Evidence map›Paper›PMID 32719039›Full record

ArticleAnnals of the rheumatic diseases2020

Lung involvement in macrophage activation syndrome and severe COVID-19: results from a cross-sectional study to assess clinical, laboratory and artificial intelligence-radiological differences.

Piero Ruscitti, Federico Bruno, Onorina Berardicurti, Chiara Acanfora, Viktoriya Pavlych, Pierpaolo Palumbo, Alessandro Conforti, Francesco Carubbi, Ilenia Di Cola, Paola Di Benedetto and 6 more

Open access · greenAbstract readComparative Study
In one paragraph

Article in Annals of the rheumatic diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed
1.0field-weighted citation impact, top 14% 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

27 citing papers in PubMed, 47 citations in OpenAlex.

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  11. Niclosamide for Covid-19: bridging the gap.Molecular biology reports · 2021
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

16 authors at 2 institutions in 1 country.

Piero Ruscitti *Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Federico Bruno *Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Onorina BerardicurtiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.ORCID 0000-0002-2808-1581
Chiara AcanforaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Viktoriya PavlychDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Pierpaolo PalumboDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Alessandro ConfortiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Francesco CarubbiDepartment of Medicine, ASL 1 Avezzano Sulmona L'Aquila, L'Aquila, Abruzzo, Italy.ORCID 0000-0003-1958-5136
Ilenia Di ColaDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Paola Di BenedettoDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.ORCID 0000-0003-2927-8703
Paola CiprianiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Davide GrassiDepartment of Life, Health, and Environmental Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Carlo MasciocchiDepartment of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Annamaria IagnoccoDipartimento Scienze Cliniche e Biologiche, Università degli Studi di Torino, Torino, Piemonte, Italy annamaria.iagnocco1@gmail.com.
Antonio Barile *Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.
Roberto Giacomelli *Department of Biotechnological and Applied Clinical Sciences, University of L'Aquila, L'Aquila, Abruzzo, Italy.ORCID 0000-0003-0670-9638
University of L'Aquila · ITUniversity of Turin · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo evaluate the clinical pictures, laboratory tests and imaging of patients with lung involvement, either from severe COVID-19 or macrophage activation syndrome (MAS), in order to assess how similar these two diseases are.

methodsThe present work has been designed as a cross-sectional single-centre study to compare characteristics of patients with lung involvement either from MAS or severe COVID-19. Chest CT scans were assessed by using an artificial intelligence (AI)-based software.

resultsTen patients with MAS and 47 patients with severe COVID-19 with lung involvement were assessed. Although all patients showed fever and dyspnoea, patients with MAS were characterised by thrombocytopaenia, whereas patients with severe COVID-19 were characterised by lymphopaenia and neutrophilia. Higher values of H-score characterised patients with MAS when compared with severe COVID-19. AI-reconstructed images of chest CT scan showed that apical, basal, peripheral and bilateral distributions of ground-glass opacities (GGOs), as well as apical consolidations, were more represented in severe COVID-19 than in MAS. C reactive protein directly correlated with GGOs extension in both diseases. Furthermore, lymphopaenia inversely correlated with GGOs extension in severe COVID-19.

conclusionsOur data could suggest laboratory and radiological differences between MAS and severe COVID-19, paving the way for further hypotheses to be investigated in future confirmatory studies.

Indexed as

BetacoronavirusAgedArtificial IntelligenceCoronavirus InfectionsCOVID-19Cross-Sectional StudiesFemaleHumansLungMacrophage Activation SyndromeMaleMiddle AgedPandemicsPneumonia, ViralRetrospective StudiesSARS-CoV-2arthritis, juvenileinflammationstill's disease, adult-onset

Identifiers

PMID32719039
PMCPMC7456556
OpenAlexW3044219903

What OpenQuestion holds

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Registered trials

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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.