Evidence map›Paper›PMID 38790913›Full record

ReviewBiomedicines2024

The Congestion "Pandemic" in Acute Heart Failure Patients.

Daniela Mocan, Radu Ioan Lala, Maria Puschita, Luminita Pilat, Dan Alexandru Darabantiu, Adina Pop-Moldovan

Abstract readReview
In one paragraph

Review in Biomedicines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 2 pooled it
–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

14 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Observational
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  8. Review
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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.

Daniela MocanMultidisciplinary Doctoral School, Vasile Goldis Western University of Arad, 310025 Arad, Romania.ORCID 0009-0002-4849-8963
Radu Ioan LalaMultidisciplinary Doctoral School, Vasile Goldis Western University of Arad, 310025 Arad, Romania.
Maria PuschitaMultidisciplinary Doctoral School, Vasile Goldis Western University of Arad, 310025 Arad, Romania.
Luminita PilatMultidisciplinary Doctoral School, Vasile Goldis Western University of Arad, 310025 Arad, Romania.ORCID 0009-0000-0163-5698
Dan Alexandru DarabantiuCardiology Department, Arad County Clinical Emergency Hospital, 310037 Arad, Romania.
Adina Pop-MoldovanMultidisciplinary Doctoral School, Vasile Goldis Western University of Arad, 310025 Arad, Romania.ORCID 0000-0002-6971-2669

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Congestion not only represents a cardinal sign of heart failure (HF) but is also now recognized as the primary cause of hospital admissions, rehospitalization, and mortality among patients with acute heart failure (AHF). Congestion can manifest through various HF phenotypes in acute settings: volume overload, volume redistribution, or both. Recognizing the congestion phenotype is paramount, as it implies different therapeutic strategies for decongestion. Among patients with AHF, achieving complete decongestion is challenging, as more than half still experience residual congestion at discharge. Residual congestion is one of the strongest predictors of future cardiovascular events and poor outcomes. Through this review, we try to provide a better understanding of the congestion phenomenon among patients with AHF by highlighting insights into the pathophysiological mechanisms behind congestion and new diagnostic and management tools to achieve and maintain efficient decongestion.

Indexed as

biomarkerscongestionheart failurevolume overloadvolume redistribution

Identifiers

PMID38790913
PMCPMC11117769

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.