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Identification of Acute Giant Cell Arteritis in Real‐World Data Using Administrative Claims‐Based Algorithms
OBJECTIVE: The objective of this study was to validate claims‐based algorithms for identifying acute giant cell arteritis (GCA) that will help generate real‐world evidence on comparative effectiveness research and epidemiologic studies. Among patients identified by the GCA algorithm, we further inve...
Autores principales: | Lee, Hemin, Tedeschi, Sara K., Chen, Sarah K., Monach, Paul A., Kim, Erin, Liu, Jun, Pethoe‐Schramm, Attila, Yau, Vincent, Kim, Seoyoung C. |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7882520/ https://www.ncbi.nlm.nih.gov/pubmed/33491920 http://dx.doi.org/10.1002/acr2.11218 |
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