Evidence map›Paper›PMID 37239895›Full record

ArticleInternational journal of molecular sciences2023

Inflammatory Response in COVID-19 Depending on the Severity of the Disease and the Vaccination Status.

Felicia Trofin, Eduard Vasile Nastase, Manuel Florin Roșu, Aida Corina Bădescu, Elena Roxana Buzilă, Egidia Gabriela Miftode, Doina Carmen Manciuc, Olivia Simona Dorneanu

Open access · goldAbstract read
In one paragraph

Article in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

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  10. COVID-19 Pandemic: Therapeutic Strategies and Vaccines.International journal of molecular sciences · 2023
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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

8 authors at 1 institution in 1 country.

Felicia TrofinMicrobiology Department, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iasi, Romania.ORCID 0000-0002-8551-3053
Eduard Vasile NastaseClinical Hospital of Infectious Diseases "Sfânta Parascheva", 700116 Iasi, Romania.ORCID 0000-0001-6970-0097
Manuel Florin RoșuClinical Hospital of Infectious Diseases "Sfânta Parascheva", 700116 Iasi, Romania.
Aida Corina BădescuMicrobiology Department, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iasi, Romania.
Elena Roxana BuzilăIasi Regional Center for Public Health, National Institute of Public Health, 700465 Iasi, Romania.
Egidia Gabriela MiftodeClinical Hospital of Infectious Diseases "Sfânta Parascheva", 700116 Iasi, Romania.
Doina Carmen ManciucClinical Hospital of Infectious Diseases "Sfânta Parascheva", 700116 Iasi, Romania.
Olivia Simona DorneanuMicrobiology Department, University of Medicine and Pharmacy "Grigore T. Popa", 700115 Iasi, Romania.ORCID 0000-0001-7720-4499
Grigore T. Popa University of Medicine and Pharmacy · RO

Funding

Grigore T. Popa University of Medicine and Pharmacy Doctoral grant
6 · The paper itself

Abstract

The aim of this study was to analyze the serum concentration of interleukin-6 (IL-6), C-reactive protein (CRP), D-dimer, lactate dehydrogenase (LDH), ferritin, and procalcitonin in COVID-19 patients with different forms of the disease. We performed a prospective cohort study on 137 COVID-19 consecutive patients, divided into four groups according to the severity of the disease as follows: 30 patients in the mild form group, 49 in the moderate form group, 28 in the severe form group, and 30 in the critical form group. The tested parameters were correlated with COVID-19 severity. Significant differences were registered between the form of COVID-19 depending on the vaccination status, between LDH concentrations depending on the virus variant, and in IL-6, CRP, and ferritin concentrations and vaccination status depending on the gender. ROC analysis revealed that D-dimer best predicted COVID-19 severe forms and LDH predicted the virus variant. Our findings confirmed the interdependence relationships observed between inflammation markers in relation to the clinical severity of COVID-19, with all the tested biomarkers increasing in severe and critical COVID-19. IL-6, CRP, ferritin, LDH, and D-dimer were increased in all COVID-19 forms. These inflammatory markers were lower in Omicron-infected patients. The unvaccinated patients developed more severe forms compared to the vaccinated ones, and a higher proportion of them needed hospitalization. D-dimer could predict a severe form of COVID-19, while LDH could predict the virus variant.

Indexed as

COVID-19BiomarkersC-Reactive ProteinFerritinsHumansInterleukin-6Prospective StudiesRetrospective StudiesSARS-CoV-2VaccinationBiomarkersC-Reactive ProteinFerritinsInterleukin-6COVID-19CRPferritinIL-6LDHSARS-CoV-2severity

Identifiers

PMID37239895
PMCPMC10218522
OpenAlexW4376138825

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.