Evidence map›Paper›PMID 40284898›Full record

ArticleViruses2025

Predictors of Unfavorable Outcomes in COVID-19-Related Sepsis: A Prospective Cohort Study.

Diana-Maria Mateescu, Ioana Cotet, Cristina Guse, Catalin Prodan-Barbulescu, Norberth-Istvan Varga, Stela Iurciuc, Maria-Laura Craciun, Adrian-Cosmin Ilie, Alexandra Enache

Abstract read
In one paragraph

Article in Viruses, 2025. 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
–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

9 citing papers in PubMed.

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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.

Diana-Maria MateescuDoctoral School, Department of General Medicine, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.ORCID 0009-0009-4951-1702
Ioana CotetDoctoral School, Department of General Medicine, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Cristina GuseDoctoral School, Department of General Medicine, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Catalin Prodan-BarbulescuDoctoral School, Department of General Medicine, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.ORCID 0000-0003-4348-5469
Norberth-Istvan VargaDoctoral School, Department of General Medicine, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.ORCID 0009-0002-0320-6904
Stela IurciucCardiology Department, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Maria-Laura CraciunCardiology Department, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Adrian-Cosmin IlieDepartment III Functional Sciences, Division of Public Health and Management, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.
Alexandra EnacheDiscipline of Forensic Medicine, Bioethics, Deontology and Medical Law, Department of Neuroscience, "Victor Babes" University of Medicine and Pharmacy, Eftimie Murgu Square 2, 300041 Timisoara, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sepsis is a leading cause of mortality in critically ill patients, arising from a dysregulated immune response to infection. While traditionally associated with bacterial pathogens, severe COVID-19 can induce a sepsis-like syndrome, characterized by systemic inflammation, endothelial dysfunction, and coagulation abnormalities. This study aimed to assess the prognostic value of age, inflammatory markers, coagulation dysfunction, comorbidity burden, and lung involvement on computer tomography (CT) scans in predicting poor outcomes. We conducted a prospective cohort study including 163 patients diagnosed with COVID-19-related sepsis. Univariate and multivariable logistic regression analyses were performed to identify the independent predictors of unfavorable outcomes. Higher D-dimer (OR: 1.417,

Indexed as

COVID-19SepsisAdultAgedAged, 80 and overBiomarkersComorbidityC-Reactive ProteinFemaleFibrin Fibrinogen Degradation ProductsHumansLungMaleMiddle AgedPrognosisProspective StudiesBiomarkersC-Reactive ProteinFibrin Fibrinogen Degradation Productsfibrin fragment DCOVID-19COVID-19-related sepsissepsissepsis biomarkerssevere COVID-19viral sepsis

Identifiers

PMID40284898
PMCPMC12031614

What OpenQuestion holds

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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.