Evidence map›Paper›PMID 37493737›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2023

The CXCL9/10/11-CXCR3 axis as a predictor of COVID-19 progression: a prospective, case-control study.

Neslihan Çelik, Onur Çelik, Esra Laloğlu, Alev Özkaya

Open access · diamondAbstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.3field-weighted citation impact, top 11% 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

9 citing papers in PubMed, 12 citations in OpenAlex.

  1. Trial
  2. Article
  3. COVID-19 and Lung Cancer Interactions: A Literature Review.Medical sciences (Basel, Switzerland) · 2025
    Review
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  5. Article
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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

4 authors at 2 institutions in 1 country.

Neslihan ÇelikHealth Sciences University, Erzurum Regional Education and Research Hospital, Department of Infection Diseases and Clinical Microbiology, Erzurum, Turkey.ORCID http://orcid.org/0000-0003-4543-9247
Onur ÇelikHealth Sciences University, Erzurum Regional Education and Research Hospital, Department of Chest Diseases, Erzurum, Turkey.ORCID http://orcid.org/0000-0002-9000-4851
Esra LaloğluAtaturk University School of Medicine, Department of Biochemistry, Erzurum, Turkey.ORCID http://orcid.org/0000-0001-5189-3564
Alev ÖzkayaHealth Sciences University, Erzurum Regional Education and Research Hospital, Department of Biochemistry, Erzurum, Turkey.ORCID http://orcid.org/0000-0002-2033-3692
Erzurum Regional Training and Research Hospital · TRAtatürk University · TR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study examined the relationship between levels of the chemokines CXCL9, CXCL10, CXCL11, and CXCR3 and mortality in patients with COVID-19..

methodsA total of 71 patients hospitalized with COVID-19 and 35 health workers with no symptoms and negative SARS-CoV-2 PCR results were included in the study. CXCL9, CXCL10, CXCL11, and CXCR3 levels were measured in blood samples using enzyme-linked immunosorbent assays. Participants were divided into three groups: healthy individuals, patients with mild to moderate pneumonia, and patients with severe pneumonia. Patients were also divided into sub-groups according to the outcome: dead and survived.

resultsSerum CXCL9, CXCL10, CXCL11, and CXCR3 levels were significantly higher in patients with severe COVID-19 than in those with non-severe COVID-19; were higher in both patient groups than in the control group; and were higher in patients who died than in those who survived. Lymphocyte counts, and fibrinogen and PaO2/FiO2 levels were significantly lower in patients with severe COVID-19 than in those with moderate disease. Patients with COVID-19 also had elevated neutrophil/lymphocyte ratios, neutrophil counts, and lactate dehydrogenase, C-reactive protein, D-dimer, and ferritin levels.

conclusionsThis study confirmed that CXCL9, CXCL10, CXCL11, and CXCR3 levels are associated with disease severity in patients with COVID-19. These laboratory parameters can help to estimate disease severity and predict outcomes, and are useful in clinical decision-making.

Indexed as

Chemokine CXCL10COVID-19Case-Control StudiesChemokine CXCL9HumansProspective StudiesReceptors, CXCR3SARS-CoV-2Chemokine CXCL10Chemokine CXCL9CXCL9 protein, humanCXCR3 protein, humanReceptors, CXCR3

Identifiers

PMID37493737
PMCPMC10367208
OpenAlexW4385199290

What OpenQuestion holds

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LicenceCC BY
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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.