Evidence map›Paper›PMID 35740951›Full record

ArticleBiomolecules2022

SCD14-ST and New Generation Inflammatory Biomarkers in the Prediction of COVID-19 Outcome.

Emanuela Galliera, Luca Massaccesi, Lina Yu, Jianwen He, Marco Ranucci, Massimiliano M Corsi Romanelli

Open access · goldAbstract read
In one paragraph

Article in Biomolecules, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
0.9field-weighted citation impact, top 26% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Novel inflammatory biomarkers in the prognosis of COVID-19.Therapeutic advances in respiratory disease
    Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. 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

6 authors at 3 institutions in 2 countries.

Emanuela GallieraDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0002-0764-3178
Luca MassaccesiDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0002-2690-7095
Lina YuR&D Department, Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, China.
Jianwen HeR&D Department, Mindray Bio-Medical Electronics Co., Ltd., Shenzhen 518057, China.ORCID 0000-0002-2841-9976
Marco RanucciDepartment of Cardiovascular Anesthesia and Intensive Care, IRCCS Policlinico San Donato, 20097 Milan, Italy.
Massimiliano M Corsi RomanelliDepartment of Biomedical Sciences for Health, Università degli Studi di Milano, 20133 Milan, Italy.ORCID 0000-0001-7928-7697
University of Milan · ITMindray (China) · CNIRCCS Policlinico San Donato · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since no definitive cure for COVID-19 is available so far, one of the challenges against the disease is understanding the clinical features and the laboratory inflammatory markers that can differentiate among different severity grades of the disease. The aim of the present study is a comprehensive and longitudinal evaluation of SCD14-ST and other new inflammatory markers, as well as cytokine storm molecules and current inflammatory parameters, in order to define a panel of biomarkers that could be useful for a better prognostic prediction of COVID-19 mortality. SCD14-ST, as well as the inflammatory markers IL-6, IL-10, SuPAR and sRAGE, were measured in plasma-EDTA of ICU COVID-19 positive patients. In this longitudinal study, SCD14-ST resulted significantly higher in patients who eventually died compared to those who were discharged from the ICU. The results suggest that the new infection biomarker SCD14-ST, in addition to new generation inflammatory biomarkers, such as SuPAR, sRAGE and the cytokines IL-6 and IL-10, can be a useful prognostic tool associated with canonical inflammatory parameters, such as CRP, to predict SARS-CoV-2 outcome in ICU patients.

Indexed as

COVID-19Lipopolysaccharide ReceptorsBiomarkersHumansInterleukin-10Interleukin-6Longitudinal StudiesReceptors, Urokinase Plasminogen ActivatorSARS-CoV-2BiomarkersInterleukin-10Interleukin-6Lipopolysaccharide ReceptorsReceptors, Urokinase Plasminogen Activatorimmune biomarkersprediction of diseaseSARS-CoV-2SCD14-ST

Identifiers

PMID35740951
PMCPMC9220996
OpenAlexW4282824239

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.