Authors: Jiang M, Zhou M.
DOI: 10.3389/fonc.2025.1622821
Abstract Summary
Researchers developed a prognostic model for pancreatic cancer using routine blood markers and clinical data from 500 patients. The model incorporates gender, age, treatment, TNM stage, pathological grade, CEA, CA125, and neutrophil-to-lymphocyte ratio, achieving a C-index of 0.73. This accessible tool could help clinicians better predict survival outcomes in pancreatic cancer patients using readily available laboratory tests.
Why Brain? ðŸ§
New prediction model using blood markers and clinical factors accurately forecasts pancreatic cancer survival with 73% accuracy, offering clinicians a simple tool to guide treatment decisions.
License: CC BY.
The image is AI-generated for illustrative purposes only. Courtesy of Midjourney.
