Evidence map›Paper›PMID 38257734›Full record

ArticleViruses2023

Cross-Reactivity of Human, Wild Boar, and Farm Animal Sera from Pre- and Post-Pandemic Periods with Alpha- and Βeta-Coronaviruses (CoV), including SARS-CoV-2.

Marcel Hulst, Arie Kant, José Harders-Westerveen, Markus Hoffmann, Yajing Xie, Charlotte Laheij, Jean-Luc Murk, Wim H M Van der Poel

Open access · goldAbstract read
In one paragraph

Article in Viruses, 2023. 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
1.9field-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

5 citing papers in PubMed, 10 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

8 authors at 4 institutions in 3 countries.

Marcel HulstDepartment Virology & Molecular Biology, Wageningen Bioveterinary Research, 8221 RA Lelystad, The Netherlands.
Arie KantDepartment Virology & Molecular Biology, Wageningen Bioveterinary Research, 8221 RA Lelystad, The Netherlands.
José Harders-WesterveenDepartment Virology & Molecular Biology, Wageningen Bioveterinary Research, 8221 RA Lelystad, The Netherlands.
Markus HoffmannInfection Biology Unit, German Primate Center-Leibniz Institute for Primate Research, 37077 Göttingen, Germany.ORCID 0000-0003-4603-7696
Yajing XieInstitute of Food Safety and Nutrition Jiangsu Academy of Agricultural Sciences, Nanjing 210014, China.ORCID 0000-0002-8143-2010
Charlotte LaheijElisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands.
Jean-Luc MurkMicrovida, Elisabeth-Tweesteden Hospital, 5022 GC Tilburg, The Netherlands.ORCID 0000-0003-3661-9035
Wim H M Van der PoelDepartment Virology & Molecular Biology, Wageningen Bioveterinary Research, 8221 RA Lelystad, The Netherlands.ORCID 0000-0002-7498-8002
Wageningen University & Research · NLElisabeth-TweeSteden Ziekenhuis · NLGerman Primate Center · DEJiangsu Academy of Agricultural Sciences · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Panels of pre- and post-pandemic farm animals, wild boar and human sera, including human sera able to neutralize SARS-CoV-2 in vitro, were tested in serological tests to determine their cross-reactivity with β- and α-CoV originating from farm animals. Sera were tested in neutralization assays with high ascending concentrations (up to 1 × 10

Indexed as

COVID-19Transmissible gastroenteritis virusAnimalsAnimals, DomesticCattleCOVID-19 SerotherapyFemaleHumansPandemicsRabbitsSARS-CoV-2SheepSus scrofaSwinecross-neutralizationfarm animalshumanspre- and post-pandemic seraSARS-CoV-2wild boarsα- and β-coronaviruses

Identifiers

PMID38257734
PMCPMC10821012
OpenAlexW4390174761

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.