Evidence map›Paper›PMID 34250065›Full record

ArticleFrontiers in veterinary science2021

Design of a High-Throughput Real-Time PCR System for Detection of Bovine Respiratory and Enteric Pathogens.

Nicole B Goecke, Bodil H Nielsen, Mette B Petersen, Lars E Larsen

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
4.6field-weighted citation impact, top 4% 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

18 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  8. Establishment and epidemiological investigation of a dual fluorescent qPCR assay forFrontiers in cellular and infection microbiology · 2025
    Article
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  10. Article
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  17. Frontiers in veterinary science · 2023
    Article
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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

4 authors at 2 institutions in 1 country.

Nicole B GoeckeCentre for Diagnostics, Technical University of Denmark, Lyngby, Denmark.
Bodil H NielsenDepartment of Animal Science, Aarhus University, Aarhus, Denmark.
Mette B PetersenDepartment of Veterinary Clinical Sciences, University of Copenhagen, Copenhagen, Denmark.
Lars E LarsenDepartment of Veterinary and Animal Sciences, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKAarhus University · DK

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bovine respiratory and enteric diseases have a profound negative impact on animal, health, welfare, and productivity. A vast number of viruses and bacteria are associated with the diseases. Pathogen detection using real-time PCR (rtPCR) assays performed on traditional rtPCR platforms are costly and time consuming and by that limit the use of diagnostics in bovine medicine. To diminish these limitations, we have developed a high-throughput rtPCR system (BioMark HD; Fluidigm) for simultaneous detection of the 11 most important respiratory and enteric viral and bacterial pathogens. The sensitivity and specificity of the rtPCR assays on the high-throughput platform was comparable with that of the traditional rtPCR platform. Pools consisting of positive and negative individual field samples were tested in the high-throughput rtPCR system in order to investigate the effect of an individual sample in a pool. The pool tests showed that irrespective of the size of the pool, a high-range positive individual sample had a high influence on the cycle quantification value of the pool compared with the influence of a low-range positive individual sample. To validate the test on field samples, 2,393 nasal swab and 2,379 fecal samples were tested on the high-throughput rtPCR system as pools in order to determine the occurrence of the 11 pathogens in 100 Danish herds (83 dairy and 17 veal herds). In the dairy calves,

Indexed as

bacteriabovine pathogenshigh-throughputprevalencereal-time PCRviruses

Identifiers

PMID34250065
PMCPMC8267094
OpenAlexW3174579367

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.