Real-World Survival Comparisons Between Radiotherapy and Surgery for Metachronous Second Primary Lung Cancer and Predictions of Lung Cancer–Specific Outcomes Using Machine Learning: Population-Based Study

Autor: Yue Zheng, Ailin Zhao, Yuqi Yang, Laduona Wang, Yifei Hu, Ren Luo, Yijun Wu
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: JMIR Cancer, Vol 10, p e53354 (2024)
Druh dokumentu: article
ISSN: 2369-1999
DOI: 10.2196/53354
Popis: BackgroundMetachronous second primary lung cancer (MSPLC) is not that rare but is seldom studied. ObjectiveWe aim to compare real-world survival outcomes between different surgery strategies and radiotherapy for MSPLC. MethodsThis retrospective study analyzed data collected from patients with MSPLC between 1988 and 2012 in the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (PSM) analyses and machine learning were performed to compare variables between patients with MSPLC. Survival curves were plotted using the Kaplan-Meier method and were compared using log-rank tests. ResultsA total of 2451 MSPLC patients were categorized into the following treatment groups: 864 (35.3%) received radiotherapy, 759 (31%) underwent surgery, 89 (3.6%) had surgery plus radiotherapy, and 739 (30.2%) had neither treatment. After PSM, 470 pairs each for radiotherapy and surgery were generated. The surgery group had significantly better survival than the radiotherapy group (P
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