Evidence map›Paper›PMID 28344976›Full record

ArticleFrontiers in veterinary science2017

A Metataxonomic Approach Could Be Considered for Cattle Clinical Mastitis Diagnostics.

Joanne W H Oultram, Erika K Ganda, Sarah C Boulding, Rodrigo C Bicalho, Georgios Oikonomou

Abstract read
In one paragraph

Article in Frontiers in veterinary science, 2017. 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
–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

18 citing papers in PubMed.

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  18. Molecular biological tools applied for identification of mastitis causing pathogens.International journal of veterinary science and medicine · 2017
    Review
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

5 authors.

Joanne W H OultramDepartment of Livestock Health and Welfare, Institute of Veterinary Science, University of Liverpool , Neston , UK.
Erika K GandaDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University , Ithaca, NY , USA.
Sarah C BouldingDepartment of Livestock Health and Welfare, Institute of Veterinary Science, University of Liverpool , Neston , UK.
Rodrigo C BicalhoDepartment of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University , Ithaca, NY , USA.
Georgios OikonomouDepartment of Livestock Health and Welfare, Institute of Veterinary Science, University of Liverpool, Neston, UK; Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY, USA; Department of Epidemiology and Population Health, Institute of Infection and Global Health, University of Liverpool, Neston, UK.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Mastitis is one of the most costly diseases affecting the dairy industry, and identification of the causative microorganism(s) is essential. Here, we report the use of next-generation sequencing of bacterial 16S rRNA genes for clinical mastitis diagnosis. We used 65 paired milk samples, collected from the mastitic and a contralateral healthy quarter of mastitic dairy cattle to evaluate the technique as a potential alternative to bacterial culture or targeted PCR. One large commercial dairy farm was used, with one trained veterinarian collecting the milk samples. The 16S rRNA genes were individually amplified and sequenced using the MiSeq platform. The MiSeq Reporter was used in order to analyze the obtained sequences. Cattle were categorized according to whether or not 1 of the 10 most abundant bacterial genera in the mastitic quarter exhibited an increase in relative abundance between the healthy and mastitic quarters equal to, or exceeding, twofold. We suggest that this increase in relative abundance is indicative of the genus being a causative mastitis pathogen. Well-known mastitis-causing pathogens such as

Indexed as

cattlediagnosticsmastitismetataxonomicssequencing

Identifiers

PMID28344976
PMCPMC5344926

What OpenQuestion holds

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Registered trials

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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.