Identification of Acute Giant Cell Arteritis in Real‐World Data Using Administrative Claims‐Based Algorithms-Reference-Cited by-同舟云学术

Identification of Acute Giant Cell Arteritis in Real‐World Data Using Administrative Claims‐Based Algorithms

Published:2021-01-25 Issue:2 Volume:3 Page:72-78
ISSN:2578-5745
Container-title:ACR Open Rheumatology
language:en
Short-container-title:ACR Open Rheuma

Author:

Lee Hemin¹^ORCID,Tedeschi Sara K.¹^ORCID,Chen Sarah K.¹,Monach Paul A.²^ORCID,Kim Erin¹^ORCID,Liu Jun¹,Pethoe‐Schramm Attila³,Yau Vincent⁴,Kim Seoyoung C.¹^ORCID

Affiliation:

1. Brigham and Women’s Hospital and Harvard Medical School Boston Massachusetts

2. Brigham and Women's HospitalHarvard Medical School, and US Department of Veterans Affairs Boston Healthcare System Boston Massachusetts

3. F. Hoffmann‐La Roche Ltd. Basel Switzerland

4. Genentech South San Francisco California

Publisher

Wiley

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/acr2.11218

Reference26 articles.

1. Projected Worldwide Disease Burden from Giant Cell Arteritis by 2050

2. Infections and the risk of incident giant cell arteritis: a population-based, case-control study

3. Systemic Vasculitis in Adults in Northwestern Spain, 1988-1997: Clinical and Epidemiologic Aspects

4. Risk factors for visual loss in an Italian population-based cohort of patients with giant cell arteritis

5. The lifetime risk of adult-onset rheumatoid arthritis and other inflammatory autoimmune rheumatic diseases

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