Evidence map›Paper›PMID 33038873›Full record

ArticlePediatric research2021

Pediatric obesity-related non-alcoholic fatty liver disease: waist-to-height ratio best anthropometrical predictor.

Giuseppina R Umano, Anna Grandone, Anna Di Sessa, Domenico Cozzolino, Marcella Pedullà, Pierluigi Marzuillo, Emanuele Miraglia Del Giudice

Abstract read
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In one paragraph

Article in Pediatric research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 24 citations in OpenAlex.

  1. Pooled it
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  9. An interpretable predictive deep learning platform for pediatric metabolic diseases.Journal of the American Medical Informatics Association : JAMIA · 2024
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  16. Evaluation of tri-ponderal mass index in predicting metabolic associated fatty liver disease in obese children.Pediatrics international : official journal of the Japan Pediatric Society
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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

7 authors at 1 institution in 1 country.

Giuseppina R UmanoDepartment of the Woman, the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy. giusi.umano@gmail.com.ORCID http://orcid.org/0000-0002-5570-6620
Anna GrandoneDepartment of the Woman, the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Anna Di SessaDepartment of the Woman, the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Domenico CozzolinoDepartment of Internal Medicine, University of Campania "Luigi Vanvitelli", Naples, Italy.
Marcella PedullàDepartment of the Woman, the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Pierluigi MarzuilloDepartment of the Woman, the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
Emanuele Miraglia Del GiudiceDepartment of the Woman, the Child, of General and Specialized Surgery, University of Campania "Luigi Vanvitelli", Naples, Italy.
University of Campania "Luigi Vanvitelli" · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-alcoholic fatty liver disease (NAFLD) is the most common chronic liver disorder in pediatric obesity. Our study aims to identify a predictive anthropometrical measure for NAFLD in obese children.

methodsWe retrospectively enrolled children and adolescents with obesity. Physical, biochemical, and ultrasound assessments were available. ROC curve tests were performed to identify the best predictor of NAFLD among waist-to-height ratio (WHR), BMI z-score, and triponderal mass index (TMI, an anthropometric index recently associated with increased adiposity in children). Subsequently, a cut-off value was identified.

resultsIn total, 1900 children and adolescents (1011 with NAFLD) were included. WHR (AUC 0.62, 95% CI 0.59-0.64) was the best predictor of NAFLD compared to BMI z-score (AUC 0.58, 95% CI 0.55-0.60) and TMI (AUC 0.58, 95% CI 0.55-0.61). WHR ≥ 0.53 in boys and 0.63 in girls displayed the best sensitivity and specificity for NAFLD presence. In addition, children with high WHR showed a significantly higher risk of NAFLD (boys: OR 2.43, 95% CI 1.61-3.68, p < 0.0001; girls: OR 1.92, 95% CI 1.58-2.34, p < 0.0001) and elevated ALT (OR 5.71, 95% CI 2.09-15.56, p = 0.0007; girls: OR 2.16, 95% CI 1.70-2.74, p < 0.0001) independent of covariates.

conclusionsWHR might represent a good anthropometric tool to candidate children and adolescents to NAFLD screening. WHR cut-off differs according to sex, being lower in boys than girls. IMPACT: Waist-to-height ratio is a better predictor of non-alcoholic fatty liver disease risk compared to other anthropometric measures in obese children and adolescents. The predictive cut-off of waist-to-height ratio differs between boys and girls, being lower in boys than girls. The use of waist-to-height ratio measurement and its cut-off in clinical practice might help clinician in identifying obese children and adolescents at risk of non-alcoholic fatty liver disease.

Indexed as

AnthropometryWaist-Height RatioAdolescentBody Mass IndexChildFemaleHumansMaleNon-alcoholic Fatty Liver DiseasePediatric ObesityRetrospective StudiesRisk Factors

Identifiers

PMID33038873
OpenAlexW3091886278

What OpenQuestion holds

Textmetadata
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.