Recognising, quantifying and accounting for classification uncertainty in type 2 diabetes subtypes
Despite continued interest in precision diagnostics and type 2 diabetes subtypes, the challenge of uncertainty in the classification of individuals into subtypes remains. This study introduces a novel method for quantifying and accounting for classification uncertainty in type 2 diabetes subtypes.
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Article (Journal) |
| Language: | English |
| Published: |
25 July 2025
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| In: |
Diabetologia
Year: 2025, Volume: 68, Issue: 10, Pages: 2139-2150 |
| ISSN: | 1432-0428 |
| DOI: | 10.1007/s00125-025-06486-4 |
| Online Access: | Verlag, kostenfrei, Volltext: https://doi.org/10.1007/s00125-025-06486-4 Verlag, kostenfrei, Volltext: https://link.springer.com/article/10.1007/s00125-025-06486-4 |
| Author Notes: | Tim Mori, Oana P. Zaharia, Klaus Straßburger, John M. Dennis, Knut Mai, Stefan Kabisch, Stefan Bornstein, Julia Szendroedi, Matthias Blüher, Svenja Meyhöfer, Jochen Seissler, Andreas Birkenfeld, Norbert Stefan, Michael Roden, Robert Wagner, Oliver Kuß, Hadi Al-Hasani, Bengt Frederik Belgardt, Gidon J. Bönhof, Gerd Geerling, Christian Herder, Andrea Icks, Karin Jandeleit-Dahm, Jorg Kotzka, Eckhard Lammert, Wolfgang Rathmann, Sabrina Schlesinger, Vera Schrauwen-Hinderling, Sandra Trenkamp, and the GDS Group |
| Summary: | Despite continued interest in precision diagnostics and type 2 diabetes subtypes, the challenge of uncertainty in the classification of individuals into subtypes remains. This study introduces a novel method for quantifying and accounting for classification uncertainty in type 2 diabetes subtypes. |
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| Item Description: | Gesehen am 16.12.2025 |
| Physical Description: | Online Resource |
| ISSN: | 1432-0428 |
| DOI: | 10.1007/s00125-025-06486-4 |