Evidence map›Paper›PMID 39366384›Full record

ArticleCell reports. Medicine2024

A simplified and robust risk stratification model for stem cell transplantation in pediatric acute myeloid leukemia.

Hua Yang, Yang Xun, Yali Shen, Hongtao Wang, Yu Tao, Huihan Wang, Xinyue Zhang, Rongqiu Liu, Huarong Yu, Li Wei and 3 more

Abstract read
In one paragraph

Article in Cell reports. Medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Unmasking hidden high risk inInnovation (Cambridge (Mass.)) · 2026
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  3. Review
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Hua YangLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China; Department of Basic Medicine, School of Medicine, Foshan University, Foshan, Guangdong Province, China.
Yang XunLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China; Department of Basic Medicine, School of Medicine, Foshan University, Foshan, Guangdong Province, China.
Yali ShenLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Hongtao WangDepartment of Hematology, Shengjing Hospital of China Medical University, Shenyang, China.
Yu TaoLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Huihan WangDepartment of Hematology, Shengjing Hospital of China Medical University, Shenyang, China.
Xinyue ZhangDepartment of Hematology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China.
Rongqiu LiuLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China.
Huarong YuCollege of Basic Medicine, Chongqing Medical University, Chongqing, China.
Li WeiNHC Key Laboratory of Birth Defects and Reproductive Health, Chongqing Population and Family Planning Science and Technology Research Institute, Chongqing, China. Electronic address: weilikw@aliyun.com.
Jinsong YanDepartment of Hematology, Liaoning Medical Center for Hematopoietic Stem Cell Transplantation, Dalian Key Laboratory of Hematology, Liaoning Key Laboratory of Hematopoietic Stem Cell Transplantation and Translational Medicine, Diamond Bay Institute of Hematology, The Second Hospital of Dalian Medical University, Dalian, China. Electronic address: yanjsdmu@dmu.edu.cn.
Xiaoyu ZhuDepartment of Hematology, the First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, University of Science and Technology of China, Hefei, Anhui, China. Electronic address: xiaoyuz@ustc.edu.cn.
Hua YouLaboratory for Excellence in Systems Biomedicine of Pediatric Oncology, Department of Pediatric Hematology and Oncology, Chongqing Key Laboratory of Pediatric Metabolism and Inflammatory Diseases, Ministry of Education Key Laboratory of Child Development and Disorders, National Clinical Research Center for Child Health and Disorders, Children's Hospital of Chongqing Medical University, Chongqing, China. Electronic address: youhua307@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The efficacy of stem cell transplantation (SCT) in pediatric acute myeloid leukemia (pAML) remains unsatisfactory due to the limitations of existing prognostic models in predicting efficacy and selecting suitable candidates. This study aims to develop a cytomolecular risk stratification-independent prognostic model for SCT in pAML patients at CR1 stage. The pAML SCT model, based on age, KMT2A rearrangement (KMT2A-r), and minimal residual disease at end of course 1 (MRD1), effectively classifies patients into low-, intermediate-, and high-risk groups. We validate the effectiveness in an internal validation cohort and in four external validation cohorts, consisting of different graft sources and donors. Moreover, by incorporating the FMS-like tyrosine kinase 3/internal tandem duplication (FLT3/ITD) allelic ratio, the pAML SCT model is refined, enhancing its ability to effectively select suitable candidates. We develop a simple and robust risk stratification model for pAML patients undergoing SCT, to aid in risk stratification and inform pretransplant decision-making at CR1 stage.

Indexed as

Leukemia, Myeloid, AcuteAdolescentChildChild, PreschoolFemalefms-Like Tyrosine Kinase 3Hematopoietic Stem Cell TransplantationHistone-Lysine N-MethyltransferaseHumansInfantMaleMyeloid-Lymphoid Leukemia ProteinNeoplasm, ResidualPrognosisRisk AssessmentStem Cell TransplantationFLT3 protein, humanfms-Like Tyrosine Kinase 3Histone-Lysine N-MethyltransferaseKMT2A protein, humanMyeloid-Lymphoid Leukemia Proteinallelic ratio of FLT3/ITDminimal residual diseasepediatric acute myeloid leukemiarisk stratification modelstem cell transplantation

Identifiers

PMID39366384
PMCPMC11513827

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Registered trials

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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.