Evidence map›Paper›PMID 29669790›Full record

ArticleJournal of clinical microbiology2018

Interlaboratory Comparison of Six Real-Time PCR Assays for Detection of Bovine Leukemia Virus Proviral DNA.

J P Jaworski, A Pluta, M Rola-Łuszczak, S L McGowan, C Finnegan, K Heenemann, H A Carignano, I Alvarez, K Murakami, L Willems and 4 more

Abstract readComparative Study
In one paragraph

Article in Journal of clinical microbiology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–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

22 citing papers in PubMed.

  1. Droplet digital PCR (ddPCR) for enhanced detection and quantification of bovine viral diarrhea virus (BVDV): A promising tool for disease control.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2025
    Article
  2. Article
  3. Review
  4. Polymorphism ofPathogens (Basel, Switzerland) · 2025
    Article
  5. When Two-Fold Is Not Enough: Quantifying Uncertainty in Low-Copy qPCR.International journal of molecular sciences · 2025
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Development of a droplet digital PCR assay for quantification of the proviral load of bovine leukemia virus.Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Molecular Characterization of thePathogens (Basel, Switzerland) · 2021
    Article
  20. 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.

J P Jaworski *Instituto Nacional de Tecnología Agropecuaria (INTA), CICVyA, Instituto de Virología, Buenos Aires, Argentina jaworski.juan@inta.gob.ar.ORCID 0000-0002-1311-060X
A Pluta *National Veterinary Research Institute (NVRI), Pulawy, Poland.
M Rola-ŁuszczakNational Veterinary Research Institute (NVRI), Pulawy, Poland.
S L McGowanAnimal and Plant Health Agency (APHA), Weybridge, United Kingdom.
C FinneganAnimal and Plant Health Agency (APHA), Weybridge, United Kingdom.
K HeenemannInstitute of Virology, Center for Infectious Diseases, University of Leipzig, Leipzig, Germany.
H A CarignanoInstituto Nacional de Tecnología Agropecuaria (INTA), CICVyA, Instituto de Virología, Buenos Aires, Argentina.
I AlvarezInstituto Nacional de Tecnología Agropecuaria (INTA), CICVyA, Instituto de Virología, Buenos Aires, Argentina.
K MurakamiDepartment of Veterinary Medicine, Faculty of Agriculture, Iwate University, Morioka, Iwate, Japan.
L WillemsGembloux Agro-Bio Tech and GIGA Institute, University of Liège, Liège, Belgium.
T W VahlenkampInstitute of Virology, Center for Infectious Diseases, University of Leipzig, Leipzig, Germany.
K G TronoInstituto Nacional de Tecnología Agropecuaria (INTA), CICVyA, Instituto de Virología, Buenos Aires, Argentina.
B ChoudhuryAnimal and Plant Health Agency (APHA), Weybridge, United Kingdom.
J KuźmakNational Veterinary Research Institute (NVRI), Pulawy, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Quantitative real-time PCR (qPCR) is increasingly being used for the detection of bovine leukemia virus (BLV) proviral DNA. Nevertheless, quality control for the validation and standardization of such tests is currently lacking. Therefore, the present study was initiated by three Office International des Epizooties (OIE) reference laboratories and three collaborating laboratories to measure the interlaboratory variability of six already developed and available BLV qPCR assays. For that purpose, an international panel of 58 DNA samples reflecting the dynamic range of the majority of the assays was distributed to six testing centers. Based on qualitative results, the overall agreement among all six laboratories was moderate. However, significant variability in the measurement of the BLV proviral DNA copy number was observed among different laboratories. Quantitative PCR assays, even when performed by experienced staff, can yield large variability in BLV proviral DNA copy numbers without harmonization. Further standardization of different factors (i.e., utilization of unified protocols and unique calibrators) should increase interlaboratory agreement.

Indexed as

AnimalsCattleDiagnostic Tests, RoutineEnzootic Bovine LeukosisLaboratoriesLeukemia Virus, BovineProvirusesReal-Time Polymerase Chain ReactionRNA, ViralViral LoadRNA, Viralbovine leukemia virus (BLV)interlaboratory ring trialproviral DNAquantitative real-time PCR (qPCR)

Identifiers

PMID29669790
PMCPMC6018327

What OpenQuestion holds

Textmetadata
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.