of 3,162,251 hospital contacts and 5915 different diagnoses to the children in the cohort. Previously recognized temporal associations between adverse events (febrile convulsions, idiopathic thrombocytopenic purpura, lymphadenopathy and rash) and MMR immunization were identified in the Danish databases by our method.
conclusionsData mining in the Danish population-based healthcare databases provides adequate ability to detect adverse events. Pharmacovigilance using electronic healthcare databases holds potential as an important supplement to traditional pharmacovigilance.
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