Evidence map›Paper›PMID 31225704›Full record

ReviewInfluenza and other respiratory viruses2019

How to assess the effectiveness of nasal influenza vaccines? Role and measurement of sIgA in mucosal secretions.

Elena Gianchecchi, Alessandro Manenti, Otfried Kistner, Claudia Trombetta, Ilaria Manini, Emanuele Montomoli

Open access · goldAbstract readReview
In one paragraph

Review in Influenza and other respiratory viruses, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
3.0field-weighted citation impact, top 8% 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

35 citing papers in PubMed, 44 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

6 authors at 2 institutions in 1 country.

Elena GianchecchiVisMederi Srl, Siena, Italy.ORCID 0000-0002-2512-4101
Alessandro ManentiVisMederi Srl, Siena, Italy.
Otfried KistnerVisMederi Srl, Siena, Italy.
Claudia TrombettaDepartment of Molecular and Developmental Medicine, University of Siena, Siena, Italy.ORCID 0000-0001-7229-9919
Ilaria ManiniDepartment of Molecular and Developmental Medicine, University of Siena, Siena, Italy.
Emanuele MontomoliVisMederi Srl, Siena, Italy.
University of Siena · ITVisMederi Research · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Secretory IgAs (sIgA) constitute the principal isotype of antibodies present in nasal and mucosal secretions. They are secreted by plasma cells adjacent to the mucosal epithelial cells, the site where infection occurs, and are the main humoral mediator of mucosal immunity. Mucosally delivered vaccines, such as live attenuated influenza vaccine (LAIV), are able to mimic natural infection without causing disease or virus transmission and mainly elicit a local immune response. The measurement of sIgA concentrations in nasal swab/wash and saliva samples is therefore a valuable tool for evaluating their role in the effectiveness of such vaccines. Here, we describe two standardized assays (enzyme-linked immunosorbent assay and microneutralization) available for the quantification of sIgA and discuss the advantages and limitations of their use.

Indexed as

Enzyme-Linked Immunosorbent AssayNeutralization TestsAdministration, IntranasalAntibodies, ViralHumansImmunity, MucosalImmunoglobulin A, SecretoryInfluenza VaccinesMucusVaccines, AttenuatedVaccines, InactivatedAntibodies, ViralImmunoglobulin A, SecretoryInfluenza VaccinesVaccines, AttenuatedVaccines, Inactivatedenzyme-linked immunosorbent assayinfluenza vaccinesinfluenza virusmucosal immunitysecretory IgAs

Identifiers

PMID31225704
PMCPMC6692539
OpenAlexW2950072531

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.