Evidence map›Paper›PMID 41572041›Full record

ReviewHeart failure reviews2026

Assessing congestion in heart failure: tools are already available, but integration is key.

Jolie Bruno, Sakura Minami, Tripti Rastogi, Andrew P Ambrosy, Alexandre Mebazaa, Nicolas Girerd

Abstract readReview
PubMed Publisher
In one paragraph

Review in Heart failure reviews, 2026. 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

6 authors.

Jolie BrunoINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Paris, France.
Sakura MinamiDepartment of Emergency Medicine, Yokohama City University School of Medicine, Yokohama, Kanagawa, Japan.
Tripti RastogiCentre d'Investigations Cliniques Plurithématique 1433 and Inserm U1116, Université de Lorraine, CHRU Nancy, FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), 4, rue du Morvan, Nancy, 54500, France.
Andrew P AmbrosyKaiser Permanente San Francisco Medical Center, San Francisco, CA, USA.
Alexandre MebazaaINSERM UMR-S 942, Cardiovascular Markers in Stress Condition (MASCOT), Paris, France.
Nicolas GirerdCentre d'Investigations Cliniques Plurithématique 1433 and Inserm U1116, Université de Lorraine, CHRU Nancy, FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists), 4, rue du Morvan, Nancy, 54500, France. n.girerd@chru-nancy.fr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congestion represents the principal clinical manifestation and hemodynamic hallmark of heart failure (HF), reflecting elevated cardiac filling pressures. It remains the leading cause of HF hospitalization and is consistently associated with adverse outcomes across all stages of the disease. Despite its major prognostic implications, the assessment of congestion remains suboptimal in both acute and chronic settings, with up to one-third of patients discharged while still fluid overloaded. This review, developed following the Critical Care Clinical Trialists (3CT) Workshop 2025, summarizes current and well-established approaches for evaluating congestion, and introduces new and emerging tools that may simplify its recognition and management while allowing for a more accurate and timely assessment. We further discuss how integrating clinical, imaging, hemodynamic, and patient-centered strategies may enable optimal congestion management and support a paradigm shift from reactive decongestion to proactive, individualized care.

Indexed as

Heart FailureHemodynamicsHumansPrognosisCongestionDiagnosisDigital toolsHeart failure

Identifiers

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.