Prediction model on disease recurrence for low risk resected stage I lung adenocarcinoma

Although stage I non‐small cell lung carcinoma (NSCLC) typically carries a good prognosis following complete resection, early disease recurrence can occur. An accurate survival prediction model would help refine a follow‐up strategy and personalize future adjuvant therapy. This study developed a post‐operative prediction model based on readily available clinical information for patients with stage I adenocarcinoma. Non‐smoker status, stage IA disease, epidermal growth factor receptor mutants and female gender were associated with better DFS. The model could categorize post‐operative patients using readily available clinical information and may help personalize a follow‐up strategy and future adjuvant therapy.