Evidence map›Paper›PMID 39713548›Full record

ReviewInternational journal of cardiology. Congenital heart disease2022

Sudden cardiac death in adults with congenital heart disease: Lessons to Learn from the ATROPOS registry.

Alicia Jeanette Fischer, Ulrike Mm Bauer, Michael Frey, Jens Beudt, Helmut Baumgartner, Gerhard-Paul Diller

Abstract readReview
In one paragraph

Review in International journal of cardiology. Congenital heart disease, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Alicia Jeanette FischerDepartment of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Germany.
Ulrike Mm BauerNational Register for Congenital Heart Defects, Berlin, Germany.
Michael FreyNational Register for Congenital Heart Defects, Berlin, Germany.
Jens BeudtNational Register for Congenital Heart Defects, Berlin, Germany.
Helmut BaumgartnerDepartment of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Germany.
Gerhard-Paul DillerDepartment of Cardiology III - Adult Congenital and Valvular Heart Disease, University Hospital Muenster, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sudden cardiac death (SCD) is one of the most frequent causes of death in adult patients with congenital heart disease (ACHD). Despite the rare frequency of its occurrence, the incident appears often when unexpected, and many affected patients had not been identified priorly. Data on predictors for SCD are limited since the total number of ACHD is low. As the cohort is heterogeneous, it is difficult to define uniform risk factors that apply to all ACHD. Complexity of the congenital heart disease appears to play a role, but other factors may also be relevant and have not been sufficiently identified yet. In current guidelines, recommendations are primarily based on data of patients without congenital heart disease. With the ATROPOS registry, we are aiming to identify reliable risk factors for SCD. The registry enables physicians globally to include patients with congenital heart disease who died of or survived SCD. After acquisition, the data will be compared to an age and complexity of disease matched cohort to perform a case-control analysis. Subsequently, a further analysis will be performed using deep learning algorithms with artificial intelligence to amplify the gathered information and find reliable risk factors.

Indexed as

Congenital heart diseaseDeep learning algorithmsPredictorsSudden cardiac death

Identifiers

PMID39713548
PMCPMC11658112

What OpenQuestion holds

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Registered trials

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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.