ArticleBlood2024
A predictive model for therapy failure in patients with chronic myeloid leukemia receiving tyrosine kinase inhibitor therapy.
Article in Blood, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
11 citing papers in PubMed, 1 synthesis or guideline pooled it.
- [Guideline for the diagnosis and treatment of chronic myeloid leukemia in China (2025)].Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi · 2025Guideline
- Article
- Deep cytomorphology identifies erythroid skewing and monocytic morphology to predict TKI sensitivity in CML patients.HemaSphere · 2026Article
- Validation of a New Scoring System for Treatment Failure in CML Patients on Tyrosine Kinase Inhibitors in a Real-World Setting.Mediterranean journal of hematology and infectious diseases · 2026Article
- Leukemia epidemiology in China: Burden, trends, and determinants in the 21st century.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2025Article
- Successful fatherhood of males with tyrosine kinase inhibitor-resistant chronic myeloid leukemia taking olverembatinib.Annals of hematology · 2025Article
- Treatment-free remission in chronic myeloid leukaemia patients with accelerated phase or tyrosine kinase inhibitor therapy failure.British journal of haematology · 2025Article
- Observational
- Secondary malignancies after chronic myeloid leukaemia upon TKI treatment: Population trends and outcomes.British journal of haematology · 2025Article
- Prognostic scoring systems in chronic myeloid leukaemia.Leukemia · 2025Review
- Dose Optimization of Tyrosine Kinase Inhibitors for Chronic Myeloid Leukemia.Clinical pharmacology : advances and applications · 2025Review
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48 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
abstractAlthough tyrosine kinase inhibitor (TKI) therapy has markedly improved the survival of people with chronic-phase chronic myeloid leukemia (CML), 20% to 30% of people still experienced therapy failure. Data from 1955 consecutive patients with chronic-phase CML diagnosed by the European LeukemiaNet recommendations from 1 center receiving initial imatinib or a second-generation (2G) TKI therapy were interrogated to develop a clinical prediction model for TKI-therapy failure. This model was subsequently validated in 3454 patients from 76 other centers. Using the predictive clinical covariates associated with TKI-therapy failure, we developed a model that stratified patients into low-, intermediate- and high-risk subgroups with significantly different cumulative incidences of therapy failure (P < .001). There was good discrimination and calibration in the external validation data set, and the performance was consistent with that of the training data set. Our model had the better prediction discrimination than the Sokal and European Treatment and Outcome Study long-term survival scores, with the greater time-dependent area under the receiver-operator characteristic curve values and a better ability to redefine the risk of therapy failure. Our model could help physicians estimate the likelihood of initial imatinib or 2G TKI-therapy failure in people with chronic-phase CML.
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