Evidence map›Paper›PMID 38793085›Full record

ArticleJournal of personalized medicine2024

Inflammatory Biomarkers for Assessing In-Hospital Mortality Risk in Severe COVID-19-A Retrospective Study.

Erika Bimbo-Szuhai, Mihai Octavian Botea, Dana Diana Romanescu, Corina Beiusanu, Gabriela Maria Gavrilas, Georgiana Maria Popa, Dania Antal, Mihaela Gabriela Bontea, Liliana Sachelarie, Iulia Codruta Macovei

Abstract read
In one paragraph

Article in Journal of personalized medicine, 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. Article
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

10 authors.

Erika Bimbo-SzuhaiDepartment of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.ORCID 0000-0001-7844-1111
Mihai Octavian BoteaPelican Hospital, 410450 Oradea, Romania.ORCID 0000-0003-3390-2812
Dana Diana RomanescuPelican Hospital, 410450 Oradea, Romania.ORCID 0000-0002-6002-8975
Corina BeiusanuDepartment of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.
Gabriela Maria GavrilasDepartment of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.
Georgiana Maria PopaPelican Hospital, 410450 Oradea, Romania.
Dania AntalPelican Hospital, 410450 Oradea, Romania.
Mihaela Gabriela BonteaDepartment of Morphological Disciplines, Faculty of Medicine and Pharmacy, University of Oradea, 410073 Oradea, Romania.
Liliana SachelarieDepartment of Preclinical Disciplines Apollonia, Faculty of Medicine, University from Iasi, 700511 Iași, Romania.ORCID 0000-0001-7701-2307
Iulia Codruta MacoveiPelican Hospital, 410450 Oradea, Romania.ORCID 0009-0001-4196-0994

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: Our study aims to investigate the utility of inflammatory factors as prognostic indicators for disease severity and mortality in COVID-19 patients admitted to the Intensive Care Unit (ICU) Department of Pelican Clinical Hospital Oradea Romania. While elevated white blood cell (WBC) levels are associated with COVID-19 severity and mortality, they may not effectively predict the risk of death; (2) Methods: In our ICU department, we conducted assessments on the 10th and 14th days of COVID-19 patients' hospitalization, measuring the following markers: C-reactive protein (CRP) levels, procalcitonin (PCT) levels, granulocytes/lymphocytes (G/L) ratios, ferritin levels, age, and obesity status. We included a total of 209 eligible COVID-19 patients in the final analysis. Our goal was to identify biomarkers that could quickly identify high-risk patients with a potential for disease progression and mortality; (3) Results: Our study (a retrospective, single-center observational cohort study) demonstrated statistically significant differences in predicting mortality and disease severity based on G/L ratio (

Indexed as

COVID-19 infectionG/L ratiomortality predictors in ICU

Identifiers

PMID38793085
PMCPMC11122362

What OpenQuestion 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 OpenQuestion graph.