Evidence map›Paper›PMID 32716236›Full record

ArticleJournal of feline medicine and surgery2021

Prednisolone-induced diabetes mellitus in the cat: a historical cohort.

Sivert Nerhagen, Hanne L Moberg, Gudrun S Boge, Barbara Glanemann

Open access · greenAbstract read
In one paragraph

Article in Journal of feline medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed, 1 pooled it
2.6field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 1 synthesis or guideline pooled it, 26 citations in OpenAlex.

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  13. Prevalence of bacteriuria in cats with neurogenic bladder.Veterinary research communications · 2022
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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 2 countries.

Sivert NerhagenDepartment of Clinical Sciences and Services, Royal Veterinary College, Hatfield, Hertfordshire, UK.ORCID 0000-0002-5009-1348
Hanne L MobergDepartment of Clinical Sciences and Services, Royal Veterinary College, Hatfield, Hertfordshire, UK.
Gudrun S BogeDepartment of Clinical Sciences, Faculty of Veterinary Medicine, Norwegian University of Life Sciences, Ås, Norway.ORCID 0000-0001-6889-4002
Barbara GlanemannDepartment of Clinical Sciences and Services, Royal Veterinary College, Hatfield, Hertfordshire, UK.
Royal Veterinary College · GBNorwegian University of Life Sciences · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPrednisolone is a commonly used drug in cats and potential adverse effects include hyperglycaemia and diabetes mellitus. The aims of this study were to evaluate the frequency and investigate potential predisposing risk factors for the development of prednisolone-induced diabetes mellitus (PIDM) in cats.

methodsThe electronic records of a tertiary referral centre were searched for cats receiving prednisolone at a starting dose of ⩾1.9 mg/kg/day, for >3 weeks and with follow-up data available for >3 months between January 2007 and July 2019. One hundred and forty-three cats were included in the study.

resultsOf the 143 cats, 14 cats (9.7%) were diagnosed with PIDM. Twelve out of 14 cats (85.7%) developed diabetes within 3 months of the initiation of therapy. CONCLUSIONS AND RELEVANCE: Cats requiring high-dose prednisolone therapy should be closely monitored over the first 3 months of therapy for the development of PIDM.

Indexed as

Cat DiseasesDiabetes MellitusHyperglycemiaAnimalsCatsPrednisoloneRisk FactorsPrednisolonecorticosteroidGlucocorticoid-induced hyperglycaemiaglucosuriahyperglycaemia

Identifiers

PMID32716236
PMCPMC10741346
OpenAlexW3045495311

What OpenQuestion holds

Textmetadata
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.