Evidence map›Paper›PMID 39708217›Full record

ArticleGeroScience2025

Linking metabolic syndrome, cerebral small vessel disease, and cognitive health: insights from a subclinical population study using TriNetX.

Jigar Gosalia, Jocelyn M Delgado Spicuzza, Christine K Bowlus, James A Pawelczyk, David N Proctor

Abstract read
In one paragraph

Article in GeroScience, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

5 authors.

Jigar GosaliaDepartment of Kinesiology, The Pennsylvania State University, University Park, USA. Jigar.gosalia@cuanschutz.edu.ORCID 0000-0002-1378-230X
Jocelyn M Delgado SpicuzzaIntegrative and Biomedical Physiology, The Pennsylvania State University, University Park, PA, 16801, USA.
Christine K BowlusDepartment of Kinesiology, The Pennsylvania State University, University Park, USA.
James A PawelczykDepartment of Kinesiology, The Pennsylvania State University, University Park, USA.
David N ProctorDepartment of Kinesiology, The Pennsylvania State University, University Park, USA.

Funding

Penn State Clinical and Translational Science InstituteUL1TR002014 · NCATS · PENNSYLVANIA STATE UNIV HERSHEY MED CTR · PI KRASCHNEWSKI, JENNIFER L. · 2016 to 2025
$33.7M
NCATS NIH HHS UL1 TR002014
6 · The paper itself

Abstract

Metabolic syndrome (MetS) has been linked to accelerated cognitive decline and Alzheimer's disease and related dementias (ADRDs) via cerebral small vessel disease (CSVD); however, this relation in MetS without overt cardiometabolic disease comorbidities is unknown and may represent a population amenable to preventative strategies. Our study aimed to determine risk profiles for neurocognitive decline and ADRDs in early-stage MetS with evidence of CSVD using the TriNetX electronic health records (EHR) research network. Patients aged 50 to 80 years old meeting MetS criteria were identified utilizing TriNetX data from 76 healthcare organizations. Propensity score matching controlled for demographic and confounding factors. Cohorts included MetS-only, non-MetS, and a MetS subset with evidence of CSVD (MetS-CSVD) created by clustering relevant ICD-codes for diagnoses, imaging, and lab work. Contingency analyses determined odds of developing neurocognitive decline, ADRDs, and CSVD in MetS vs non-MetS and MetS-CSVD vs. MetS-only, using odd ratios with 95% confidence intervals (p-value < 0.05). After propensity score matching, there were 57,347 men and 52,259 women in each of the MetS and non-MetS cohorts and 2,810 men and 2,862 women in each of the MetS-CSVD and MetS-only cohorts. Compared to non-MetS, the MetS cohort exhibited higher odds of developing neurocognitive decline (men: RR = 1.82, p < 0.001; women: RR = 1.34, p = 0.015) and CSVD (men: RR = 2.83, p < 0.001; women: RR = 2.14, p < 0.001), but only women exhibited significantly higher odds of developing ADRDs (men: RR = 1.13, p = 0.38; women: RR = 1.52, p < 0.001). Compared to MetS-only, the MetS-CSVD showed elevated odds in developing neurocognitive decline (men: RR = 1.81, p = 0.040; women: RR = 1.87, p = 0.018) and ADRDs (men: RR = 2.39, p = 0.009; women: RR = 1.65, p = 0.041). A large, predominantly US, sample of subclinical MetS demonstrated heightened odds for developing neurocognitive decline and ADRDs, with even higher odds when evidence of CSVD was also present. TriNetX facilitated a robust exploration of these associations, and our findings warrant further investigation of interventions that target this subclinical at-risk population.

Indexed as

Cerebral Small Vessel DiseasesCognitive DysfunctionMetabolic SyndromeAgedAged, 80 and overAlzheimer DiseaseElectronic Health RecordsFemaleHumansMaleMiddle AgedPropensity ScoreRisk FactorsADRDsCognitive declineEHRMetabolic syndromeVCID

Identifiers

PMID39708217
PMCPMC12181506

What OpenQuestion holds

Textmetadata
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.