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Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer
The purpose of the current study was to retrospectively assess the effect of postoperative radiotherapy (RT) delay on survival for patients with esophageal cancer. From 2008 to 2011, patients with esophageal cancer who had undergone postoperative RT in five different hospitals in China were reviewed...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132173/ https://www.ncbi.nlm.nih.gov/pubmed/30196238 http://dx.doi.org/10.1016/j.tranon.2018.08.007 |
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author | Wang, Yuanyuan Guan, Shanghui Bi, Yanhong Lin, Sixiang Ma, Jianjun Xing, Qian Liu, Chonghua Zhang, Rui Qu, Zhen Jiang, Peng Chen, Xue Cheng, Yufeng |
author_facet | Wang, Yuanyuan Guan, Shanghui Bi, Yanhong Lin, Sixiang Ma, Jianjun Xing, Qian Liu, Chonghua Zhang, Rui Qu, Zhen Jiang, Peng Chen, Xue Cheng, Yufeng |
author_sort | Wang, Yuanyuan |
collection | PubMed |
description | The purpose of the current study was to retrospectively assess the effect of postoperative radiotherapy (RT) delay on survival for patients with esophageal cancer. From 2008 to 2011, patients with esophageal cancer who had undergone postoperative RT in five different hospitals in China were reviewed. Clinical data, including time interval between surgery to RT, were prospectively collected. Kaplan-Meier method was conducted to estimate the effect of each variable on progression-free survival (PFS) and overall survival (OS), with differences assessed by log-rank test. Univariate Cox proportional-hazards models were performed for both PFS and OS for all assumed predictor variables. Statistically significant predictor variables (P < .05) on univariate analysis were then included in multivariate Cox proportional-hazards models, which were performed to compare the effects of RT delay on PFS and OS. A total of 316 patients were finally enrolled in this prospectively multicentric study. Time to RT after surgery varied from 12 days to over 60 days (median, 26 days). Multivariate analysis showed that delay to RT longer than the median does not appear to be a survival cost. There was also no statistically difference in PFS (P = .513) or OS (P = .236) between patients stratified by quartiles (≤21 days vs ≧35 days). However, patients with particularly long delays (≧42 days) demonstrated a detrimental impact on OS (P = .021) but not PFS (P = .580). Delaying postoperative RT of esophageal cancer does not impact PFS, but results in a significant reduction on OS if delaying longer than 6 weeks. |
format | Online Article Text |
id | pubmed-6132173 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Neoplasia Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-61321732018-09-12 Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer Wang, Yuanyuan Guan, Shanghui Bi, Yanhong Lin, Sixiang Ma, Jianjun Xing, Qian Liu, Chonghua Zhang, Rui Qu, Zhen Jiang, Peng Chen, Xue Cheng, Yufeng Transl Oncol Original article The purpose of the current study was to retrospectively assess the effect of postoperative radiotherapy (RT) delay on survival for patients with esophageal cancer. From 2008 to 2011, patients with esophageal cancer who had undergone postoperative RT in five different hospitals in China were reviewed. Clinical data, including time interval between surgery to RT, were prospectively collected. Kaplan-Meier method was conducted to estimate the effect of each variable on progression-free survival (PFS) and overall survival (OS), with differences assessed by log-rank test. Univariate Cox proportional-hazards models were performed for both PFS and OS for all assumed predictor variables. Statistically significant predictor variables (P < .05) on univariate analysis were then included in multivariate Cox proportional-hazards models, which were performed to compare the effects of RT delay on PFS and OS. A total of 316 patients were finally enrolled in this prospectively multicentric study. Time to RT after surgery varied from 12 days to over 60 days (median, 26 days). Multivariate analysis showed that delay to RT longer than the median does not appear to be a survival cost. There was also no statistically difference in PFS (P = .513) or OS (P = .236) between patients stratified by quartiles (≤21 days vs ≧35 days). However, patients with particularly long delays (≧42 days) demonstrated a detrimental impact on OS (P = .021) but not PFS (P = .580). Delaying postoperative RT of esophageal cancer does not impact PFS, but results in a significant reduction on OS if delaying longer than 6 weeks. Neoplasia Press 2018-09-06 /pmc/articles/PMC6132173/ /pubmed/30196238 http://dx.doi.org/10.1016/j.tranon.2018.08.007 Text en © 2018 The Authors http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Original article Wang, Yuanyuan Guan, Shanghui Bi, Yanhong Lin, Sixiang Ma, Jianjun Xing, Qian Liu, Chonghua Zhang, Rui Qu, Zhen Jiang, Peng Chen, Xue Cheng, Yufeng Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer |
title | Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer |
title_full | Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer |
title_fullStr | Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer |
title_full_unstemmed | Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer |
title_short | Survival Impact of Delaying Postoperative Radiotherapy in Patients with Esophageal Cancer |
title_sort | survival impact of delaying postoperative radiotherapy in patients with esophageal cancer |
topic | Original article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6132173/ https://www.ncbi.nlm.nih.gov/pubmed/30196238 http://dx.doi.org/10.1016/j.tranon.2018.08.007 |
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