Development, validation, and visualization of a web-based nomogram for predicting chronic kidney disease incidence at health examination centers
Our web-based nomogram accurately predicted CKD risks in Chinese health individuals and can be easily used in clinical settings.
Authors
- Juan Jin (ORCID: https://orcid.org/0000-0003-2725-8098)
- Qiang He (ORCID: https://orcid.org/0000-0003-3811-8226)
- Chuxuan Luo (ORCID: https://orcid.org/0000-0003-2662-2265)
- Bo Lin (ORCID: https://orcid.org/0000-0002-8153-0972)
- Lanjun Fu (ORCID: https://orcid.org/0000-0002-0392-145X)
- Lina Shao (ORCID: https://orcid.org/0000-0002-6650-1698)
- Yiwen Li (ORCID: https://orcid.org/0000-0002-7390-6992)
- Lin Liu (ORCID: https://orcid.org/0000-0002-7192-1603)
- Bin Zhu (ORCID: https://orcid.org/0000-0003-1802-4951)
- Maosheng Chen (ORCID: https://orcid.org/0000-0003-3784-4381)
- Kunliang Chen
Institutions
- Zhejiang Chinese Medical University (CN)
- Wenzhou Medical University (CN)
- Zhejiang Provincial People's Hospital (CN)
- Zhejiang Taizhou Hospital (CN)
- Hangzhou Medical College (CN)
Publication Details
- Journal
- Renal Failure
- Published
- 2024-10-08
- DOI
- https://doi.org/10.1080/0886022x.2024.2398183
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- Medical Science and Technology Project of Zhejiang Province