Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort

The predictive models based on patient-reported outcome measures achieved fair performance with limited potential to early identify RA patients. Lifestyle activities and difficulties in daily life were associated with risk of RA and should be considered in anamnesis.

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Publication Details

Journal
International Journal of Medical Informatics
Published
2025-04-08
DOI
https://doi.org/10.1016/j.ijmedinf.2025.105915
Citations
1
Primary Topic
Rheumatoid Arthritis Research and Therapies
Type
article
Field-Weighted Citation Impact
1.67

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article

Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort

Fanji Qiu, Kirsten Legerlotz, Friedemann Schwenkreis, Rongrong Zhang
1 citations
International Journal of Medical Informatics
Rheumatoid Arthritis Research and Therapies
1.67
article

Predicting rheumatoid arthritis in the middle-aged and older population using patient-reported outcomes: insights from the SHARE cohort

Fanji Qiu, Kirsten Legerlotz, Friedemann Schwenkreis, Rongrong Zhang
article en
1 citations

Abstract

The predictive models based on patient-reported outcome measures achieved fair performance with limited potential to early identify RA patients. Lifestyle activities and difficulties in daily life were associated with risk of RA and should be considered in anamnesis.

International Journal of Medical InformaticsVol. 200
North China Electric Power University (CN), University of Wuppertal (DE), Humboldt-Universität zu Berlin (DE), Baden-Wuerttemberg Cooperative State University (DE)
China Scholarship Council
Openalex Percentile: Top 19%
Rheumatoid Arthritis Research and Therapies
1.67
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