Evidence map›Paper›PMID 37052252›Full record

ArticleAnnals of medicine2023

External validation of unsupervised COVID-19 clinical phenotypes and their prognostic impact.

Daniele Roberto Giacobbe, Emilio Di Maria, Alberto Stefano Tagliafico, Martina Bavastro, Carlo Simone Trombetta, Cristina Marelli, Gabriele Di Meco, Greta Cattardico, Sara Mora, Alessio Signori and 16 more

Abstract read
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In one paragraph

Article in Annals of medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

26 authors.

Daniele Roberto GiacobbeDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.ORCID 0000-0003-2385-1759
Emilio Di MariaDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.ORCID 0000-0002-8357-2658
Alberto Stefano TagliaficoDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Martina BavastroDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Carlo Simone TrombettaDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Cristina MarelliClinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Gabriele Di MecoClinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Greta CattardicoDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Sara MoraDepartment of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Genoa, Italy.
Alessio SignoriSection of Biostatistics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Antonio VenaDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Malgorzata MikulskaDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Chiara DentoneClinica Malattie Infettive, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Bianca BruzzoneHygiene Unit, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.ORCID 0000-0002-3456-1899
Bianca BignottiDepartment of Radiology, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Andrea OrsiDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Chiara RobbaDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.ORCID 0000-0003-1628-3845
Lorenzo BallDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.
Iole BrunettiAnesthesia and Intensive Care, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Denise BattagliniAnesthesia and Intensive Care, IRCCS Ospedale Policlinico San Martino, Genoa, Italy.
Antonio Di BiagioDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.ORCID 0000-0003-1436-5089
Maria Pia SormaniSection of Biostatistics, Department of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Paolo PelosiDepartment of Surgical Sciences and Integrated Diagnostics (DISC), University of Genoa, Genoa, Italy.ORCID 0000-0002-8459-2730
Mauro GiacominiDepartment of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS), University of Genoa, Genoa, Italy.
Giancarlo IcardiDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.
Matteo BassettiDepartment of Health Sciences (DISSAL), University of Genoa, Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHospitalized patients with coronavirus disease 2019 (COVID-19) can be classified into different clinical phenotypes based on their demographic, clinical, radiology, and laboratory features. We aimed to validate in an external cohort of hospitalized COVID-19 patients the prognostic value of a previously described phenotyping system (FEN-COVID-19) and to assess the reproducibility of phenotypes development as a secondary analysis.

methodsPatients were classified in phenotypes A, B or C according to the severity of oxygenation impairment, inflammatory response, hemodynamic and laboratory tests according to the FEN-COVID-19 method.

resultsOverall, 992 patients were included in the study, and 181 (18%), 757 (76%) and 54 (6%) of them were assigned to the FEN-COVID-19 phenotypes A, B, and C, respectively. An association with mortality was observed for phenotype C vs. A (hazard ratio [HR] 3.10, 95% confidence interval [CI] 1.81-5.30,

conclusionsThe prognostic impact of FEN-COVID-19 phenotypes was confirmed in our external cohort, although with less difference in mortality between phenotypes A and B than in the original study.

Indexed as

COVID-19HumansPrognosisProportional Hazards ModelsReproducibility of ResultsRetrospective StudiesSARS-CoV-2COVID-19external validationpandemicphenotypesprognosisSARS-CoV-2unsupervised clustering

Identifiers

PMID37052252
PMCPMC10116925

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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.