PD Dr. Johannes Knitza

Department of Medicine 2 – Cardiology and Angiology Department of Medicine 3 – Rheumatology and Immunology

ACCURACY AND PERFORMANCE OF A HANDHELD ULTRASOUND DEVICE TO ASSESS ARTICULAR AND PERIARTICULAR PATHOLOGIES IN PATIENTS WITH INFLAMMATORY ARTHRITIS (2021) Corte G, Bayat S, Tascilar K, Valor L, Schuster L, Knitza J, Schett G, et al. Conference contribution A real-world rheumatology registry and research consortium: The German RheumaDatenRhePort (RHADAR) registry (2021) Kleinert S, Bartz-Bazzanella P, von der Decken C, Knitza J, Witte T, Fekete SP, Konitzny M, et al. Journal article, Review article Patient self-sampling: a cornerstone of future rheumatology care? (2021) Morf H, Krusche M, Knitza J Journal article, Letter A virtual reality based app to educate health care professionals and medical students about inflammatory arthritis: Feasibility study (2021) Klemm P, Kleyer A, Tascilar K, Schuster L, Meinderink T, Steiger F, Lange U, et al. Journal article Reduced Muscle Strength Is Associated With Insulin Resistance in Type 2 Diabetes Patients With Osteoarthritis (2021) Zaharia OP, Pesta DH, Bobrov P, Kupriyanova Y, Herder C, Karusheva Y, Bódis K, et al. Journal article Acceptance of telerheumatology by rheumatologists and general practitioners in Germany: Nationwide cross-sectional survey study (2021) Muehlensiepen F, Knitza J, Marquardt W, Engler J, Hueber A, Welcker M Journal article Digital rheumatology in the era of COVID-19: results of a national patient and physician survey (2021) Kernder A, Morf H, Klemm P, Vossen D, Haase I, Mucke J, Meyer M, et al. Journal article Digital diagnostic support in rheumatology Digitale Diagnoseunterstützung in der Rheumatologie (2021) Knitza J, Krusche M, Leipe J Journal article, Review article Akzeptanz der Videosprechstunde unter Patienten/innen mit entzündlich rheumatischen Erkrankungen ist geschlechts- und ortsabhängig – Ergebnisse einer Online-Umfrage unter Patienten/innen und Ärzten/innen (2021) Vossen D, Knitza J, Klemm P, Haase I, Mucke J, Kernder A, Meyer M, et al. Journal article Deep Learning zur Erkennung der radiographischen Sakroiliitis (2021) Knitza J Journal article