Evidence map›Paper›PMID 40297517›Full record

ReviewJournal of the Saudi Heart Association2025

The Role of Venous Excess Ultrasound Score in Optimizing Acute Heart Failure Diagnosis and Prognosis.

Saoussen Antit, Sarra Romdhane, Imen Mtiri, Lilia Zakhama

Abstract readReview
In one paragraph

Review in Journal of the Saudi Heart Association, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Trial
  2. 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.

Saoussen AntitUniversity of Tunis El Manar, Faculty of Medicine of Tunis, Department of Cardiology, Interior Security Forces Hospital, La Marsa, Tunisia.
Sarra RomdhaneUniversity of Tunis El Manar, Faculty of Medicine of Tunis, Department of Cardiology, Interior Security Forces Hospital, La Marsa, Tunisia.
Imen MtiriUniversity of Tunis El Manar, Faculty of Medicine of Tunis, Department of Cardiology, Interior Security Forces Hospital, La Marsa, Tunisia.
Lilia ZakhamaUniversity of Tunis El Manar, Faculty of Medicine of Tunis, Department of Cardiology, Interior Security Forces Hospital, La Marsa, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute heart failure (AHF) is a critical condition with significant morbidity and mortality, necessitating timely and accurate diagnosis for effective management. The Venous Excess Ultrasound (VExUS) score has emerged as a non-invasive diagnostic tool, aimed at evaluating venous congestion through ultrasound. This scoring system integrates assessments of the inferior vena cava, hepatic veins, portal veins, and renal venous flow to quantify congestion severity. By providing a real-time assessment of venous pressure, the VExUS score has shown potential in optimizing early diagnosis of AHF and predicting outcomes and overall prognosis. Recent studies suggest that incorporating the VExUS score into clinical practice can enhance patient stratification and guide tailored therapeutic interventions, reducing the need for invasive procedures like right heart catheterization. However, further large-scale studies are required to fully validate its role in predicting long-term outcomes and establishing its place in standard heart failure protocols. We aimed to review the current evidence on the utility of the VExUS score in improving AHF diagnosis and its potential as a prognostic marker, highlighting its technical aspects, clinical implications and future research directions.

Indexed as

Acute heart failureDiagnosisVenous excess ultrasound score

Identifiers

PMID40297517
PMCPMC12036827

What OpenQuestion holds

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Registered trials

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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.