Cargando…
The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis
Acute myeloid leukemia (AML) is the fifth most common malignancy in children, and the prognosis for AML in children remains relatively poor. However, its incidence and survival trends based on a large sample size have not been reported. Children diagnosed with AML between 1975 and 2014 were accessed...
Autores principales: | , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Ivyspring International Publisher
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775523/ https://www.ncbi.nlm.nih.gov/pubmed/31598153 http://dx.doi.org/10.7150/jca.32326 |
_version_ | 1783456270238351360 |
---|---|
author | Chen, Xuanwei Pan, Jianwei Wang, Shuncong Hong, Shandie Hong, Shunrong He, Shaoru |
author_facet | Chen, Xuanwei Pan, Jianwei Wang, Shuncong Hong, Shandie Hong, Shunrong He, Shaoru |
author_sort | Chen, Xuanwei |
collection | PubMed |
description | Acute myeloid leukemia (AML) is the fifth most common malignancy in children, and the prognosis for AML in children remains relatively poor. However, its incidence and survival trends based on a large sample size have not been reported. Children diagnosed with AML between 1975 and 2014 were accessed from the Surveillance, Epidemiology, and End Results database. Incidence and survival trends were evaluated by age-adjusted incidence and relative survival rates (RSRs) and Kaplan-Meier analyses. Cox regression was performed to identify independent risk factors for child AML death. The overall incidence of AML in childhood increased each decade between 1975 and 2014, with the total age-adjusted incidence increasing from 5.766 to 6.615 to 7.478 to 7.607 per 1,000,000 persons. In addition, the relative survival rates of AML in childhood improved significantly, with 5-year RSRs increasing from 22.40% to 39.60% to 55.50% to 68.30% over the past four decades (p < 0.0001). Furthermore, survival disparities among different races and socioeconomic statuses have continued to widen over the past four decades. Multivariate Cox regression analyses showed a higher risk of death in Black patients (HR = 1.245, 95% CI: 1.077-1.438, p = 0.003) with Whites as a reference. These results may help predict future trends for AML in childhood, better design clinical trials by eliminating disparities, and ultimately improve clinical management and outcome. |
format | Online Article Text |
id | pubmed-6775523 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Ivyspring International Publisher |
record_format | MEDLINE/PubMed |
spelling | pubmed-67755232019-10-09 The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis Chen, Xuanwei Pan, Jianwei Wang, Shuncong Hong, Shandie Hong, Shunrong He, Shaoru J Cancer Research Paper Acute myeloid leukemia (AML) is the fifth most common malignancy in children, and the prognosis for AML in children remains relatively poor. However, its incidence and survival trends based on a large sample size have not been reported. Children diagnosed with AML between 1975 and 2014 were accessed from the Surveillance, Epidemiology, and End Results database. Incidence and survival trends were evaluated by age-adjusted incidence and relative survival rates (RSRs) and Kaplan-Meier analyses. Cox regression was performed to identify independent risk factors for child AML death. The overall incidence of AML in childhood increased each decade between 1975 and 2014, with the total age-adjusted incidence increasing from 5.766 to 6.615 to 7.478 to 7.607 per 1,000,000 persons. In addition, the relative survival rates of AML in childhood improved significantly, with 5-year RSRs increasing from 22.40% to 39.60% to 55.50% to 68.30% over the past four decades (p < 0.0001). Furthermore, survival disparities among different races and socioeconomic statuses have continued to widen over the past four decades. Multivariate Cox regression analyses showed a higher risk of death in Black patients (HR = 1.245, 95% CI: 1.077-1.438, p = 0.003) with Whites as a reference. These results may help predict future trends for AML in childhood, better design clinical trials by eliminating disparities, and ultimately improve clinical management and outcome. Ivyspring International Publisher 2019-08-27 /pmc/articles/PMC6775523/ /pubmed/31598153 http://dx.doi.org/10.7150/jca.32326 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions. |
spellingShingle | Research Paper Chen, Xuanwei Pan, Jianwei Wang, Shuncong Hong, Shandie Hong, Shunrong He, Shaoru The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis |
title | The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis |
title_full | The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis |
title_fullStr | The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis |
title_full_unstemmed | The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis |
title_short | The Epidemiological Trend of Acute Myeloid Leukemia in Childhood: a Population-Based Analysis |
title_sort | epidemiological trend of acute myeloid leukemia in childhood: a population-based analysis |
topic | Research Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6775523/ https://www.ncbi.nlm.nih.gov/pubmed/31598153 http://dx.doi.org/10.7150/jca.32326 |
work_keys_str_mv | AT chenxuanwei theepidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT panjianwei theepidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT wangshuncong theepidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT hongshandie theepidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT hongshunrong theepidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT heshaoru theepidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT chenxuanwei epidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT panjianwei epidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT wangshuncong epidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT hongshandie epidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT hongshunrong epidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis AT heshaoru epidemiologicaltrendofacutemyeloidleukemiainchildhoodapopulationbasedanalysis |