Evidence map›Paper›PMID 27598976›Full record

Observational studyArchives of endocrinology and metabolism

Leptin as a predictor of metabolic syndrome in prepubertal children.

Isabel Madeira, Maria Alice Bordallo, Nádia Cristina Rodrigues, Cecilia Carvalho, Fernanda Gazolla, Paulo Collett-Solberg, Clarice Medeiros, Ana Paula Bordallo, Marcos Borges, Claudia Monteiro and 1 more

Open access · diamondAbstract readObservational Study
In one paragraph

Observational study in Archives of endocrinology and metabolism. 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
1.1field-weighted citation impact, top 25% 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, 37 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Mechanisms of Oxidative Stress in Metabolic Syndrome.International journal of molecular sciences · 2023
    Review
  7. Article
  8. Useful Biomarkers of Metabolic Syndrome.International journal of environmental research and public health · 2022
    Article
  9. Review
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
  16. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors at 2 institutions in 1 country.

Isabel MadeiraFaculdade de Ciências Médicas, Departamento de Pediatria, Universidade do Estado do Rio de Janeiro (UERJ), Rio de Janeiro, RJ, Brasil.
Maria Alice BordalloFaculdade de Ciências Médicas, Departamento de Medicina Interna, UERJ, Rio de Janeiro, RJ, Brasil.
Nádia Cristina RodriguesFaculdade de Ciências Médicas, Departamento de Tecnologias da Informação e Educação em Saúde, UERJ, Rio de Janeiro, RJ, Brasil.
Cecilia CarvalhoInstituto de Nutrição, Departamento de Nutrição Aplicada, UERJ, Rio de Janeiro, RJ, Brasil.
Fernanda GazollaHospital Universitário Pedro Ernesto, Unidade Docente Assistencial de Endocrinologia e Metabologia, UERJ, Rio de Janeiro, RJ, Brasil.
Paulo Collett-SolbergFaculdade de Ciências Médicas, Departamento de Medicina Interna, UERJ, Rio de Janeiro, RJ, Brasil.
Clarice MedeirosHospital Universitário Pedro Ernesto, Unidade Docente Assistencial de Endocrinologia e Metabologia, UERJ, Rio de Janeiro, RJ, Brasil.
Ana Paula BordalloHospital Universitário Pedro Ernesto, Unidade Docente Assistencial de Endocrinologia e Metabologia, UERJ, Rio de Janeiro, RJ, Brasil.
Marcos BorgesHospital Universitário Pedro Ernesto, Unidade Docente Assistencial de Endocrinologia e Metabologia, UERJ, Rio de Janeiro, RJ, Brasil.
Claudia MonteiroHospital Universitário Pedro Ernesto, Unidade Docente Assistencial de Endocrinologia e Metabologia, UERJ, Rio de Janeiro, RJ, Brasil.
Rebeca RibeiroFaculdade de Ciências Médicas, UERJ, Rio de Janeiro, RJ, Brasil.
Universidade do Estado do Rio de Janeiro · BRHospital Universitário Pedro Ernesto · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveLeptin has been suggested as a potential biomarker of cardiovascular risk. This paper aims to ascertain, based on a sample of prepubertal children, which serum leptin value best suited to identify metabolic syndrome (MS). SUBJECTS AND

methodsThis observational, cross-sectional study recruited children from the outpatient pediatrics clinic, with the purpose of validating serum leptin level cutoffs to identify MS. All obese and overweight children who met eligibility criteria were included in the study, as was a sample of normal-weight children. The sample underwent clinical assessment and blood fasting glucose, lipid profile, insulin, and leptin were measured. Sensitivity and specificity were estimated for each leptin measurement, using MS as the outcome. These values were used to construct a receiver operating characteristic (ROC) curve. The association between MS and leptin was assessed using logistic models to predict MS.

resultsA total of 65 normal weight, 46 overweight, and 164 obese children were analyzed (160 boys, 115 girls; age: 93.7 ± 17.8 months). The most appropriate leptin cutoff was 13.4 ng/mL (sensitivity 67.6%; specificity 68.9%; accuracy 72.1%). The logistic model indicated that leptin levels above 13.4 ng/dL were significantly associated with MS and that, for every 1 ng/dL increase in leptin levels, the odds of MS increase by 3% (p = 0.002; OR 1.03; 95% CI 1.01-1.05).

conclusionsLeptin may be a useful biomarker of cardiovascular risk in prepubertal children, with an optimal cutoff of 13.4 ng/mL. Identification of potential new risk markers for cardiovascular disease in children could contribute to the development of preventive strategies.

Indexed as

BiomarkersChildCross-Sectional StudiesFemaleHumansLeptinMaleMetabolic SyndromePredictive Value of TestsROC CurveSensitivity and SpecificityBiomarkersLeptin

Identifiers

PMID27598976
PMCPMC10522114
OpenAlexW2508941189

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.