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...

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Detalles Bibliográficos
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.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2021
Materias:
Original Articles
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

Internet

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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