Evidence map›Paper›PMID 36979918›Full record

ArticleBiomedicines2023

Natural Course of COVID-19 and Independent Predictors of Mortality.

Luana Orlando, Gianluca Bagnato, Carmelo Ioppolo, Maria Stella Franzè, Maria Perticone, Antonio Giovanni Versace, Angela Sciacqua, Vincenzo Russo, Arrigo Francesco Giuseppe Cicero, Alberta De Gaetano and 6 more

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In one paragraph

Article in Biomedicines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

16 authors.

Luana OrlandoDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.
Gianluca BagnatoDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0002-7594-8520
Carmelo IoppoloDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0003-2918-3528
Maria Stella FranzèDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0002-9815-5275
Maria PerticoneDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Antonio Giovanni VersaceDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.
Angela SciacquaDepartment of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, 88100 Catanzaro, Italy.
Vincenzo RussoDepartment of Medical Translational Sciences, Division of Cardiology, Monaldi Hospital, University of Campania "Luigi Vanvitelli", 80100 Naples, Italy.ORCID 0000-0002-9227-0360
Arrigo Francesco Giuseppe CiceroIRCCS Policlinico S. Orsola-Malpighi, Hypertension and Cardiovascular risk Research Center, DIMEC, University of Bologna, 40100 Bologna, Italy.ORCID 0000-0002-4367-3884
Alberta De GaetanoDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.
Giuseppe DattiloDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0002-6681-0183
Federica FogacciIRCCS Policlinico S. Orsola-Malpighi, Hypertension and Cardiovascular risk Research Center, DIMEC, University of Bologna, 40100 Bologna, Italy.
Maria Concetta TringaliDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.
Pierpaolo Di MiccoDepartment of Medicine, PO Santa Maria delle Grazie Pozzuoli, 80100 Naples, Italy.ORCID 0000-0002-8484-4598
Giovanni SquadritoDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.
Egidio ImbalzanoDepartment of Clinical and Experimental Medicine, University of Messina, 98125 Messina, Italy.ORCID 0000-0003-2656-5467

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDuring the SARS-CoV-2 pandemic, several biomarkers were shown to be helpful in determining the prognosis of COVID-19 patients. The aim of our study was to evaluate the prognostic value of N-terminal pro-Brain Natriuretic Peptide (NT-pro-BNP) in a cohort of patients with COVID-19.

methodsOne-hundred and seven patients admitted to the Covid Hospital of Messina University between June 2022 and January 2023 were enrolled in our study. The demographic, clinical, biochemical, instrumental, and therapeutic parameters were recorded. The primary outcome was in-hospital mortality. A comparison between patients who recovered and were discharged and those who died during the hospitalization was performed. The independent parameters associated with in-hospital death were assessed by multivariable analysis and a stepwise regression logistic model.

resultsA total of 27 events with an in-hospital mortality rate of 25.2% occurred during our study. Those who died during hospitalization were older, with lower GCS and PaO

conclusionsThis study shows that NT-pro-BNP levels, PT, and PaO

Indexed as

biomarkerscoronavirus diseaseCOVID-19NT-pro-BNPPaO2/FiO2prothrombin timeSARS-CoV-2

Identifiers

PMID36979918
PMCPMC10046319

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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.