From metabolic syndrome to survival: a prognostic model for PDAC incorporating insulin resistance markers and pathological variables
Tao Zhang, Xue Li, Yingli Guo, Junsong Zeng, Maosen Xu, Tingting Wang · 2026
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Description
Tao Zhang and co-authors forecast survival after pancreatic cancer surgery in a 2026 study. Five hundred six patients who had curative operations were followed. The team built three risk models: clinical factors alone, pathology alone, and both combined with metabolic markers, notably a triglyceride-glucose index of insulin resistance.
The combined model won, sorting patients with solid accuracy at one and three years. The metabolic index was the strongest single predictor in every model. Its weight shifted with cancer stage, as did body mass and albumin effects. Readers get a practical survival calculator with a metabolic accent.
Catalog record
| CREATOR | Tao Zhang, Xue Li, Yingli Guo, Junsong Zeng, Maosen Xu, Tingting Wang |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |