Evidence map›Paper›PMID 33225509›Full record

ArticleJournal of medical virology2021

Predictive value of cytokine/chemokine responses for the disease severity and management in children and adult cases with COVID-19.

Yasemin Ozsurekci, Kubra Aykac, Ahmet Gorkem Er, Burcin Halacli, Mehmet Arasli, Pembe Derin Oygar, Sibel Gürlevik, Burcu Ceylan Cura Yayla, Jale Karakaya, Alparslan Alp and 4 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 19% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Observational
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  15. Predicting the Disease Severity of Virus Infection.Advances in experimental medicine and biology · 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

14 authors at 3 institutions in 1 country.

Yasemin OzsurekciDepartment of Pediatric Infectious Diseases, Hacettepe University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0001-8662-6909
Kubra AykacDepartment of Pediatric Infectious Diseases, University of Health Science Ankara Training and Research Hospital, Ankara, Turkey.ORCID 0000-0002-0974-4765
Ahmet Gorkem ErDepartment of Infectious Diseases and Clinical Microbiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Burcin HalacliDepartment of Internal Medicine, Division of Intensive Care Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Mehmet ArasliDepartment of Immunology, Bulent Ecevit University School of Medicine, Zonguldak, Turkey.
Pembe Derin OygarDepartment of Pediatric Infectious Diseases, Hacettepe University Faculty of Medicine, Ankara, Turkey.ORCID 0000-0002-8612-4586
Sibel GürlevikDepartment of Pediatric Infectious Diseases, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Burcu Ceylan Cura YaylaDepartment of Pediatric Infectious Diseases, University of Health Science Ankara Training and Research Hospital, Ankara, Turkey.
Jale KarakayaDepartment of Biostatistics, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Alparslan AlpDepartment of Microbiology and Clinical Microbiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Arzu TopeliDepartment of Internal Medicine, Division of Intensive Care Medicine, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Ali Bülent CengizDepartment of Pediatric Infectious Diseases, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Murat AkovaDepartment of Infectious Diseases and Clinical Microbiology, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Mehmet CeyhanDepartment of Pediatric Infectious Diseases, Hacettepe University Faculty of Medicine, Ankara, Turkey.
Hacettepe University · TRMinistry of Health · TRBülent Ecevit University · TR

Funding

Hacettepe University Research Projects Department THD-2020-18774
6 · The paper itself

Abstract

The disease course of children with coronavirus disease 2019 (COVID-19) seems milder as compared with adults, however, actual reason of the pathogenesis still remains unclear. There is a growing interest on possible relationship between pathogenicity or disease severity and biomarkers including cytokines or chemokines. We wondered whether these biomarkers could be used for the prediction of the prognosis of COVID-19 and improving our understanding on the variations between pediatric and adult cases with COVID-19. The acute phase serum levels of 25 cytokines and chemokines in the serum samples from 60 COVID-19 pediatric (n = 30) and adult cases (n = 30) including 20 severe or critically ill, 25 moderate and 15 mild patients and 30 healthy pediatric (n = 15) and adult (n = 15) volunteers were measured using commercially available fluorescent bead immunoassay and analyzed in combination with clinical data. Interferon gamma-induced protein 10 (IP-10) and macrophage inflammatory protein (MIP)-3β levels were significantly higher in patient cohort including pediatric and adult cases with COVID-19 when compared with all healthy volunteers (p ≤ .001 in each) and whereas IP-10 levels were significantly higher in both pediatric and adult cases with severe disease course, MIP-3β were significantly lower in healthy controls. Additionally, IP-10 is an independent predictor for disease severity, particularly in children and interleukin-6 seems a relatively good predictor for disease severity in adults. IP-10 and MIP-3β seem good research candidates to understand severity of COVID-19 in both pediatric and adult population and to investigate possible pathophysiological mechanism of COVID-19.

Indexed as

Severity of Illness IndexAdolescentAgedBiomarkersChemokine CCL19Chemokine CXCL10ChemokinesChildChild, PreschoolCOVID-19CytokinesDisease ProgressionFemaleHumansInfantInfant, NewbornBiomarkersChemokine CCL19Chemokine CXCL10ChemokinesCXCL10 protein, humanCytokinescoronaviruscritically ill patientpediatricstreatment

Identifiers

PMID33225509
PMCPMC7753701
OpenAlexW3109901723

What OpenQuestion holds

Textmetadata
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.