Evidence map›Paper›PMID 33645320›Full record

ArticleJournal of feline medicine and surgery2021

Predictors of inflammatory lower airway disease in cats presented to the emergency room in respiratory distress: a case-control study.

Nolan V Chalifoux, Kenneth J Drobatz, Erica L Reineke

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 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.4field-weighted citation impact, top 37% 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

3 citing papers in PubMed, 3 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

3 authors at 1 institution in 1 country.

Nolan V ChalifouxDepartment of Clinical Sciences & Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, USA.ORCID 0000-0002-8666-4443
Kenneth J DrobatzDepartment of Clinical Sciences & Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, USA.
Erica L ReinekeDepartment of Clinical Sciences & Advanced Medicine, University of Pennsylvania, School of Veterinary Medicine, Philadelphia, PA, USA.
University of Pennsylvania · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of the study was to identify whether venous blood gas (VBG) variables may serve as a predictor of inflammatory lower airway disease (ILAD) in cats presenting with respiratory distress. A secondary objective of this study was to compare the diagnostic utility of patient signalment, history and physical examination findings, as compared with VBG variables.

methodsThe medical records of cats presenting with respiratory distress secondary to ILAD (54 cases) and non-ILAD (121 controls) were retrospectively reviewed.

resultsNo admission VBG variables were predictive of a final diagnosis of ILAD. Comparatively, multivariable analysis identified a history of a cough ( CONCLUSIONS AND RELEVANCE: The results of this study found patient history and physical examination findings to be more useful predictors of a final diagnosis of ILAD in comparison with VBG variables at presentation. A history of a cough, an abdominal component to respiration and a lack of pleural effusion were found to be significant predictors of this diagnosis. Further investigation into the role of respiratory rate in ILAD is warranted.

Indexed as

AsthmaCat DiseasesRespiratory Distress SyndromeAnimalsCase-Control StudiesCatsEmergency Service, HospitalRetrospective Studiesasthmacarbon dioxidedyspneaLower airway diseasevenous blood gas

Identifiers

PMID33645320
PMCPMC10812157
OpenAlexW3135542989

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.