Literature DB >> 23411044

Regional variations in age at diagnosis and overall survival among patients with chronic myeloid leukemia from low and middle income countries.

Adam M Mendizabal1, Pat Garcia-Gonzalez, Paul H Levine.   

Abstract

INTRODUCTION: The epidemiology of chronic myeloid leukemia (CML) in low and middle income countries is limited. As a result, we analyzed a contemporary cohort of patients from low and middle income countries treated with Imatinib through The Glivec(®) International Patient Assistance Program (GIPAP).
METHODS: Generalized estimating equations (GEE) and Kaplan-Meier estimation were utilized to test for regional variations in age at diagnosis and overall survival among 33,985 patients from 94 countries.
RESULTS: Patients participated from Asia (79.2%), Africa (9.4%), Latin America (8.7%) and Southern/Eastern Europe (2.5%). Sixty-one (61.2%) percent were male. Mean age at diagnosis was 38.5 years (9.4% <20 years and only 4.7% ≥65 years). Using GEE, Asians were youngest (38.3 years), followed by Africans (39.5 years), Southern/Eastern Europeans (41.1 years) and Latin Americans (41.3 years; p < 0.0001). Diagnoses were predominately in chronic stage (78.3%). In 2002, 85.2% of patients had a delay in treatment >1 year; decreasing to 15.5% in 2010 (p < 0.0001). The 3-year overall survival probability was 89.4% (95% CI, 88.9-89.9). In multivariate analysis, risk of death increased among patients 65 years or older at diagnosis (p < 0.0001), time from diagnosis to treatment >1-year (p < 0.0001), diagnoses in the accelerated or blast crisis (p < 0.0001), initial dose of Imatinib >400 mg (p < 0.0001) and among Latin Americans and Africans (p < 0.0001).
CONCLUSION: The GIPAP cohort is the largest series of patients with CML described from low and middle income countries. Differences in age at diagnosis and overall survival exist within and between regions. Additional epidemiological studies should be conducted to assess for possible environmental factors associated with the earlier age at onset.
Copyright © 2013 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2013        PMID: 23411044     DOI: 10.1016/j.canep.2013.01.002

Source DB:  PubMed          Journal:  Cancer Epidemiol        ISSN: 1877-7821            Impact factor:   2.984


  21 in total

Review 1.  The role of observational studies in optimizing the clinical management of chronic myeloid leukemia.

Authors:  Michael J Mauro; Catherine Davis; Teresa Zyczynski; H Jean Khoury
Journal:  Ther Adv Hematol       Date:  2015-02

2.  Meeting the needs of CML patients in resource-poor countries.

Authors:  Hemant Malhotra; Jerald Radich; Pat Garcia-Gonzalez
Journal:  Hematology Am Soc Hematol Educ Program       Date:  2019-12-06

Review 3.  First-line treatment of newly diagnosed elderly patients with chronic myeloid leukemia: current and emerging strategies.

Authors:  Gabriele Gugliotta; Fausto Castagnetti; Michela Apolinari; Sara Pirondi; Michele Cavo; Michele Baccarani; Gianantonio Rosti
Journal:  Drugs       Date:  2014-04       Impact factor: 9.546

4.  Impact of Imatinib on the Fertility of Male Patients with Chronic Myelogenous Leukaemia in the Chronic Phase.

Authors:  Xiaohui Chang; Lin Zhou; Xiaoxia Chen; Baoli Xu; Yubin Cheng; Shujun Sun; Meiyun Fang; Yang Xiang
Journal:  Target Oncol       Date:  2017-12       Impact factor: 4.493

5.  Comparative Assessment of Echocardiographic Patterns Among Chronic Myeloid Leukemia Patients on Tyrosine Kinase Inhibitor and Healthy Controls.

Authors:  Abayomi O Bamgboje; Muheez A Durosinmi; Tuoyo O Mene-Afejuku; Micheal O Fagbayimu; Olusola Fajobi; Michael O Balogun
Journal:  Vasc Health Risk Manag       Date:  2022-02-15

6.  Geographic and income variations in age at diagnosis and incidence of chronic myeloid leukemia.

Authors:  Adam M Mendizabal; Naji Younes; Paul H Levine
Journal:  Int J Hematol       Date:  2015-11-07       Impact factor: 2.490

7.  Assessment of Dasatinib Versus Nilotinib as Upfront Therapy for Chronic Phase of Chronic Myeloid Leukemia in Qatar: A Cost-Effectiveness Analysis.

Authors:  Ahmad Adel; Dina Abushanab; Anas Hamad; Mohammad Abdulla; Mohamed Izham; Mohamed Yassin
Journal:  Cancer Control       Date:  2021 Jan-Dec       Impact factor: 3.302

8.  Determinants of Overall and Progression-Free Survival of Nigerian Patients with Philadelphia-Positive Chronic Myeloid Leukemia.

Authors:  Anthony A Oyekunle; Rahman A Bolarinwa; Adesola T Oyelese; Lateef Salawu; Muheez A Durosinmi
Journal:  Adv Hematol       Date:  2015-09-07

9.  Phase 3 study of nilotinib vs imatinib in Chinese patients with newly diagnosed chronic myeloid leukemia in chronic phase: ENESTchina.

Authors:  Jianxiang Wang; Zhi-Xiang Shen; Giuseppe Saglio; Jie Jin; He Huang; Yu Hu; Xin Du; Jianyong Li; Fanyi Meng; Huanling Zhu; Jianda Hu; Jianmin Wang; Ming Hou; Sabine Hertle; Hans D Menssen; Christine-Elke Ortmann; Catherine Tribouley; Ye Yuan; Michele Baccarani; Xiaojun Huang
Journal:  Blood       Date:  2015-03-12       Impact factor: 22.113

10.  Chronic Myeloid Leukemia in Nigerian Patients: Anemia is an Independent Predictor of Overall Survival.

Authors:  Anthony A Oyekunle; Muheez A Durosinmi; Ramoni A Bolarinwa; Temilola Owojuyigbe; Lateef Salawu; Norah O Akinola
Journal:  Clin Med Insights Blood Disord       Date:  2016-06-20
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.