Evidence map›Paper›PMID 32401808›Full record

ArticlePloS one2020

Added values of DXA-derived visceral adipose tissue to discriminate cardiometabolic risks in pre-pubertal children.

Li-Wen Lee, Chu-Jung Hsieh, Yun-Hsuan Wu, Yu-San Liao

Open access · goldAbstract read
In one paragraph

Article in PloS one, 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
0.4field-weighted citation impact, top 41% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

  1. Clinical Thresholds for Visceral Adiposity Accumulation: A Comparative Analysis in Sex-, Age-, and BMI-Matched Black and White Adults.American journal of human biology : the official journal of the Human Biology Council · 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

4 authors at 2 institutions in 1 country.

Li-Wen LeeDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Puzi City, Chiayi, Taiwan.ORCID 0000-0001-8019-1772
Chu-Jung HsiehDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Puzi City, Chiayi, Taiwan.
Yun-Hsuan WuDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Puzi City, Chiayi, Taiwan.
Yu-San LiaoDepartment of Diagnostic Radiology, Chang Gung Memorial Hospital, Puzi City, Chiayi, Taiwan.
Chang Gung University of Science and Technology · TWChiayi Chang Gung Memorial Hospital · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe new generation of dual energy X-ray absorptiometry (DXA) scanners provide visceral adipose tissue (VAT) estimates by applying different algorithms to the conventional DXA-derived fat parameters such as total fat, trunk fat and android fat for the same image data.

objectiveThis cross-sectional study aimed to investigate whether VAT estimates from Hologic scanners are better predictors of VAT than conventional DXA parameters in pre-pubertal children, and to explore the discrimination ability of these VAT methods for cardiometabolic risks.

methodsHealthy pre-pubertal children aged 7-10 years were recruited for basic anthropometric, DXA and magnetic resonance imaging (MRI) measurements. Laboratory tests included lipid profile, glycaemic tests and blood pressure.

resultsAll VAT methods had acceptable to excellent performance for the diagnosis of dyslipidaemia (area under the curve [AUC] = 0.753-0.837) and hypertensive risk (AUC = 0.710-0.821) in boys, but suboptimal performance for these risks in girls, except for VAT by MRI in the diagnosis of dyslipidaemia. In both sexes, all VAT methods had no or poor discrimination ability for diabetes risk.

conclusionsDXA-derived VAT estimates are very highly correlated with standard methods but has equivalent discrimination abilities compared to the existing DXA-derived fat estimates.

Indexed as

Absorptiometry, PhotonAlgorithmsBlood Pressure DeterminationChildCross-Sectional StudiesDiabetes MellitusDyslipidemiasFemaleHumansHypertensionIntra-Abdominal FatLipidsMagnetic Resonance ImagingMaleProspective StudiesPubertyLipids

Identifiers

PMID32401808
PMCPMC7219764
OpenAlexW3024413461

What OpenQuestion holds

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LicenceCC BY
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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.