Evidence map›Paper›PMID 33388767›Full record

ArticleEuropean heart journal2021

The year in cardiovascular medicine 2020: digital health and innovation.

Charalambos Antoniades, Folkert W Asselbergs, Panos Vardas

Abstract read
In one paragraph

Article in European heart journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Trial
  2. Review
  3. Article
  4. Review
  5. Machine learning models using symptoms and clinical variables to predict coronary artery disease on coronary angiography.Postepy w kardiologii interwencyjnej = Advances in interventional cardiology · 2024
    Article
  6. Review
  7. Current and Future Use of Artificial Intelligence in Electrocardiography.Journal of cardiovascular development and disease · 2023
    Review
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Review
  14. 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

3 authors.

Charalambos AntoniadesAcute Vascular Imaging Centre, University of Oxford, John Radcliffe Hospital, Headley Way, Oxford OX39DU, UK.
Folkert W AsselbergsDepartment of Cardiology, Division Heart & Lungs, University Medical Center Utrecht, Utrecht University, Heidelberglaan 8, 3584 CX , Utrecht, the Netherlands.
Panos VardasHeart Sector, Hygeia Hospitals Groups, Erithrou Stavrou 4, Marousi 151 23, Athens, Greece.

Funding

British Heart Foundation FS/16/15/32047British Heart Foundation RG/F/21/110040British Heart Foundation TG/16/3/32687British Heart Foundation TG/19/2/34831
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceMachine LearningHumansArtificial intelligenceAtherosclerosisBig DataCardiovascular diseasesDeep learningDigital healthMachine learning

Identifiers

PMID33388767
PMCPMC7882364

What OpenQuestion holds

Textmetadata
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.