Evidence map›Paper›PMID 39110087›Full record

Observational studyImmunity, inflammation and disease2024

Notable correlation between serum epidermal growth factor values and inflammatory status in patients with COVID-19.

Héctor José Pérez, Tania Crombet

Abstract readObservational Study
In one paragraph

Observational study in Immunity, inflammation and disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Observational
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

2 authors.

Héctor José PérezCritical Care Division, Saturnino Lora Provincial Hospital, Santiago de Cuba, Cuba.ORCID 0000-0002-4628-7436
Tania CrombetClinical Trials Division, Centre for Molecular Immunology, Havana, Cuba.ORCID 0000-0002-2550-7292

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDespite its crucial role in Epidermal Growth Factor Receptor (EGFR) activation, and the resulting impact on the health-disease process, epidermal growth factor (EGF) is an underexplored molecule in relation to how its serum concentrations relate to other analytes and clinical variables in pathological contexts.

objectiveTo clarify the possible correlation between EGF and clinical and analytical variables in the context of COVID-19.

methodsCross-sectional observational and analytical study, in patients with virological and clinical diagnosis of COVID-19, selected by simple random sampling, admitted between August and September 2021. UMELISA-EGF commercial kits were used.

resultsDifferences in overall EGF values were observed between groups (566.04 vs. 910.53 pg/ml, p = .0430). In COVID-19 patients, no notable correlations were observed for neutrophil, platelet, triglyceride or liver enzyme values (p > .05). Significant correlations were observed with the neutrophil-lymphocyte indicator (r = 0.4711, p = .0128) as well as with the platelet-lymphocyte index (r = 0.4553, p = .0155). Statistical results of multivariate regression analysis suggest NLR (β = .2232, p = .0353) and PLR (β = .2117, p = .0411) are predictors of inflammation in patients with COVID-19.

conclusionsSerum EGF concentrations in COVID-19 correlate positively with prognostic inflammatory markers of severity and could presumably act as an independent risk factor for the development of inflammation in response to new severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Indexed as

COVID-19Epidermal Growth FactorInflammationSARS-CoV-2AdultAgedBiomarkersCross-Sectional StudiesFemaleHumansMaleMiddle AgedNeutrophilsBiomarkersEpidermal Growth FactorCOVID‐19 biomarkersepidermal growth factorserum biomarkers

Identifiers

PMID39110087
PMCPMC11304898

What Socratic holds

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Registered trials

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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 Socratic graph.