Evidence map›Paper›PMID 39886707›Full record

ReviewCureus2024

Heart in Focus: Advancing Pericardial Effusion Diagnosis With Point-of-Care Ultrasound.

Sofia Moura de Azevedo, Rodrigo Duarte, Jéssica Krowicki, Dolores Vázquez, Sheila Pires Ferreira Arroja, José Mariz

Abstract readReview
In one paragraph

Review in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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.

Sofia Moura de AzevedoInternal Medicine, Centro Hospitalar Universitário de Santo António, Porto, PRT.
Rodrigo DuarteInternal Medicine, Centro Hospitalar de Lisboa Ocidental, Lisbon, PRT.
Jéssica KrowickiInternal Medicine, Centro Hospitalar do Baixo Vouga, Aveiro, PRT.
Dolores VázquezEmergency, Hospital de Braga, Braga, PRT.
Sheila Pires Ferreira ArrojaEmergency, Hospital de Braga, Braga, PRT.
José MarizEmergency, Hospital de Braga, Braga, PRT.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pericardial effusion refers to the accumulation of fluid within the pericardial sac, the double-layered membrane surrounding the heart. It can be caused by various medical conditions and may lead to serious complications if not diagnosed and managed promptly. Point-of-care ultrasound (POCUS) has emerged as a valuable tool in the clinical evaluation of pericardial effusions, offering real-time visualization and aiding in the assessment of its size, characteristics, and potential hemodynamic impact. This comprehensive revision explores the utility of POCUS in diagnosing and managing pericardial effusions. POCUS has gained prominence as a bedside diagnostic tool due to its immediacy, accuracy, and non-invasive nature. This study investigates how POCUS can address critical gaps in current diagnostic approaches, such as delays in diagnosis using traditional imaging modalities and challenges in resource-limited settings, thereby enhancing patient outcomes and clinical decision-making. A search was conducted on PubMed in August of 2023, using the keywords "POCUS" and "pericardial" as MeSH terms and reference mining. A total of 19 articles were included in this review. Characterization and quantification of pericardial effusion (PEF) using POCUS can provide clinicians with critical clues regarding the underlying etiology. This information, combined with other hemodynamic parameters, should guide subsequent management decisions. POCUS enables the identification of key sonographic findings, such as diastolic collapse of the right chambers, abnormal septal movement, and an engorged inferior vena cava (IVC), which together raise a high clinical suspicion of cardiac tamponade. Beyond its utility in identifying tamponade, POCUS plays a significant role in detecting subtle yet life-threatening conditions, such as aortic dissection, which may manifest as pericardial effusion due to hemopericardium. While POCUS is not definitive for diagnosing aortic dissection, indirect findings such as a pericardial effusion with hemodynamic compromise, coupled with high clinical suspicion, should prompt further imaging like CT angiography for confirmation. We propose an algorithmic approach: if cardiac tamponade is confirmed on POCUS, emergent pericardiocentesis is warranted. If ruled out, further investigations should be directed toward identifying the underlying cause of the PEF, including potentially ruling out aortic dissection to avoid missing a subtle but critical condition. POCUS has revolutionized the clinical evaluation of pericardial effusions, providing clinicians with a rapid and accurate bedside tool for diagnosis and management. Its ability to assess effusion size, identify cardiac tamponade, and guide pericardiocentesis procedures has proven invaluable in improving patient outcomes. Integrating POCUS into routine clinical practice enhances diagnostic accuracy and timely intervention, ensuring better care for patients with pericardial effusions. However, it is important to acknowledge its limitations. POCUS is highly operator-dependent, with diagnostic accuracy varying based on the clinician's experience and training. Additionally, the availability of ultrasound equipment and adequately trained personnel can be a barrier, particularly in resource-limited settings. Addressing these challenges is crucial to maximizing the utility of POCUS in clinical practice.

Indexed as

echocardiography - pericardial - effusionemergency pericardiocentesispericardial diseasespericardial tampondepoint-of-care ultrasound (pocus)

Identifiers

PMID39886707
PMCPMC11781757

What OpenQuestion holds

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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.