Nomogram models predicting prognosis for patients with t(8;21) acute myeloid leukemia: a SEER-based study
Autor: | Jiapeng Yang, Xiaohua Zhu, Honghong Zhang, Yang Fu, Zifeng Li, Ziping Xing, Yi Yu, Ping Cao, Jun Le, Junye Jiang, Jun Li, Hongsheng Wang, Maoxiang Qian, Xiaowen Zhai |
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Jazyk: | angličtina |
Rok vydání: | 2024 |
Předmět: | |
Zdroj: | Hematology, Vol 29, Iss 1 (2024) |
Druh dokumentu: | article |
ISSN: | 16078454 1607-8454 |
DOI: | 10.1080/16078454.2024.2381169 |
Popis: | Background: Acute myeloid leukemia (AML) with t(8;21) manifests as a diverse hematological malignancy. Although it was categorized into a favorable subtype, 30–40% of patients experience relapse. The objective of this research was to devise a nomogram for the accurate anticipation of both overall survival (OS) and cancer-specific survival (CSS) in t(8;21) AML.Methods: From the Surveillance, Epidemiology, and End Results (SEER) database, individuals diagnosed with t(8;21) AML from 2000 to 2018 were selected. Prognostic factors for t(8;21) AML were identified using Cox regression analysis and Akaike Information Criterion (AIC), forming the basis for constructing prognostic nomograms.Results: Key variables, including first primary tumor, age group, race, and chemotherapy, were identified and integrated into the nomogram. The C-index values for the nomograms predicting OS and CSS were 0.753 (validation: 0.765) and 0.764 (validation: 0.757), respectively. Ultimately, based on nomogram scores, patients were stratified into high-risk and low-risk groups, revealing significant disparities in both OS and CSS between these groups (P |
Databáze: | Directory of Open Access Journals |
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