Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease.
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| Title: | Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease. |
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| 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 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 37017968 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Gregorich+M%22">Gregorich M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Kammer+M%22">Kammer M</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Heinzel+A%22">Heinzel A</searchLink>; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Böger+C%22">Böger C</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Eckardt+KU%22">Eckardt KU</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Heerspink+HL%22">Heerspink HL</searchLink>; Department of Clinical Pharmacy and Pharmacology, University of Groningen, University Medical Centre Groningen, Groningen, the Netherlands.<br /><searchLink fieldCode="AU" term="%22Jung+B%22">Jung B</searchLink>; 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.<br /><searchLink fieldCode="AU" term="%22Mayer+G%22">Mayer G</searchLink>; Department of Internal Medicine IV-Nephrology and Hypertension, Medical University Innsbruck, Innsbruck, Austria.<br /><searchLink fieldCode="AU" term="%22Meiselbach+H%22">Meiselbach H</searchLink>; Department of Nephrology and Hypertension, Friedrich-Alexander University Erlangen-Nürnberg, Erlangen, Germany.<br /><searchLink fieldCode="AU" term="%22Schmid+M%22">Schmid M</searchLink>; Institute of Medical Biometry, Informatics, and Epidemiology, University Hospital Bonn, Bonn, Germany.<br /><searchLink fieldCode="AU" term="%22Schultheiss+UT%22">Schultheiss UT</searchLink>; Institute of Genetic Epidemiology and Department of Medicine IV-Nephrology and Primary Care, Faculty of Medicine and Medical Center, University of Freiburg, Freiburg, Germany.<br /><searchLink fieldCode="AU" term="%22Heinze+G%22">Heinze G</searchLink>; Center for Medical Data Science, Section for Clinical Biometrics, Medical University of Vienna, Vienna, Austria.<br /><searchLink fieldCode="AU" term="%22Oberbauer+R%22">Oberbauer R</searchLink>; Division of Nephrology and Dialysis, Department of Internal Medicine III, Medical University of Vienna, Vienna, Austria. – Name: AuthorCorporate Label: Corporate Authors Group: Au Data: <searchLink fieldCode="CA" term="%22BEAt-DKD+Consortium%22">BEAt-DKD Consortium</searchLink> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101729235%22">JAMA network open</searchLink> [JAMA Netw Open] 2023 Apr 03; Vol. 6 (4), pp. e231870. <i>Date of Electronic Publication: </i>2023 Apr 03. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article; Research Support, Non-U.S. Gov't – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22American+Medical+Association%22">American Medical Association </searchLink><i>Country of Publication: </i>United States <i>NLM ID: </i>101729235 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>2574-3805 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2225743805%22">25743805 </searchLink><i>NLM ISO Abbreviation: </i>JAMA Netw Open <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=37017968 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1001/jamanetworkopen.2023.1870 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: e231870 Titles: – TitleFull: Development and Validation of a Prediction Model for Future Estimated Glomerular Filtration Rate in People With Type 2 Diabetes and Chronic Kidney Disease. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Gregorich M – PersonEntity: Name: NameFull: Kammer M – PersonEntity: Name: NameFull: Heinzel A – PersonEntity: Name: NameFull: Böger C – PersonEntity: Name: NameFull: Eckardt KU – PersonEntity: Name: NameFull: Heerspink HL – PersonEntity: Name: NameFull: Jung B – PersonEntity: Name: NameFull: Mayer G – PersonEntity: Name: NameFull: Meiselbach H – PersonEntity: Name: NameFull: Schmid M – PersonEntity: Name: NameFull: Schultheiss UT – PersonEntity: Name: NameFull: Heinze G – PersonEntity: Name: NameFull: Oberbauer R IsPartOfRelationships: – BibEntity: Dates: – D: 03 M: 04 Text: 2023 Apr 03 Type: published Y: 2023 Identifiers: – Type: issn-electronic Value: 2574-3805 Numbering: – Type: volume Value: 6 – Type: issue Value: 4 Titles: – TitleFull: JAMA network open Type: main |
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