Evidence map›Paper›PMID 36992339›Full record

Observational studyViruses2023

Baseline Plasma Osteopontin Protein Elevation Predicts Adverse Outcomes in Hospitalized COVID-19 Patients.

Stelvio Tonello, Davide D'Onghia, Daria Apostolo, Erica Matino, Martina Costanzo, Giuseppe Francesco Casciaro, Alessandro Croce, Eleonora Rizzi, Erika Zecca, Anita Rebecca Pedrinelli and 13 more

Open access · goldAbstract readObservational Study
In one paragraph

Observational study in Viruses, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
2.7field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 11 citations in OpenAlex.

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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

23 authors at 2 institutions in 1 country.

Stelvio TonelloDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0002-0836-0890
Davide D'OnghiaDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0002-3196-940X
Daria ApostoloDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0002-2416-7468
Erica MatinoDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Martina CostanzoDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Giuseppe Francesco CasciaroDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0003-1420-4058
Alessandro CroceDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Eleonora RizziDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Erika ZeccaDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Anita Rebecca PedrinelliDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Veronica VassiaDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0002-7097-0710
Paolo RavaniniUnit of Microbiology and Virology, Department of Laboratory Medicine, Maggiore della Carità Hospital, 28100 Novara, Italy.
Maria Grazia CrobuUnit of Microbiology and Virology, Department of Laboratory Medicine, Maggiore della Carità Hospital, 28100 Novara, Italy.
Manuela RizziDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0002-6174-7111
Raffaella LandiDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Luigi Mario CastelloDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0001-8248-1976
Rosalba MinisiniDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0002-7548-9731
Gian Carlo AvanziDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0001-7611-8345
Mario PirisiDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.
Daniele LilleriUnit of Microbiology and Virology, IRCCS Policlinico San Matteo Foundation, 27100 Pavia, Italy.ORCID 0000-0001-7747-7622
Mattia BellanDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0003-1488-8736
Donato ColangeloDepartment of Health Sciences, Pharmacology, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0003-2277-3226
Pier Paolo SainaghiDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), 28100 Novara, Italy.ORCID 0000-0001-8322-9158
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITPoliclinico San Matteo Fondazione · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

More than three years have passed since the first case, and COVID-19 is still a health concern, with several open issues such as the lack of reliable predictors of a patient's outcome. Osteopontin (OPN) is involved in inflammatory response to infection and in thrombosis driven by chronic inflammation, thus being a potential biomarker for COVID-19. The aim of the study was to evaluate OPN for predicting negative (death or need of ICU admission) or positive (discharge and/or clinical resolution within the first 14 days of hospitalization) outcome. We enrolled 133 hospitalized, moderate-to-severe COVID-19 patients in a prospective observational study between January and May 2021. Circulating OPN levels were measured by ELISA at admission and at day 7. The results showed a significant correlation between higher plasma concentrations of OPN at hospital admission and a worsening clinical condition. At multivariate analysis, after correction for demographic (age and gender) and variables of disease severity (NEWS2 and PiO2/FiO2), OPN measured at baseline predicted an adverse prognosis with an odds ratio of 1.01 (C.I. 1.0-1.01). At ROC curve analysis, baseline OPN levels higher than 437 ng/mL predicted a severe disease evolution with 53% sensitivity and 83% specificity (area under the curve 0.649,

Indexed as

COVID-19BiomarkersHumansOsteopontinPrognosisROC CurveBiomarkersOsteopontinbiomarkerCOVID-19inflammationOsteopontin (OPN)SARS-CoV-2

Identifiers

PMID36992339
PMCPMC10054745
OpenAlexW4322501763

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.