Development and validation of an early risk prediction model based on inflammatory and metabolically derived markers for early diagnosis of diabetic kidney disease
Xu Liu, Wanting Zhao, Yu Fu, Yan Yu, Min Chen, Yimin Yao, Ying Yu · 2026
Read Development and validation of an early risk prediction model based on inflammatory and metabolically derived markers for early diagnosis of diabetic kidney disease by Xu Liu, Wanting Zhao, Yu Fu, Yan Yu, Min Chen, Yimin Yao, Ying Yu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13237094.txt.
Description
Diabetic kidney disease creeps up silently, and standard tests catch it late. Xu Liu and co-authors built an early-warning model in this 2026 study. The model reads markers drawn from inflammation and metabolism. Data came from two hospitals of traditional Chinese medicine in Zhejiang.
Records covered people newly diagnosed with diabetes and patients with biopsy-proven kidney disease. Two hundred nine cases trained the model; forty-two more validated it from outside. Screening steps narrowed the marker list before several learning algorithms competed. The best model was checked for precision in spotting early disease. Cheap blood markers could flag risk years before symptoms. Earlier flags mean earlier treatment to slow kidney loss.
Catalog record
| CREATOR | Xu Liu, Wanting Zhao, Yu Fu, Yan Yu, Min Chen, Yimin Yao, Ying Yu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 51 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |