Evidence map›Paper›PMID 27461721›Full record

ReviewJournal of veterinary internal medicine2016

What's in a Name? Classification of Diabetes Mellitus in Veterinary Medicine and Why It Matters.

C Gilor, S J M Niessen, E Furrow, S P DiBartola

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

Review in Journal of veterinary internal medicine, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
57citing papers in PubMed, 3 pooled it
9.3field-weighted citation impact, top 2% 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

57 citing papers in PubMed, 3 syntheses or guidelines pooled it, 145 citations in OpenAlex.

  1. Guideline
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. 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
  8. Article
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  14. Review
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  16. Article
  17. Article
  18. Article
  19. Antidiabetic effects ofFrontiers in pharmacology · 2023
    Article
  20. Evaluation ofVeterinary sciences · 2022
    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 3 institutions in 2 countries.

C GilorDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH.
S J M NiessenDepartment of Clinical Science and Services, Royal Veterinary College, University of London, North Mymms, Hertfordshire, UK.
E FurrowDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, University of Minnesota, St. Paul, MN.
S P DiBartolaDepartment of Veterinary Clinical Sciences, College of Veterinary Medicine, The Ohio State University, Columbus, OH.
The Ohio State University · USUniversity of London · GBUniversity of Minnesota · US

Funding

The role of zinc transporters and dietary zinc in calcium oxalate urolithiasisK01OD019912 · OD · UNIVERSITY OF MINNESOTA · PI FURROW, EVA · 2015 to 2021
$760k
NIH HHS K01 OD019912
6 · The paper itself

Abstract

Diabetes Mellitus (DM) is a syndrome caused by various etiologies. The clinical manifestations of DM are not indicative of the cause of the disease, but might be indicative of the stage and severity of the disease process. Accurately diagnosing and classifying diabetic dogs and cats by the underlying disease process is essential for current and future studies on early detection, prevention, and treatment of underlying disease. Here, we review the current etiology-based classification of DM and definitions of DM types in human medicine and discuss key points on the pathogenesis of each DM type and prediabetes. We then review current evidence for application of this etiology-based classification scheme in dogs and cats. In dogs, we emphasize the lack of consistent evidence for autoimmune DM (Type 1) and the possible importance of other DM types such as DM associated with exocrine pancreatic disease. While most dogs are first examined because of DM in an insulin-dependent state, early and accurate diagnosis of the underlying disease process could change the long-term outcome and allow some degree of insulin independence. In cats, we review the appropriateness of using the umbrella term of Type 2 DM and differentiating it from DM secondary to other endocrine disease like hypersomatotropism. This differentiation could have crucial implications on treatment and prognosis. We also discuss the challenges in defining and diagnosing prediabetes in cats.

Indexed as

AnimalsCat DiseasesCatsDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2Dog DiseasesDogsHumansVeterinary MedicineCanineFelineInsulinPancreatitisPrediabetes

Identifiers

PMID27461721
PMCPMC5108445
OpenAlexW2504419527

What OpenQuestion 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 OpenQuestion graph.