Evidence map›Paper›PMID 33804501›Full record

ArticleChildren (Basel, Switzerland)2021

A Multivariate Pattern Analysis of Metabolic Profile in Neurologically Impaired Children and Adolescents.

Valeria Calcaterra, Giacomo Biganzoli, Gloria Pelizzo, Hellas Cena, Alessandra Rizzuto, Francesca Penagini, Elvira Verduci, Alessandra Bosetti, Daniela Lucini, Elia Biganzoli and 1 more

Open access · goldAbstract read
In one paragraph

Article in Children (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 26% 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

5 citing papers in PubMed, 6 citations in OpenAlex.

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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

11 authors at 3 institutions in 1 country.

Valeria CalcaterraPediatric and Adolescent Unit, Department of Internal Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-2137-5974
Giacomo BiganzoliPharmacogenomics & Precision Therapeutics Master Degree, University of Milan, 20142 Milan, Italy.
Gloria PelizzoPediatric Surgery Unit, "V. Buzzi" Children's Hospital, University of Milan, 20154 Milan, Italy.
Hellas CenaLaboratory of Dietetics and Clinical Nutrition, Department of Public Health, Experimental and Forensic Medicine, University of Pavia, 27100 Pavia, Italy.ORCID 0000-0002-5752-6199
Alessandra RizzutoPharmacogenomics & Precision Therapeutics Master Degree, University of Milan, 20142 Milan, Italy.
Francesca PenaginiPediatric Department, "V. Buzzi" Children's Hospital, 20154 Milan, Italy.
Elvira VerduciPediatric Department, "V. Buzzi" Children's Hospital, 20154 Milan, Italy.ORCID 0000-0003-2111-3111
Alessandra BosettiPediatric Department, "V. Buzzi" Children's Hospital, 20154 Milan, Italy.
Daniela LuciniDepartment of Medical Biotechnologies and Translational Medicine, University of Milan, 20133 Milan, Italy.
Elia BiganzoliDepartment of Clinical Sciences and Community Health & DSRC, University of Milan, 20122 Milan, Italy.ORCID 0000-0003-1202-5873
Gian Vincenzo ZuccottiPediatric Department, "V. Buzzi" Children's Hospital, 20154 Milan, Italy.ORCID 0000-0002-2795-9874
University of Milan · ITOspedale dei Bambini Vittore Buzzi · ITUniversity of Pavia · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe prevalence of pediatric metabolic syndrome is usually closely linked to overweight and obesity; however, this condition has also been described in children with disabilities. We performed a multivariate pattern analysis of metabolic profiles in neurologically impaired children and adolescents in order to reveal patterns and crucial biomarkers among highly interrelated variables. PATIENTS AND

methodsWe retrospectively reviewed 44 cases of patients (25M/19F, mean age 12.9 ± 8.0) with severe disabilities. Clinical and anthropometric parameters, body composition, blood pressure, and metabolic and endocrinological assessment (fasting blood glucose, insulin, total cholesterol, high-density lipoprotein cholesterol, triglycerides, glutamic oxaloacetic transaminase, glutamate pyruvate transaminase, gamma-glutamyl transpeptidase) were recorded in all patients. As a control group, we evaluated 120 healthy children and adolescents (61M/59F, mean age 12.9 ± 2.7).

resultsIn the univariate analysis, the children-with-disabilities group showed a more dispersed distribution, thus with higher variability of the features related to glucose metabolism and insulin resistance (IR) compared to the healthy controls. The principal component (PC1), which emerged from the PC analysis conducted on the merged dataset and characterized by these variables, was crucial in describing the differences between the children-with-disabilities group and controls.

conclusionChildren and adolescents with disabilities displayed a different metabolic profile compared to controls. Metabolic syndrome (MetS), particularly glucose metabolism and IR, is a crucial point to consider in the treatment and care of this fragile pediatric population. Early detection of the interrelated variables and intervention on these modifiable risk factors for metabolic disturbances play a central role in pediatric health and life expectancy in patients with a severe disability.

Indexed as

childrendisabilityinsulin resistancemetabolic syndrome

Identifiers

PMID33804501
PMCPMC7998889
OpenAlexW3135002104

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.