Repository of Research and Investigative Information

Repository of Research and Investigative Information

Baqiyatallah University of Medical Sciences

Analyzing Survival Rate of Leukemia Patients Applying Long Term Exponential Model

(2020) Analyzing Survival Rate of Leukemia Patients Applying Long Term Exponential Model. Asian Pac J Cancer Prev. pp. 1539-1543. ISSN 1513-7368 (Print) 1513-7368

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Official URL: http://www.ncbi.nlm.nih.gov/pubmed/32592346

Abstract

BACKGROUND: Making progressin treatment of all branches of cancers has increasedthe percent of patients that never experience the event of interest. These cases are called immune or cure and models for handling the data included cure fraction rate, are referred to as cure model or long-term survival models. METHODS: The data for this historical cohort study, were collected from leukemia patients diagnosed between 2007 to 2014 and followed up until 2016 in Taleghani hospital and received BMT (Bone Marrow Transplant). Some data had to be excluded because of incomplete information. Using recorded files mostly and phone calls rarely, were made to confirm whether the patients were still alive or not. Death due to leukemia was regarded as interested event. Analysis were performed by R version 3.4.1and Stata version 14. RESULTS: Number of recurrents after receiving BMT, pre-transplant Hb and age at diagnosis were found as significant prognostics of survival time. HD patients had the highest 5-years overall survival in category of diagnosis type with 81.3. Cure fraction was estimated to be 64.1. CONCLUSION: According to high percentage of censoring, using long-term model had better fit.

Item Type: Article
Keywords: Adult Bone Marrow Transplantation/*mortality Cohort Studies Female Follow-Up Studies Graft vs Host Disease/*mortality/pathology/therapy Humans Leukemia/*mortality/pathology/therapy Male *Models, Statistical Neoplasm Recurrence, Local/*mortality/pathology/therapy Prognosis Survival Rate *Bmt *Leukemia *Survival Analysis *cure model
Page Range: pp. 1539-1543
Journal or Publication Title: Asian Pac J Cancer Prev
Journal Index: Pubmed
Volume: 21
Number: 6
Identification Number: https://doi.org/10.31557/apjcp.2020.21.6.1539
ISSN: 1513-7368 (Print) 1513-7368
Depositing User: مهندس مهدی شریفی
URI: http://eprints.bmsu.ac.ir/id/eprint/9106

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