Evidence map›Paper›PMID 39187880›Full record

ArticleBMC veterinary research2024

Inter-laboratory comparison of eleven quantitative or digital PCR assays for detection of proviral bovine leukemia virus in blood samples.

Aneta Pluta, Juan Pablo Jaworski, Casey Droscha, Sophie VanderWeele, Tasia M Taxis, Stephen Valas, Dragan Brnić, Andreja Jungić, María José Ruano, Azucena Sánchez and 14 more

Abstract readComparative Study
In one paragraph

Article in BMC veterinary research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  11. Polymorphism ofPathogens (Basel, Switzerland) · 2025
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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

24 authors.

Aneta PlutaDepartment of Biochemistry, National Veterinary Research Institute, Puławy, 24-100, Poland. aneta.pluta@piwet.pulawy.pl.
Juan Pablo JaworskiInstituto de Virología E Innovaciones Tecnológicas (IVIT), Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA) - CONICET, Buenos Aires, Argentina.
Casey DroschaCentralStar Cooperative, 4200 Forest Rd, Lansing, MI, 48910, USA.
Sophie VanderWeeleCentralStar Cooperative, 4200 Forest Rd, Lansing, MI, 48910, USA.
Tasia M TaxisDepartment of Animal Science, College of Agriculture and Natural Resources, Michigan State University, East Lansing, Michigan, 48824, USA.
Stephen ValasNiort Laboratory, Unit Pathology and Welfare of Ruminants, French Agency for Food, Environmental and Occupational Health and Safety (Anses), Ploufragan-Plouzané, Niort, France.
Dragan BrnićCroatian Veterinary Institute, Savska Cesta 143, Zagreb, 10000, Croatia.
Andreja JungićCroatian Veterinary Institute, Savska Cesta 143, Zagreb, 10000, Croatia.
María José RuanoLaboratorio Central de Veterinaria (LCV), Ministry of Agriculture, Fisheries and Food, Carretera M-106 (Km 1,4), Madrid, Algete, 28110, Spain.
Azucena SánchezLaboratorio Central de Veterinaria (LCV), Ministry of Agriculture, Fisheries and Food, Carretera M-106 (Km 1,4), Madrid, Algete, 28110, Spain.
Kenji MurakamiDepartment of Veterinary Sciences, Faculty of Agriculture, Iwate University, 3-18-8 Ueda, Morioka, 020-8550, Japan.
Kurumi NakamuraDepartment of Veterinary Sciences, Faculty of Agriculture, Iwate University, 3-18-8 Ueda, Morioka, 020-8550, Japan.
Rodrigo PuentesDepartamento de Patobiología, Facultad de Veterinaria, Unidad de Microbiología, Universidad de La República, Ruta 8, Km 18, Montevideo, 13000, Uruguay.
MLaureana De BrunDepartamento de Patobiología, Facultad de Veterinaria, Unidad de Microbiología, Universidad de La República, Ruta 8, Km 18, Montevideo, 13000, Uruguay.
Vanesa RuizInstituto de Virología E Innovaciones Tecnológicas (IVIT), Centro de Investigaciones en Ciencias Veterinarias y Agronómicas (CICVyA), Instituto Nacional de Tecnología Agropecuaria (INTA) - CONICET, Buenos Aires, Argentina.
Marla Eliana Ladera GómezLaboratorio de Virología, Departamento SAMP, Centro de Investigación Veterinaria de Tandil-CIVETAN (CONICET/UNCPBA/CICPBA), Buenos Aires, Argentina.
Pamela LendezLaboratorio de Virología, Departamento SAMP, Centro de Investigación Veterinaria de Tandil-CIVETAN (CONICET/UNCPBA/CICPBA), Buenos Aires, Argentina.
Guillermina DolciniLaboratorio de Virología, Departamento SAMP, Centro de Investigación Veterinaria de Tandil-CIVETAN (CONICET/UNCPBA/CICPBA), Buenos Aires, Argentina.
Marcelo Fernandes CamargosLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Brazil.
Antônio FonsecaLaboratório Federal de Defesa Agropecuária de Minas Gerais, Pedro Leopoldo, Brazil.
Subarna BaruaDepartment of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, 36849-5519, USA.
Chengming WangDepartment of Pathobiology, College of Veterinary Medicine, Auburn University, Auburn, AL, 36849-5519, USA.
Aleksandra GizaDepartment of Omics Analyses, National Veterinary Research Institute, 24-100, Puławy, Poland.
Jacek KuźmakDepartment of Biochemistry, National Veterinary Research Institute, Puławy, 24-100, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine leukemia virus (BLV) is the etiological agent of enzootic bovine leukosis and causes a persistent infection that can leave cattle with no symptoms. Many countries have been able to successfully eradicate BLV through improved detection and management methods. However, with the increasing novel molecular detection methods there have been few efforts to standardize these results at global scale. This study aimed to determine the interlaboratory accuracy and agreement of 11 molecular tests in detecting BLV. Each qPCR/ddPCR method varied by target gene, primer design, DNA input and chemistries. DNA samples were extracted from blood of BLV-seropositive cattle and lyophilized to grant a better preservation during shipping to all participants around the globe. Twenty nine out of 44 samples were correctly identified by the 11 labs and all methods exhibited a diagnostic sensitivity between 74 and 100%. Agreement amongst different assays was linked to BLV copy numbers present in samples and the characteristics of each assay (i.e., BLV target sequence). Finally, the mean correlation value for all assays was within the range of strong correlation. This study highlights the importance of continuous need for standardization and harmonization amongst assays and the different participants. The results underscore the need of an international calibrator to estimate the efficiency (standard curve) of the different assays and improve quantitation accuracy. Additionally, this will inform future participants about the variability associated with emerging chemistries, methods, and technologies used to study BLV. Altogether, by improving tests performance worldwide it will positively aid in the eradication efforts.

Indexed as

Enzootic Bovine LeukosisLeukemia Virus, BovineProvirusesAnimalsCattleDNA, ViralPolymerase Chain ReactionReal-Time Polymerase Chain ReactionSensitivity and SpecificityDNA, ViralBLV international networkBovine leukemia virus (BLV)DdPCRProviral DNAQuantitative real-time PCR (qPCR)Update on the efforts in harmonization qPCR

Identifiers

PMID39187880
PMCPMC11346035

What Socratic 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 Socratic graph.