Evidence mapPaperPMID 41727893Full record

ArticleJournal of diabetes and metabolic disorders2026

The simplified method for quantifying metabolic syndrome (siMS) score reflects an increased cardiometabolic burden: adiposity, hemodynamics, and HRV findings in young adults.

Christopher J Kotarsky, Jillian M Lang, Elena S Shostak, William Quinn, Valerie Chervinskaya, Elisa Fioraso, Everett Smith, Justin A DeBlauw, Jennifer Lloyd, Stephen J Ives

Abstract read
In one paragraph

Article in Journal of diabetes and metabolic disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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

1 citing paper in PubMed.

  1. Review
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.

Christopher J KotarskyDepartment of Rehabilitation, Exercise and Nutrition Sciences, University of Cincinnati, 3225 Eden Avenue, Cincinnati, OH 45267 USA.ORCID 0000-0002-8925-997X
Jillian M LangDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.
Elena S ShostakDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.
William QuinnDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.
Valerie ChervinskayaDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.
Elisa FiorasoDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.
Everett SmithOxford College of Emory University, Oxford, GA USA.
Justin A DeBlauwDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.ORCID 0000-0001-8160-9245
Jennifer LloydOptum Home Infusion Services, Eden Prairie, MN USA.
Stephen J IvesDepartment of Health and Human Physiological Sciences, Skidmore College, Saratoga Springs, NY USA.ORCID 0000-0002-7722-8818

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: Metabolic Syndrome (MetS) increases cardiovascular disease risk, yet early identification of pre-MetS remains challenging. The Simple Method for Quantifying MetS (siMS) score offers potential for detecting cardiometabolic burden in younger and middle-aged, relatively healthy populations. Methods: We stratified 51 healthy adults (aged 18-60 years) into Low siMS (LMS, siMS < 2.085, Results: The HMS group exhibited significantly higher body mass, body mass index (BMI), waist and hip circumferences, fat mass, visceral fat, central and peripheral BP, MAP, and augmentation index adjusted to 75 bpm (all Conclusion: These findings suggest that higher siMS scores reflect early cardiometabolic risk through adverse hemodynamic and autonomic profiles, even in the absence of overt MetS, metabolic abnormalities, or detectable microvascular dysfunction. The siMS score may serve as a proactive tool for identifying at-risk individuals, supporting targeted interventions to mitigate long-term cardiometabolic risk.

Indexed as

Autonomic functionHeart rate variabilityMetabolic syndromeMicrovascular reactivityPre-diabetes

Identifiers

PMID41727893
PMCPMC12920865

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.