Evidence map›Paper›PMID 35744709›Full record

ArticleMicroorganisms2022

Effects of Antibody Responses to Pre-Existing Coronaviruses on Disease Severity and Complement Activation in COVID-19 Patients.

Massimo Cugno, Pier Luigi Meroni, Dario Consonni, Samantha Griffini, Elena Grovetti, Cristina Novembrino, Adriana Torri, Gloria Griffante, Marisa Gariglio, Luca Varani and 1 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
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 5 institutions in 2 countries.

Massimo CugnoDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0002-9918-0763
Pier Luigi MeroniImmunorheumatology Research Laboratory, IRCCS Istituto Auxologico Italiano, 20145 Milan, Italy.ORCID 0000-0002-3394-1451
Dario ConsonniEpidemiology Unit, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy.ORCID 0000-0002-8935-3843
Samantha GriffiniUOC Medicina Generale-Emostasi e Trombosi, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy.
Elena GrovettiUOC Medicina Generale-Emostasi e Trombosi, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy.
Cristina NovembrinoUOC Medicina Generale-Emostasi e Trombosi, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy.
Adriana TorriUOC Medicina Generale-Emostasi e Trombosi, Department of Internal Medicine, Fondazione IRCCS Ca' Granda, Ospedale Maggiore Policlinico, 20122 Milan, Italy.
Gloria GriffanteVirology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-2578-9621
Marisa GariglioVirology Unit, Department of Translational Medicine, University of Piemonte Orientale, 28100 Novara, Italy.ORCID 0000-0002-5187-0140
Luca VaraniInstitute for Research in Biomedicine, Università della Svizzera italiana (USI), 6500 Bellinzona, Switzerland.
Flora PeyvandiDepartment of Pathophysiology and Transplantation, Università degli Studi di Milano, 20122 Milan, Italy.ORCID 0000-0001-7423-9864
Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico · ITUniversità degli Studi del Piemonte Orientale “Amedeo Avogadro” · ITUniversity of Milan · ITIRCCS Istituto Auxologico Italiano · ITUniversità della Svizzera italiana · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The severity of coronavirus disease 2019 (COVID-19) may be influenced by pre-existing immune responses against endemic coronaviruses, but conflicting data have been reported. We studied 148 patients who were hospitalised because of a confirmed diagnosis of COVID-19, classified mild in 58, moderate in 44, and severe in 46. The controls were 27 healthy subjects. At admission, blood samples were collected for the measurement of biomarkers of disease severity and levels of the IgG against the receptor-binding domain (RBD) of severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) and pre-existing coronaviruses OC43, HKU1, NL63 and 229E. Higher levels of IgG antibodies against the RBD of pre-existing coronavirus (with the highest significance for anti-HKU1 IgG,

Indexed as

229EantibodiescomplementCOVID-19D-dimerendotheliumHKU1neutralisation assayNL63OC43SARS-CoV-2von Willebrand factor

Identifiers

PMID35744709
PMCPMC9228214
OpenAlexW4282555174

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.