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Long-term survival trend after primary total laryngectomy for patients with locally advanced laryngeal carcinoma

Purpose: To evaluate long-term survival trends after primary total laryngectomy (TL) for locally advanced laryngeal carcinoma (LC). Methods: A total of 2094 patients diagnosed with locally advanced LC and underwent primary TL (1992-2011, at least 5-year follow-up) in the Surveillance, Epidemiology,...

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Detalles Bibliográficos
Autores principales: Lin, Zhongyang, Lin, Hanqing, Chen, Yuqing, Xu, Yuanteng, Chen, Xihang, Fan, Hui, Wu, Xiaobo, Ke, Xiaoying, Lin, Chang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797640/
https://www.ncbi.nlm.nih.gov/pubmed/33442420
http://dx.doi.org/10.7150/jca.50404
Descripción
Sumario:Purpose: To evaluate long-term survival trends after primary total laryngectomy (TL) for locally advanced laryngeal carcinoma (LC). Methods: A total of 2094 patients diagnosed with locally advanced LC and underwent primary TL (1992-2011, at least 5-year follow-up) in the Surveillance, Epidemiology, and End Results (SEER) database were included in this study. Besides the traditional overall survival (OS) and cancer-specific survival (CSS) by using Kaplan-Meier curves, the 3-year conditional survival analysis was also performed to describe the long-term trends in these patients. Time-dependent multivariate competing-risk models were constructed to assess the persistent sub-distribution hazard of prognostic factors. Finally, a nomogram was developed to predict conditional cancer-specific survival. Results: The curves of overall hazard and cancer-specific hazard both quickly reached the apex within the first year since TL, then decreased thereafter. In general, the CS3 steadily increased from within 5 years after TL. In the stratified CS3 analysis, the increments in patients with adverse characteristics were more pronounced. 4 years after TL, the probability of surviving the next year exceeded 90%. The time-dependent multivariate competing-risk models indicated that age and lymph node ratio (LNR) persistently contributed to the cancer-specific outcome. The nomogram based on the competing-risk model was constructed to estimate CSS probability conditional upon 3 years for advanced LC patients having survived 1, 2, and 3 years. Conclusion: Most patients achieved a substantially improved survival rate after surviving a long period after primary TL. Patients diagnosed at older age and with higher LNR should receive more effective follow-up. The predictive nomogram can provide significant evidence for clinical research and practice.