Evidence map›Paper›PMID 32172704›Full record

ArticleCardiology in the young2020

Lean body mass is the strongest anthropometric predictor of left ventricular mass in the obese paediatric population.

James R Shea, Melissa H Henshaw, Janet Carter, Shahryar M Chowdhury

Abstract read
In one paragraph

Article in Cardiology in the young, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. 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

4 authors.

James R SheaDepartment of Pediatrics, Division of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0002-5878-2880
Melissa H HenshawDepartment of Pediatrics, Division of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC, USA.
Janet CarterDepartment of Pediatrics, Division of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC, USA.
Shahryar M ChowdhuryDepartment of Pediatrics, Division of Pediatric Cardiology, Medical University of South Carolina, Charleston, SC, USA.ORCID https://orcid.org/0000-0001-7685-7877

Funding

South Carolina Clinical & Translational Research Institute (SCTR)UL1TR000062 · NCATS · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI BRADY, KATHLEEN T. · 2012 to 2014
$9.4M
Research Training in Pediatric CardiologyT32HL007710 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI GRAHAM, ERIC M. · 1994 to 2014
$3.6M
Heart Failure in Single Right Ventricle Physiology: Pathologic Mechanisms and Novel AssessmentK23HL133447 · NHLBI · MEDICAL UNIVERSITY OF SOUTH CAROLINA · PI CHOWDHURY, SHAHRYAR M. · 2017 to 2021
$1.0M
NCATS NIH HHS UL1 TR000062NHLBI NIH HHS K23 HL133447NHLBI NIH HHS T32 HL007710
6 · The paper itself

Abstract

backgroundIndexing left ventricular mass to body surface area or height2.7 leads to inaccuracies in diagnosing left ventricular hypertrophy in obese children. Lean body mass predictive equations provide the opportunity to determine the utility of lean body mass in indexing left ventricular mass. Our objectives were to compare the diagnostic accuracy of predicted lean body mass, body surface area, and height in detecting abnormal left ventricle mass in obese children.

methodsObese non-hypertensive patients aged 4-21 years were recruited prospectively. Dual-energy X-ray absorptiometry was used to measure lean body mass. Height, weight, sex, race, and body mass index z-score were used to calculate predicted lean body mass.

resultsWe enrolled 328 patients. Average age was 12.6 ± 3.8 years. Measured lean body mass had the strongest relationship with left ventricular mass (R2 = 0.84, p < 0.01) compared to predicted lean body mass (R2 = 0.82, p < 0.01), body surface area (R2 = 0.80, p < 0.01), and height2.7 (R2 = 0.65, p < 0.01). Of the clinically derived variables, predicted lean body mass was the only measure to have an independent association with left ventricular mass (β = 0.90, p < 0.01). Predicted lean body mass was the most accurate scaling variable in detecting left ventricular hypertrophy (positive predictive value = 88%, negative predictive value = 99%).

conclusionsLean body mass is the strongest predictor of left ventricular mass in obese children. Predicted lean body mass is the most accurate anthropometric scaling variable for left ventricular mass in left ventricular hypertrophy detection. Predicted lean body mass should be considered for clinical use as the body size correcting variable for left ventricular mass in obese children.

Indexed as

Body Mass IndexAdolescentChildChild, PreschoolCross-Sectional StudiesEchocardiographyFemaleHeart VentriclesHumansHypertrophy, Left VentricularMaleObesityPrevalenceProspective StudiesReproducibility of ResultsSouth CarolinaechocardiographyLean body massobesity

Identifiers

PMID32172704
PMCPMC7977683

What OpenQuestion holds

Textmetadata
LicenceTDM
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.