Evidence map›Paper›PMID 31440963›Full record

ArticleInternational journal of hematology2019

Comprehensive prognostic scoring systems could improve the prognosis of adult acute myeloid leukemia patients.

Fan Zhou, Fen Zhou, Mengyi Du, Lin Liu, Tao Guo, Linghui Xia, Runming Jin, Yu Hu, Heng Mei

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Article in International journal of hematology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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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

9 authors.

Fan ZhouInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Fen ZhouInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Mengyi DuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Lin LiuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Tao GuoInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Linghui XiaInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Runming JinInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Yu HuInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China.
Heng MeiInstitute of Hematology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430022, China. hmei@hust.edu.cn.ORCID http://orcid.org/0000-0001-7941-2443

Funding

National Natural Science Foundation of China 81570116National Natural Science Foundation of China 81873434
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a heterogeneous malignancy characterized by a dismal outcome. To enable better outcomes, it is necessary to develop individual therapies based on risk stratification. In the present study, we established two new comprehensive prognostic scoring systems (CPSS) for overall survival (OS) and relapse-free survival (RFS) using the Cox proportional hazards regression, CPSS integrated and weighted age, AML type, lactic dehydrogenase (LDH), ECOG score, cytogenetics, and gene mutations. We divided patients into three risk groups-low-, intermediate-, and high-risk-with 1-year OS rates of 100.0%, 82.9%, and 38.2%, respectively (p < 0.0001), and patients undergoing complete remission (CR) were also separated into low-risk, intermediate-risk, and high-risk groups, with 1-year RFS rates of 87.7%, 58.4%, and 30.2%, respectively (p < 0.0001). We conclude that CPSS that integrate clinical characteristics, cytogenetic abnormalities, and gene mutations may improve the stratification of AML patients.

Indexed as

PrognosisAdolescentAdultDisease-Free SurvivalFemaleHumansLeukemia, Myeloid, AcuteMaleMiddle AgedRemission InductionRisk AssessmentSurvival AnalysisAcute myeloid leukemia (AML)Comprehensive prognostic scoring system (CPSS)Gene mutationsNext-generation sequencing (NGS)Prognosis

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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.