Evidence map›Paper›PMID 40958760›Full record

ArticleJournal of veterinary internal medicine

Hyperfibrinolysis in Cats: A Retrospective Case-Control Study of 154 Cats.

Anabel Priego-Corredor, María Rocío Del Saiz-Álvarez, Anna Vila-Soriano, Jorge Castro-López, Vicente Herrería-Bustillo

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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
–field-weighted citation impact
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

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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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

5 authors.

Anabel Priego-CorredorVeterinary Teaching Hospital of the Catholic University of Valencia (VTHCUV), Valencia, Spain.ORCID https://orcid.org/0009-0006-7915-6658
María Rocío Del Saiz-ÁlvarezVeterinary Teaching Hospital of the Catholic University of Valencia (VTHCUV), Valencia, Spain.
Anna Vila-SorianoVeterinary Teaching Hospital of the Catholic University of Valencia (VTHCUV), Valencia, Spain.
Jorge Castro-LópezAniCura Valencia Sur Veterinary Hospital, Internal Medicine, Silla, Spain.
Vicente Herrería-BustilloVeterinary Teaching Hospital of the Catholic University of Valencia (VTHCUV), Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHyperfibrinolysis (HFL) has not been well described in cats. HYPOTHESIS/

objectivesIdentify risk factors associated with HFL in cats and evaluate its association with survival. Our hypotheses were that cats share similar conditions as dogs and humans with HFL and that it is associated with a worse prognosis. ANIMALS: A total of 154 client-owned cats had thromboelastography (TEG) performed because of a variety of clinical conditions.

methodsRetrospective case-control study. Cases were defined as cats with HFL (clot lysis at 30 min [LY30] ≥ 5% or clot lysis at 60 min [LY60] ≥ 10% or both) and controls were cats that had TEG performed but without HFL. Signalment, conditions that may alter fibrinolysis, TEG variables, indications to perform TEG, and outcome were recorded.

resultsFifty-two cats (33.8%) with HFL and 102 controls (66.2%) were included. Demographic variables were similar between groups. Both liver disease (odds ratio [OR], 5.0; 95% confidence interval [CI], 2.4-10.6; p < 0.001) and the presence of cavitary effusion (OR, 5.9; 95% CI, 2.8-12.4; p < 0.001) were important risk factors for HFL. Cats with heart disease were less likely to have HFL (OR, 0.2; 95% CI, 0.1-0.5; p < 0.001). The presence of HFL was not associated with worse outcome (p = 0.84). Cats with HFL more often were hypocoagulable, whereas cats without HFL more often were hypercoagulable (p < 0.001). CONCLUSIONS AND CLINICAL IMPORTANCE: Liver disease and cavitary effusion are risk factors for HFL in cats. The presence of HFL did not affect survival.

Indexed as

Blood Coagulation DisordersCat DiseasesFibrinolysisAnimalsCase-Control StudiesCatsFemaleMaleRetrospective StudiesRisk FactorsThrombelastographycavitary effusioncoagulationfibrinolysisheart diseaseliver diseasethromboelastography

Identifiers

PMID40958760
PMCPMC12441594

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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.