Evidence map›Paper›PMID 30554552›Full record

ArticleJournal of feline medicine and surgery2019

Retrospective analysis of pleural effusion in cats.

Alla König, Katrin Hartmann, Ralf S Mueller, Gerhard Wess, Bianka S Schulz

Open access · bronzeAbstract read
In one paragraph

Article in Journal of feline medicine and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 21% 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

20 citing papers in PubMed, 38 citations in OpenAlex.

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  6. Feline friendly POCUS: how to implement it into your daily practice.Journal of feline medicine and surgery · 2024
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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

5 authors at 1 institution in 1 country.

Alla KönigClinic of Small Animal Medicine, LMU University of Munich, Munich, Germany.
Katrin HartmannClinic of Small Animal Medicine, LMU University of Munich, Munich, Germany.
Ralf S MuellerClinic of Small Animal Medicine, LMU University of Munich, Munich, Germany.
Gerhard WessClinic of Small Animal Medicine, LMU University of Munich, Munich, Germany.
Bianka S SchulzClinic of Small Animal Medicine, LMU University of Munich, Munich, Germany.ORCID 0000-0002-1785-6206
LMU Klinikum · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesPleural effusion is a common presenting cause for feline patients in small animal practice. The objectives of this study were to identify possible correlations between the aetiology of effusion and clinical and laboratory findings.

methodsIn this retrospective study of 306 cats diagnosed with pleural effusion of established aetiology, cats were divided into six major groups: cardiac disease (CD), feline infectious peritonitis (FIP), neoplasia, pyothorax, chylothorax and miscellaneous. Clinical, laboratory and radiographic parameters were compared between groups.

resultsCD was the most common aetiology (35.3%), followed by neoplasia (30.7%), pyothorax (8.8%), FIP (8.5%), chylothorax (4.6%) and miscellaneous diseases (3.7%). In 26 (8.5%) cats, more than one underlying disease was diagnosed as a possible aetiology for pleural effusion. Cats with FIP were significantly younger than those with CD ( CONCLUSIONS AND RELEVANCE: CD and neoplasia were the most common causes for feline pleural effusion. Age, liver enzymes, as well as cell count, protein and glucose levels in the effusion can aid in the investigation of underlying aetiologies.

Indexed as

Cat DiseasesAnimalsCatsPleural EffusionRetrospective StudiescardiomyopathyChylothoraxfeline infectious peritonitisneoplasiapyothoraxthoracic effusion

Identifiers

PMID30554552
PMCPMC10814271
OpenAlexW2904321600

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.