Evidence map›Paper›PMID 31974212›Full record

ArticleHeart (British Cardiac Society)2020

Artificial intelligence and the cardiologist: what you need to know for 2020.

Antonio de Marvao, Timothy Jw Dawes, James Philip Howard, Declan P O'Regan

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Heart (British Cardiac Society), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 2 pooled it
–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

21 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. The diagnostic role of T wave morphology biomarkers in congenital and acquired long QT syndrome: A systematic review.Annals of noninvasive electrocardiology : the official journal of the International Society for Holter and Noninvasive Electrocardiology, Inc · 2023
    Pooled it
  3. Review
  4. Review
  5. Article
  6. Trustworthy and ethical AI-enabled cardiovascular care: a rapid review.BMC medical informatics and decision making · 2024
    Review
  7. Review
  8. Article
  9. Review
  10. Article
  11. Review
  12. Article
  13. Machine learning and disease prediction in obstetrics.Current research in physiology · 2023
    Review
  14. Review
  15. Big Data in Cardiology: State-of-Art and Future Prospects.Frontiers in cardiovascular medicine · 2022
    Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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.

Antonio de Marvao *MRC London Institute of Medical Sciences, Imperial College London, London, UK antonio.de-marvao@imperial.ac.uk.ORCID 0000-0001-9095-5887
Timothy Jw Dawes *MRC London Institute of Medical Sciences, Imperial College London, London, UK.
James Philip HowardNational Heart and Lung Institute, Imperial College London, London, UK.
Declan P O'ReganMRC London Institute of Medical Sciences, Imperial College London, London, UK.ORCID 0000-0002-0691-0270

Funding

British Heart Foundation NH/17/1/32725British Heart Foundation RE/13/4/30184British Heart Foundation RG/19/6/34387Department of HealthMedical Research Council MC_UP_1102/19
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Artificial IntelligenceCardiologyHumans

Identifiers

PMID31974212
PMCPMC7035692

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.