Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease.
Saved in:
| Title: | Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease. |
|---|---|
| Authors: | Gregorich M; Center for Medical Data Science, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria., Kammer M; Center for Medical Data Science, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria., Heinzel A; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria., Böger C; Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany.; Department of Nephrology, Diabetology, and Rheumatology, Traunstein Hospital, Southeast Bavarian Clinics, Traunstein, Germany.; KfH Kidney Center Traunstein, Traunstein, Germany., Eckardt KU; Department of Nephrology and Medical Intensive Care, Charité University Medicine Berlin, Berlin, Germany.; Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany., Heerspink HL; Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands., Jung B; Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany.; Department of Nephrology, Diabetology, and Rheumatology, Traunstein Hospital, Southeast Bavarian Clinics, Traunstein, Germany.; KfH Kidney Center Traunstein, Traunstein, Germany., Mayer G; Department of Internal Medicine IV-Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria., Meiselbach H; Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany., Schmid M; Institute of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany., Schultheiss UT; Institute of Genetic Epidemiology and Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany., Heinze G; Center for Medical Data Science, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria., Oberbauer R; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria. |
| Corporate Authors: | BEAt-DKD Consortium |
| Source: | JAMA network open [JAMA Netw Open] 2023 Apr 03; Vol. 6 (4), pp. e231870. Date of Electronic Publication: 2023 Apr 03. |
| Publication Type: | Journal Article; Research Support, Non-U.S. Gov't |
| Journal Info: | Publisher: American Medical Association Country of Publication: United States NLM ID: 101729235 Publication Model: Electronic Cited Medium: Internet ISSN: 2574-3805 (Electronic) Linking ISSN: 25743805 NLM ISO Abbreviation: JAMA Netw Open Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
|
Full text is not displayed to guests.
Login for full access.
|
|
| ISSN: | 2574-3805 |
|---|---|
| DOI: | 10.1001/jamanetworkopen.2023.1870 |
