Demographic and Clinical Characteristics of Patients with Sustained and Switching Treatments Using Biological and Targeted Synthetic Disease-Modifying Antirheumatic Drugs: A Multicenter, Observational Cross-Sectional Study for Rheumatoid Arthritis
Author:
Publisher
Springer Science and Business Media LLC
Subject
Immunology and Allergy,Rheumatology
Link
https://link.springer.com/content/pdf/10.1007/s40744-021-00403-y.pdf
Reference37 articles.
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2. Vodencarevic A, Tascilar K, Hartmann F, Reiser M, Hueber AJ, Haschka J, et al. Advanced machine learning for predicting individual risk of flares in rheumatoid arthritis patients tapering biologic drugs. Arthritis Res Ther. 2021;23(1):67.
3. Murray K, Turk M, Alammari Y, Young F, Gallagher P, Saber T, et al. Long-term remission and biologic persistence rates: 12-year real-world data. Arthritis Res Ther. 2021;23(1):25.
4. Kameda H, Hirata A, Katagiri T, Takakura Y, Inoue Y, Takenaka S, et al. Prediction of disease flare by biomarkers after discontinuing biologics in patients with rheumatoid arthritis achieving stringent remission. Sci Rep. 2021;11(1):6865.
5. Nekvindová L, Vencovský J, Pavelka K, Horák P, Křístková Z, Závada J. Switching first-line targeted therapy after not reaching low disease activity within 6 months is superior to conservative approach: a propensity score-matched analysis from the ATTRA registry. Arthritis Res Therapy [Internet]. 2021; 23(1):[11]. Available from: http://europepmc.org/abstract/MED/33407803. Doi: https://doi.org/10.1186/s13075-020-02393-8. https://europepmc.org/articles/PMC7789592. https://europepmc.org/articles/PMC7789592?pdf=render
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