Evidence map›Paper›PMID 30428934›Full record

ArticleLipids in health and disease2018

Are non-high-density lipoprotein fractions associated with pediatric metabolic syndrome? The CASPIAN-V study.

Pooneh Angoorani, Majid Khademian, Hanieh-Sadat Ejtahed, Ramin Heshmat, Mohammad Esmaeil Motlagh, Mahya Vafaeenia, Gita Shafiee, Armita Mahdivi-Gorabi, Mostafa Qorbani, Roya Kelishadi

Open access · goldAbstract read
In one paragraph

Article in Lipids in health and disease, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.5field-weighted citation impact, top 31% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 10 citations in OpenAlex.

  1. Pooled it
  2. Multidimensional perspective of obesity; prevention to treatment.Journal of diabetes and metabolic disorders · 2024
    Review
  3. Review
  4. Article
  5. Article
  6. Criteria in the Diagnosis of Metabolic Syndrome in Children: A Scoping Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
  7. 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

10 authors at 4 institutions in 1 country.

Pooneh AngooraniChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Majid KhademianDepartment of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Hezar-Jarib Ave, Isfahan, Iran.
Hanieh-Sadat EjtahedObesity and Eating Habits Research Center, Endocrinology and Metabolism Clinical Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Ramin HeshmatChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mohammad Esmaeil MotlaghDepartment of Pediatrics, Ahvaz Jundishapur University of Medical Sciences, Ahvaz, Iran.
Mahya VafaeeniaChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Gita ShafieeChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Armita Mahdivi-GorabiChronic Diseases Research Center, Endocrinology and Metabolism Population Sciences Institute, Tehran University of Medical Sciences, Tehran, Iran.
Mostafa QorbaniNon-communicable Diseases Research Center, Alborz University of Medical Sciences, Karaj, Iran. mqorbani1379@yahoo.com.
Roya KelishadiDepartment of Pediatrics, Child Growth and Development Research Center, Research Institute for Primordial Prevention of Non-communicable Disease, Isfahan University of Medical Sciences, Hezar-Jarib Ave, Isfahan, Iran. kelishadi@med.mui.ac.ir.
Tehran University of Medical Sciences · IRIsfahan University of Medical Sciences · IRAhvaz Jundishapur University of Medical Sciences · IRJahrom University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-high-density lipoprotein cholesterol (non-HDL-C) is considered as a valuable predictor for dyslipidemia and subclinical atherosclerosis which can be an appropriate index for identifying individuals with metabolic syndrome (MetS).

objectiveTo evaluate the association between non-HDL-C MetS and determine the optimal cut-points of non-HDL-C fractions for identifying MetS in Iranian children and adolescents.

methodsThis nationwide study was conducted in the framework of the fifth survey of a national school-based surveillance program on children and adolescents aged 7-18 years. MetS was defined by the Adult Treatment Panel III (ATP III) criteria modified for the pediatric age group. The analysis of receiver operating characteristic (ROC) curve was applied to determine the optimal cut-points of non-HDL-C, difference between non-HDL-C and LDL-C (Diff-C) and triglycerides (TG) to HDL-C ratio (TG/HDL-C) for the prediction of MetS.

resultsOverall, the study participants consisted of 3843 students (52.3% boys) with mean (±SD) age of 12.28 (3.1) years. The odds of high LDL-C, low HDL-C and MetS were increased in subjects with higher non-HDL-C, Diff-C and TG/HDL-C (P < 0.05). Non-HDL-C, Diff-C and TG/HDL-C cut-off points for predicting MetS were 120.5 mg/dl (sensitivity: 44%, specificity: 73%), 19.9 mg/dl (sensitivity: 85%, specificity: 75%) and 2.53 (sensitivity: 82%, specificity: 79%), respectively.

conclusionsThis study revealed a strong association between surrogates for serum lipid profile including non-HDL-C, TG/HDL-C and Diff-C and pediatric MetS. Our findings suggest that age- and gender-specific reference values of these markers were appropriate for both risk classification and long-term control of cardiovascular events in clinical assessments.

Indexed as

AdolescentBiomarkersChildCholesterol, LDLCholesterol, VLDLFemaleHumansIranMaleMetabolic SyndromeSensitivity and SpecificityBiomarkersCholesterol, LDLCholesterol, VLDLAdolescentsChildrenMetabolic syndromeNon-high-density lipoprotein cholesterol

Identifiers

PMID30428934
PMCPMC6236929
OpenAlexW2900526962

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.