Evidence map›Paper›PMID 26045480›Full record

ArticleJournal of feline medicine and surgery2016

Computed tomographic findings in cats with mycobacterial infection.

Alison Major, Andrea Holmes, Christopher Warren-Smith, Stephanie Lalor, Rebecca Littler, Tobias Schwarz, Danièlle Gunn-Moore

Open access · greenAbstract readEvaluation Study
In one paragraph

Article in Journal of feline medicine and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed, 19 citations in OpenAlex.

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  4. SystemicPathogens (Basel, Switzerland) · 2020
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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

7 authors at 4 institutions in 1 country.

Alison Major
Andrea HolmesSchool of Clinical Veterinary Science, University of Bristol/Langford Veterinary Services, Langford, Bristol, UK.
Christopher Warren-SmithSchool of Clinical Veterinary Science, University of Bristol/Langford Veterinary Services, Langford, Bristol, UK.
Stephanie LalorWillows Veterinary Centre and Referral Service, Solihull, UK.
Rebecca LittlerNorthwest Surgeons, Sutton Weaver, UK.
Tobias SchwarzRoyal (Dick) School of Veterinary Studies and the Roslin Institute, Division of Veterinary Clinical Sciences, The University of Edinburgh, Hospital for Small Animals, Easter Bush Veterinary Centre, Roslin, UK.
Danièlle Gunn-MooreRoyal (Dick) School of Veterinary Studies and the Roslin Institute, Division of Veterinary Clinical Sciences, The University of Edinburgh, Hospital for Small Animals, Easter Bush Veterinary Centre, Roslin, UK.
Roslin Institute · GBUniversity of Bristol · GBSutton Hospital · GBWillows Veterinary Centre and Referral Service · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThe objective of this study was to describe the CT imaging findings associated with confirmed mycobacterial infection in cats.

methodsCT images from 20 cats with confirmed mycobacterial disease were retrospectively reviewed. Five cats underwent conscious full-body CT in a VetMouseTrap device. All other cats had thoracic CT performed under general anaesthesia, with the addition of CT investigation of the head/neck, abdomen and limbs in some cases.

resultsMycobacterial infection was seen most frequently in adult (mean age 7.4 years; range 0.6-14 years) neutered male cats (11/20). The most common infections were Mycobacterium microti (6/20) and Mycobacterium bovis (6/20). CT abnormalities were most commonly seen in the thorax, consisting of bronchial (9/20), alveolar (8/20), ground glass (6/20) or structured interstitial (15/20) lung patterns, which were often mixed. Tracheobronchial, sternal and cranial mediastinal lymphadenomegaly were common (16/20). Other abnormalities included abdominal (8/13) or peripheral (10/18) lymphadenomegaly, hepatosplenomegaly (7/13), mixed osteolytic/osteoproliferative skeletal lesions (7/20) and cutaneous or subcutaneous soft tissue masses/nodules (4/20). CONCLUSIONS AND RELEVANCE: CT of feline mycobacteriosis shows a wide range of abnormalities, often involving multiple organ systems and mimicking many other feline diseases. Mycobacteriosis should be considered in the differential diagnosis of thoracic, abdominal and skeletal disorders in cats.

Indexed as

AnimalsCat DiseasesCatsDiagnosis, DifferentialFemaleMaleMycobacterium bovisMycobacterium InfectionsRespiratory Tract InfectionsRetrospective StudiesTomography, X-Ray Computed

Identifiers

PMID26045480
PMCPMC11185229
OpenAlexW2157891214

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.