Evidence map›Paper›PMID 35179604›Full record

ArticleJournal of tropical pediatrics2022

Diagnostic and Prognostic Biomarkers of Coronavirus Disease 2019 in Children.

Pınar Önal, Ayşe Ayzıt Kılınç, Fatma Deniz Aygün, Fatih Aygün, Cansu Durak, Gülşen Akkoç, Ayşe Ağbaş, Murat Elevli, Haluk Çokuğraş

Open access · bronzeAbstract read
In one paragraph

Article in Journal of tropical pediatrics, 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
0.7field-weighted citation impact, top 32% 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, 7 citations in OpenAlex.

  1. Article
  2. Article
  3. Creatine Kinase as a Predictor of Disease Severity in Children with COVID-19.Medical journal of the Islamic Republic of Iran · 2025
    Article
  4. Article
  5. Article
  6. 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

9 authors at 2 institutions in 1 country.

Pınar ÖnalDepartment of Pediatric Infectious Diseases, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, Istanbul 34098, Turkey.ORCID 0000-0002-7143-3132
Ayşe Ayzıt KılınçDepartment of Pediatric Pulmonology, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, Istanbul 34098, Turkey.
Fatma Deniz AygünDepartment of Pediatric Infectious Diseases, Kanuni Sultan Süleyman Training and Research Hospital, Istanbul 34303, Turkey.
Fatih AygünDepartment of Pediatric Intensive Care, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, Istanbul 34098, Turkey.
Cansu DurakDepartment of Pediatric Intensive Care, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, Istanbul 34098, Turkey.
Gülşen AkkoçDepartment of Pediatric Infectious Diseases, University of Health Sciences, Istanbul Haseki Education and Research Hospital, Istanbul 34265, Turkey.
Ayşe AğbaşDepartment of Pediatric Nephrology, University of Health Sciences, Istanbul Haseki Education and Research Hospital, Istanbul 34265, Turkey.
Murat ElevliDepartment of Pediatrics, University of Health Sciences, Haseki Training and Research Hospital, Istanbul 34265, Turkey.
Haluk ÇokuğraşDepartment of Pediatric Infectious Diseases, Cerrahpaşa Faculty of Medicine, İstanbul University-Cerrahpaşa, Istanbul 34098, Turkey.
Istanbul University-Cerrahpaşa · TRHaseki Eğitim ve Araştırma Hastanesi · TR

Funding

Istanbul University- Cerrahpaşa Scientific Research Projects TSG-2020-34877
6 · The paper itself

Abstract

Predictors of early diagnosis and severe infection in children with coronavirus disease 2019 (COVID-19), which has killed more than 4 million people worldwide, have not been identified. However, some biomarkers, including cytokines and chemokines, are associated with the diagnosis, pathogenesis and severity of COVID-19 in adults. We examined whether such biomarkers can be used to predict the diagnosis and prognosis of COVID-19 in pediatric patients. Eighty-nine children were included in the study, comprising three patient groups of 69 patients (6 severe, 36 moderate and 27 mild) diagnosed with COVID-19 by real-time polymerase chain reaction observed for 2-216 months and clinical findings and 20 healthy children in the same age group. Hemogram, coagulation, inflammatory parameters and serum levels of 16 cytokines and chemokines were measured in blood samples and were analyzed and compared with clinical data. Interleukin 1-beta (IL-1β), interleukin-12 (IL-12) and interferon gamma-induced protein 10 (IP-10) levels were significantly higher in the COVID-19 patients (p = 0.035, p = 0.006 and p < 0.001). Additionally, D-dimer and IP-10 levels were higher in the severe group (p = 0.043 for D-dimer, area under the curve = 0.743, p = 0.027 for IP-10). Lymphocytes, C-reactive protein and procalcitonin levels were not diagnostic or prognostic factors in pediatric patients (p = 0.304, p = 0.144 and p = 0.67). Increased IL-1β, IL-12 and IP-10 levels in children with COVID-19 are indicators for early diagnosis, and D-dimer and IP-10 levels are predictive of disease severity. In children with COVID-19, these biomarkers can provide information on prognosis and enable early treatment.

Indexed as

BiomarkersCOVID-19Chemokine CXCL10ChemokinesChildCytokinesFibrin Fibrinogen Degradation ProductsHumansInterleukin-12Interleukin-1betaPrognosisSARS-CoV-2Severity of Illness IndexBiomarkersChemokine CXCL10ChemokinesCXCL10 protein, humanCytokinesFibrin Fibrinogen Degradation Productsfibrin fragment DIL1B protein, humanInterleukin-12Interleukin-1betaCOVID-19pediatrics and cytokine

Identifiers

PMID35179604
PMCPMC8903470
OpenAlexW4205334648

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.