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ID

45890

Description

Principal Investigator: Rex Chisholm, PhD, Northwestern University MeSH: Arthritis, Rheumatoid https://www.ncbi.nlm.nih.gov/projects/gap/cgi-bin/study.cgi?study_id=phs000983 Rheumatoid arthritis (RA) is the most common autoimmune inflammatory arthritis worldwide and affects 1.3 million adults in the USA. It has previously been studied using phenotype algorithms to identify electronic health records (EHR) case cohorts. Early genetic studies of EHR-linked cohorts of RA patients have been replicated in known associations. Further development of collections of EHR-linked cohorts for RA and other phenotypes may enable not only enhanced understanding of disease risks but also the investigation of outcomes and treatment responses.

Link

dbGaP study = phs000983

Keywords

  1. 12/1/23 12/1/23 - Simon Heim
Copyright Holder

Rex Chisholm, PhD, Northwestern University

Uploaded on

December 1, 2023

DOI

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License

Creative Commons BY 4.0

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    dbGaP phs000983 Pharmacogenomics of Rheumatoid Arthritis Therapy

    Eligibility Criteria

    Inclusion and exclusion criteria
    Description

    Inclusion and exclusion criteria

    Alias
    UMLS CUI [1,1]
    C1512693
    UMLS CUI [1,2]
    C0680251
    Subjects were determined using an electronic algorithm deployed with an existing EMR. The algorithm used for identifying study subjects in the electronic health record is described in the following article: RJ Carroll et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. JAMIA, 2012 Jun;19(e1):e162-9. Epub 2012 Feb 28. PMID: 22374935.
    Description

    Subjects were determined using an electronic algorithm deployed with an existing EMR. The algorithm used for identifying study subjects in the electronic health record is described in the following article: RJ Carroll et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. JAMIA, 2012 Jun;19(e1):e162-9. Epub 2012 Feb 28. PMID: 22374935.

    Data type

    boolean

    Alias
    UMLS CUI [1,1]
    C1148554
    UMLS CUI [1,2]
    C0002045
    UMLS CUI [1,3]
    C2362543
    UMLS CUI [2,1]
    C0002045
    UMLS CUI [2,2]
    C0681850
    UMLS CUI [2,3]
    C0205396
    UMLS CUI [2,4]
    C2362543
    UMLS CUI [2,5]
    C1704324
    UMLS CUI [2,6]
    C0003873

    Similar models

    Eligibility Criteria

    Name
    Type
    Description | Question | Decode (Coded Value)
    Data type
    Alias
    Item Group
    Inclusion and exclusion criteria
    C1512693 (UMLS CUI [1,1])
    C0680251 (UMLS CUI [1,2])
    Subjects were determined using an electronic algorithm deployed with an existing EMR. The algorithm used for identifying study subjects in the electronic health record is described in the following article: RJ Carroll et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. JAMIA, 2012 Jun;19(e1):e162-9. Epub 2012 Feb 28. PMID: 22374935.
    Item
    Subjects were determined using an electronic algorithm deployed with an existing EMR. The algorithm used for identifying study subjects in the electronic health record is described in the following article: RJ Carroll et al. Portability of an algorithm to identify rheumatoid arthritis in electronic health records. JAMIA, 2012 Jun;19(e1):e162-9. Epub 2012 Feb 28. PMID: 22374935.
    boolean
    C1148554 (UMLS CUI [1,1])
    C0002045 (UMLS CUI [1,2])
    C2362543 (UMLS CUI [1,3])
    C0002045 (UMLS CUI [2,1])
    C0681850 (UMLS CUI [2,2])
    C0205396 (UMLS CUI [2,3])
    C2362543 (UMLS CUI [2,4])
    C1704324 (UMLS CUI [2,5])
    C0003873 (UMLS CUI [2,6])

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