Five-year survival rate of pediatric leukemia and its determinants

Author(s):
Sohila ZareifarSohila Zareifar1, Amir Almasi-HashianiAmir Almasi-HashianiAmir Almasi-Hashiani ORCID2,*, Mehran KarimiMehran Karimi1, hamidreza tabatabaeehamidreza tabatabaeehamidreza tabatabaee ORCID3, Reza GhiasvandReza Ghiasvand4
1Dep. of pediatrics, Hematology Research Center, Shiraz University of Medical Sciences, Shiraz, Iran
2Dep. of Biostatistics and Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran
3Dep. of Epidemiology, School of Health and Nutrition, Shiraz University of Medical Sciences, Shiraz, Iran
4Cancer Research Center, Cancer Institute of Iran, Tehran University of Medical Sciences, Tehran, Iran
*Corresponding Author: Dep. of Biostatistics and Epidemiology, School of Health, Arak University of Medical Sciences, Arak, Iran Email: [email protected]

Koomesh:Vol. 14, issue 1; e153844
Published online:Feb 20, 2012
Article type:Research Article
How to Cite:Zareifar S, Almasi-Hashiani A, Karimi M, tabatabaee H, Ghiasvand R. Five-year survival rate of pediatric leukemia and its determinants. koomesh. 2012;14(1):e153844. doi:

Abstract

Introduction: Leukemia is the most prevalent cancer among children that its survival rate varies in different parts of the world. The aim of the present study was to estimate five-year survival rate of acute pediatric leukemia including acute lymphoblastic leukemia (ALL) and acute myeloblastic leukemia (AML) and then to reveal its determinants among a group of 15 years old children visiting Shiraz ShahidFaghihi hospital from 2004 to 2008.   Materials and Methods: In a retrospective cohort study, to measure survival rate, all of the diagnosed patients with ALL and MLL (280 patients) were entered into analysis. The required data were obtained from patients registered files. To conduct analyses, Kaplan-Meyer and ordinal logarithm methods were used. Modeling of data was undertaken using by SPSS software and Cox regression method.   Results: The average follow-up period was about 28.2±16.1 months (range: 6.4-67.4) during which 60 patients (24.7%) (47 ALL cases and 15 MLL cases) passed away. Cumulative five-year survival rate was estimated to be 53.3±0.055 percent. Cox regression model revealed that there was a significant relationship between Platelet count and number of elapses with leukemia survival rate.   Conclusion: Our study showed that platelet count and number of relapses are effective factors on leukemia patients' survival. Thus, to extend the survival of these patients, these factors should be counted on.

Copyright

© 2012, Author(s). This open-access article is available under the Creative Commons Attribution 4.0 (CC BY 4.0) International License (https://creativecommons.org/licenses/by/4.0/), which allows for unrestricted use, distribution, and reproduction in any medium, provided that the original work is properly cited.

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