Evidence map›Paper›PMID 38147488›Full record

ArticleJournal of veterinary internal medicine

Factors associated with thrombotic disease in dogs with renal proteinuria: A retrospective of 150 cases.

Luca Fortuna, Harriet M Syme

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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.

Luca FortunaDepartment of Clinical Science and Services, The Royal Veterinary College, Hatfield, United Kingdom.ORCID https://orcid.org/0000-0001-8915-6949
Harriet M SymeDepartment of Clinical Science and Services, The Royal Veterinary College, Hatfield, United Kingdom.ORCID https://orcid.org/0000-0002-0967-4031
Royal Veterinary College · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundKnowledge of additional risk factors for thrombotic disease (TD) among dogs with renal proteinuria is limited; these might differ for TD affecting the systemic arterial (AT), systemic venous (VT), and pulmonary circulation (PT). HYPOTHESIS/

objectivesTo compare signalment and clinicopathological data between dogs with renal proteinuria with or without TD, and between dogs with AT, VT, and PT. ANIMALS: One hundred fifty client-owned dogs with renal proteinuria, 50 of which had TD.

methodsRetrospective case-controlled study. A database search (2004-2021) identified proteinuric dogs (UPC > 2) with and without TD. Clinicopathological data were obtained from the records. TD and non-TD (NTD) groups were compared by binary logistic regression, and AT, VT, and PT groups by multinomial regression. Normal data presented as mean ± SD, non-normal data presented as median [25th, 75th percentiles].

resultsCavalier King Charles Spaniels were overrepresented in the TD group (OR = 98.8, 95% CI 2.09-4671, P = .02). Compared to NTD cases, TD cases had higher concentration of neutrophils (11.06 [8.92, 16.58] × 10 CONCLUSIONS AND CLINICAL IMPORTANCE: Differences between thrombus locations could reflect differences in pathogenesis.

Indexed as

Dog DiseasesThrombosisAnimalsCase-Control StudiesDogsHumansProteinuriaRetrospective StudiesSerum AlbuminSerum Albumincardiologycardiovascularkidneyprotein losing nephropathypulmonary thromboembolismrenal/urinary tractrespiratory tractthromboembolism

Identifiers

PMID38147488
PMCPMC10800230
OpenAlexW4390225873

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.