Development and validation of a serum inflammatory biomarker-driven machine-learning model for prognostic stratification in surgical limited-stage small cell lung cancer

A machine learning model based on serological inflammatory/nutritional indexes can reasonably estimate the long-term prognosis of SCLC patients and is anticipated to serve as a practical instrument for identifying the ideal candidates for thoracic surgery.