Predictive value of TyG-BMI, CTI, and SII in identifying metabolic dysfunction-associated steatotic liver disease among patients with type 2 diabetes mellitus
Yue Chen, Yayu Lai, Qu Xiang, Li Fan, Xingyu Chen, Jin Gao, Qingfeng Cheng, Xu Luo · 2026
Read Predictive value of TyG-BMI, CTI, and SII in identifying metabolic dysfunction-associated steatotic liver disease among patients with type 2 diabetes mellitus by Yue Chen, Yayu Lai, Qu Xiang, Li Fan, Xingyu Chen, Jin Gao, Qingfeng Cheng, Xu Luo (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-13194478.txt.
Description
Yue Chen and co-authors test three simple index scores for spotting fatty liver disease in people with type 2 diabetes. Their 2026 study covers a liver condition tied to metabolic problems, now a major companion illness for diabetes patients. Each index is built from routine measures like blood fats, sugar, body mass, and inflammation.
The team studied close to eight hundred hospital patients with diabetes, about a third of whom had the liver disease. They tested each index alone and in combination, using standard accuracy curves. They also checked whether adding an index truly improved sorting beyond other factors. Cheap, lab-based screening matters because imaging every diabetes patient is costly. The study offers a way to flag which patients most need liver checks.
Catalog record
| CREATOR | Yue Chen, Yayu Lai, Qu Xiang, Li Fan, Xingyu Chen, Jin Gao, Qingfeng Cheng, Xu Luo |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 36 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |