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Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma

BACKGROUND: Renal cell carcinoma (RCC) of stage T1a has been proven to be of low‐grade malignancy and mostly affects elderly individuals with relatively limited life expectancy. However, research on the survival benefit of surgery relative to non‐surgical treatment (NST) is limited. The aim of the s...

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Autores principales: Tang, Yaxiong, Wu, Kan, Hu, Xu, Liu, Yang, Yang, Weixiao, Li, Xiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134256/
https://www.ncbi.nlm.nih.gov/pubmed/36629133
http://dx.doi.org/10.1002/cam4.5580
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author Tang, Yaxiong
Wu, Kan
Hu, Xu
Liu, Yang
Yang, Weixiao
Li, Xiang
author_facet Tang, Yaxiong
Wu, Kan
Hu, Xu
Liu, Yang
Yang, Weixiao
Li, Xiang
author_sort Tang, Yaxiong
collection PubMed
description BACKGROUND: Renal cell carcinoma (RCC) of stage T1a has been proven to be of low‐grade malignancy and mostly affects elderly individuals with relatively limited life expectancy. However, research on the survival benefit of surgery relative to non‐surgical treatment (NST) is limited. The aim of the study was to investigate the survival difference between partial nephrectomy (PN) and NST and to establish a benefit stratification model for elderly patients (≥70 years) diagnosed with T1a RCC. PATIENTS AND METHODS: Patients diagnosed with non‐metastatic T1a RCC who received PN or NST were identified from the SEER database during 2004–2015. Before survival analysis, propensity score matching (PSM) was performed. Overall survival (OS) was estimated by the Kaplan–Meier method, and subgroup analyses were used to identify favorable factors of PN. Independent factors of survival were recognized by multivariate Cox regression analysis. RESULTS: Patients diagnosed with non‐metastatic T1a RCC who received PN or NST were identified from the SEER database during 2004–2015. Before survival analysis, propensity score matching (PSM) was performed. Overall survival (OS) was estimated by the Kaplan–Meier method, and subgroup analyses were used to identify favorable factors of PN. Independent factors of survival were recognized by multivariate Cox regression analysis. CONCLUSIONS: Our findings suggest that the survival benefit of PN could be stratified based on the clinical characteristics in patients with stage T1a RCC aged 70 years or older, which may help physicians and patients optimize clinical decisions.
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spelling pubmed-101342562023-04-28 Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma Tang, Yaxiong Wu, Kan Hu, Xu Liu, Yang Yang, Weixiao Li, Xiang Cancer Med RESEARCH ARTICLES BACKGROUND: Renal cell carcinoma (RCC) of stage T1a has been proven to be of low‐grade malignancy and mostly affects elderly individuals with relatively limited life expectancy. However, research on the survival benefit of surgery relative to non‐surgical treatment (NST) is limited. The aim of the study was to investigate the survival difference between partial nephrectomy (PN) and NST and to establish a benefit stratification model for elderly patients (≥70 years) diagnosed with T1a RCC. PATIENTS AND METHODS: Patients diagnosed with non‐metastatic T1a RCC who received PN or NST were identified from the SEER database during 2004–2015. Before survival analysis, propensity score matching (PSM) was performed. Overall survival (OS) was estimated by the Kaplan–Meier method, and subgroup analyses were used to identify favorable factors of PN. Independent factors of survival were recognized by multivariate Cox regression analysis. RESULTS: Patients diagnosed with non‐metastatic T1a RCC who received PN or NST were identified from the SEER database during 2004–2015. Before survival analysis, propensity score matching (PSM) was performed. Overall survival (OS) was estimated by the Kaplan–Meier method, and subgroup analyses were used to identify favorable factors of PN. Independent factors of survival were recognized by multivariate Cox regression analysis. CONCLUSIONS: Our findings suggest that the survival benefit of PN could be stratified based on the clinical characteristics in patients with stage T1a RCC aged 70 years or older, which may help physicians and patients optimize clinical decisions. John Wiley and Sons Inc. 2023-01-11 /pmc/articles/PMC10134256/ /pubmed/36629133 http://dx.doi.org/10.1002/cam4.5580 Text en © 2023 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle RESEARCH ARTICLES
Tang, Yaxiong
Wu, Kan
Hu, Xu
Liu, Yang
Yang, Weixiao
Li, Xiang
Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma
title Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma
title_full Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma
title_fullStr Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma
title_full_unstemmed Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma
title_short Survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with T1a renal cell carcinoma
title_sort survival benefit stratification of partial nephrectomy versus non‐surgical treatment in elderly patients with t1a renal cell carcinoma
topic RESEARCH ARTICLES
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10134256/
https://www.ncbi.nlm.nih.gov/pubmed/36629133
http://dx.doi.org/10.1002/cam4.5580
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