Evidence map›Paper›PMID 37435533›Full record

ArticleFrontiers in medicine2023

The latest edition of WHO and ELN guidance and a new risk model for Chinese acute myeloid leukemia patients.

Xiaoning Wang, Jie Wang, Suhua Wei, Juan Zhao, Beibei Xin, Guoqing Li, Jing Zhao, Di Wu, Minna Luo, Sijie Zhao and 8 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 11% of its field
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

7 citing papers in PubMed, 8 citations in OpenAlex.

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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

18 authors at 2 institutions in 1 country.

Xiaoning Wang *Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jie Wang *Department of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Suhua WeiDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Juan ZhaoDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Beibei XinShanghai Yuanqi Biomedical Technology Co., Ltd., Shanghai, China.
Guoqing LiShanghai Yuanqi Biomedical Technology Co., Ltd., Shanghai, China.
Jing ZhaoDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Di WuDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Minna LuoDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Sijie ZhaoDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Ying ChenDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Haibo LiuDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hailing ZhangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Jingcheng WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Wenjuan WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Huaiyu WangDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
Hui XiongShanghai Yuanqi Biomedical Technology Co., Ltd., Shanghai, China.
Pengcheng HeDepartment of Hematology, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, China.
First Affiliated Hospital of Xi'an Jiaotong University · CNSoochow University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Diagnosis classification and risk stratification are crucial in the prognosis prediction and treatment selection of acute myeloid leukemia (AML). Here, we used a database of 536 AML patients to compare the 4th and 5th WHO classifications and the 2017 and 2022 versions of ELN guidance. Methods: AML patients were classified according to the 4th and 5th WHO classifications, as well as the 2017 and 2022 versions of the European LeukemiaNet (ELN) guidance. Kaplan-Meier curves with log-rank tests were used for survival analysis. Results: The biggest change was that 25 (5.2%), 8 (1.6%), and 1 (0.2%) patients in the AML, not otherwise specified (NOS) group according to the 4th WHO classification, were re-classified into the AML-MR (myelodysplasia-related), KMT2A rearrangement, and NUP98 rearrangement subgroups based on the 5th WHO classification. Referring to the ELN guidance, 16 patients in the favorable group, six patients in the adverse group, and 13 patients in the intermediate group based on the 2017 ELN guidance were re-classified to the intermediate and adverse groups based on the 2022 ELN guidance. Regrettably, the Kaplan-Meier curves showed that the survival of intermediate and adverse groups could not be distinguished well according to either the 2017 or 2022 ELN guidance. To this end, we constructed a risk model for Chinese AML patients, in which the clinical information (age and gender), gene mutations ( Conclusion: These results affirmed the clinical value of both WHO and ELN, but a more suitable prognosis model should be established in Chinese cohorts, such as the models we proposed.

Indexed as

acute myeloid leukemiaEuropean Leukemia Netprognosisrisk modelWorld Health Organization

Identifiers

PMID37435533
PMCPMC10332310
OpenAlexW4382055500

What OpenQuestion holds

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LicenceCC BY
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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.