Evidence map›Paper›PMID 34201681›Full record

ReviewAnimals : an open access journal from MDPI2021

Veterinary Big Data: When Data Goes to the Dogs.

Ashley N Paynter, Matthew D Dunbar, Kate E Creevy, Audrey Ruple

Abstract readReview
In one paragraph

Review in Animals : an open access journal from MDPI, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Article
  9. Article
  10. Article
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  12. Article
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  14. Article
  15. Age and Physical Activity Levels in Companion Dogs: Results From the Dog Aging Project.The journals of gerontology. Series A, Biological sciences and medical sciences · 2022
    Article
  16. Article
  17. Article
  18. Dogs as a Natural Animal Model of Epilepsy.Frontiers in veterinary science · 2022
    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

4 authors.

Ashley N PaynterDepartment of Biology, College of Arts and Sciences, University of Washington, Seattle, WA 98195, USA.
Matthew D DunbarCenter for Studies in Demography and Ecology, University of Washington, Seattle, WA 98195, USA.ORCID 0000-0002-9145-7043
Kate E CreevyDepartment of Small Animal Clinical Sciences, College of Veterinary Medicine, Texas A&M University, College Station, TX 77843, USA.ORCID 0000-0003-4169-374X
Audrey RupleDepartment of Public Health, College of Health and Human Sciences, Purdue University, West Lafayette, IN 47907, USA.ORCID 0000-0002-5223-0217

Funding

The Dog Aging Project: Genetic and Environmental Determinants of Healthy Aging in Companion Dogs Competitive RevisionU19AG057377 · NIA · UNIVERSITY OF WASHINGTON · PI PROMISLOW, DANIEL EDWARD · 2018 to 2023
$29.0M
NIA NIH HHS U19 AG057377
6 · The paper itself

Abstract

Dogs provide an ideal model for study as they have the most phenotypic diversity and known naturally occurring diseases of all non-human land mammals. Thus, data related to dog health present many opportunities to discover insights into health and disease outcomes. Here, we describe several sources of veterinary medical big data that can be used in research. These sources include medical records from primary medical care centers or referral hospitals, medical claims data from animal insurance companies, and datasets constructed specifically for research purposes. No data source provides information that is without limitations, but large-scale, prospective, longitudinally collected data from dog populations are ideal for further research as they offer many advantages over other data sources.

Indexed as

big datacompanion animal medicinecomparative medicineone healthpersonalized healthcare

Identifiers

PMID34201681
PMCPMC8300140

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.