Evidence map›Paper›PMID 36977271›Full record

ArticleVeterinary sciences2023

The Prognostic Utility of Venous Blood Gas Analyses at Presentation in Cats with Cardiogenic Pulmonary Edema.

Akiyoshi Tani, Ryohei Suzuki, Satoshi Matsukata, Atsushi Nakamura, Takaomi Nuruki

Open access · goldAbstract read
In one paragraph

Article in Veterinary sciences, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 96% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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 2 institutions in 1 country.

Akiyoshi TaniThe TRVA Animal Medical Center, Tokyo Jonan Regional Veterinary Medicine Promotional Association, Tokyo 158-0081, Japan.ORCID 0000-0003-4166-7154
Ryohei SuzukiLaboratory of Veterinary Internal Medicine, School of Veterinary Medicine, Faculty of Veterinary Science, Nippon Veterinary and Life Science University, Tokyo 180-8602, Japan.ORCID 0000-0001-9451-5854
Satoshi MatsukataThe TRVA Animal Medical Center, Tokyo Jonan Regional Veterinary Medicine Promotional Association, Tokyo 158-0081, Japan.
Atsushi NakamuraThe TRVA Animal Medical Center, Tokyo Jonan Regional Veterinary Medicine Promotional Association, Tokyo 158-0081, Japan.
Takaomi NurukiThe TRVA Animal Medical Center, Tokyo Jonan Regional Veterinary Medicine Promotional Association, Tokyo 158-0081, Japan.
Veterinary Medical Center · JPNippon Veterinary and Life Science University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cats urgently visit emergency hospitals due to respiratory distress, and the chief cause is cardiogenic pulmonary edema (CPE). Although cats with CPE were frequently encountered in clinics, the prognostic factors were poorly reported. The objective of this retrospective study was to investigate the association of physical examination and venous blood gas parameters with the survival of cats with CPE in an emergency hospital. Thirty-six cats with CPE were ultimately included in the present study, and eight of them died within 12 h after their presentation to our hospital. Statistical analyses of clinical parameters between cats that died within 12 h and those that survived for 12 h were conducted using Mann-Whitney U test with Bonferroni correction. Cats that died within 12 h had significantly lower rectal temperatures and higher PvCO

Indexed as

blood gascardiogenic pulmonary edemacathypercapnia

Identifiers

PMID36977271
PMCPMC10051196
OpenAlexW4327956425

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.