Evidence map›Paper›PMID 12886240›Full record

ArticleLeukemia2003

The percentage of myeloperoxidase-positive blast cells is a strong independent prognostic factor in acute myeloid leukemia, even in the patients with normal karyotype.

T Matsuo, K Kuriyama, Y Miyazaki, S Yoshida, M Tomonaga, N Emi, T Kobayashi, S Miyawaki, T Matsushima, K Shinagawa and 3 more

Abstract read
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In one paragraph

Article in Leukemia, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  5. A novel immune prognostic model of non-M3 acute myeloid leukemia.American journal of translational research · 2022
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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

13 authors.

T MatsuoBlood Transfusion Service, Department of Hematology and Molecular Medicine Unit, Atomic Bomb Disease Institute, Nagasaki University School of Medicine, Sakamoto Nagasaki, Japan.
K Kuriyama
Y Miyazaki
S Yoshida
M Tomonaga
N Emi
T Kobayashi
S Miyawaki
T Matsushima
K Shinagawa
S Honda
R Ohno
Japan Adult Leukemia Study Group

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To examine whether the percentage of myeloperoxidase (MPO)-positive blast cells is useful as a prognostic factor for acute myeloid leukemia (AML), cytochemical analysis of MPO was performed in 491 patients who were registered to the Japan Adult Leukemia Study Group-AML92 study. Patients were divided into two using the percentage of MPO-positive blast (high [>or=50%] and low (<50%)). Complete remission rates were 85.4% in the former and 64.1% in the latter (P=0.001). The overall survival (OS) and the disease-free survival (DFS) were significantly better in the high MPO group (48.3 vs 18.7% for OS, and 36.3 vs 20.1% for DFS, P<0.001, respectively). Multivariate analysis showed that both karyotype and the percentage of MPO-positive blast cells were equally important prognostic factors. The high MPO group still showed a better survival even when restricted to the intermediate chromosomal risk group or the patients with normal karyotype (P<0.001). The OS of patients with normal karyotype in the high MPO group was almost equal with that of the favorable chromosomal risk group. The percentage of MPO-positive blast cells is a simple and highly significant prognostic factor for AML patients, and especially useful to stratify patients with normal karyotype.

Indexed as

Acute DiseaseBlast CrisisClinical Enzyme TestsFemaleHumansKaryotypingLeukemia, MyeloidMaleMiddle AgedMultivariate AnalysisPeroxidasePrognosisRemission InductionSurvival AnalysisPeroxidase

Identifiers

PMID12886240

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.