Evidence map›Paper›PMID 26418011›Full record

ArticlePloS one2015

Continuous Metabolic Syndrome Scores for Children Using Salivary Biomarkers.

Ping Shi, J Max Goodson, Mor-Li Hartman, Hatice Hasturk, Tina Yaskell, Jorel Vargas, Maryann Cugini, Roula Barake, Osama Alsmadi, Sabiha Al-Mutawa and 5 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Observational
  2. Review
  3. Observational
  4. Criteria in the Diagnosis of Metabolic Syndrome in Children: A Scoping Review.Diabetes, metabolic syndrome and obesity : targets and therapy · 2023
    Article
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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

15 authors at 4 institutions in 2 countries.

Ping ShiDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
J Max GoodsonDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Mor-Li HartmanDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Hatice HasturkDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Tina YaskellDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Jorel VargasDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Maryann CuginiDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Roula BarakeThe Dasman Diabetes Institute, Kuwait City, Kuwait.
Osama AlsmadiThe Dasman Diabetes Institute, Kuwait City, Kuwait.
Sabiha Al-MutawaMinistry of Health, Kuwait City, Kuwait.
Jitendra ArigaMinistry of Health, Kuwait City, Kuwait.
Pramod SoparkarDepartment of Applied Oral Sciences, the Forsyth Research Institute, Cambridge, Massachusetts, United States of America.
Jawad BehbehaniFaculty of Dentistry, Kuwait University, Kuwait City, Kuwait.
Kazem BehbehaniThe Dasman Diabetes Institute, Kuwait City, Kuwait.
Francine WeltyDivision of Cardiology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, United States of America.
Dasman Diabetes Institute · KWMinistry of Health · KWBeth Israel Deaconess Medical Center · USKuwait University · KW

Funding

Transgenic CoreP30DK046200 · NIDDK · TUFTS MEDICAL CENTER · PI CORKEY, BARBARA E. · 1992 to 2021
$25.0M
NIDDK NIH HHS P30 DK046200NIDDK NIH HHS P30 DK46200
6 · The paper itself

Abstract

backgroundBinary definitions of the metabolic syndrome based on the presence of a particular number of individual risk factors are limited, particularly in the pediatric population. To address this limitation, we aimed at constructing composite and continuous metabolic syndrome scores (cmetS) to represent an overall measure of metabolic syndrome (MetS) in a large cohort of metabolically at-risk children, focusing on the use of the usual clinical parameters (waist circumference (WC) and systolic blood pressure (SBP), supplemented with two salivary surrogate variables (glucose and high density lipoprotein cholesterol (HDLC). Two different approaches used to create the scores were evaluated in comparison.

methodsData from 8,112 Kuwaiti children (10.00 ± 0.67 years) were used to construct two cmetS for each subject. The first cmetS (cmetS-Z) was created by summing standardized residuals of each variable regressed on age and gender; and the second cmetS (cmetS-PCA) was defined as the first principal component from gender-specific principal component analysis based on the four variables.

resultsThere was a graded relationship between both scores and the number of adverse risk factors. The areas under the curve using cmetS-Z and cmetS-PCA as predictors for severe metabolic syndrome (defined as the presence of ≥3 metabolic risk factors) were 0.935 and 0.912, respectively. cmetS-Z was positively associated with WC, SBP, and glucose, but inversely associated with HDLC. Except for the lack of association with glucose, cmetS-PCA was similar to cmetS-Z in boys, but had minimum loading on HDLC in girls. Analysis using quantile regression showed an inverse association of fitness level with cmetS-PCA (p = 0.001 for boys; p = 0.002 for girls), and comparison of cmetS-Z and cmetS-PCA suggested that WC and SBP were main contributory components. Significant alterations in the relationship between cmetS and salivary adipocytokines were demonstrated in overweight and obese children as compared to underweight and normal-weight children.

conclusionWe have derived continuous summary scores for MetS from a large-scale pediatric study using two different approaches, incorporating salivary measures as surrogate for plasma measures. The derived scores were viable expressions of metabolic risk, and can be utilized to study the relationships of MetS with various aspects of the metabolic disease process.

Indexed as

BiomarkersBody Mass IndexChildCohort StudiesFemaleHumansMaleMetabolic SyndromeObesityPrognosisRisk FactorsSalivaWaist CircumferenceBiomarkers

Identifiers

PMID26418011
PMCPMC4587796
OpenAlexW2191558232

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.