Evidence map›Paper›PMID 39711758›Full record

ReviewInternational journal of cardiology. Congenital heart disease2024

Sudden cardiac death in pulmonary arterial hypertension.

M Drakopoulou, P K Vlachakis, K A Gatzoulis, G Giannakoulas

Abstract readReview
In one paragraph

Review in International journal of cardiology. Congenital heart disease, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Advancing the science and care of pulmonary hypertension, globally.International journal of cardiology. Congenital heart disease · 2026
    Article
  2. Article
  3. Article
  4. Article
  5. Advances in the imaging of pulmonary hypertension.International journal of cardiology. Congenital heart disease · 2025
    Review
  6. Article
  7. 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.

M DrakopoulouFirst Department of Cardiology, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece.
P K VlachakisFirst Department of Cardiology, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece.
K A GatzoulisFirst Department of Cardiology, Athens Medical School, National and Kapodistrian University of Athens, Athens, Greece.
G GiannakoulasFirst Cardiology Department, AHEPA University Hospital, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, Thessaloniki, Greece.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pulmonary arterial Hypertension (PAH) is a progressive disease marked by significant morbidity and mortality due to pulmonary vasculopathy and right ventricular (RV) dysfunction. Despite advances in PAH medical therapies which have improved clinical outcomes and survival, patients continue to face severe complications, including a notable incidence of sudden cardiac death (SCD). The high arrhythmic burden, coupled with mechanical complications such as left main compression syndrome, pulmonary artery dissection, rupture, and severe hemoptysis, significantly contribute to the risk of SCD. Close monitoring and a meticulous diagnostic approach are essential for risk stratification and timely intervention, aiming to mitigate the risk of premature death in these patients. The aim of this review is to provide a comprehensive understanding of these risks and highlight strategies for improving patient outcomes through early identification, prevention and effective management.

Indexed as

Pulmonary arterial hypertensionSudden cardiac death

Identifiers

PMID39711758
PMCPMC11657675

What OpenQuestion holds

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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.