Evidence map›Paper›PMID 36710906›Full record

ArticleEuropean heart journal. Digital health2022

Artificial intelligence-derived cardiac ageing is associated with cardiac events post-heart transplantation.

Ilke Ozcan, Takumi Toya, Michal Cohen-Shelly, Hyun Woong Park, Ali Ahmad, Alp Ozcan, Peter A Noseworthy, Suraj Kapa, Lilach O Lerman, Zachi I Attia and 3 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in European heart journal. Digital health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.9field-weighted citation impact, top 26% of its field
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

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. 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

13 authors at 1 institution in 3 countries.

Ilke OzcanDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.ORCID https://orcid.org/0000-0003-2006-3431
Takumi ToyaDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.ORCID https://orcid.org/0000-0002-4681-2798
Michal Cohen-ShellyDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Hyun Woong ParkDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Ali AhmadDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Alp OzcanDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Peter A NoseworthyDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.ORCID https://orcid.org/0000-0002-4308-0456
Suraj KapaDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Lilach O LermanDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Zachi I AttiaDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Sudhir S KushwahaDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Paul A FriedmanDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.
Amir LermanDepartment of Cardiovascular Medicine, Mayo Clinic, 200 First Street SW, Rochester, MN 55902, USA.ORCID https://orcid.org/0000-0002-9446-5313
Mayo Clinic · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aims: An artificial intelligence algorithm detecting age from 12-lead electrocardiogram (ECG) has been suggested to reflect 'physiological age'. An increased physiological age has been associated with a higher risk of cardiac mortality in the non-transplant population. We aimed to investigate the utility of this algorithm in patients who underwent heart transplantation (HTx). Methods and results: A total of 540 patients were studied. The average ECG ages within 1 year before and after HTx were used to represent pre- and post-HTx ECG ages. Major adverse cardiovascular event (MACE) was defined as any coronary revascularization, heart failure hospitalization, re-transplantation, and mortality. Recipient pre-transplant ECG age (mean 63 ± 11 years) correlated significantly with recipient chronological age (mean 49 ± 14 years, Conclusion: Electrocardiogram age-derived cardiac ageing after transplantation is associated with a higher risk of MACE. This study suggests that physiological age change of the heart might be an important determinant of MACE risk post-HTx.

Indexed as

Artificial intelligenceCardiac allograft vasculopathyElectrocardiogramHeart transplantation

Identifiers

PMID36710906
PMCPMC9779895
OpenAlexW4296779344

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.