Thielmann, L.-C.; Findik-Kilinc, M.; Füeßl, L.; Lottspeich, C.; Löw, A.; Henke, T.; Hasmann, S.; Prearo, I.; von Bismarck, A.; Reik, L.U.;
et al. A Clinical Probability-Based, Stepwise Algorithm for the Diagnosis of Giant Cell Arteritis: Study Protocol and Baseline Characteristics of the First 50 Patients Included in the Prospective Validation Study with Focus on Cranial Symptoms. J. Clin. Med. 2025, 14, 2254.
https://doi.org/10.3390/jcm14072254
AMA Style
Thielmann L-C, Findik-Kilinc M, Füeßl L, Lottspeich C, Löw A, Henke T, Hasmann S, Prearo I, von Bismarck A, Reik LU,
et al. A Clinical Probability-Based, Stepwise Algorithm for the Diagnosis of Giant Cell Arteritis: Study Protocol and Baseline Characteristics of the First 50 Patients Included in the Prospective Validation Study with Focus on Cranial Symptoms. Journal of Clinical Medicine. 2025; 14(7):2254.
https://doi.org/10.3390/jcm14072254
Chicago/Turabian Style
Thielmann, Lukas-Caspar, Melike Findik-Kilinc, Louise Füeßl, Christian Lottspeich, Anja Löw, Teresa Henke, Sandra Hasmann, Ilaria Prearo, Amanda von Bismarck, Lilly Undine Reik,
and et al. 2025. "A Clinical Probability-Based, Stepwise Algorithm for the Diagnosis of Giant Cell Arteritis: Study Protocol and Baseline Characteristics of the First 50 Patients Included in the Prospective Validation Study with Focus on Cranial Symptoms" Journal of Clinical Medicine 14, no. 7: 2254.
https://doi.org/10.3390/jcm14072254
APA Style
Thielmann, L.-C., Findik-Kilinc, M., Füeßl, L., Lottspeich, C., Löw, A., Henke, T., Hasmann, S., Prearo, I., von Bismarck, A., Reik, L. U., Wirthmiller, T., Nützel, A., Mackert, M. J., Priglinger, S., Schulz, H., Mayr, D., Haas-Lützenberger, E., Gebhardt, C., Schulze-Koops, H.,
& Czihal, M.
(2025). A Clinical Probability-Based, Stepwise Algorithm for the Diagnosis of Giant Cell Arteritis: Study Protocol and Baseline Characteristics of the First 50 Patients Included in the Prospective Validation Study with Focus on Cranial Symptoms. Journal of Clinical Medicine, 14(7), 2254.
https://doi.org/10.3390/jcm14072254
