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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...

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Autores principales: Ryan, P B, Madigan, D, Stang, P E, Schuemie, M J, Hripcsak, G
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2013
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.
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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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