Evidence map›Paper›PMID 34493482›Full record

ReviewBiomedical journal2021

Modified ELISA for antibody avidity evaluation: The need for standardization.

Victor Araujo Correa, Thais Sousa Rodrigues, Amanda Izeli Portilho, Gabriela Trzewikoswki de Lima, Elizabeth De Gaspari

Open access · goldAbstract readReview
In one paragraph

Review in Biomedical journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
3.6field-weighted citation impact, top 6% 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

25 citing papers in PubMed, 51 citations in OpenAlex.

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  15. IgY Antibodies from Birds: A Review on Affinity and Avidity.Animals : an open access journal from MDPI · 2023
    Review
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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

5 authors at 2 institutions in 1 country.

Victor Araujo CorreaAdolfo Lutz Institute, Immunology Division, Sao Paulo, Brazil; Sao Paulo University, Biomedical Sciences Institute, Post-Graduation Program Interunity in Biotechnology, Sao Paulo, Brazil.
Thais Sousa RodriguesAdolfo Lutz Institute, Immunology Division, Sao Paulo, Brazil.
Amanda Izeli PortilhoAdolfo Lutz Institute, Immunology Division, Sao Paulo, Brazil; Sao Paulo University, Biomedical Sciences Institute, Post-Graduation Program Interunity in Biotechnology, Sao Paulo, Brazil.
Gabriela Trzewikoswki de LimaAdolfo Lutz Institute, Immunology Division, Sao Paulo, Brazil; Sao Paulo University, Biomedical Sciences Institute, Post-Graduation Program Interunity in Biotechnology, Sao Paulo, Brazil.
Elizabeth De GaspariAdolfo Lutz Institute, Immunology Division, Sao Paulo, Brazil; Sao Paulo University, Biomedical Sciences Institute, Post-Graduation Program Interunity in Biotechnology, Sao Paulo, Brazil. Electronic address: elizabeth.gaspari@ial.sp.gov.br.
Universidade de São Paulo · BRInstituto Adolfo Lutz · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Antibody avidity is an important parameter to evaluate immune response, being useful to evaluate vaccine responses and helping to distinguish acute and latent infection. The antibody avidity can be measured by different methods, yet the most common is a modified ELISA. The utilization of commercial kits or in-house methods to evaluate antibody avidity have been adopted more and more, although the lack of standardization between different assays may generate a lot of variation in the process, making it hard to compare the results generated.

Indexed as

Immunoglobulin GAntibody AffinityEnzyme-Linked Immunosorbent AssayHumansReference StandardsImmunoglobulin GAntibodyAntibody avidity assayELISA

Identifiers

PMID34493482
PMCPMC8515003
OpenAlexW3097625874

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.