Evidence map›Paper›PMID 31293194›Full record

ReviewJournal of the American Heart Association2019

Role of Big Data in Cardiovascular Research.

William S Weintraub

Abstract readReview
In one paragraph

Review in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

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

  1. Big Data in cardiac surgery: real world and perspectives.Journal of cardiothoracic surgery · 2022
    Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Observational
  9. Article
  10. Role of primary and secondary care data in atrial fibrillation ascertainment: impact on risk factor associations, patient management, and mortality in UK Biobank.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2025
    Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
  17. Using real-world data to monitor and improve quality of care in coronary artery disease: results from the Netherlands Heart Registration.Netherlands heart journal : monthly journal of the Netherlands Society of Cardiology and the Netherlands Heart Foundation · 2022
    Review
  18. Review
  19. Big Data in Cardiology: State-of-Art and Future Prospects.Frontiers in cardiovascular medicine · 2022
    Review
  20. 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

1 author.

William S Weintraub1 MedStar Heart & Vascular Institute Washington DC.

Funding

HCMR Novel Markers of Prognosis in Hypertrophic CardiomyopathyU01HL117006 · NHLBI · UNIVERSITY OF VIRGINIA · PI KRAMER, CHRISTOPHER M., NEUBAUER, STEFAN · 2013 to 2017
$14.5M
NHLBI NIH HHS U01 HL117006
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

Big DataBiomedical ResearchCardiologyAdministrative Claims, HealthcareArtificial IntelligenceCardiovascular DiseasesClinical Trials as TopicConfidentialityData Interpretation, StatisticalData VisualizationElectronic Health RecordsHumansInformation Storage and RetrievalMachine LearningRegistriesanalysisartificial intelligenceBig Datadata variationoutcome

Identifiers

PMID31293194
PMCPMC6662116

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.