ArticleOncotarget2016
Impact of age on the survival of pediatric leukemia: an analysis of 15083 children in the SEER database.
Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- Territorial Socioeconomic Vulnerability and Clinical Outcomes in Pediatric Cancer at a Colombian Referral Center.Children (Basel, Switzerland) · 2026Article
- A Novel Approach to Prognostic Factors and Risk Stratification in Pediatric AML: Case Report and Literature Review.International journal of molecular sciences · 2025Review
- Review
- Prognosis of different types of acute infection in the first episode of childhood acute leukemia.Frontiers in pediatrics · 2025Article
- An Interpretable Machine Learning Framework for Rare Disease: A Case Study to Stratify Infection Risk in Pediatric Leukemia.Journal of clinical medicine · 2024Article
- Missing the mark? Exploratory analysis of the 10-year-old cutoff as an independent marker of high-risk disease in pediatric B-ALL.Pediatric blood & cancer · 2024Article
- Untargeted metabolomics of newborn dried blood spots reveals sex-specific associations with pediatric acute myeloid leukemia.Leukemia research · 2021Article
- Dual Mechanisms of Metabolism and Gene Expression of the CCRF-CEM Leukemia Cells under Glucocorticoid Treatment.International journal of molecular sciences · 2021Article
- Role of Vitamin D deficiency and mRNA expression of VDR and RXR in haematological cancers.Molecular biology reports · 2021Article
- Article
- Clinical Impact of Genomic Information in Pediatric Leukemia.Frontiers in pediatrics · 2017Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND &
aimsAge 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.
methodsIn 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.
resultsThere 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.
conclusionsAge at diagnosis remained to be a crucial determinant of the survival variability of pediatric leukemia patients.
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