Evidence map›Paper›PMID 30310785›Full record

ArticleBlood research2018

The prognostic impact of lymphocyte subsets in newly diagnosed acute myeloid leukemia.

Yumi Park, Jinsook Lim, Seonyoung Kim, Ikchan Song, Kyechul Kwon, Sunhoe Koo, Jimyung Kim

Abstract read
In one paragraph

Article in Blood research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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  7. Article
  8. The Role of Regulatory B Cells in Patients with Acute Myeloid Leukemia.Medical science monitor : international medical journal of experimental and clinical research · 2019
    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

7 authors.

Yumi ParkDepartment of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea.
Jinsook LimDepartment of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea.
Seonyoung KimDepartment of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea.
Ikchan SongDepartment of Hemato-Oncology, Chungnam National University Hospital, Daejeon, Korea.
Kyechul KwonDepartment of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea.
Sunhoe KooDepartment of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea.
Jimyung KimDepartment of Laboratory Medicine, Chungnam National University Hospital, Daejeon, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTumor-infiltrating lymphocytes, which form a part of the host immune system, affect the development and progression of cancer. This study investigated whether subsets of lymphocytes reflecting host-tumor immunologic interactions are related to the prognosis of patients with acute myeloid leukemia (AML).

methodsLymphocyte subsets in the peripheral blood of 88 patients who were newly diagnosed with AML were analyzed by quantitative flow cytometry. The relationships of lymphocyte subsets with AML subtypes, genetic risk, and clinical courses were analyzed.

resultsThe percentages of T and NK cells differed between patients with acute promyelocytic leukemia (APL) and those with AML with myelodysplasia-related changes. In non-APL, a high proportion of NK cells (>16.6%) was associated with a higher rate of death before remission (

conclusionLymphocyte subsets at diagnosis differ between patients with different specific subtypes of AML. A low proportion of NK cells is associated with adverse genetic abnormalities, whereas a high proportion is related to death before remission. However, the proportion of NK cells may not show independent correlations with survival.

Indexed as

Acute myeloid leukemiaLymphocyte subsetNK cellsPrognosis

Identifiers

PMID30310785
PMCPMC6170312

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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.