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Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study

Previous studies have identified potential risk factors for pulmonary carcinoid tumors and evaluated the effect of various treatments; however, the results were not entirely consistent. We conducted a population‐based study to further explore relevant prognostic issues. We extracted cases with pulmo...

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Autores principales: Huang, Yiwei, Yang, Xiaodong, Lu, Tao, Li, Ming, Zhao, Mengnan, Yang, Xingyu, Ma, Ke, Wang, Shuai, Zhan, Cheng, Liu, Yu, Wang, Qun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010747/
https://www.ncbi.nlm.nih.gov/pubmed/29733505
http://dx.doi.org/10.1002/cam4.1515
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author Huang, Yiwei
Yang, Xiaodong
Lu, Tao
Li, Ming
Zhao, Mengnan
Yang, Xingyu
Ma, Ke
Wang, Shuai
Zhan, Cheng
Liu, Yu
Wang, Qun
author_facet Huang, Yiwei
Yang, Xiaodong
Lu, Tao
Li, Ming
Zhao, Mengnan
Yang, Xingyu
Ma, Ke
Wang, Shuai
Zhan, Cheng
Liu, Yu
Wang, Qun
author_sort Huang, Yiwei
collection PubMed
description Previous studies have identified potential risk factors for pulmonary carcinoid tumors and evaluated the effect of various treatments; however, the results were not entirely consistent. We conducted a population‐based study to further explore relevant prognostic issues. We extracted cases with pulmonary carcinoid tumors from the Surveillance Epidemiology and End Results database. Cox proportional hazard regression was utilized to identify potential significant risk factors, which helped establish a nomogram for predicting long‐term survival. Survival analysis and a competing risk study were conducted to evaluate the value of different surgical approaches. There were 7057 cases included in the study. Univariate and multivariate analyses showed that age, sex, tumor size, stage, histology, surgical type, chemotherapy, and radiation therapy were all significant prognostic factors. A nomogram with good accuracy for predicting 10‐year survival was formulated. Furthermore, patients who had undergone surgery had a significantly better survival than those who did not undergo surgery. There was no significant prognostic difference between lobectomy and sublobectomy stratified by tumor stage; however, lobectomy was associated with a significantly better survival in atypical tumors, especially those with regional disease. Our research identified possible risk factors in a large cohort and constructed a nomogram to visually predict 10‐year survival of pulmonary carcinoid tumors. We showed that lobectomy and sublobectomy should be considered as the mainstay of treatment, especially lobectomies for atypical tumor.
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spelling pubmed-60107472018-06-27 Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study Huang, Yiwei Yang, Xiaodong Lu, Tao Li, Ming Zhao, Mengnan Yang, Xingyu Ma, Ke Wang, Shuai Zhan, Cheng Liu, Yu Wang, Qun Cancer Med Clinical Cancer Research Previous studies have identified potential risk factors for pulmonary carcinoid tumors and evaluated the effect of various treatments; however, the results were not entirely consistent. We conducted a population‐based study to further explore relevant prognostic issues. We extracted cases with pulmonary carcinoid tumors from the Surveillance Epidemiology and End Results database. Cox proportional hazard regression was utilized to identify potential significant risk factors, which helped establish a nomogram for predicting long‐term survival. Survival analysis and a competing risk study were conducted to evaluate the value of different surgical approaches. There were 7057 cases included in the study. Univariate and multivariate analyses showed that age, sex, tumor size, stage, histology, surgical type, chemotherapy, and radiation therapy were all significant prognostic factors. A nomogram with good accuracy for predicting 10‐year survival was formulated. Furthermore, patients who had undergone surgery had a significantly better survival than those who did not undergo surgery. There was no significant prognostic difference between lobectomy and sublobectomy stratified by tumor stage; however, lobectomy was associated with a significantly better survival in atypical tumors, especially those with regional disease. Our research identified possible risk factors in a large cohort and constructed a nomogram to visually predict 10‐year survival of pulmonary carcinoid tumors. We showed that lobectomy and sublobectomy should be considered as the mainstay of treatment, especially lobectomies for atypical tumor. John Wiley and Sons Inc. 2018-05-07 /pmc/articles/PMC6010747/ /pubmed/29733505 http://dx.doi.org/10.1002/cam4.1515 Text en © 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Clinical Cancer Research
Huang, Yiwei
Yang, Xiaodong
Lu, Tao
Li, Ming
Zhao, Mengnan
Yang, Xingyu
Ma, Ke
Wang, Shuai
Zhan, Cheng
Liu, Yu
Wang, Qun
Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
title Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
title_full Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
title_fullStr Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
title_full_unstemmed Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
title_short Assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
title_sort assessment of the prognostic factors in patients with pulmonary carcinoid tumor: a population‐based study
topic Clinical Cancer Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6010747/
https://www.ncbi.nlm.nih.gov/pubmed/29733505
http://dx.doi.org/10.1002/cam4.1515
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