Evidence map›Paper›PMID 39314768›Full record

ReviewFrontiers in cardiovascular medicine2024

Circulating extracellular vesicles as biomarkers in the diagnosis, prognosis and therapy of cardiovascular diseases.

Dominika Bernáth-Nagy, Melek Sükran Kalinyaprak, Evangelos Giannitsis, Pál Ábrahám, Florian Leuschner, Norbert Frey, Jona Benjamin Krohn

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Frontiers in cardiovascular medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 citing papers in PubMed.

  1. Kidney-heart crosstalk: the extracellular vesicles connection.Nephrology, dialysis, transplantation : official publication of the European Dialysis and Transplant Association - European Renal Association · 2026
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  17. Emerging Biomimetic Drug Delivery Nanoparticles Inspired by Extracellular Vesicles.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology
    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

7 authors.

Dominika Bernáth-NagyHeart and Vascular Centre, Semmelweis University, Budapest, Hungary.
Melek Sükran KalinyaprakDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.
Evangelos GiannitsisDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.
Pál ÁbrahámHeart and Vascular Centre, Semmelweis University, Budapest, Hungary.
Florian LeuschnerDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.
Norbert FreyDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.
Jona Benjamin KrohnDepartment of Cardiology, Angiology and Pneumology, University Hospital Heidelberg, Heidelberg, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cardiovascular disease (CVD) ranks among the primary contributors to worldwide mortality. Hence, the importance of constant research on new circulating biomarkers for the improvement of early diagnosis and prognostication of different CVDs and the development and refinement of therapeutic measures is critical. Extracellular vesicles (EV) have a great potential as diagnostic and prognostic markers, as they represent their parent cell by enclosing cell-specific molecules, which can differ in quality and quantity based on cell state. Assuming that all cell types of the cardiovascular system are capable of releasing EV into circulation, an emerging body of evidence has investigated the potential role of serum- or plasma-derived EV in CVD. Comprehensive research has unveiled alterations in EV quantity and EV-bound cargo in the form of RNA, proteins and lipids in the context of common CVDs such as coronary artery disease, atrial fibrillation, heart failure or inflammatory heart diseases, highlighting their diagnostic and prognostic relevance. In numerous

Indexed as

biomarkercardiovascular diseasediagnosisextracellular vesiclesprognosistherapy

Identifiers

PMID39314768
PMCPMC11417624

What Socratic holds

Textmetadata
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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 Socratic graph.