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Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database

BACKGROUND & AIMS: Age at diagnosis is a key factor for predicting the prognosis of pediatric leukemia especially regarding the survivorship assessment. In this study, we aimed to assess the impact of this prognostic factor such as age in children with pediatric leukemia. METHODS: In this study,...

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Autores principales: Wang, Yaping, Huang, Jie, Rong, Liucheng, Wu, Peng, Kang, Meiyun, Zhang, Xuejie, Lu, Qin, Fang, Yongjun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Impact Journals LLC 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5347803/
https://www.ncbi.nlm.nih.gov/pubmed/27590519
http://dx.doi.org/10.18632/oncotarget.11765
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author Wang, Yaping
Huang, Jie
Rong, Liucheng
Wu, Peng
Kang, Meiyun
Zhang, Xuejie
Lu, Qin
Fang, Yongjun
author_facet Wang, Yaping
Huang, Jie
Rong, Liucheng
Wu, Peng
Kang, Meiyun
Zhang, Xuejie
Lu, Qin
Fang, Yongjun
author_sort Wang, Yaping
collection PubMed
description BACKGROUND & AIMS: Age at diagnosis is a key factor for predicting the prognosis of pediatric leukemia especially regarding the survivorship assessment. In this study, we aimed to assess the impact of this prognostic factor such as age in children with pediatric leukemia. METHODS: In this study, Surveillance, Epidemiology, and End Results Program-registered children with leukemia during 1988-2013 were analyzed. All patients were divided into five groups according to the age at the time of diagnosis (<1, 1-4, 5-9, 10-15, >15 years old). Kaplan-Meier and multivariable Cox regression models were used to evaluate leukemia survival outcomes and risk factors. RESULTS: There was significant variability in pediatric leukemia survival by age at diagnosis including ALL, AML and CML subtypes. According to the survival curves in each group, survival rate were peaked among children diagnosed at 1–4 years and steadily declined among those diagnosed at older ages in children with ALL. Infants (<1 year) had the lowest survivorship in children with either ALL or AML. However, children (1-4 years) harbored the worst prognosis suffering from CML. A stratified analysis of the effect of age at diagnosis was validated as independent predictors for the prognosis of pediatric leukemia. CONCLUSIONS: Age at diagnosis remained to be a crucial determinant of the survival variability of pediatric leukemia patients.
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spelling pubmed-53478032017-03-31 Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database Wang, Yaping Huang, Jie Rong, Liucheng Wu, Peng Kang, Meiyun Zhang, Xuejie Lu, Qin Fang, Yongjun Oncotarget Clinical Research Paper BACKGROUND & AIMS: Age at diagnosis is a key factor for predicting the prognosis of pediatric leukemia especially regarding the survivorship assessment. In this study, we aimed to assess the impact of this prognostic factor such as age in children with pediatric leukemia. METHODS: In this study, Surveillance, Epidemiology, and End Results Program-registered children with leukemia during 1988-2013 were analyzed. All patients were divided into five groups according to the age at the time of diagnosis (<1, 1-4, 5-9, 10-15, >15 years old). Kaplan-Meier and multivariable Cox regression models were used to evaluate leukemia survival outcomes and risk factors. RESULTS: There was significant variability in pediatric leukemia survival by age at diagnosis including ALL, AML and CML subtypes. According to the survival curves in each group, survival rate were peaked among children diagnosed at 1–4 years and steadily declined among those diagnosed at older ages in children with ALL. Infants (<1 year) had the lowest survivorship in children with either ALL or AML. However, children (1-4 years) harbored the worst prognosis suffering from CML. A stratified analysis of the effect of age at diagnosis was validated as independent predictors for the prognosis of pediatric leukemia. CONCLUSIONS: Age at diagnosis remained to be a crucial determinant of the survival variability of pediatric leukemia patients. Impact Journals LLC 2016-08-31 /pmc/articles/PMC5347803/ /pubmed/27590519 http://dx.doi.org/10.18632/oncotarget.11765 Text en Copyright: © 2016 Wang et al. http://creativecommons.org/licenses/by/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Clinical Research Paper
Wang, Yaping
Huang, Jie
Rong, Liucheng
Wu, Peng
Kang, Meiyun
Zhang, Xuejie
Lu, Qin
Fang, Yongjun
Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
title Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
title_full Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
title_fullStr Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
title_full_unstemmed Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
title_short Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
title_sort impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the seer database
topic Clinical Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5347803/
https://www.ncbi.nlm.nih.gov/pubmed/27590519
http://dx.doi.org/10.18632/oncotarget.11765
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