Evidence map›Paper›PMID 37108262›Full record

ReviewInternational journal of molecular sciences2023

COVID-19 Biomarkers at the Crossroad between Patient Stratification and Targeted Therapy: The Role of Validated and Proposed Parameters.

Manuela Rizzi, Davide D'Onghia, Stelvio Tonello, Rosalba Minisini, Donato Colangelo, Mattia Bellan, Luigi Mario Castello, Francesco Gavelli, Gian Carlo Avanzi, Mario Pirisi and 1 more

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
3.5field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Utility of Protein Markers in COVID-19 Patients.International journal of molecular sciences · 2025
    Review
  7. COVID-19: Lessons Learned from Molecular and Clinical Research.International journal of molecular sciences · 2025
    Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. Article
  13. Review
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

11 authors at 1 institution in 1 country.

Manuela RizziDepartment of Health Sciences, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-6174-7111
Davide D'OnghiaDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-3196-940X
Stelvio TonelloDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-0836-0890
Rosalba MinisiniDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-7548-9731
Donato ColangeloDepartment of Health Sciences, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0003-2277-3226
Mattia BellanDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0003-1488-8736
Luigi Mario CastelloDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0001-8248-1976
Francesco GavelliDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-0581-245X
Gian Carlo AvanziDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.
Mario PirisiDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0001-9740-0155
Pier Paolo SainaghiDepartment of Translational Medicine, Università del Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0001-8322-9158
Università degli Studi del Piemonte Orientale “Amedeo Avogadro” · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical knowledge about SARS-CoV-2 infection mechanisms and COVID-19 pathophysiology have enormously increased during the pandemic. Nevertheless, because of the great heterogeneity of disease manifestations, a precise patient stratification at admission is still difficult, thus rendering a rational allocation of limited medical resources as well as a tailored therapeutic approach challenging. To date, many hematologic biomarkers have been validated to support the early triage of SARS-CoV-2-positive patients and to monitor their disease progression. Among them, some indices have proven to be not only predictive parameters, but also direct or indirect pharmacological targets, thus allowing for a more tailored approach to single-patient symptoms, especially in those with severe progressive disease. While many blood test-derived parameters quickly entered routine clinical practice, other circulating biomarkers have been proposed by several researchers who have investigated their reliability in specific patient cohorts. Despite their usefulness in specific contexts as well as their potential interest as therapeutic targets, such experimental markers have not been implemented in routine clinical practice, mainly due to their higher costs and low availability in general hospital settings. This narrative review will present an overview of the most commonly adopted biomarkers in clinical practice and of the most promising ones emerging from specific population studies. Considering that each of the validated markers reflects a specific aspect of COVID-19 evolution, embedding new highly informative markers into routine clinical testing could help not only in early patient stratification, but also in guiding a timely and tailored method of therapeutic intervention.

Indexed as

COVID-19BiomarkersHospitalizationHumansReproducibility of ResultsSARS-CoV-2Biomarkersbiomarkerscalcitonin gene-related peptide (CGRP)COVID-19C-reactive protein (CRP)D-dimerferritingrowth arrest-specific gene 6 (Gas6)IFN-inducible protein 10 (IP10)interleukin 6 (IL6)neutrophil-to-lymphocyte ratio (NLR)osteopontin (OPN)red cell distribution width (RDW)SARS-CoV-2 viremia

Identifiers

PMID37108262
PMCPMC10138390
OpenAlexW4365149615

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.