Evidence map›Paper›PMID 35242241›Full record

Observational studyDisease markers2022

Prognostic Markers in Hospitalized COVID-19 Patients: The Role of IP-10 and C-Reactive Protein.

Manuela Rizzi, Martina Costanzo, Stelvio Tonello, Erica Matino, Francesco Giuseppe Casciaro, Alessandro Croce, Eleonora Rizzi, Erika Zecca, Anita Pedrinelli, Veronica Vassia and 9 more

Open access · hybridAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Disease markers, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 8% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 27 citations in OpenAlex.

  1. Pooled it
  2. Trial
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  4. Utility of Protein Markers in COVID-19 Patients.International journal of molecular sciences · 2025
    Review
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  9. Observational
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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

19 authors at 2 institutions in 1 country.

Manuela RizziRheumatology Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0002-6174-7111
Martina CostanzoDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0002-1042-2982
Stelvio TonelloDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), Novara 28100, Italy.ORCID https://orcid.org/0000-0002-0836-0890
Erica MatinoDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0002-2501-6645
Francesco Giuseppe CasciaroDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0003-1420-4058
Alessandro CroceDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0003-3547-1913
Eleonora RizziDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0001-9615-2452
Erika ZeccaDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0003-2134-6986
Anita PedrinelliDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0001-8390-9532
Veronica VassiaDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0002-7097-0710
Raffaella LandiDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0003-0492-553X
Mattia BellanRheumatology Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0003-1488-8736
Luigi Mario CastelloDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), Novara 28100, Italy.ORCID https://orcid.org/0000-0001-8248-1976
Rosalba MinisiniDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), Novara 28100, Italy.ORCID https://orcid.org/0000-0002-7548-9731
Venkata Ramana MallelaRheumatology Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0001-9664-481X
Gian Carlo AvanziDepartment of Translational Medicine, Università del Piemonte Orientale (UPO), Novara 28100, Italy.ORCID https://orcid.org/0000-0001-7611-8345
Mario PirisiDepartment of Internal Medicine and COVID-19 Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/0000-0001-9740-0155
Daniele LilleriUnit of Microbiology and Virology, IRCCS Policlinico San Matteo Foundation, Pavia 27100, Italy.ORCID https://orcid.org/0000-0001-7747-7622
Pier Paolo SainaghiRheumatology Unit, AOU "Maggiore della Carità", Novara 28100, Italy.ORCID https://orcid.org/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

backgroundSARS-CoV-2 is responsible for COVID-19, a clinically heterogeneous disease, ranging from being completely asymptomatic to life-threating manifestations. An unmet clinical need is the identification at disease onset or during its course of reliable biomarkers allowing patients' stratification according to disease severity. In this observational prospective cohort study, patients' immunologic and laboratory signatures were analyzed to identify independent predictors of unfavorable (either death or intensive care unit admission need) or favorable (discharge and/or clinical resolution within the first 14 days of hospitalization) outcome.

methodsBetween January and May 2021 (third wave of the pandemic), we enrolled 139 consecutive SARS-CoV-2 positive patients hospitalized in Northern Italy to study their immunological and laboratory signatures. Multiplex cytokine, chemokine, and growth factor analysis, along with routine laboratory tests, were performed at baseline and after 7 days of hospital stay.

resultsAccording to their baseline characteristics, the majority of our patients experienced a moderate to severe illness. At multivariate analysis, the only independent predictors of disease evolution were the serum concentrations of IP-10 (at baseline) and of C-reactive protein (CRP) after 7 days of hospitalization. Receiver-operating characteristic (ROC) curve analysis confirmed that baseline IP - 10 > 4271 pg/mL and CRP > 2.3 mg/dL at 7 days predict a worsening in clinical conditions (87% sensitivity, 66% specificity, area under the curve (AUC) 0.772,

conclusionsAccording to our results, baseline IP-10 and CRP after 7 days of hospitalization could be useful in driving clinical decisions tailored to the expected disease trajectory in hospitalized COVID-19 patients.

Indexed as

AgedArea Under CurveBiomarkersChemokine CXCL10COVID-19C-Reactive ProteinFemaleHospitalizationHumansItalyMaleMiddle AgedNerve Tissue ProteinsPatient AcuityPentraxinsPrognosisBiomarkersChemokine CXCL10C-Reactive ProteinCXCL10 protein, humanNerve Tissue ProteinsPentraxins

Identifiers

PMID35242241
PMCPMC8886756
OpenAlexW4214637964

What OpenQuestion holds

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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.