Evidence map›Paper›PMID 36380007›Full record

SynthesisClinical and experimental medicine2023

Presepsin levels and COVID-19 severity: a systematic review and meta-analysis.

Matteo Guarino, Benedetta Perna, Martina Maritati, Francesca Remelli, Caterina Trevisan, Michele Domenico Spampinato, Anna Costanzini, Stefano Volpato, Carlo Contini, Roberto De Giorgio

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Clinical and experimental medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Review
  11. 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

10 authors.

Matteo GuarinoDepartment of Translational Medicine, St. Anna University Hospital of Ferrara, University Ferrara, Via A. Moro, 44124,, Ferrara, Italy.
Benedetta PernaDepartment of Translational Medicine, St. Anna University Hospital of Ferrara, University Ferrara, Via A. Moro, 44124,, Ferrara, Italy.
Martina MaritatiInfectious and Dermatology Diseases, St. Anna University Hospital of Ferrara, University of Ferrara, Ferrara, Italy.
Francesca RemelliDepartment of Medical Sciences, St. Anna University Hospital of Ferrara, University of Ferrara, Ferrara, Italy.
Caterina TrevisanDepartment of Medical Sciences, St. Anna University Hospital of Ferrara, University of Ferrara, Ferrara, Italy.
Michele Domenico SpampinatoDepartment of Translational Medicine, St. Anna University Hospital of Ferrara, University Ferrara, Via A. Moro, 44124,, Ferrara, Italy.
Anna CostanziniDepartment of Translational Medicine, St. Anna University Hospital of Ferrara, University Ferrara, Via A. Moro, 44124,, Ferrara, Italy.
Stefano VolpatoDepartment of Medical Sciences, St. Anna University Hospital of Ferrara, University of Ferrara, Ferrara, Italy.
Carlo ContiniInfectious and Dermatology Diseases, St. Anna University Hospital of Ferrara, University of Ferrara, Ferrara, Italy.
Roberto De GiorgioDepartment of Translational Medicine, St. Anna University Hospital of Ferrara, University Ferrara, Via A. Moro, 44124,, Ferrara, Italy. dgrrrt@unife.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Plasmatic presepsin (PSP) is a novel biomarker reported to be useful for sepsis diagnosis and prognosis. During the pandemic, only few studies highlighted a possible correlation between PSP and COVID-19 severity, but results remain inconsistent. The present study aims to establish the correlation between PSP and COVID-19 severity. English-language papers assessing a correlation between COVID-19 and PSP from MEDLINE, PubMed, Google Scholar, Cochrane Library, MeSH, LitCovid NLM, EMBASE, CINAHL Plus and the World Health Organization (WHO) website, published from January 2020 were considered with no publication date limitations. Two independent reviewers performed data abstraction and quality assessment, and one reviewer resolved inconsistencies. The protocol was registered on PROSPERO (CRD42022325971).Fifteen articles met our eligibility criteria. The aggregate study population included 1373 COVID-19 patients who had undergone a PSP assessment. The random-effect meta-analysis was performed in 7 out of 15 selected studies, considering only those reporting the mean PSP levels in low- and high-severity cases (n = 707).The results showed that the pooled mean difference of PSP levels between high- and low-severity COVID-19 patients was 441.70 pg/ml (95%CI: 150.40-732.99 pg/ml).Our data show that presepsin is a promising biomarker that can express COVID-19 severity.

Indexed as

COVID-19SepsisBiomarkersHumansLipopolysaccharide ReceptorsPandemicsPeptide FragmentsPrognosisBiomarkersLipopolysaccharide ReceptorsPeptide Fragmentspresepsin protein, humanCOVID-19Disease severityPresepsinSARS-CoV-2

Identifiers

PMID36380007
PMCPMC9666937

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.