Evidence map›Paper›PMID 36759821›Full record

ArticleBMC veterinary research2023

Serological testing of an equal-volume milk sample - a new method to estimate the seroprevalence of small ruminant lentivirus infection?

Adrian-Valentin Potârniche, Michał Czopowicz, Olga Szaluś-Jordanow, Agata Moroz-Fik, Marcin Mickiewicz, Kinga Biernacka, Lucjan Witkowski, Iwona Markowska-Daniel, Emilia Bagnicka, Constantin Cerbu and 4 more

Open access · goldAbstract read
In one paragraph

Article in BMC veterinary research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 32% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

14 authors at 3 institutions in 2 countries.

Adrian-Valentin PotârnicheDepartment of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Manastur 3-5, 400372, Cluj-Napoca, Romania.
Michał CzopowiczDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland. mczopowicz@gmail.com.
Olga Szaluś-JordanowDepartment of Small Animal Diseases with Clinic, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Agata Moroz-FikDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Marcin MickiewiczDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Kinga BiernackaDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Lucjan WitkowskiDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Iwona Markowska-DanielDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Emilia BagnickaInstitute of Genetics and Animal Biotechnology, Polish Academy of Sciences, Postępu 36A, 05-552, Jastrzębiec, Magdalenka, Poland.
Constantin CerbuDepartment of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Manastur 3-5, 400372, Cluj-Napoca, Romania.
Diana OlahDepartment of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Manastur 3-5, 400372, Cluj-Napoca, Romania.
Emilia TrifDepartment of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Manastur 3-5, 400372, Cluj-Napoca, Romania.
Marina SpinuDepartment of Infectious Diseases and Preventive Medicine, Faculty of Veterinary Medicine, University of Agricultural Sciences and Veterinary Medicine Cluj-Napoca, Calea Manastur 3-5, 400372, Cluj-Napoca, Romania.
Jarosław KabaDivision of Veterinary Epidemiology and Economics, Institute of Veterinary Medicine, Warsaw University of Life Sciences-SGGW, Nowoursynowska 159C, 02-776, Warsaw, Poland.
Warsaw University of Life Sciences · PLUniversity of Agricultural Sciences and Veterinary Medicine of Cluj-Napoca · ROPolish Academy of Sciences · PL

Funding

Narodowa Agencja Wymiany Akademickiej POWR.03.03.00-00-PN13/18Narodowe Centrum Nauki 2013/09/B/NZ6/03514
6 · The paper itself

Abstract

backgroundIn cattle attempts to evaluate within-herd prevalence of various infectious and parasitic diseases by bulk-tank milk (BTM) testing with ELISA have been made with moderate success. The fact that BTM is composed of variable and unknown volumes of milk from individual lactating animals weakens the relationship between numerical result of the ELISA and the within-herd prevalence. We carried out a laboratory experimental study to evaluate if a pooled milk sample created by mixing an equal volume of individual milk samples from seropositive and seronegative goats, henceforth referred to as an equal-volume milk sample (EVMS), would allow for accurate estimation of within-herd seroprevalence of caprine arthritis-encephalitis (CAE) using 3 different commercial ELISAs. By mixing randomly selected milk samples from seronegative and seropositive goats, 193 EVMS were created - 93 made of seronegative samples and 100 with the proportion of seropositive individual milk samples (EVMS

resultsThe cut-off values of OD

conclusionOur study introduces the concept of serological testing of EVMS as a method of detecting SRLV-infected herds and estimating the proportion of strongly seropositive goats. Further field studies are warranted to assess practical benefits of EVMS serological testing.

Indexed as

Cattle DiseasesGoat DiseasesLentivirus InfectionsAnimalsCattleEnzyme-Linked Immunosorbent AssayFemaleGoatsLactationMilkSeroepidemiologic StudiesBulk-tank milkCaprine arthritis-encephalitisCompetitive ELISAIndirect ELISAWithin-herd seroprevalence

Identifiers

PMID36759821
PMCPMC9912530
OpenAlexW4319826331

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.