Evidence map›Paper›PMID 34953007›Full record

ArticleJournal of veterinary internal medicine2022

Use of contrast-enhanced computed tomography to detect kidney infarction in dogs.

Somchin Sutthigran, Phasamon Saisawart, Auraiwan Klaengkaew, Kongthit Horoongruang, Nardtiwa Chaivoravitsakul, Kiatpichet Komin, Chutimon Thanaboonnipat, Nan Choisunirachon

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2022. 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
0.4field-weighted citation impact, top 33% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. 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

8 authors at 1 institution in 1 country.

Somchin SutthigranDepartment of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-8049-421X
Phasamon SaisawartDepartment of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-8536-9824
Auraiwan KlaengkaewDepartment of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0003-1009-2386
Kongthit HoroongruangSmall Animal Teaching Hospital, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-5978-2102
Nardtiwa ChaivoravitsakulSmall Animal Teaching Hospital, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-0300-6964
Kiatpichet KominDepartment of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-2409-4633
Chutimon ThanaboonnipatDepartment of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0002-4548-549X
Nan ChoisunirachonDepartment of Surgery, Faculty of Veterinary Science, Chulalongkorn University, Bangkok, Thailand.ORCID https://orcid.org/0000-0001-7169-6699
Chulalongkorn University · TH

Funding

Graduate School, Chulalongkorn University
6 · The paper itself

Abstract

backgroundKidney infarction is a renovascular disease diagnosed by contrast-enhanced computed tomography (CECT) in humans.

objectivesTo describe the frequency of kidney infarction and to determine the detection of kidney infarction with CECT in dogs. ANIMALS: Eight hundred and twenty-six abdominal CECT studies of 826 dogs.

methodsA cross-sectional retrospective study. Dogs with abdominal CT scans including CECT were retrospectively retrieved. Kidney infarction was classified into 3 grades based on the extent of infarction relative to total kidney area. The location and number of kidney infarctions in each kidney were expressed as number and percentage. The ability of visualization of kidney infarction in each multiplanar reconstruction (MPR) image plane was evaluated by agreement of 2 observers.

resultsThe frequency of kidney infarction in dogs was 3.15% (26/826 dogs; 95% CI = 2.05-4.61). Most kidney infarctions were classified as grade 1, or the lesions were less than 25% of the kidney (47/56, 83.93%) and most were detected at the caudal pole of the kidney (31/56, 55.35%) on the sagittal plane. On MPR image planes, the sagittal plane had the highest proportion (34/56, 60.71%) of excellent visual category to detect kidney infarction. CONCLUSIONS AND CLINICAL IMPORTANCE: The CECT, especially the sagittal plane, is a useful diagnostic tool for the detection of kidney infarction in dogs.

Indexed as

Contrast MediaDog DiseasesAnimalsCross-Sectional StudiesDogsInfarctionKidneyRetrospective StudiesTomography, X-Ray ComputedContrast Mediacaninecontrast mediumCTischemiakidney

Identifiers

PMID34953007
PMCPMC8783343
OpenAlexW4200120756

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.