Evidence map›Paper›PMID 30101096›Full record

ReviewVeterinary medicine (Auckland, N.Z.)2015

Canine and feline obesity: a review of pathophysiology, epidemiology, and clinical management.

John P Loftus, Joseph J Wakshlag

Open access · goldAbstract readReview
In one paragraph

Review in Veterinary medicine (Auckland, N.Z.), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

28 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. The role of HbA1c in identifying dogs at high risk for diabetes despite normal blood glucose levels.Canadian journal of veterinary research = Revue canadienne de recherche veterinaire · 2025
    Article
  6. Review
  7. Article
  8. Review
  9. Article
  10. Review
  11. Article
  12. Review
  13. Article
  14. The Metabolic Syndrome, a Human Disease.International journal of molecular sciences · 2024
    Review
  15. Selenium Content in the Gonads of Healthy Cats (Animals : an open access journal from MDPI · 2024
    Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. 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

2 authors at 1 institution in 1 country.

John P LoftusCornell University College of Veterinary Medicine, Veterinary Medical Center, Ithaca, NY, USA, jw37@cornell.edu.
Joseph J WakshlagCornell University College of Veterinary Medicine, Veterinary Medical Center, Ithaca, NY, USA, jw37@cornell.edu.
Cornell University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Canine and feline obesity rates have reached pandemic proportions and are similar to those in humans, with approximately 30%-40% of dogs and cats being overweight to obese. Obesity has been associated with other health problems, including osteoarthritis, renal disease, skin disease, insulin resistance, and neoplasia in dogs, while in cats obesity is associated with dermatological issues, diabetes mellitus, neoplasia, and urolithiasis. The health issues appear to be slightly different across the two species, which may be due to some inherent differences in the hormonal milieu involved in obesity that differs between the dog and the cat. In this review, we discuss the complicated nature of the pathogenesis of obesity, the hormonal stimulus for orexigenic and anorexigenic behavior, adipose tissue as an endocrine organ, and most importantly, clinical management of the number one disease in canine and feline medicine.

Indexed as

caninefelineobesityveterinary

Identifiers

PMID30101096
PMCPMC6067794
OpenAlexW2012803307

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.