Evidence map›Paper›PMID 35922806›Full record

ArticleJournal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance2022

Le Cœur en Sabot: shape associations with adverse events in repaired tetralogy of Fallot.

Anna Mîra, Pablo Lamata, Kuberan Pushparajah, Georgina Abraham, Charlène A Mauger, Andrew D McCulloch, Jeffrey H Omens, Malenka M Bissell, Zach Blair, Tyler Huffaker and 10 more

Open access · goldAbstract read
In one paragraph

Article in Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. A deep learning approach for fully automated cardiac shape modeling in tetralogy of Fallot.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance · 2023
    Article
  7. Article
  8. Relationships between heart shape, function, and disease in 38,858 UK biobank participants.Journal of cardiovascular magnetic resonance : official journal of the Society for Cardiovascular Magnetic Resonance
    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

20 authors at 10 institutions in 4 countries.

Anna MîraDepartment of Biomedical Engineering, King's College London, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Pablo LamataDepartment of Biomedical Engineering, King's College London, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Kuberan PushparajahDepartment of Biomedical Engineering, King's College London, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Georgina AbrahamDepartment of Biomedical Engineering, King's College London, 1 Lambeth Palace Road, London, SE1 7EU, UK.
Charlène A MaugerDepartment of Anatomy and Medical Imaging, University of Auckland, Auckland, New Zealand.
Andrew D McCullochDepartment of Bioengineering, University of California San Diego, San Diego, CA, USA.
Jeffrey H OmensDepartment of Bioengineering, University of California San Diego, San Diego, CA, USA.
Malenka M BissellLeeds Institute of Cardiovascular and Metabolic Medicine, University of Leeds, Leeds, England.
Zach BlairDepartment of Pediatrics, Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Tyler HuffakerDepartment of Pediatrics, Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Animesh TandonDepartment of Pediatrics, Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Sandy EngelhardtDepartment of Internal Medicine III, Group Artificial Intelligence in Cardiovascular Medicine, Heidelberg University Hospital, 69120, Heidelberg, Germany.
Sven KoehlerDepartment of Internal Medicine III, Group Artificial Intelligence in Cardiovascular Medicine, Heidelberg University Hospital, 69120, Heidelberg, Germany.
Thomas PickardtGerman Competence Network for Congenital Heart Defects, DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
Philipp BeerbaumGerman Competence Network for Congenital Heart Defects, DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
Samir SarikouchGerman Competence Network for Congenital Heart Defects, DZHK (German Centre for Cardiovascular Research), Berlin, Germany.
Heiner LatusDepartment of Paediatric Cardiology and Congenital Heart Defects, German Heart Centre Munich, Munich, Germany.
Gerald GreilDepartment of Pediatrics, Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
Alistair A YoungDepartment of Biomedical Engineering, King's College London, 1 Lambeth Palace Road, London, SE1 7EU, UK. a.young@auckland.ac.nz.ORCID 0000-0001-5702-4220
Tarique HussainDepartment of Pediatrics, Division of Pediatric Cardiology, University of Texas Southwestern Medical Center, Dallas, TX, USA.
King's College London · GBThe University of Texas Southwestern Medical Center · USHeidelberg University · DEMedizinische Hochschule Hannover · DEUniversity of Auckland · NZUniversity of California San Diego · USCleveland Clinic · USDeutsches Herzzentrum München · DEGerman Centre for Cardiovascular Research · DEUniversity of Leeds · GB

Funding

The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
Novel Cardiac MRI-Based Predictors for Tetralogy of Fallot: Deformation, Kinematic, and Geometric AnalysesK23HL150279 · NHLBI · UT SOUTHWESTERN MEDICAL CENTER · PI TANDON, ANIMESH · 2021 to 2025
$847k
NHLBI NIH HHS K23 HL150279NHLBI NIH HHS R01 HL121754Wellcome Trust 209450/Z/17/Z
6 · The paper itself

Abstract

backgroundMaladaptive remodelling mechanisms occur in patients with repaired tetralogy of Fallot (rToF) resulting in a cycle of metabolic and structural changes. Biventricular shape analysis may indicate mechanisms associated with adverse events independent of pulmonary regurgitant volume index (PRVI). We aimed to determine novel remodelling patterns associated with adverse events in patients with rToF using shape and function analysis.

methodsBiventricular shape and function were studied in 192 patients with rToF (median time from TOF repair to baseline evaluation 13.5 years). Linear discriminant analysis (LDA) and principal component analysis (PCA) were used to identify shape differences between patients with and without adverse events. Adverse events included death, arrhythmias, and cardiac arrest with median follow-up of 10 years.

resultsLDA and PCA showed that shape characteristics pertaining to adverse events included a more circular left ventricle (LV) (decreased eccentricity), dilated (increased sphericity) LV base, increased right ventricular (RV) apical sphericity, and decreased RV basal sphericity. Multivariate LDA showed that the optimal discriminative model included only RV apical ejection fraction and one PCA mode associated with a more circular and dilated LV base (AUC = 0.77). PRVI did not add value, and shape changes associated with increased PRVI were not predictive of adverse outcomes.

conclusionPathological remodelling patterns in patients with rToF are significantly associated with adverse events, independent of PRVI. Mechanisms related to incident events include LV basal dilation with a reduced RV apical ejection fraction.

Indexed as

Cardiac Surgical ProceduresPulmonary Valve InsufficiencyTetralogy of FallotHumansPredictive Value of TestsVentricular Function, RightBiomarkerBiventricular shapeMagnetic resonance imagingTetralogy of Fallot

Identifiers

PMID35922806
PMCPMC9351245
OpenAlexW4289687809

What Socratic 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 Socratic graph.