Evidence map›Paper›PMID 35873691›Full record

ArticleFrontiers in veterinary science2022

Investigating the Relationship Between Cardiac Function and Insulin Sensitivity in Horses: A Pilot Study.

Natasha J Williams, Martin Furr, Cristobal Navas de Solis, Allison Campolo, Michael Davis, Véronique A Lacombe

Open access · goldAbstract read
In one paragraph

Article in Frontiers in veterinary science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 47% 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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Metabolic and Endocrine Insights in Donkeys.Animals : an open access journal from MDPI · 2024
    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

6 authors at 2 institutions in 1 country.

Natasha J WilliamsDepartment of Clinical Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Martin FurrDepartment of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Cristobal Navas de SolisDepartment of Clinical Sciences, College of Veterinary Medicine & Biomedical Sciences, Texas A&M University, College Station, TX, United States.
Allison CampoloDepartment of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Michael DavisDepartment of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Véronique A LacombeDepartment of Physiological Sciences, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, United States.
Oklahoma State University · USTexas A&M University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metabolic syndrome in humans is commonly associated with cardiovascular dysfunction, including atrial fibrillation and left ventricular diastolic dysfunction. Although many differences exist between human and equine metabolic syndrome, both of these conditions share some degree of insulin resistance. The aims of this pilot study were to investigate the relationship between insulin sensitivity and cardiac function. Seven horses (five mares, two geldings, aged 17.2 ± 4.2 years, weight 524 ± 73 kg) underwent insulin-modified frequently sampled intravenous glucose tolerance testing to determine insulin sensitivity (mean 2.21 ± 0.03 × 10

Indexed as

diastolic functionechocardiographyinsulin sensitivity (IS)myocardial velocitiessystolic function

Identifiers

PMID35873691
PMCPMC9305457
OpenAlexW4284884216

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.