Evidence map›Paper›PMID 35681490›Full record

ArticleCells2022

HLA Allele Frequencies and Association with Severity of COVID-19 Infection in Northern Italian Patients.

Franca Rosa Guerini, Elisabetta Bolognesi, Agata Lax, Luca Nicola Cesare Bianchi, Antonio Caronni, Milena Zanzottera, Cristina Agliardi, Maria Paola Albergoni, Paolo Innocente Banfi, Jorge Navarro and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cells, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.0field-weighted citation impact, top 24% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Franca Rosa GueriniIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0001-9461-5927
Elisabetta BolognesiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0001-5554-1697
Agata LaxIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0002-5928-3485
Luca Nicola Cesare BianchiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0003-4932-8288
Antonio CaronniIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0003-3051-1031
Milena ZanzotteraIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.
Cristina AgliardiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.
Maria Paola AlbergoniUOC Immunotrasfusionale Azienda Ospedale, University of Padova, 35128 Padova, Italy.
Paolo Innocente BanfiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0001-8162-0751
Jorge NavarroIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.
Mario ClericiIRCCS Fondazione Don Carlo Gnocchi ONLUS, Via Capecelatro, 66, 20148 Milan, Italy.ORCID 0000-0001-5920-6191
Don Carlo Gnocchi Foundation · ITAzienda Ospedale - Università Padova · ITUniversity of Milan · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

HLA allelic distribution was analysed in a cohort of 96 Northern Italian subjects (53M/43F) (mean age 59.9 ± 13.3 years) from Lombardy who developed COVID-19 during the first two pandemic waves to investigate possible correlations between HLA molecules and disease severity. An important role of HLA- B and HLA-C loci in modulating the clinical severity of COVID-19 disease was identified. In particular, the HLA-B07 supertype was observed to be associated with a significant risk for severe disease; conversely, the HLA-B27 supertype and

Indexed as

COVID-19HLA-B AntigensHLA-C AntigensAgedAllelesGene FrequencyHumansItalyMiddle AgedPandemicsSARS-CoV-2HLA-B AntigensHLA-C AntigensCOVID-19disease severityHLASARS-CoV-2

Identifiers

PMID35681490
PMCPMC9179900
OpenAlexW4281700394

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.