Evidence map›Paper›PMID 25045197›Full record

ArticleDisease markers2014

Immunophenotypes and immune markers associated with acute promyelocytic leukemia prognosis.

Fang Xu, Chang-Xin Yin, Chun-Li Wang, Xue-Jie Jiang, Ling Jiang, Zhi-Xiang Wang, Zheng-Shan Yi, Kai-Kai Huang, Fan-Yi Meng

Open access · hybridAbstract read
In one paragraph

Article in Disease markers, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 42 citations in OpenAlex.

  1. Article
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  4. Favorable outcome ofClinical case reports · 2023
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  7. Higher Level of Peripheral Blood CD34 Positive Cells Presented with Unfavorable Prognosis in Intermediate-Low Risk Acute Promyelocytic Leukemia.Indian journal of hematology & blood transfusion : an official journal of Indian Society of Hematology and Blood Transfusion · 2020
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  17. A preliminary Study on the Effect of Head and Neck Chemoradiotherapy on Systematic Immunity.Dose-response : a publication of International Hormesis Society
    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

9 authors at 2 institutions in 1 country.

Fang XuHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China ; Hematology Department, Mianyang Center Hospital, Mianyang 621000, China.
Chang-Xin YinHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Chun-Li WangHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Xue-Jie JiangHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Ling JiangHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zhi-Xiang WangHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Zheng-Shan YiHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Kai-Kai HuangHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Fan-Yi MengHematology Department, Nanfang Hospital, Southern Medical University, Guangzhou 510515, China.
Nanfang Hospital · CNSouthern Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CD2+, CD34+, and CD56+ immunophenotypes are associated with poor prognoses of acute promyelocytic leukemia (APL). The present study aimed to explore the role of APL immunophenotypes and immune markers as prognostic predictors on clinical outcomes. A total of 132 patients with de novo APL were retrospectively analyzed. Immunophenotypes were determined by flow cytometry. Clinical features, complete remission (CR), relapse, and five-year overall survival (OS) rate were assessed and subjected to multivariate analyses. The CD13+CD33+HLA-DR-CD34- immunophenotype was commonly observed in patients with APL. Positive rates for other APL immune markers including cMPO, CD117, CD64, and CD9 were 68.7%, 26%, 78.4%, and 96.6%, respectively. When compared with patients with CD2- APL, patients with CD2+ APL had a significantly higher incidence of early death (50% versus 15.7%; P = 0.016), lower CR rate (50% versus 91.1%; P = 0.042), and lower five-year OS rate (41.7% versus 74.2%; P = 0.018). White blood cell (WBC) count before treatment was found to be the only independent risk factor of early death, CR failure, and five-year mortality rate. Flow cytometric immunophenotype analysis can facilitate prompt APL diagnosis. Multivariate analysis has demonstrated that WBC count before treatment is the only known independent risk factor that predicts prognosis for APL in this study population.

Indexed as

AdolescentAdultAgedAntigens, CDBiomarkers, TumorFemaleHLA-DR AntigensHumansLeukemia, Promyelocytic, AcuteMaleMiddle AgedPhenotypePrognosisAntigens, CDBiomarkers, TumorHLA-DR Antigens

Identifiers

PMID25045197
PMCPMC4089198
OpenAlexW2004217619

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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.