Evidence map›Paper›PMID 30369320›Full record

ArticleJournal of the American Heart Association2018

Assessing Baseline and Temporal Changes in Cardiometabolic Risk Using Metabolic Syndrome Severity and Common Risk Scores.

Matthew J Gurka, Stephanie L Filipp, Thomas A Pearson, Mark D DeBoer

Open access · goldAbstract read
In one paragraph

Article in Journal of the American Heart Association, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed, 34 citations in OpenAlex.

  1. Impact of Setmelanotide on Metabolic Syndrome Risk in Patients With Bardet-Biedl Syndrome.The Journal of clinical endocrinology and metabolism · 2025
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  19. Comparison of Leisure Time Physical Activities by Metabolic Syndrome Status among Adolescents.International journal of environmental research and public health · 2022
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  20. Contribution of Components of Metabolic Syndrome to Cognitive Performance in Middle-Aged Adults.Archives of clinical neuropsychology : the official journal of the National Academy of Neuropsychologists · 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 3 institutions in 1 country.

Matthew J Gurka1 Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville FL.
Stephanie L Filipp1 Department of Health Outcomes and Biomedical Informatics College of Medicine University of Florida Gainesville FL.
Thomas A Pearson2 Department of Epidemiology College of Public Health and Health Professions University of Florida Gainesville FL.
Mark D DeBoer3 Division of Pediatric Endocrinology Department of Pediatrics University of Virginia Charlottesville VA.
University of Florida · USUniversity of Florida Health Science Center · USUniversity of Virginia · US

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI JUDITH FEINBERG · 2012 to 2026
$81.0M
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
NHLBI NIH HHS HHSN268201100012CNHLBI NIH HHS R01 HL120960NIGMS NIH HHS U54 GM104942
6 · The paper itself

Abstract

Background Type 2 diabetes mellitus (T2 DM ) is considered a cardiovascular disease ( CVD ) risk equivalent, thereby linking assessment of cardiometabolic risk with that of CVD risk over time. Our goal was to determine how commonly used CVD risk scores and metabolic syndrome (MetS) severity performed in predicting T2 DM with and without ultimate CVD . Methods and Results We assessed data from 8273 participants of the ARIC (Atherosclerosis Risk in Communities) Study, using the pooled cohort atherosclerotic CVD risk score, the Framingham Risk Score, and a MetS severity Z score to assess their association with future risk for CVD alone, T2 DM alone, or both over 20 years of follow-up. Baseline levels of all scores were significantly associated with isolated incident T2 DM (odds ratios [ OR s] for each 1- SD increase: atherosclerotic CVD =1.7, Framingham risk score=1.7, MetS Z score=5.1). All 3 baseline scores were also significantly associated with isolated incident CVD (atherosclerotic CVD OR =2.4, Framingham risk score OR =2.3, MetS Z-score OR =1.8), with the 2 CVD scores remaining significant independent of MetS severity. MetS severity was strongly associated with future T2 DM leading to CVD (MetS Z-score OR =7.0, atherosclerotic CVD OR =3.9, Framingham risk score OR =3.5). Furthermore, changes in MetS severity were independently associated with future T2 DM - CVD progression. Conclusions CVD risk scores are associated with risk for future isolated T2 DM in addition to isolated CVD . However, MetS severity (both baseline and changes over time) was more strongly associated with T2 DM , including T2 DM ultimately leading to CVD . Following MetS severity within patients over time may identify those at greatest risk of combined cardiometabolic disease.

Indexed as

Blood GlucoseBlood PressureCardiovascular DiseasesCholesterol, HDLCholesterol, LDLCohort StudiesDiabetes Mellitus, Type 2FemaleHumansMaleMetabolic SyndromeMiddle AgedOdds RatioRisk AssessmentSeverity of Illness IndexTriglyceridesBlood GlucoseCholesterol, HDLCholesterol, LDLTriglyceridescardiovascular diseasemetabolic syndromepredictiontype 2 diabetes mellitus

Identifiers

PMID30369320
PMCPMC6201393
OpenAlexW2891168675

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.