Evidence map›Paper›PMID 27708281›Full record

ReviewNature reviews. Cardiology2017

The fractal heart - embracing mathematics in the cardiology clinic.

Gabriella Captur, Audrey L Karperien, Alun D Hughes, Darrel P Francis, James C Moon

Abstract readReview
In one paragraph

Review in Nature reviews. Cardiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

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

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. IsJournal of developmental biology · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Prognostic value of left ventricular trabeculae fractal analysis in patients with dilated cardiomyopathy.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2024
    Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Review
  15. Reply to Stöllberger et al.Journal of anatomy · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  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

5 authors.

Gabriella CapturUCL Biological Mass Spectrometry Laboratory, Institute of Child Health and Great Ormond Street Hospital, 30 Guilford Street, London WC1N 1EH, UK; and the NIHR University College London Hospitals Biomedical Research Centre, Tottenham Court Road, London W1T 7DN, UK.
Audrey L KarperienCentre for Research in Complex Systems, School of Community Health, Charles Sturt University, Albury, NSW 2640, Australia.
Alun D HughesInstitute of Cardiovascular Science, University College London, Gower Street, London WC1E 6BT, UK.
Darrel P FrancisInternational Centre for Circulatory Health, National Heart and Lung Institute, Imperial College London, London SW3 6LY, UK.
James C MoonBarts Heart Centre, The Cardiovascular Magnetic Resonance Imaging Unit, St Bartholomew's Hospital, West Smithfield, London, EC1A 7BE, UK.

Funding

British Heart Foundation CS/13/1/30327British Heart Foundation CS/15/6/31468British Heart Foundation FS/10/38/28268British Heart Foundation FS/10/40/28260British Heart Foundation FS/12/56/29723British Heart Foundation PG/12/29/29497
6 · The paper itself

Abstract

For clinicians grappling with quantifying the complex spatial and temporal patterns of cardiac structure and function (such as myocardial trabeculae, coronary microvascular anatomy, tissue perfusion, myocyte histology, electrical conduction, heart rate, and blood-pressure variability), fractal analysis is a powerful, but still underused, mathematical tool. In this Perspectives article, we explain some fundamental principles of fractal geometry and place it in a familiar medical setting. We summarize studies in the cardiovascular sciences in which fractal methods have successfully been used to investigate disease mechanisms, and suggest potential future clinical roles in cardiac imaging and time series measurements. We believe that clinical researchers can deploy innovative fractal solutions to common cardiac problems that might ultimately translate into advancements for patient care.

Indexed as

FractalsCardiac Imaging TechniquesCardiovascular DiseasesHemodynamicsHumansMyocardium

Identifiers

PMID27708281
PMCPMC5218578

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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.