Evidence map›Paper›PMID 28954419›Full record

ArticleAnimals : an open access journal from MDPI2017

VetCompass Australia: A National Big Data Collection System for Veterinary Science.

Paul McGreevy, Peter Thomson, Navneet K Dhand, David Raubenheimer, Sophie Masters, Caroline S Mansfield, Timothy Baldwin, Ricardo J Soares Magalhaes, Jacquie Rand, Peter Hill and 9 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Animals : an open access journal from MDPI, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed, 1 pooled it
6.4field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 1 synthesis or guideline pooled it, 89 citations in OpenAlex.

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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

19 authors at 9 institutions in 2 countries.

Paul McGreevySydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia. paul.mcgreevy@sydney.edu.au.
Peter ThomsonSchool of Life and Environmental Sciences, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia. peter.thomson@sydney.edu.au.
Navneet K DhandSydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia. navneet.dhand@sydney.edu.au.
David RaubenheimerCharles Perkins Centre and School of Life and Environmental Sciences, University of Sydney, Sydney, NSW 2006, Australia. david.raubenheimer@sydney.edu.au.
Sophie MastersSydney School of Veterinary Science, Faculty of Science, University of Sydney, Sydney, NSW 2006, Australia. sophie.masters@sydney.edu.au.
Caroline S MansfieldFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Werribee, VIC 3030, Australia. cmans@unimelb.edu.au.
Timothy BaldwinSchool of Computing and Information Systems, University of Melbourne, Parkville, VIC 3010, Australia. tb@ldwin.net.
Ricardo J Soares MagalhaesSchool of Veterinary Science, University of Queensland, Gatton, QLD 4343, Australia. r.magalhaes@uq.edu.au.
Jacquie RandSchool of Veterinary Science, University of Queensland, Gatton, QLD 4343, Australia. j.rand@uq.edu.au.
Peter HillSchool of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia. p.hill@adelaide.edu.au.
Anne PeastonSchool of Animal and Veterinary Sciences, University of Adelaide, Roseworthy, SA 5371, Australia. anne.peaston@adelaide.edu.au.ORCID 0000-0002-7501-2415
James GilkersonFaculty of Veterinary and Agricultural Sciences, University of Melbourne, Parkville, VIC 3010, Australia. jrgilk@unimelb.edu.au.
Martin CombsSchool of Animal and Veterinary Science, Faculty of Science, Charles Sturt University, Wagga, NSW 2650, Australia. macombs@csu.edu.au.
Shane RaidalSchool of Animal and Veterinary Science, Faculty of Science, Charles Sturt University, Wagga, NSW 2650, Australia. shraidal@csu.edu.au.
Peter IrwinSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia. p.irwin@murdoch.edu.au.
Peter IronsSchool of Veterinary and Life Sciences, Murdoch University, Murdoch, WA 6150, Australia. P.Irons@murdoch.edu.au.
Richard SquiresCollege of Public Health, Medical and Veterinary Science, James Cook University, Townsville, QLD 4811, Australia. richard.squires@jcu.edu.au.
David BrodbeltPathobiology and Population Services, Royal Veterinary College, University of London, Hertfordshire AL9 7TA, UK. dbrodbelt@rvc.ac.uk.
Jeremy HammondInformation and Communications Technology, University of Sydney, NSW 2006, Australia. jeremy.hammond@sydney.edu.au.
The University of Sydney · AUThe University of Melbourne · AUCharles Sturt University · AUMurdoch University · AUThe University of Adelaide · AUThe University of Queensland · AUJames Cook University · AUUniversity of London · GBUniversity of Technology Sydney · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

VetCompass Australia is veterinary medical records-based research coordinated with the global VetCompass endeavor to maximize its quality and effectiveness for Australian companion animals (cats, dogs, and horses). Bringing together all seven Australian veterinary schools, it is the first nationwide surveillance system collating clinical records on companion-animal diseases and treatments. VetCompass data service collects and aggregates real-time, clinical records for researchers to interrogate, delivering sustainable and cost-effective access to data from hundreds of veterinary practitioners nationwide. Analysis of these clinical records will reveal geographical and temporal trends in the prevalence of inherited and acquired diseases, identify frequently prescribed treatments, revolutionize clinical auditing, help the veterinary profession to rank research priorities, and assure evidence-based companion-animal curricula in veterinary schools. VetCompass Australia will progress in three phases: (1) roll-out of the VetCompass platform to harvest Australian veterinary clinical record data; (2) development and enrichment of the coding (data-presentation) platform; and (3) creation of a world-first, real-time surveillance interface with natural language processing (NLP) technology. The first of these three phases is described in the current article. Advances in the collection and sharing of records from numerous practices will enable veterinary professionals to deliver a vastly improved level of care for companion animals that will improve their quality of life.

Indexed as

big datacaninecompanion animalsdisease surveillanceelectronic patient recordepidemiologyequinefelineveterinary

Identifiers

PMID28954419
PMCPMC5664033
OpenAlexW2756769063

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.