Evidence map›Paper›PMID 36031670›Full record

ArticleInternational journal of hematology2022

Post-remission measurable residual disease directs treatment choice and improves outcomes for patients with intermediate-risk acute myeloid leukemia in CR1.

Lijie Han, Yilu Li, Jiaying Wu, Jie Peng, Xiaolin Han, Hongmian Zhao, Chen He, Yuanyuan Li, Weimin Wang, Mengmeng Zhang and 6 more

Abstract read
In one paragraph

Article in International journal of hematology, 2022. 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. Review
  2. Mutation- and MRD-informed treatment decisions for the transplant-eligible AML patient.Hematology. American Society of Hematology. Education Program · 2024
    Review
  3. Review
  4. Article
  5. Article
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

16 authors.

Lijie Han *Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. hanlijiede@126.com.ORCID http://orcid.org/0000-0001-5919-3773
Yilu Li *Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jiaying Wu *Department of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jie Peng *Department of Oncology, The Second Affiliated Hospital of Guizhou Medical University, Kaili, China.
Xiaolin HanDepartment of Hematology, The First Affiliated Hospital of Xinxiang Medical University, Xinxiang, China.
Hongmian ZhaoDepartment of Hematology, Huaihe Hospital of Henan University, Kaifeng, China.
Chen HeLaboratory of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yuanyuan LiSchool of Foreign Languages, Henan University of Chinese Medicine, Zhengzhou, China.
Weimin WangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Mengmeng ZhangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Yafei LiLaboratory of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Hui SunDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Haixia CaoDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Li'na SangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Zhongxing JiangDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
Jifeng YuDepartment of Hematology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China. yujifengzzu@163.com.

Funding

Jointly Sponsored Project of Henan Medical Science and Technology Research Plan LHGJ20190040Key scientific research projects of colleges and universities in Henan Province 20B320048Medical Science and Technology Project of Henan Province SB201901106National Natural Science Foundation of China 82000163
6 · The paper itself

Abstract

objectivesThis study retrospectively investigated in which cycle measurable residual disease (MRD) is associated with prognosis in patients in first complete remission (CR1) of intermediate-risk acute myeloid leukemia (AML).

methodsThe study enrolled 235 younger patients with intermediate-risk AML. MRD was evaluated by multiparameter flow cytometry after the 1st, 2nd, and 3rd chemotherapy cycles (MRD1-3, respectively).

resultsNo significant association was detected after the 1st and 2nd cycles. However, the 5-year incidence of relapse was higher in the MRD3-positive group (n = 99) than in the negative group (n = 136) (48.7% vs. 13.7%, P = 0.005), while 5-year disease-free survival (DFS) and overall survival (OS) were lower in the MRD3-positive group than in the negative group (43.2% vs. 81.0% and 45.4% vs. 84.1%; P = 0.003 and 0.005, respectively). Allogeneic hematopoietic stem cell transplantation led to a lower 5-year relapse, and higher DFS and OS rates than chemotherapy in the MRD3-positive group (22.3% vs. 71.5%, 65.9% vs. 23.0%, and 67.1% vs. 23.9%; P < 0.001, 0.002, and 0.022, respectively), but did not affect the MRD-negative group.

conclusionsMRD3 could serve as an indicator for post-remission treatment choice and help improve outcomes for intermediate-risk AML in CR1.

Indexed as

Hematopoietic Stem Cell TransplantationLeukemia, Myeloid, AcuteHumansNeoplasm, ResidualPrognosisReceptors, Complement 3bRecurrenceRemission InductionRetrospective StudiesTransplantation, HomologousCR1 protein, humanReceptors, Complement 3bAcute myeloid leukemiaHematopoietic stem cell transplantationIntermediate-riskMeasurable residual disease

Identifiers

PMID36031670
PMCPMC9668963

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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.