Evidence map›Paper›PMID 36998058›Full record

ArticleAlzheimer's research & therapy2023

Different effects of cardiometabolic syndrome on brain age in relation to gender and ethnicity.

Sung Hoon Kang, Mengting Liu, Gilsoon Park, Sharon Y Kim, Hyejoo Lee, William Matloff, Lu Zhao, Heejin Yoo, Jun Pyo Kim, Hyemin Jang and 9 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's research & therapy, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

18 citing papers in PubMed, 1 synthesis or guideline pooled it, 19 citations in OpenAlex.

  1. Pooled it
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  3. Metabolic syndrome is associated with accelerated brain aging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2026
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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

19 authors at 7 institutions in 4 countries.

Sung Hoon Kang *Departments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Mengting Liu *School of Biomedical Engineering, Sun Yat-Sen University, Shenzhen, China.
Gilsoon ParkKeck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA.
Sharon Y KimKeck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA.
Hyejoo LeeDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
William MatloffKeck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA.
Lu ZhaoKeck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA.
Heejin YooDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Jun Pyo KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Hyemin JangDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Hee Jin KimDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
Neda JahanshadKeck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA.
Kyumgmi OhDepartment of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Seong-Beom KohDepartment of Neurology, Korea University Guro Hospital, Korea University College of Medicine, Seoul, South Korea.
Duk L NaDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea.
John GallacherDepartment of Psychiatry, University of Oxford, Oxford, UK.
Rebecca F GottesmanNational Institute of Neurological Disorders and Stroke Intramural Research Program, National Institutes of Health, Bethesda, MD, USA.
Sang Won SeoDepartments of Neurology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, South Korea. sw72.seo@samsung.com.
Hosung KimKeck School of Medicine of University of Southern California, USC Steven Neuroimaging and Informatics Institute, Los Angeles, CA, 90033, USA.
University of Southern California · USSungkyunkwan University · KRKorea University Medical Center · KRSamsung Medical Center · KRNational Institute of Neurological Disorders and Stroke · USSun Yat-sen University · CNUniversity of Oxford · GB

Funding

Project 1U19AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE/RES/EDU · PI MICHAEL W WEINER · 2016 to 2026
$226.7M
Transforming Research and Clinical Knowledge in Traumatic Brain InjuryU01NS086090 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI DIAZ-ARRASTIA, RAMON, GIACINO, JOSEPH THOMAS · 2013 to 2017
$19.1M
TR&D3: Intrinsic Surface MappingP41EB015922 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI THOMPSON, PAUL M · 2012 to 2022
$14.1M
White matter injury as predictor of outcome in neonatal brain injuryP50NS035902 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FERRIERO, DONNA M. · 1997 to 2012
$14.0M
TrainingU54EB020406 · NIBIB · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TOGA, ARTHUR W · 2014 to 2018
$12.5M
Stroke, Cognition and Neuroepidemiology SectionZIANS009435 · NINDS · NATIONAL INSTITUTE OF NEUROLOGICAL DISORDERS AND STROKE · PI GOTTESMAN, REBECCA F · 2022 to 2025
$8.2M
Repair in High Risk Newborns with Congential Heart DiseaseP01NS082330 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MCQUILLEN, PATRICK SEAN · 2014 to 2018
$6.0M
MRI, MRSI, AND DTI OF BRAIN INJURY IN PRETERM NEONATESR01NS046432 · NINDS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BARKOVICH, ANTHONY JAMES · 2004 to 2013
$4.3M
Towards Baby Brain Connectome: a Study of Newborn Brain NetworksR01HD072074 · NICHD · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI HESS, CHRISTOPHER PAUL, XU, DUAN · 2013 to 2017
$3.0M
Medical Research Council MR/T033371/1NIA NIH HHS U19 AG024904NIBIB NIH HHS P41 EB015922NIBIB NIH HHS U54 EB020406NICHD NIH HHS R01 HD072074NINDS NIH HHS P01 NS082330NINDS NIH HHS P50 NS035902NINDS NIH HHS R01 NS046432NINDS NIH HHS U01 NS086090
6 · The paper itself

Abstract

backgroundA growing body of evidence shows differences in the prevalence of cardiometabolic syndrome (CMS) and dementia based on gender and ethnicity. However, there is a paucity of information about ethnic- and gender-specific CMS effects on brain age. We investigated the different effects of CMS on brain age by gender in Korean and British cognitively unimpaired (CU) populations. We also determined whether the gender-specific difference in the effects of CMS on brain age changes depending on ethnicity.

methodsThese analyses used de-identified, cross-sectional data on CU populations from Korea and United Kingdom (UK) that underwent brain MRI. After propensity score matching to balance the age and gender between the Korean and UK populations, 5759 Korean individuals (3042 males and 2717 females) and 9903 individuals from the UK (4736 males and 5167 females) were included in this study. Brain age index (BAI), calculated by the difference between the predicted brain age by the algorithm and the chronological age, was considered as main outcome and presence of CMS, including type 2 diabetes mellitus (T2DM), hypertension, obesity, and underweight was considered as a predictor. Gender (males and females) and ethnicity (Korean and UK) were considered as effect modifiers.

resultsThe presence of T2DM and hypertension was associated with a higher BAI regardless of gender and ethnicity (p < 0.001), except for hypertension in Korean males (p = 0.309). Among Koreans, there were interaction effects of gender and the presence of T2DM (p for T2DM*gender = 0.035) and hypertension (p for hypertension*gender = 0.046) on BAI in Koreans, suggesting that T2DM and hypertension are each associated with a higher BAI in females than in males. In contrast, among individuals from the UK, there were no differences in the effects of T2DM (p for T2DM*gender = 0.098) and hypertension (p for hypertension*gender = 0.203) on BAI between males and females.

conclusionsOur results highlight gender and ethnic differences as important factors in mediating the effects of CMS on brain age. Furthermore, these results suggest that ethnic- and gender-specific prevention strategies may be needed to protect against accelerated brain aging.

Indexed as

Diabetes Mellitus, Type 2HypertensionMetabolic SyndromeBrainCross-Sectional StudiesEthnicityFemaleHumansMaleRisk FactorsBrain ageCardiometabolic syndromeEthnicityGender

Identifiers

PMID36998058
PMCPMC10061789
OpenAlexW4361276360

What OpenQuestion holds

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LicenceCC BY
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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 OpenQuestion graph.