{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"submitter":["Wallace ZS"],"funding":["National Institute of Arthritis and Musculoskeletal and Skin Diseases","NIAID NIH HHS","NIAMS NIH HHS","Sanofi"],"pagination":["371-377"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC8992468"],"repository":["biostudies-literature"],"omics_type":["Unknown"],"volume":["4(4)"],"pubmed_abstract":["Objective
Immunoglobulin-G4-related disease (IgG4-RD) is a systemic autoimmune disease that can affect nearly any organ, but its epidemiology remains poorly understood. Validated algorithms to identify cases in claims data will enable studies to describe IgG4-RD epidemiology in the general population.Methods
Potential claims-based algorithms were developed by IgG4-RD experts using a combination of International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, 10th Revision (ICD-10) codes, dispensed medications, and procedure codes for immunoglobulin G (IgG) subclass testing. Algorithms were tested using Medicare Parts A, B, and D linked to medical records (2007-2017). Classification of cases as IgG4-RD was determined using the"],"journal":["ACR open rheumatology"],"pubmed_title":["Derivation and Validation of Algorithms to Identify Patients With Immunoglobulin-G4-Related Disease Using Administrative Claims Data."],"pmcid":["PMC8992468"],"funding_grant_id":["UM1 AI144295","K23 AR073334","K23AR073334"],"pubmed_authors":["Choi HK","Stone JH","Fu X","Zhang Y","Perugino CA","Wallace ZS","Cook C"],"additional_accession":[]},"is_claimable":false,"name":"Derivation and Validation of Algorithms to Identify Patients With Immunoglobulin-G4-Related Disease Using Administrative Claims Data.","description":"Objective
Immunoglobulin-G4-related disease (IgG4-RD) is a systemic autoimmune disease that can affect nearly any organ, but its epidemiology remains poorly understood. Validated algorithms to identify cases in claims data will enable studies to describe IgG4-RD epidemiology in the general population.Methods
Potential claims-based algorithms were developed by IgG4-RD experts using a combination of International Classification of Diseases, Ninth Revision (ICD-9) and International Classification of Diseases, 10th Revision (ICD-10) codes, dispensed medications, and procedure codes for immunoglobulin G (IgG) subclass testing. Algorithms were tested using Medicare Parts A, B, and D linked to medical records (2007-2017). Classification of cases as IgG4-RD was determined using the","dates":{"release":"2022-01-01T00:00:00Z","publication":"2022 Apr","modification":"2025-04-19T13:01:39.185Z","creation":"2025-04-19T13:01:39.185Z"},"accession":"S-EPMC8992468","cross_references":{"pubmed":["35080149"],"doi":["10.1002/acr2.11405"]}}