Evidence map›Paper›PMID 34675240›Full record

ArticleScientific reports2021

Cytokine signature and COVID-19 prediction models in the two waves of pandemics.

Serena Cabaro, Vittoria D'Esposito, Tiziana Di Matola, Silvia Sale, Michele Cennamo, Daniela Terracciano, Valentina Parisi, Francesco Oriente, Giuseppe Portella, Francesco Beguinot and 3 more

Registry-linked trialAbstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06940609 (Magnetic Resonance Analysis of Neural Inflammatory Factors and External Stimulation), which is not on this map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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.

NCT06940609 phase2recruitingnot on this mapstarted 2025, after this paper: background citation

Magnetic Resonance Analysis of Neural Inflammatory Factors and External Stimulation (MANIFEST)

TypeinterventionalSponsorUniversity of New MexicoRan2025 to 2029Enrolled60ConditionsLong COVID, Long COVID Syndrome, Long COVID-19 Syndrome, PASCArmsaccelerated intermittent theta burst stimulation
3 · Its place in the literature

Who cites it

44 citing papers in PubMed.

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  2. Dynamic Cytokine and Coagulation Profiling in Patients With Severe COVID‑19 Evaluated for Pulmonary Embolism: A Prospective Cohort Study.Medical science monitor : international medical journal of experimental and clinical research · 2026
    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

13 authors.

Serena Cabaro *Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
Vittoria D'Esposito *Department of Translational Medicine, Federico II University of Naples, Naples, Italy.
Tiziana Di MatolaAzienda Ospedaliera Dei Colli, Naples, Italy.
Silvia SaleAzienda Ospedaliera Dei Colli, Naples, Italy.
Michele CennamoDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy.
Daniela TerraccianoDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy.
Valentina ParisiDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy.
Francesco OrienteDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy.
Giuseppe PortellaDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy.
Francesco BeguinotDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy.
Luigi AtripaldiAzienda Ospedaliera Dei Colli, Naples, Italy.
Mario SansoneDepartment of Electrical Engineering and Information Technology, Federico II University of Naples, Naples, Italy.
Pietro FormisanoDepartment of Translational Medicine, Federico II University of Naples, Naples, Italy. fpietro@unina.it.

Funding

Associazione Italiana per la Ricerca sul Cancro IG-19001Regione Campania COEPICA, RARE-PLATNET, SATINUniversità degli Studi di Napoli Federico II STAR
6 · The paper itself

Abstract

In Europe, multiple waves of infections with SARS-CoV-2 (COVID-19) have been observed. Here, we have investigated whether common patterns of cytokines could be detected in individuals with mild and severe forms of COVID-19 in two pandemic waves, and whether machine learning approach could be useful to identify the best predictors. An increasing trend of multiple cytokines was observed in patients with mild or severe/critical symptoms of COVID-19, compared with healthy volunteers. Linear Discriminant Analysis (LDA) clearly recognized the three groups based on cytokine patterns. Classification and Regression Tree (CART) further indicated that IL-6 discriminated controls and COVID-19 patients, whilst IL-8 defined disease severity. During the second wave of pandemics, a less intense cytokine storm was observed, as compared with the first. IL-6 was the most robust predictor of infection and discriminated moderate COVID-19 patients from healthy controls, regardless of epidemic peak curve. Thus, serum cytokine patterns provide biomarkers useful for COVID-19 diagnosis and prognosis. Further definition of individual cytokines may allow to envision novel therapeutic options and pave the way to set up innovative diagnostic tools.

Indexed as

AgedBiomarkersCase-Control StudiesCOVID-19COVID-19 TestingCytokinesDiscriminant AnalysisFemaleHumansInterleukin-6Interleukin-8ItalyMachine LearningMaleMiddle AgedPandemicsBiomarkersCytokinesInterleukin-6Interleukin-8

Identifiers

PMID34675240
PMCPMC8531346

What OpenQuestion holds

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Registered trials

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.