ArticleTranslational cancer research2023
A nomogram based on clinical features and molecular abnormalities for predicting the prognosis of patients with acute myeloid leukemia.
Article in Translational cancer research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- Personalized multivariable clinical prognostic model for patients with acute myeloid leukemia receiving intensive chemotherapy.International journal of hematology · 2026Article
- Prognosis of Acute Myeloid Leukemia Based on TP53 Mutation Among Adult Patients: A Systematic Review and Meta-Analysis.Iranian journal of pathology · 2026Review
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Authors and funding
7 authors.
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Abstract
Background: The high clinical and molecular heterogeneity of acute myeloid leukemia (AML) has led to an unsatisfactory clinical prognosis, thus we sought to incorporate both clinical features and molecular abnormalities to construct a new prognostic model. Methods: A database search of the Gene Expression Omnibus (GEO) revealed 238 cases of adult AML. The independent risk factors were assessed using both univariate and multivariate Cox regression, as well as least absolute shrinkage and selection operator (LASSO) regression. The predictive accuracy, discriminatory power and clinical applicability of the nomogram were determined by the consistency index (C-index), calibration curves and decision curve analysis (DCA). In addition, a single-centre cohort of 135 cases was used for external validation. Results: Multivariate Cox regression analysis showed that the independent influences on overall survival (OS) were age, type of disease, Conclusions: A nomogram consisting of five risk factors was developed for forecasting the prognosis of AML with guaranteed reliability.
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