Evidence map›Paper›PMID 37942175›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2023

Criteria in the Diagnosis of Metabolic Syndrome in Children: A Scoping Review.

Jorge Luis Díaz-Ortega, Irma Luz Yupari-Azabache, Joao Alonzo Caballero Vidal, Nelson Enrique Conde-Parada, Abigail Fernanda Rojas Gamboa

Abstract readScoping Review
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Observational
  6. Article
  7. Review
  8. Review
  9. Uric acid and unhealthy metabolic phenotype in Colombian children.Pediatric endocrinology, diabetes, and metabolism · 2025
    Article
  10. Article
  11. Article
  12. Article
  13. 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

5 authors.

Jorge Luis Díaz-OrtegaGrupo de investigación en Síndrome Metabólico, Universidad César Vallejo, Trujillo, Perú.ORCID 0000-0002-6154-8913
Irma Luz Yupari-AzabacheGrupo de investigación en Síndrome Metabólico, Universidad César Vallejo, Trujillo, Perú.ORCID 0000-0002-0030-0172
Joao Alonzo Caballero VidalGrupo de investigación en Síndrome Metabólico, Universidad César Vallejo, Trujillo, Perú.ORCID 0000-0003-0529-4821
Nelson Enrique Conde-ParadaGrupo de investigación en Síndrome Metabólico, Universidad César Vallejo, Trujillo, Perú.ORCID 0000-0002-5913-9598
Abigail Fernanda Rojas GamboaGrupo de investigación en Síndrome Metabólico, Universidad César Vallejo, Trujillo, Perú.ORCID 0000-0002-8288-5564

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Currently, there is no consensus on the criteria for identifying metabolic syndrome in children, as observed in the diversity of research developed. For this reason, a scoping review was developed in this work, in order to compare the criteria for the diagnosis of metabolic syndrome (MetS) applied in children, described in observational, descriptive cross-sectional studies. The databases PubMed, Scopus, Web of Science and the search engine Google Scholar were used. The search terms "metabolic syndrome", "cardiometabolic syndrome", "child", "children" and "childhood" were considered, as well as the names of organizations or authors proposing identification criteria for MetS to establish search relationships using the Boolean connectors "AND" and "OR". Likewise, two reviewers carried out the evaluation and selection of articles, of which 26 articles were included in which children aged 6 to 12 participated. It was found that the most commonly used criteria for identifying MetS since 2015 are those of Cook et al, IDF, NCEP ATPIII, and De Ferranti et al, in that order. Specific criteria, such as those proposed by Cook et al, are being chosen to enhance the accuracy of identifying MetS in children. The most common risk factors in children with MetS are abdominal circumference and BMI, followed by triglycerides, HDL, blood pressure, and blood glucose. The prevalence of MetS in children varies according to the criteria used, being higher with De Ferranti et al.

Indexed as

childcholesteroldiagnosismetabolic syndromeobesity (thesaurus: DeCS/MeSH)triglycerides

Identifiers

PMID37942175
PMCPMC10629454

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.