Evidence map›Paper›PMID 40728266›Full record

ReviewFuture cardiology2025

Current appraisal of venous excess ultrasound (VExUS) and its applications in the treatment of cardiovascular disease.

Kisha G Thayapran, Radoslaw J Nabrzyski, August A Longino, Edward A Gill

Abstract readReview
In one paragraph

Review in Future cardiology, 2025. 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
–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

1 citing paper in PubMed.

  1. Review
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.

Kisha G ThayapranSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
Radoslaw J NabrzyskiSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.
August A LonginoHospital Medicine, Saint Joseph Hospital, Intermountain Health, Denver, CO, USA.
Edward A GillSchool of Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bedside assessment of venous congestion is key to managing hospitalized adults with cardiovascular disease and guiding fluid management to achieve euvolemia. Current methods include physical examination, radiographic imaging, and point-of-care ultrasound (POCUS) of the inferior vena cava (IVC). While accessible, physical exam and IVC measurements are prone to errors and variability. Right heart catheterization (RHC), considered the gold standard, is invasive, costly, and often unavailable. A novel ultrasound technique, Venous Excess Ultrasound (VExUS), offers a noninvasive alternative for assessing venous congestion by characterizing the IVC and hepatic, portal, and intrarenal veins. Rapidly evolving literature on VExUS has created controversy and uncertainty around its application to patients with cardiovascular disease. This review summarizes the utility of the VExUS scoring system as a bedside tool for assessing venous congestion in adults with cardiovascular disease. It will discuss the methodology of VExUS, its performance compared to traditional IVC measurements and RHC, and its applications in various cardiovascular conditions including acute decompensated heart failure (ADHF), acute coronary syndromes (ACS), tricuspid regurgitation (TR), cardiorenal syndromes (CRS), cardiogenic shock (CS), and patients undergoing cardiac surgery.

Indexed as

Cardiovascular DiseasesVena Cava, InferiorHumansPoint-of-Care SystemsUltrasonographycritical care cardiologydecompensated heart failurePOCUSright heart catheterizationvenous congestionVExUS

Identifiers

PMID40728266
PMCPMC12330249

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.