A prediction model for the decline in renal function in people with type 2 diabetes mellitus: study protocol.

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Bibliographic Details
Title: A prediction model for the decline in renal function in people with type 2 diabetes mellitus: study protocol.
Authors: Gregorich M; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, 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., Kammer M; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria.; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria., Meiselbach H; Department of Nephrology and Hypertension, Friedrich-Alexander Universität Erlangen-Nürnberg (FAU), Erlangen, Germany., Böger C; Department of Nephrology, University of Regensburg, University Hospital Regensburg, Regensburg, Germany., Eckardt KU; Department of Nephrology and Medical Intensive Care, Charité Universitätsmedizin Berlin, Berlin, Germany., Mayer G; Department of Internal Medicine IV (Nephrology and Hypertension), Medical University Innsbruck, Innsbruck, Austria., Heinze G; Section for Clinical Biometrics, Center for Medical Statistics, Informatics and Intelligent Systems, Medical University of Vienna, Vienna, Austria., Oberbauer R; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria. rainer.oberbauer@meduniwien.ac.at.
Source: Diagnostic and prognostic research [Diagn Progn Res] 2021 Nov 18; Vol. 5 (1), pp. 19. Date of Electronic Publication: 2021 Nov 18.
Publication Type: Journal Article
Journal Info: Publisher: BioMed Central Country of Publication: England NLM ID: 101718985 Publication Model: Electronic Cited Medium: Internet ISSN: 2397-7523 (Electronic) Linking ISSN: 23977523 NLM ISO Abbreviation: Diagn Progn Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2397-7523
DOI:10.1186/s41512-021-00107-5