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Medication-Wide Association Studies
Undiscovered side effects of drugs can have a profound effect on the health of the nation, and electronic health-care databases offer opportunities to speed up the discovery of these side effects. We applied a “medication-wide association study” approach that combined multivariate analysis with expl...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026636/ https://www.ncbi.nlm.nih.gov/pubmed/24448022 http://dx.doi.org/10.1038/psp.2013.52 |
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author | Ryan, P B Madigan, D Stang, P E Schuemie, M J Hripcsak, G |
author_facet | Ryan, P B Madigan, D Stang, P E Schuemie, M J Hripcsak, G |
author_sort | Ryan, P B |
collection | PubMed |
description | Undiscovered side effects of drugs can have a profound effect on the health of the nation, and electronic health-care databases offer opportunities to speed up the discovery of these side effects. We applied a “medication-wide association study” approach that combined multivariate analysis with exploratory visualization to study four health outcomes of interest in an administrative claims database of 46 million patients and a clinical database of 11 million patients. The technique had good predictive value, but there was no threshold high enough to eliminate false-positive findings. The visualization not only highlighted the class effects that strengthened the review of specific products but also underscored the challenges in confounding. These findings suggest that observational databases are useful for identifying potential associations that warrant further consideration but are unlikely to provide definitive evidence of causal effects. |
format | Online Article Text |
id | pubmed-4026636 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-40266362014-05-20 Medication-Wide Association Studies Ryan, P B Madigan, D Stang, P E Schuemie, M J Hripcsak, G CPT Pharmacometrics Syst Pharmacol Original Article Undiscovered side effects of drugs can have a profound effect on the health of the nation, and electronic health-care databases offer opportunities to speed up the discovery of these side effects. We applied a “medication-wide association study” approach that combined multivariate analysis with exploratory visualization to study four health outcomes of interest in an administrative claims database of 46 million patients and a clinical database of 11 million patients. The technique had good predictive value, but there was no threshold high enough to eliminate false-positive findings. The visualization not only highlighted the class effects that strengthened the review of specific products but also underscored the challenges in confounding. These findings suggest that observational databases are useful for identifying potential associations that warrant further consideration but are unlikely to provide definitive evidence of causal effects. Nature Publishing Group 2013-09 2013-09-18 /pmc/articles/PMC4026636/ /pubmed/24448022 http://dx.doi.org/10.1038/psp.2013.52 Text en Copyright © 2013 American Society for Clinical Pharmacology and Therapeutics http://creativecommons.org/licenses/by-nc-nd/3.0/ CPT: Pharmacometrics and Systems Pharmacology is an open-access journal published by Nature Publishing Group. This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-nd/3.0/ |
spellingShingle | Original Article Ryan, P B Madigan, D Stang, P E Schuemie, M J Hripcsak, G Medication-Wide Association Studies |
title | Medication-Wide Association Studies |
title_full | Medication-Wide Association Studies |
title_fullStr | Medication-Wide Association Studies |
title_full_unstemmed | Medication-Wide Association Studies |
title_short | Medication-Wide Association Studies |
title_sort | medication-wide association studies |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4026636/ https://www.ncbi.nlm.nih.gov/pubmed/24448022 http://dx.doi.org/10.1038/psp.2013.52 |
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