Cohort identification of axial spondyloarthritis in a large healthcare dataset: current and future methods

Cohort identification of axial spondyloarthritis in a large healthcare dataset: current and future methods

Abstract Background Big data research is important for studying uncommon diseases in real-world settings. Most big data studies in axial spondyloarthritis (axSpA) have been limited to populations identified with billing codes for ankylosing spondylitis (AS). axSpA is a more inclusive concept, and re...

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Bibliographic Details
Main Authors: Jessica A. Walsh, Shaobo Pei, Gopi K. Penmetsa, Jianwei Leng, Grant W. Cannon, Daniel O. Clegg, Brian C. Sauer
Format: Article
Language:English
Published: BMC 2018-09-01
Series:BMC Musculoskeletal Disorders
Subjects:
Spondyloarthropathy
Ankylosing spondylitis
Databases
Health services research
Online Access:http://link.springer.com/article/10.1186/s12891-018-2211-7

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http://link.springer.com/article/10.1186/s12891-018-2211-7

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