Evidence map›Paper›PMID 34931224›Full record

ArticleEuropean heart journal. Cardiovascular Imaging2022

A three-dimensional atlas of child's cardiac anatomy and the unique morphological alterations associated with obesity.

Maciej Marciniak, Arend W van Deutekom, Liza Toemen, Adam J Lewandowski, Romy Gaillard, Alistair A Young, Vincent W V Jaddoe, Pablo Lamata

Open access · hybridAbstract read
In one paragraph

Article in European heart journal. Cardiovascular Imaging, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 3 pooled it
2.8field-weighted citation impact, top 8% 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

18 citing papers in PubMed, 3 syntheses or guidelines pooled it, 27 citations in OpenAlex.

  1. Identifying Key Predictors of Mid-Childhood Obesity in a Population-Based Cohort Study: An Evidence Synthesis and Predictive Modeling Study.Obesity reviews : an official journal of the International Association for the Study of Obesity · 2025
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  6. Cardiac morphology and flow dynamics in children born to hypertensive pregnancies.European heart journal. Imaging methods and practice · 2026
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  11. A computational study on the influence of antegrade accessory pathway location on the 12-lead electrocardiogram in Wolff-Parkinson-White syndrome.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
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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

8 authors at 3 institutions in 2 countries.

Maciej MarciniakDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, Kings' College London, 5th Floor Becket House, Lambeth Palace Road, London SE1 7EU, UK.ORCID 0000-0002-4277-7446
Arend W van DeutekomDepartment of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-8284-8288
Liza ToemenDepartment of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0001-5211-6855
Adam J LewandowskiDivision of Cardiovascular Medicine, Radcliffe Department of Medicine, Oxford Cardiovascular Clinical Research Facility, University of Oxford, Level 1 Oxford Heart Centre, John Radliffe Hospital, Headley Way, Headington, Oxford, OX3 9DU, UK.ORCID 0000-0002-4978-8965
Romy GaillardDepartment of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.ORCID 0000-0002-7967-4600
Alistair A YoungDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, Kings' College London, 5th Floor Becket House, Lambeth Palace Road, London SE1 7EU, UK.
Vincent W V JaddoeDepartment of Paediatrics, Erasmus MC, University Medical Center, Rotterdam, the Netherlands.
Pablo LamataDepartment of Biomedical Engineering, School of Biomedical Engineering and Imaging Sciences, Kings' College London, 5th Floor Becket House, Lambeth Palace Road, London SE1 7EU, UK.ORCID 0000-0002-3097-4928
Erasmus MC · NLKing's College London · GBJohn Radcliffe Hospital · GB

Funding

The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
British Heart Foundation PG/16/75/32383NHLBI NIH HHS R01 HL121754Wellcome Trust
6 · The paper itself

Abstract

aimsStatistical shape models (SSMs) of cardiac anatomy provide a new approach for analysis of cardiac anatomy. In adults, specific cardiac morphologies associate with cardiovascular risk factors and early disease stages. However, the relationships between morphology and risk factors in children remain unknown. We propose an SSM of the paediatric left ventricle to describe its morphological variability, examine its relationship with biometric parameters and identify adverse anatomical remodelling associated with obesity. METHODS AND

resultsThis cohort includes 2631 children (age 10.2 ± 0.6 years), mostly Western European (68.3%) with a balanced sex distribution (51.3% girls) from Generation R study. Cardiac magnetic resonance short-axis cine scans were segmented. Three-dimensional left ventricular (LV) meshes are automatically fitted to the segmentations to reconstruct the anatomies. We analyse the relationships between the LV anatomical features and participants' body surface area (BSA), age, and sex, and search for features uniquely related to obesity based on body mass index (BMI). In the SSM, 19 modes described over 90% of the population's LV shape variability. Main modes of variation were related to cardiac size, sphericity, and apical tilting. BSA, age, and sex were mostly correlated with modes describing LV size and sphericity. The modes correlated uniquely with BMI suggested that obese children present with septo-lateral tilting (R2 = 4.0%), compression in the antero-posterior direction (R2 = 3.3%), and decreased eccentricity (R2 = 2.0%).

conclusionsWe describe the variability of the paediatric heart morphology and identify anatomical features related to childhood obesity that could aid in risk stratification. Web service is released to provide access to the new shape parameters.

Indexed as

Magnetic Resonance Imaging, CinePediatric ObesityAdultChildFemaleHeartHeart VentriclesHumansMaleVentricular Function, Leftepidemiologymagnetic resonance imagingobesitypaediatricsrisk factors

Identifiers

PMID34931224
PMCPMC9671403
OpenAlexW4200113304

What OpenQuestion holds

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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.