ArticleCureus2020
Risk Stratification of Chronic Myeloid Leukemia According to Different Prognostic Scores.
Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- Impact of Beta-Thalassemia Trait on Clinical Outcomes and Treatment Response in Chronic Myeloid Leukemia.Cureus · 2026Article
- Comparing therapeutic effects across tyrosine kinase inhibitors: Chronic myeloid leukemia outcomes and analysis of influencing factors.Medicine · 2025Observational
- Using Early Biomarker Change and Treatment Adherence to Predict Risk of Relapse Among Patients With Chronic Myeloid Leukemia Who Are in Remission.JCO clinical cancer informatics · 2025Article
- Exploring treatment decision-making in chronic myeloid leukemia in chronic phase.Frontiers in oncology · 2024Review
- Leukostasis With Isolated Central Nervous System Involvement in Chronic Phase of Chronic Myelogenous Leukemia.Journal of hematology · 2023Article
- Long-Term Outcomes with Sequential Tyrosine Kinase Inhibitors Treatment in Chronic Myeloid Leukemia Patients.Asian Pacific journal of cancer prevention : APJCP · 2023Article
- Serum Vascular Endothelial Gowth Factor Correlates with Hasford Score in Chronic Myeloid Leukemia.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2022Article
- Chronic Myeloid Leukemia Prognosis and Therapy: Criticisms and Perspectives.Journal of clinical medicine · 2020Article
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Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction Several prognostic indices are in use to stratify chronic myeloid leukemia (CML) patients: Sokal, Hasford, and the European Treatment and Outcome Study (EUTOS) being the most commonly reported ones. The application of different scores may cause variability in the determination of disease prognosis. This study was conducted to stratify patients of CML in accordance with Sokal, Hasford, and EUTOS scoring systems and to determine the concordance rate of risk categories, calculated by using all three scoring systems. Methods This study was conducted at King Edward Medical University from January 2013 to May 2019. A total of 114 patients were diagnosed with CML in the chronic phase during the study period and included in the analysis. Variables of interest were computed using Microsoft Excel. These variables include age, spleen size, platelet count, the percentage of myeloblasts in the peripheral blood, as well as the percentage of basophils and eosinophils in the peripheral blood. Using these baseline variables, the prognostic category of each patient was calculated using Sokal, Hasford, and EUTOS scores. Results The male to female ratio of patients included in the study was 1.43. The mean age was 39.3±1.58 years, with an age range of 13 to 95 years. A total of only 4 out of 73 patients were categorized as a low-risk category, whereas 23 out of 80 patients were categorized into a high-risk category by all three scoring systems. The assignment of prognostic categories was variable, depending on which prognostic score was applied. The concordance rate of Sokal vs Hasford was 53%, Sokal vs EUTOS 64%, and Hasford vs EUTOS 98%. Conclusion There is considerable inter-variability between the various prognostic indicators. In general, the Hasford and EUTOS scores assign some patients to a lower risk category when compared to Sokal score.
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