Evidence map›Paper›PMID 31837763›Full record

ArticleTopics in companion animal medicine2019

TRANSLATOR Database-A Vision for a Multi-Institutional Research Network.

Manlik Kwong, Heather L Gardner, Neil Dieterle, Virginia Rentko

Open access · greenAbstract read
In one paragraph

Article in Topics in companion animal medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.1field-weighted citation impact, top 52% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

4 authors at 2 institutions in 1 country.

Manlik KwongTufts Medical Center, Boston, MA, USA. Electronic address: mkwong@tuftsmedicalcenter.org.
Heather L GardnerSackler School of Graduate Biomedical Sciences, Tufts University, Boston, MA, USA.
Neil DieterleCummings School of Veterinary Medicine, Tufts University, North Grafton, MA, USA.
Virginia RentkoCummings School of Veterinary Medicine, Tufts University, North Grafton, MA, USA; Animal Bioscience Inc, Boston, MA, USA.
Tufts University · USTufts Medical Center · US

Funding

Tufts Clinical and Translational Science Institute (Pilot Supplement)UL1TR002544 · NCATS · TUFTS UNIVERSITY BOSTON · PI SELKER, HARRY P. · 2018 to 2022
$50.2M
NCATS NIH HHS UL1 TR002544
6 · The paper itself

Abstract

The formation of the CTSI One Health Alliance (COHA) network has generated the infrastructure necessary to support "Big Data" collaborative comparative and translational research in veterinary medicine. We describe the first step in the design, implementation, and dissemination of a collaborative information technology infrastructure that will serve the public and clinicians (COHA public/member based web site at https://ctsaonehealthalliance.org/) and its research focused COHA Research Workbench application. The core research infrastructure, TRANSLATOR (TRanslational ANimal Shared ColLAboraTive Observational Research), represents the foundation of a federated research-capable network to enable pooling large datasets from both electronic health records and publications. The public facing COHA website is a mechanism for both the dissemination of knowledge to the public and to foster collaborations amongst veterinary clinician scientists and the greater medical research community.

Indexed as

Big DataDatabases as TopicAnimalsInformation DisseminationInformation TechnologyTranslational Research, BiomedicalVeterinary MedicineCOHAelectronic health recordinfrastructureveterinary

Identifiers

PMID31837763
PMCPMC7029957
OpenAlexW2972643096

What OpenQuestion holds

Textmetadata
LicenceTDM
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.