Evidence map›Paper›PMID 35328450›Full record

ArticleInternational journal of molecular sciences2022

Reduced Percentage of CD14

Wioleta Kowalska, Michał Zarobkiewicz, Waldemar Tomczak, Justyna Woś, Izabela Morawska, Agnieszka Bojarska-Junak

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2022. 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
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Pro- vs. Anti-Inflammatory Features of Monocyte Subsets in Glioma Patients.International journal of molecular sciences · 2023
    Article
  7. Article
  8. 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

6 authors at 1 institution in 1 country.

Wioleta KowalskaDepartment of Clinical Immunology, Medical University of Lublin, 20-093 Lublin, Poland.ORCID 0000-0003-0930-5874
Michał ZarobkiewiczDepartment of Clinical Immunology, Medical University of Lublin, 20-093 Lublin, Poland.ORCID 0000-0003-0788-6353
Waldemar TomczakDepartment of Haematooncology and Bone Marrow Transplantation, Medical University of Lublin, 20-080 Lublin, Poland.
Justyna WośDepartment of Clinical Immunology, Medical University of Lublin, 20-093 Lublin, Poland.
Izabela MorawskaDepartment of Clinical Immunology, Medical University of Lublin, 20-093 Lublin, Poland.ORCID 0000-0001-9462-8779
Agnieszka Bojarska-JunakDepartment of Clinical Immunology, Medical University of Lublin, 20-093 Lublin, Poland.ORCID 0000-0003-2340-9442
Medical University of Lublin · PL

Funding

Medical University of Lublin PBmb160
6 · The paper itself

Abstract

Monocytes are one of the least studied immune cells with a potentially important role in the pathogenesis of chronic lymphocytic leukemia (CLL). Nevertheless, data regarding the role of subpopulations of monocytes in the CLL microenvironment are still limited. For the very first time, this study presents an assessment of monocyte subsets divided according to SLAN and CD16 expression in CLL patients. The study involved 70 freshly diagnosed CLL patients and 35 healthy donors. Using flow cytometry, monocyte subpopulations were assessed among PBMCs. CD14

Indexed as

Interleukin-12Leukemia, Lymphocytic, Chronic, B-CellGPI-Linked ProteinsHumansLipopolysaccharide ReceptorsMonocytesReceptors, IgGTumor MicroenvironmentGPI-Linked ProteinsInterleukin-12Lipopolysaccharide ReceptorsReceptors, IgGchronic lymphocytic leukemiamonocytesSLAN

Identifiers

PMID35328450
PMCPMC8951649
OpenAlexW4220861784

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.