Evidence map›Paper›PMID 30614357›Full record

ArticleThe Journal of international medical research2019

Clinically useful flow cytometry approach to identify immunophenotype in acute leukemia.

Guifang Ouyang, Zhijuan Xu, Danjie Jiang, Huiling Zhu, Yi Wang, Wenmiao Wu, Yongcheng Sun, Lixia Sheng, Kaihong Xu, Yanru Lou and 5 more

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Guideline
  2. Diagnostic Concordance and Superiority of Flow Cytometry Over Immunohistochemistry in Acute Leukemia Immunophenotyping: A Single-Center Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
    Article
  3. Review
  4. Article
  5. [Pancytopenia associated to acute myeloid leukemia: a case report of aleukemic leukemia].Revista medica del Instituto Mexicano del Seguro Social · 2023
    Article
  6. Article
  7. Review
  8. Article
  9. [Analysis of immunophenotypes and expressions of non-myeloid antigens in acute myeloid leukemia].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2020
    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

15 authors at 3 institutions in 2 countries.

Guifang Ouyang1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Zhijuan Xu1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Danjie Jiang2 School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Huiling Zhu1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Yi Wang1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Wenmiao Wu1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Yongcheng Sun1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Lixia Sheng1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Kaihong Xu1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Yanru Lou1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Qitian Mu1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Yi Zhang1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Ningning Wu1 Department of Hematology, Ningbo First Hospital, Ningbo, Zhejiang, China.
Jia Cheng2 School of Medicine, Ningbo University, Ningbo, Zhejiang, China.ORCID https://orcid.org/0000-0003-3116-4035
Shiwei Duan2 School of Medicine, Ningbo University, Ningbo, Zhejiang, China.
Ningbo First Hospital · CNNingbo University · CNZero to Three · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAcute leukemia (AL) is a highly heterogeneous malignant disease caused by hematopoietic cell abnormalities. Our study investigated the potential for immunophenotyping of leukemic cells via flow cytometry and the clinical usefulness of this approach in treatment of AL.

methodsBone marrow (BM) specimens were collected to detect antigen expression on hematopoietic cells in pre-treatment samples from patients with AL. In addition, fraction survival curves were calculated using the Kaplan-Meier method to explore the effect of markers on prognosis in AL.

resultsExpression levels of immunophenotypic markers in patients with acute lymphoblastic leukemia (ALL) were significantly different from those in patients with acute myeloid leukemia (AML). In addition, there was a potential association between the surface marker, cluster of differentiation 2 (CD2), and fraction survival in AML. However, no similar result was found in ALL. Moreover, genetic tests showed greater positive variation of the break point cluster-Abelson tyrosine kinase ( BCR-ABL) fusion gene in samples from patients with ALL than in samples from patients with AML.

conclusionsWe have shown a rapid and effective flow cytometry method that enables the identification of immunophenotype in AL. Moreover, CD2 may constitute a predictive marker for prognosis in patients with AML.

Indexed as

AdultAntigens, CDFemaleFlow CytometryFollow-Up StudiesHumansImmunophenotypingLeukemia, Myeloid, AcuteMaleMiddle AgedPrecursor Cell Lymphoblastic Leukemia-LymphomaPrognosisSurvival RateAntigens, CDAcute leukemiaacute lymphoblastic leukemiabone marrowbreak point cluster-Abelson tyrosine kinase fusion geneCD2flow cytometryimmunophenotypemyeloid leukemia

Identifiers

PMID30614357
PMCPMC6460589
OpenAlexW2976914656

What OpenQuestion holds

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Registered trials

None linked

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.