Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
- PMID: 27590519
- PMCID: PMC5347803
- DOI: 10.18632/oncotarget.11765
Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database
Abstract
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.
Keywords: Kaplan-Meier; age; epidemiology; leukemia; surveillance.
Conflict of interest statement
The authors declare that they have no financial conflict of interest
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