Evidence map›Paper›PMID 37904637›Full record

ArticleJournal of veterinary science2023

Diagnostic assessment of two-dimensional shear wave elastography in relation to dimethyl arginine levels in dogs with chronic kidney disease.

Hyun Cho, Seungwha Yang, Gukhyun Suh, Jihye Choi

Open access · goldAbstract read
In one paragraph

Article in Journal of veterinary science, 2023. 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
0.2field-weighted citation impact, top 40% 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, 1 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

4 authors at 3 institutions in 2 countries.

Hyun ChoDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0002-2339-2591
Seungwha YangDoctor Dog Animal Medical Center, Goyang 10406, Korea.ORCID https://orcid.org/0000-0003-2661-2817
Gukhyun SuhDepartment of Veterinary Internal Medicine, College of Veterinary Medicine, Chonnam National University, Gwangju 61186, Korea.ORCID https://orcid.org/0000-0003-0910-3340
Jihye ChoiDepartment of Veterinary Medical Imaging, College of Veterinary Medicine, Seoul National University, Seoul 08826, Korea. imsono@snu.ac.kr.ORCID https://orcid.org/0000-0002-1258-7158
Chonnam National University · KRSeoul National University · KRThe Schwarzman Animal Medical Center · US

Funding

National Research Foundation of Korea NRF-2021R1A2C200573011
6 · The paper itself

Abstract

backgroundIn veterinary medicine, previous studies regarding the diagnostic performance of shear wave elastography (SWE) in chronic kidney disease (CKD) are not consistent with each other. Moreover, there has been no study evaluating the relationship between symmetric dimethyl arginine (SDMA) concentration and renal shear wave velocity (SWV) using two-dimensional SWE (2D SWE) in dogs with CKD.

objectivesThis study aimed to evaluate the diagnostic capability of 2D SWE in dogs with CKD and to assess the relationship between renal SWV and SDMA concentration.

methodsDogs with healthy kidneys and dogs with CKD underwent 2D SWE and SDMA assay. Renal stiffness was estimated as renal SWV in m/s.

resultsSDMA concentration had a weak positive correlation with the left (

conclusions2D SWE may could not distinguish between dogs with healthy kidney and dogs with early stage of CKD, but it would be useful for assessing the serial change of renal function in dogs.

Indexed as

Dog DiseasesElasticity Imaging TechniquesRenal Insufficiency, ChronicAnimalsArginineDogsKidneyArginine2DBiopsycanine diseasechronic renal diseasesstiffness

Identifiers

PMID37904637
PMCPMC10694370
OpenAlexW4387585605

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.