Evidence map›Paper›PMID 41838395›Full record

ArticleThe oncologist2026

Construction of a predictive model based on the risk of relapse after cytarabine consolidation therapy in acute myeloid leukemia patients.

Min Ji, Yiping Hao, Wei Li, Ying Zhou, Ruinan Jia, Wěi Li, Shumin Jin, Min Dai, Mengyuan Chang, Lei Feng and 4 more

Abstract read
In one paragraph

Article in The oncologist, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

14 authors.

Min JiDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Yiping HaoDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Wei LiDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Ying ZhouDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Ruinan JiaDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Wěi LiDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Shumin JinDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Min DaiDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Mengyuan ChangDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Lei FengDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Tingting LiuDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Di ZhangDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Chunyan JiDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.
Jingjing YeDepartment of Hematology, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan 250012, People's Republic of China.ORCID 0000-0003-3231-8235

Funding

National Natural Science Foundation of China 82270174National Natural Science Foundation of China 82300189National Natural Science Foundation of China 82370165National Natural Science Foundation of China 82470153Natural Science Foundation of Shandong Province ZR2023QH073Natural Science Foundation of Shandong Province ZR2024MH209Taishan Scholars Program tspd20210321Taishan Scholars Program tsqn202408342Taishan Scholars Program tstp20230653
6 · The paper itself

Abstract

backgroundPatients with acute myeloid leukemia (AML) are still at risk of relapse after consolidation therapy with cytarabine. Therefore, early identification and intervention of patients at high risk of relapse is crucial.

methodsThis single-center retrospective study analyzed the clinical data of 355 patients with AML (non-APL) who received cytarabine consolidation therapy. Key factors affecting relapse were identified by least absolute shrinkage and selection operator regression, and a predictive model for relapse after cytarabine consolidation therapy was constructed and internally validated.

resultsThe study showed that age ≥50 years, female, DNMT3A mutation, TP53 mutation, IDH1 mutation, CBF-AML, white blood cell (WBC) ≥30 × 109/L, 2 courses of induction therapy, 1-2 courses of cytarabine consolidation therapy and cumulative dose of cytarabine <36 g were significantly correlated with relapse after cytarabine consolidation therapy in AML patients. Constructing a nomogram using the above factors and validating it with receiver operating characteristic, calibration curves showed that it has good discrimination and prediction. Patients were categorized into high-risk and low-risk groups based on the median risk score of the model, and there were significant differences in overall survival and event-free survival between the two groups.

conclusionPredictive models based on age, sex, DNMT3A, TP53, IDH1, CBF-AML, WBC count, induction therapy course, cytarabine consolidation course, and cumulative dose can effectively assess the relapse risk after receiving cytarabine consolidation therapy in AML patients and provide a reference for clinical decision-making.

Indexed as

Antimetabolites, AntineoplasticCytarabineLeukemia, Myeloid, AcuteNeoplasm Recurrence, LocalAdultAgedConsolidation ChemotherapyFemaleHumansMaleMiddle AgedNomogramsPrognosisRetrospective StudiesAntimetabolites, AntineoplasticCytarabineacute myeloid leukemiacytarabinerelapsetherapy

Identifiers

PMID41838395
PMCPMC13023036

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.