Discussion
NSCLC, tumor, Tumor, lung cancer, tumors
NON-SMALL CELL LUNG CANCER, TUMOR, METASTASIS, TUMOR, LYMPH NODE METASTASES, LUNG CANCER, NSCLC, PRIMARY TUMOR, TUMORS
IPM is a heterogeneous category in NSCLC and survival outcomes can be affected by various factors [Our data suggest that patients over 65 years old have a worse prognosis, which is consistent with other studies on lung cancer [Tumor size is a well-known prognostic factor for NSCLC, and larger tumors have a greater risk of invasion and distant metastasis. In our study, we subdivided primary tumor size into four categories to facilitate statistical analysis by nomogram. We found that primary tumor size was an independent prognostic factor for NSCLC with IPM, with patients having a primary tumor size of ≤ 3 cm having better overall survival (The status of lymph node metastases, as reflected by the N status, is a critical prognostic factor for NSCLC. Lee et al. [Pulmonary resection with lymph node removal is the standard treatment for NSCLC [Tumor histology, specifically the degree of differentiation of tumor tissue, is another important factor affecting prognosis. Sun et al. [In terms of treatment for surgically treated patients, chemotherapy is indicated for those with stage II and IIIa non-small cell lung cancer. Salazar et al. [In our study, we meticulously incorporated several independent prognostic factors, including age, sex, primary tumor size, N status, number of regional lymph nodes removed, tumor grade, and chemotherapy, into the construction of our nomogram. To assess its clinical utility, we rigorously evaluated the nomogram's performance using various metrics such as the C-index, calibration curves, ROC curves, and AUC. These comprehensive evaluations consistently demonstrated that our nomogram exhibits exceptional accuracy, discrimination, and practicality when it comes to predicting overall survival. It's worth noting that recent work by Wang et al. [Our study has several limitations worth noting. Firstly, due to the retrospective nature of our research, there is a potential for selection bias, and certain crucial variables, such as the size and number of separate tumor nodules, were lacking in the SEER database. It is important to highlight that these variables have not consistently demonstrated significant prognostic associations in the literature [