Evidence map›Paper›PMID 42704875›Full record

ArticleJournal of veterinary internal medicine2026

Evaluation of renal microvascular perfusion in dogs with cardiac disease using Superb Microvascular Imaging.

Risa Yasuda, Kensuke Nakamura, Noboru Sasaki, Nozomu Yokoyama, Kazuyoshi Sasaoka, Mei Sugawara-Suda, Sei Kawamoto, Nozomi Shiohara, Yuki Kawakami, Kei Sato and 1 more

Abstract read
In one paragraph

Article in Journal of veterinary internal medicine, 2026. 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
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.

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

11 authors.

Risa YasudaLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0009-0005-0575-5538
Kensuke NakamuraLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0000-0002-1010-3228
Noboru SasakiVeterinary Teaching Hospital, Faculty of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0000-0002-7037-6586
Nozomu YokoyamaLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0000-0003-2077-0523
Kazuyoshi SasaokaVeterinary Teaching Hospital, Faculty of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0000-0002-2990-7808
Mei Sugawara-SudaVeterinary Teaching Hospital, Faculty of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0000-0002-0825-9055
Sei KawamotoVeterinary Teaching Hospital, Faculty of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0009-0003-5669-3379
Nozomi ShioharaLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0009-0004-9542-6051
Yuki KawakamiLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0009-0003-1366-7226
Kei SatoLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0009-0009-9386-5444
Mitsuyoshi TakiguchiLaboratory of Veterinary Internal Medicine, Department of Veterinary Clinical Sciences, Graduate School of Veterinary Medicine, Hokkaido University, Sapporo 060-0818, Japan.ORCID 0000-0001-7648-7036

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRenal dysfunction in cardiac disease is attributed to both reduced cardiac output and venous congestion; however, relative contributions of these mechanisms are difficult to evaluate clinically. HYPOTHESIS/

objectivesRenal microvascular perfusion assessed by Superb Microvascular Imaging (SMI) would be associated with indices of cardiac output and venous congestion in dogs with cardiac disease. ANIMALS: Forty-three client-owned dogs were enrolled: 15 healthy dogs (Control), 21 dogs with cardiac disease but without right-sided heart failure (non-RHF), and 7 dogs with signs of right-sided heart failure (RHF).

methodsProspective cross-sectional observational study. SMI images were obtained from renal cortex, and mean SMI signal intensity (SMI-SI) was calculated as an index of renal perfusion. The left ventricular outflow tract velocity-time integral (LVOT-VTI) was used as an index of cardiac output, while caudal vena cava short-to-long axis ratio at minimal inspiratory diameter (CVC SD/LD) was used to indicate venous congestion.

resultsMedian SMI-SI was 41.3 (95% CI, 39.1-43.8) in Control, 21.6 (95% CI: 19.4-23.9) in non-RHF, and 18.6 (95% CI, 16.4-21.0) in RHF. Both cardiac disease groups had lower values than Control (P < .001). SMI-SI was negatively correlated with CVC SD/LD (ρ = -0.59, P < .001) and positively correlated with LVOT-VTI (ρ = 0.43, P = .007). In full multivariable analysis, only CVC SD/LD was independently associated with SMI-SI (P = .001). CONCLUSIONS AND CLINICAL IMPORTANCE: SMI detects reduced renal microvascular perfusion in dogs with cardiac disease, which is associated with venous congestion rather than cardiac output.

Indexed as

Dog DiseasesHeart DiseasesKidneyAnimalsCardiac OutputCross-Sectional StudiesDogsFemaleMaleMicrocirculationMicrovesselsProspective Studiescardiac diseasecardiorenal syndromecongestiondogrenal perfusionultrasonography

Identifiers

PMID42704875
PMCPMC13549437

What Socratic 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 Socratic graph.