Clinical characteristics and complication risks in data‐driven clusters among Chinese community diabetes populations
The data-driven approach to differentiating the status of new-onset diabetes in the Chinese community was feasible. Patients in different clusters presented different characteristics and risks of complications.
Authors
- Yiming Mu (ORCID: https://orcid.org/0000-0002-3344-3540)
- Zizhong Yang
- Xulei Tang (ORCID: https://orcid.org/0000-0003-0921-450X)
- Weijun Gu (ORCID: https://orcid.org/0000-0001-8690-645X)
- Xin Zhou (ORCID: https://orcid.org/0000-0002-5026-8959)
- Guang Ning (ORCID: https://orcid.org/0000-0002-5754-7635)
- Yang Liu (ORCID: https://orcid.org/0000-0002-4537-8969)
- Binqi Li (ORCID: https://orcid.org/0000-0002-3995-1538)
- Zhengnan Gao (ORCID: https://orcid.org/0000-0002-0077-8758)
- Weiqing Wang
- Lulu Chen (ORCID: https://orcid.org/0000-0001-9621-9231)
- Qin Wan (ORCID: https://orcid.org/0000-0002-8684-6888)
- Zuojie Luo (ORCID: https://orcid.org/0000-0003-2969-8329)
- Li Yan (ORCID: https://orcid.org/0000-0002-9335-1322)
- Gui-Jun Qin
Institutions
- Sun Yat-sen University (CN)
- Guangxi Medical University (CN)
- Shanghai Jiao Tong University (CN)
- Nankai University (CN)
- Ruijin Hospital (CN)
- Chinese PLA General Hospital (CN)
- Southwest Medical University (CN)
- Sun Yat-sen Memorial Hospital (CN)
- Dalian Municipal Central Hospital (CN)
- First Affiliated Hospital of GuangXi Medical University (CN)
- Wuhan Union Hospital (CN)
- First Affiliated Hospital of Zhengzhou University (CN)
- First Hospital of Lanzhou University (CN)
- Lanzhou University (CN)
Publication Details
- Journal
- Journal of Diabetes
- Published
- 2024-08-01
- DOI
- https://doi.org/10.1111/1753-0407.13596
- Citations
- 8
- Primary Topic
- Metabolism, Diabetes, and Cancer
- Type
- article
- Field-Weighted Citation Impact
- 1.87
Funders
- General Hospital of People’s Liberation Army
- Beijing Municipal Science and Technology Commission