@article{ElHelouBiegnerBodeetal.2019,
  author    = {El-Helou, Sabine M. and Biegner, Anika-Kerstin and Bode, Sebastian and Ehl, Stephan R. and Heeg, Maximilian and Maccari, Maria E. and Ritterbusch, Henrike and Speckmann, Carsten and Rusch, Stephan and Scheible, Raphael and Warnatz, Klaus and Atschekzei, Faranaz and Beider, Renata and Ernst, Diana and Gerschmann, Stev and Jablonka, Alexandra and Mielke, Gudrun and Schmidt, Reinhold E. and Sch{\"u}rmann, Gesine and Sogkas, Georgios and Baumann, Ulrich H. and Klemann, Christian and Viemann, Dorothee and Bernuth, Horst von and Kr{\"u}ger, Renate and Hanitsch, Leif G. and Scheibenbogen, Carmen M. and Wittke, Kirsten and Albert, Michael H. and Eichinger, Anna and Hauck, Fabian and Klein, Christoph and Rack-Hoch, Anita and Sollinger, Franz M. and Avila, Anne and Borte, Michael and Borte, Stephan and Fasshauer, Maria and Hauenherm, Anja and Kellner, Nils and M{\"u}ller, Anna H. and {\"U}lzen, Anett and Bader, Peter and Bakhtiar, Shahrzad and Lee, Jae-Yun and Heß, Ursula and Schubert, Ralf and W{\"o}lke, Sandra and Zielen, Stefan and Ghosh, Sujal and Laws, Hans-Juergen and Neubert, Jennifer and Oommen, Prasad T. and H{\"o}nig, Manfred and Schulz, Ansgar and Steinmann, Sandra and Klaus, Schwarz and D{\"u}ckers, Gregor and Lamers, Beate and Langemeyer, Vanessa and Niehues, Tim and Shai, Sonu and Graf, Dagmar and M{\"u}glich, Carmen and Schmalzing, Marc T. and Schwaneck, Eva C. and Tony, Hans-Peter and Dirks, Johannes and Haase, Gabriele and Liese, Johannes G. and Morbach, Henner and Foell, Dirk and Hellige, Antje and Wittkowski, Helmut and Masjosthusmann, Katja and Mohr, Michael and Geberzahn, Linda and Hedrich, Christian M. and M{\"u}ller, Christiane and R{\"o}sen-Wolff, Angela and Roesler, Joachim and Zimmermann, Antje and Behrends, Uta and Rieber, Nikolaus and Schauer, Uwe and Handgretinger, Rupert and Holzer, Ursula and Henes, J{\"o}rg and Kanz, Lothar and Boesecke, Christoph and Rockstroh, J{\"u}rgen K. and Schwarze-Zander, Carolynne and Wasmuth, Jan-Christian and Dilloo, Dagmar and H{\"u}lsmann, Brigitte and Sch{\"o}nberger, Stefan and Schreiber, Stefan and Zeuner, Rainald and Ankermann, Tobias and Bismarck, Philipp von and Huppertz, Hans-Iko and Kaiser-Labusch, Petra and Greil, Johann and Jakoby, Donate and Kulozik, Andreas E. and Metzler, Markus and Naumann-Bartsch, Nora and Sobik, Bettina and Graf, Norbert and Heine, Sabine and Kobbe, Robin and Lehmberg, Kai and M{\"u}ller, Ingo and Herrmann, Friedrich and Horneff, Gerd and Klein, Ariane and Peitz, Joachim and Schmidt, Nadine and Bielack, Stefan and Groß-Wieltsch, Ute and Classen, Carl F. and Klasen, Jessica and Deutz, Peter and Kamitz, Dirk and Lassy, Lisa and Tenbrock, Klaus and Wagner, Norbert and Bernbeck, Benedikt and Brummel, Bastian and Lara-Villacanas, Eusebia and M{\"u}nstermann, Esther and Schneider, Dominik T. and Tietsch, Nadine and Westkemper, Marco and Weiß, Michael and Kramm, Christof and K{\"u}hnle, Ingrid and Kullmann, Silke and Girschick, Hermann and Specker, Christof and Vinnemeier-Laubenthal, Elisabeth and Haenicke, Henriette and Schulz, Claudia and Schweigerer, Lothar and M{\"u}ller, Thomas G. and Stiefel, Martina and Belohradsky, Bernd H. and Soetedjo, Veronika and Kindle, Gerhard and Grimbacher, Bodo},
  title     = {The German national registry of primary immunodeficiencies (2012-2017)},
  series = {Frontiers in Immunology},
  volume    = {10},
  journal   = {Frontiers in Immunology},
  doi       = {10.3389/fimmu.2019.01272},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-226629},
  year      = {2019},
  abstract  = {Introduction: The German PID-NET registry was founded in 2009, serving as the first national registry of patients with primary immunodeficiencies (PID) in Germany. It is part of the European Society for Immunodeficiencies (ESID) registry. The primary purpose of the registry is to gather data on the epidemiology, diagnostic delay, diagnosis, and treatment of PIDs. Methods: Clinical and laboratory data was collected from 2,453 patients from 36 German PID centres in an online registry. Data was analysed with the software Stata® and Excel. Results: The minimum prevalence of PID in Germany is 2.72 per 100,000 inhabitants. Among patients aged 1-25, there was a clear predominance of males. The median age of living patients ranged between 7 and 40 years, depending on the respective PID. Predominantly antibody disorders were the most prevalent group with 57\% of all 2,453 PID patients (including 728 CVID patients). A gene defect was identified in 36\% of patients. Familial cases were observed in 21\% of patients. The age of onset for presenting symptoms ranged from birth to late adulthood (range 0-88 years). Presenting symptoms comprised infections (74\%) and immune dysregulation (22\%). Ninety-three patients were diagnosed without prior clinical symptoms. Regarding the general and clinical diagnostic delay, no PID had undergone a slight decrease within the last decade. However, both, SCID and hyper IgE-syndrome showed a substantial improvement in shortening the time between onset of symptoms and genetic diagnosis. Regarding treatment, 49\% of all patients received immunoglobulin G (IgG) substitution (70\%-subcutaneous; 29\%-intravenous; 1\%-unknown). Three-hundred patients underwent at least one hematopoietic stem cell transplantation (HSCT). Five patients had gene therapy. Conclusion: The German PID-NET registry is a precious tool for physicians, researchers, the pharmaceutical industry, politicians, and ultimately the patients, for whom the outcomes will eventually lead to a more timely diagnosis and better treatment.},
  language  = {en}
}
@article{MaibachSchulzHeinrich2011,
  author    = {Maibach, Christiane and Schulz, Johannes and Heinrich, Axel},
  title     = {Fallbasiertes Lernen mit CaseTrain: Umsetzung und Einsatz zur Vermittlung von Informationskompetenz an der Universit{\"a}tsbibliothek W{\"u}rzburg},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-65313},
  year      = {2011},
  abstract  = {Eines der Schlagworter, das die Hochschullehre in den letzten Jahren f{\"u}r sich entdeckt hat, ist das Blended Learning. Nach einer Ern{\"u}chterung {\"u}ber das Potential von eLearning, setzte sich die Idee der Kombination aus Pr{\"a}senzlehre und eLearning immer st{\"a}rker durch . Die Entstehung zahlreicher universit{\"a}rer eLearning- und Blended-Learning-Zentren tritt den Beweis daf{\"u}r an, dass die Erg{\"a}nzung des herkommlichen Hochschulunterrichts durch eLearning-Einheiten nicht mehr nur das Steckenpferd einiger technikaffiner Dozenten ist, sondern weitreichende Akzeptanz an Hochschulen gefunden hat. Die Universitiit W{\"u}rzburg hat 2007 mit dem Beginn ihres Blended-Learning-Projekts entschieden, der Hochschuldidaktik einen h{\"o}heren Stellenwert einzur{\"a}umen und der Entwicklung neuer Systeme damit T{\"u}r und Tor zu {\"o}ffnen. Inzwischen ist nicht nur die Lernplattform Moodle unter der Bezeichnung WueCampus universit{\"a}tsweit etabliert. Im Zuge des Blended-Learning-Projekts wurde auch ein computerbasiertes System f{\"u}r fallbasierte Trainingseinheiten (CaseTrain) entwickelt, das die Pr{\"a}senzlehre in fast allen Fakult{\"a}ten unterst{\"u}tzt und damit problembasiertes Lernen aus der Medizin und den Rechtswissenschaften in andere Fakult{\"a}ten tr{\"a}gt. Auch die Universit{\"a}tsbibliothek hat schnell das Potential dieser Software f{\"u}r die Vermittlung von Informationskompetenz erkannt und setzt das System seit 2008 mit zunehmender Akzeptanz bei den Studierenden ein.},
  subject      = {Informationskompetenz},
  language  = {de}
}
@article{WoźnickiLaquaMessmeretal.2022,
  author    = {Wo{\'{z}}nicki, Piotr and Laqua, Fabian Christopher and Messmer, Katharina and Kunz, Wolfgang Gerhard and Stief, Christian and N{\"o}renberg, Dominik and Schreier, Andrea and W{\´o}jcik, Jan and Ruebenthaler, Johannes and Ingrisch, Michael and Ricke, Jens and Buchner, Alexander and Schulz, Gerald Bastian and Gresser, Eva},
  title     = {Radiomics for the prediction of overall survival in patients with bladder cancer prior to radical cystectomy},
  series = {Cancers},
  volume    = {14},
  journal   = {Cancers},
  number    = {18},
  issn      = {2072-6694},
  doi       = {10.3390/cancers14184449},
  url       = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-288098},
  year      = {2022},
  abstract  = {(1) Background: To evaluate radiomics features as well as a combined model with clinical parameters for predicting overall survival in patients with bladder cancer (BCa). (2) Methods: This retrospective study included 301 BCa patients who received radical cystectomy (RC) and pelvic lymphadenectomy. Radiomics features were extracted from the regions of the primary tumor and pelvic lymph nodes as well as the peritumoral regions in preoperative CT scans. Cross-validation was performed in the training cohort, and a Cox regression model with an elastic net penalty was trained using radiomics features and clinical parameters. The models were evaluated with the time-dependent area under the ROC curve (AUC), Brier score and calibration curves. (3) Results: The median follow-up time was 56 months (95\% CI: 48-74 months). In the follow-up period from 1 to 7 years after RC, radiomics models achieved comparable predictive performance to validated clinical parameters with an integrated AUC of 0.771 (95\% CI: 0.657-0.869) compared to an integrated AUC of 0.761 (95\% CI: 0.617-0.874) for the prediction of overall survival (p = 0.98). A combined clinical and radiomics model stratified patients into high-risk and low-risk groups with significantly different overall survival (p < 0.001). (4) Conclusions: Radiomics features based on preoperative CT scans have prognostic value in predicting overall survival before RC. Therefore, radiomics may guide early clinical decision-making.},
  language  = {en}
}