Evidence map›Paper›PMID 21911326›Full record

ArticleJournal of clinical research in pediatric endocrinology2011

The relationship between metabolic syndrome and left ventricular mass index in obese children.

Mehmet Emre Atabek, Esra Akyüz, Beray Selver Eklioğlu, Derya Çimen

Abstract read
In one paragraph

Article in Journal of clinical research in pediatric endocrinology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Iron Metabolism in Obesity and Metabolic Syndrome.International journal of molecular sciences · 2020
    Review
  5. Observational
  6. Article
  7. Article
  8. Article
  9. Childhood obesity and autonomic dysfunction: risk for cardiac morbidity and mortality.Current treatment options in cardiovascular medicine · 2014
    Article
  10. Article
  11. 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

4 authors.

Mehmet Emre AtabekSelçuk University School of Medicine, Department of Pediatric Endocrinology and Diabetes, Konya, Turkey.
Esra Akyüz
Beray Selver Eklioğlu
Derya Çimen

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate the relationships between metabolic syndrome (MS), other metabolic features and left ventricular mass index (LVMI) in a population of obese children and adolescents with MS.

methodsTwo hundred and eight obese children and adolescents (119 females and 89 males, mean age: 11.9±2.7 years) and control subjects (24 females and 26 males, mean age: 11.4±2.9 years) were enrolled in the study. The insulin sensitivity index and LVMI were determined. The International Diabetes Federation criteria were used to diagnose MS.

resultsThe obese patients were divided into MS group (n=55) and non-MS (n=153) group. The values of LVMI in the MS group were significantly higher than those in the non-MS group (p=0.014). The present LVMI cut-off point of 33 g/m² for the diagnosis of MS yielded a sensitivity of 97% and a specificity of 98%. LVMI was found to be positively correlated in univariate analysis with height, weight, body mass index (BMI) SDS, fasting insulin level, homeostasis model assessment of insulin resistance (HOMA-IR) and fasting glucose to insulin ratio (FGIR) and negatively correlated with quantitative insulin sensitivity check index (QUICK-I).

conclusionsWe suggest that our optimal LVMI cut-off value for identifying MS may be considered as a sensitive index in screening obese children and adolescents for pediatric MS. Assessment of LVMI in obese children and adolescents may be used as a tool in predicting the presence of MS and its associated cardiovascular risks.

Indexed as

AdolescentBlood GlucoseBody Mass IndexCase-Control StudiesChildEchocardiographyFemaleHeartHeart VentriclesHumansInsulin ResistanceMaleMetabolic SyndromeObesityROC CurveTurkeyBlood Glucose

Identifiers

PMID21911326
PMCPMC3184514

What Socratic holds

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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 Socratic graph.