Evidence map›Paper›PMID 32790181›Full record

ArticleJournal of medical virology2021

Closing the serological gap in the diagnostic testing for COVID-19: The value of anti-SARS-CoV-2 IgA antibodies.

Maria Infantino, Mariangela Manfredi, Valentina Grossi, Barbara Lari, Sergio Fabbri, Maurizio Benucci, Alberto Fortini, Arianna Damiani, Emanuela Maria Mobilia, Marta Panciroli and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in Journal of medical virology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 13% 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, 1 synthesis or guideline pooled it, 42 citations in OpenAlex.

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  16. Antibody response to SARS-CoV-2 for more than one year - kinetics and persistence of detection are predominantly determined by avidity progression and test design.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Article
  17. Article
  18. Point-of-care COVID-19 diagnostics powered by lateral flow assay.Trends in analytical chemistry : TRAC · 2021
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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

12 authors at 4 institutions in 1 country.

Maria InfantinoLaboratorio di Immunologia e Allergologia, Ospedale S. Giovanni di Dio, Firenze, Italy.ORCID 0000-0002-6200-4467
Mariangela ManfrediLaboratorio di Immunologia e Allergologia, Ospedale S. Giovanni di Dio, Firenze, Italy.
Valentina GrossiLaboratorio di Immunologia e Allergologia, Ospedale S. Giovanni di Dio, Firenze, Italy.
Barbara LariLaboratorio di Immunologia e Allergologia, Ospedale S. Giovanni di Dio, Firenze, Italy.
Sergio FabbriLaboratorio di Immunologia e Allergologia, Ospedale S. Giovanni di Dio, Firenze, Italy.
Maurizio BenucciReumatologia, Ospedale S. Giovanni di Dio, Firenze, Italy.
Alberto FortiniSOC Medicina, Ospedale S. Giovanni di Dio, Firenze, Italy.
Arianna DamianiReumatologia, Dipartimento di Medicina Sperimentale e Clinica, Università di Firenze, Italy.
Emanuela Maria MobiliaLaboratorio Diagnostico di Autoimmunologia, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Marta PanciroliDipartimento di Medicina Interna e Specialità Mediche (DIMI), Università degli Studi di Genova, Genova, Italy.
Silvia PancaniIndependent Researcher, Firenze, Italy.
Giampaola PesceLaboratorio Diagnostico di Autoimmunologia, IRCCS Ospedale Policlinico San Martino, Genova, Italy.
Nuovo Ospedale San Giovanni di Dio · ITOspedale Policlinico San Martino · ITUniversity of Florence · ITUniversity of Genoa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

During coronavirus disease 2019 (COVID-19) pandemic, the early diagnosis of patients is a priority. Serological assays, in particular immunoglobulin (Ig)M and IgG anti-severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), have today several applications but the interpretation of their results remains an open challenge. Given the emerging role of the IgA isotype in the COVID-19 diagnostics, we aimed to identify the SARS-CoV-2 IgA antibodies in a COVID-19 population seronegative for IgM. A total of 30 patients hospitalized in San Giovanni di Dio Hospital (Florence, Italy) for COVID-19, seronegative for IgM antibodies, have been studied for anti-SARS-CoV-2 antibodies. They all had a positive oro/nasopharyngeal swab reverse transcription-polymerase chain reaction result. Assays used were a chemiluminescent assay measuring SARS-CoV-2 specific IgM and IgG (S + N) and an ELISA, measuring specific IgG (S1) and IgA antibodies against SARS-CoV-2. Among the 30 patients, eight were positive for IgA, seven were positive for IgG (N + S), and two for IgG (S1), at the first point (5-7 days from the onset of symptoms). The IgA antibodies mean values at the second (9-13 days) and third (21-25 days) time points were even more than twice as high as IgG assays. The agreement between the two IgG assays was moderate (Cohen's K = 0.59; SE = 0.13). The inclusion of the IgA antibodies determination among serological tests of the COVID-19 diagnostic is recommended. IgA antibodies may help to close the serological gap of the COVID-19. Variations among anti-SARS-CoV-2 IgG assays should be considered in the interpretation of results.

Indexed as

COVID-19 Serological TestingAdultAgedAntibodies, ViralCOVID-19Enzyme-Linked Immunosorbent AssayFemaleHumansImmunoassayImmunoglobulin AImmunoglobulin GImmunoglobulin MLuminescent MeasurementsMaleMiddle AgedSARS-CoV-2Antibodies, ViralImmunoglobulin AImmunoglobulin GImmunoglobulin Mantiviral agentsimmune globulinimmune responsesimmunoglobulinSARS coronavirusvirus classification

Identifiers

PMID32790181
PMCPMC7436746
OpenAlexW3048651058

What OpenQuestion holds

Textmetadata
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.