Evidence map›Paper›PMID 27133621›Full record

ArticleInternational journal of obesity (2005)2016

Inter-relationships between the severity of metabolic syndrome, insulin and adiponectin and their relationship to future type 2 diabetes and cardiovascular disease.

M D DeBoer, M J Gurka, J A Morrison, J G Woo

Abstract read
In one paragraph

Article in International journal of obesity (2005), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
43citing papers in PubMed, 3 pooled it
6.2field-weighted citation impact, top 3% 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

43 citing papers in PubMed, 3 syntheses or guidelines pooled it, 54 citations in OpenAlex.

  1. Pooled it
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  19. Prediabetes in Adolescents: Prevalence, Management and Diabetes Prevention Strategies.Diabetes, metabolic syndrome and obesity : targets and therapy · 2021
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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

4 authors at 4 institutions in 1 country.

M D DeBoerDepartment of Pediatrics, University of Virginia, Charlottesville, VA, USA.
M J GurkaDepartment of Health Outcomes and Policy, University of Florida, Gainesville, FL, USA.
J A MorrisonDivision of Cardiology, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
J G WooDepartment of Pediatrics, University of Cincinnati, Cincinnati, OH, USA.
Cincinnati Children's Hospital Medical Center · USUniversity of Cincinnati · USUniversity of Florida Health · USUniversity of Virginia · US

Funding

Socioeconomic Status and Subjective Social Status as Modifiers of Stressors and Discrimination in their Relationship with MetS Severity Over TimeR01HL120960 · NHLBI · WEST VIRGINIA UNIVERSITY · PI DEBOER, MARK DANIEL, GURKA, MATTHEW JAMES · 2014 to 2018
$2.1M
Inflammatory Mechanisms of Puberty Dysregulation in ColitisK08HD060739 · NICHD · UNIVERSITY OF VIRGINIA · PI DEBOER, MARK DANIEL · 2009 to 2013
$649k
Development of a childhood metabolic syndrome risk score for predicting adult disR21DK085363 · NIDDK · WEST VIRGINIA UNIVERSITY · PI DEBOER, MARK DANIEL, GURKA, MATTHEW JAMES · 2010 to 2011
$231k
NHLBI NIH HHS R01 HL120960NICHD NIH HHS K08 HD060739NIDDK NIH HHS R21 DK085363
6 · The paper itself

Abstract

backgroundThe severity of the metabolic syndrome (MetS) is related to future incidence of type 2 diabetes (T2DM) and cardiovascular disease (CVD). However, the relationship between MetS severity and levels of fasting insulin and adiponectin-markers of insulin resistance-is unclear.

methodsWe used linear and logistic regression to analyze data from 711 participants of the Princeton Lipid Research Cohort with information regarding levels of insulin, adiponectin and MetS severity during 1998-2003 (mean age 39.5 years); 595 participants had MetS severity data from childhood (1973-1976, mean age 12.9 years) and 417 had updated disease status from 2010 to 2014 (mean age 50.9 years).

resultsChildhood MetS Z-scores were positively associated with adult insulin levels (P<0.001) and negatively associated with adiponectin levels (P=0.01). In individual analyses, higher insulin levels and MetS Z-score as adults were related to higher odds of incident diabetes and CVD over the next 11.2 years (all P<0.001), whereas lower adiponectin levels were only related to odds of future T2DM (P<0.0001). In a model including insulin, adiponectin and MetS Z-score, adiponectin was not linked to future disease; both insulin (P=0.027) and MetS Z-score (P=0.002) were related to risk of future T2DM, while only MetS Z-score was related to future CVD (P<0.001).

conclusionsThe severity of MetS exhibits long-term links to levels of insulin and adiponectin, suggesting potential genetic and environmental influences on insulin resistance over time. As a long-term predictor of T2DM and CVD, the severity of MetS exhibited consistent independent correlations. This supports clinical utility in evaluating MetS severity as a predictor of risk for future disease.

Indexed as

AdiponectinAdultBiomarkersBody Mass IndexCardiovascular DiseasesChildDiabetes Mellitus, Type 2Disease ProgressionFemaleFollow-Up StudiesHumansInsulinInsulin ResistanceLipidsMaleMetabolic SyndromeAdiponectinADIPOQ protein, humanBiomarkersInsulinLipids

Identifiers

PMID27133621
PMCPMC5310821
OpenAlexW2346850590

What OpenQuestion holds

Textmetadata
LicenceTDM
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.