Evidence map›Paper›PMID 35979935›Full record

ArticleJournal of extracellular vesicles2022

Serum-derived extracellular vesicles: Novel biomarkers reflecting the disease severity of COVID-19 patients.

Tobias Tertel, Sergej Tomić, Jelena Đokić, Dušan Radojević, Dejan Stevanović, Nataša Ilić, Bernd Giebel, Maja Kosanović

Open access · goldAbstract read
In one paragraph

Article in Journal of extracellular vesicles, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

25 citing papers in PubMed, 29 citations in OpenAlex.

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  16. CD66bJournal of extracellular vesicles · 2024
    Article
  17. Article
  18. Review
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  20. Extracellular Vesicles and Their Role in Lung Infections.International journal of molecular sciences · 2023
    Review
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

8 authors at 4 institutions in 3 countries.

Tobias TertelInstitute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Sergej TomićInstitute for the Application of Nuclear Energy, INEP, University of Belgrade, Zemun-Belgrade, Serbia.
Jelena ĐokićInstitute of Molecular Genetics and Genetic Engineering (IMGGI), University of Belgrade, Belgrade, Serbia.
Dušan RadojevićInstitute of Molecular Genetics and Genetic Engineering (IMGGI), University of Belgrade, Belgrade, Serbia.
Dejan StevanovićClinical Hospital Center Zemun, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.
Nataša IlićInstitute for the Application of Nuclear Energy, INEP, University of Belgrade, Zemun-Belgrade, Serbia.
Bernd GiebelInstitute for Transfusion Medicine, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
Maja KosanovićInstitute for the Application of Nuclear Energy, INEP, University of Belgrade, Zemun-Belgrade, Serbia.
University of Belgrade · RSInstitute of Molecular Genetics · RUUniversity of Duisburg-Essen · DEMaize Research Institute Zemun Polje · RS

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is characterized by a wide spectrum of disease severity, whose indicators and underlying mechanisms need to be identified. The role of extracellular vesicles (EVs) in COVID-19 and their biomarker potential, however, remains largely unknown. Aiming to identify specific EV signatures of patients with mild compared to severe COVID-19, we characterized the EV composition of 20 mild and 26 severe COVID-19 patients along with 16 sex and age-matched healthy donors with a panel of eight different antibodies by imaging flow cytometry (IFCM). We correlated the obtained data with 37 clinical, prerecorded biochemical and immunological parameters. Severe patients' sera contained increased amounts of CD13

Indexed as

COVID-19Extracellular VesiclesBiomarkersCytokinesHumansSeverity of Illness IndexBiomarkersCytokinesbiomarkersCOVID-19extracellular vesiclesIFCMMDSCserum

Identifiers

PMID35979935
PMCPMC9451525
OpenAlexW4292244526

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.