ArticleJournal of thoracic disease2026
A prognostic nomogram for oligometastatic non-small cell lung cancer incorporating extent of primary tumor resection as a key predictor.
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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9 authors.
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Abstract
Background: The optimal extent of surgical resection for oligometastatic non-small cell lung cancer (NSCLC) remains controversial. This study aimed to evaluate the impact of lobectomy versus sublobar resection on survival and to develop a prognostic nomogram for this patient population. Methods: This study retrospectively analyzed data from the Surveillance, Epidemiology, and End Results (SEER) database [2010-2019] for patients with stage IV NSCLC who had a single metastatic site. We used propensity score matching (PSM) to balance covariates. The Kaplan-Meier method was employed to estimate survival, with comparisons made via the log-rank test. A prognostic nomogram was built using a Cox model and its performance was checked with area under the receiver operating characteristic (AUC) curves and calibration plots. Results: Following PSM, undergoing surgery on the primary tumor was linked to better overall survival (OS) and cancer-specific survival (CSS). In the surgical group, lobectomy was associated with a significantly longer median OS (28 Conclusions: In our large, population-based analysis, lobectomy showed a clear survival advantage over sublobar resection for individuals with oligometastatic NSCLC. Furthermore, our validated nomogram serves as a dependable instrument for estimating individual patient outcomes and guiding treatment choices.
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