Evidence map›Paper›PMID 40485993›Full record

ArticleGerontology2025

Electrocardiographic markers in Motoric Cognitive Risk syndrome.

Joe Verghese, Sharika Sreeram, Vijin Joseph, Dristi Adhikari, Alben Sigamani, Helena M Blumen, V G Pradeep Kumar, Emmeline Ayers

Abstract read
In one paragraph

Article in Gerontology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

8 authors.

Joe VergheseDepartments of Neurology, Renaissance School of Medicine, NY, USA.
Sharika SreeramInstitute of Neurosciences, Baby Memorial Hospital, Kozhikode, India.
Vijin JosephDepartment of Cardiology, Lizzie Hospital. Kochi, Kerala, India.
Dristi AdhikariDepartments of Neurology, Albert Einstein College of Medicine, NY, USA.
Alben SigamaniCarmel Research Consultancy Pvt Ltd, Bengaluru, India.
Helena M BlumenDepartments of Neurology, Renaissance School of Medicine, NY, USA.
V G Pradeep KumarDepartments of Neurology, Albert Einstein College of Medicine, NY, USA.
Emmeline AyersDepartments of Neurology, Renaissance School of Medicine, NY, USA.

Funding

The biological underpinnings of Motoric Cognitive Risk syndrome: a multi-center studyR01AG057548 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI VERGHESE, JOE · 2020 to 2024
$8.0M
Kerala-Einstein Study: Healthy lifestyle, vascular disease, and cognitive declineR01AG039330 · NIA · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI MATHURANATH, PAVAGADA S, VERGHESE, JOE · 2011 to 2023
$5.0M
NIA NIH HHS R01 AG039330NIA NIH HHS R01 AG057548
6 · The paper itself

Abstract

Introduction: Presence of cardiovascular disease is linked to the prevalence and incidence of Motoric Cognitive Risk syndrome (MCR), a pre-dementia syndrome characterized by cognitive complaints and slow gait. Electrocardiograms (ECGs) may offer a cost-effective, non-invasive, and reliable method for detecting cardiovascular abnormalities in individuals with MCR. This approach can not only diagnose cardiovascular disease but also facilitate timely interventions to prevent further cognitive decline in MCR cases. Methods: We examined the association of ECG abnormalities with prevalent MCR in 451 older adults with ECGs participating in the Kerala Einstein Study (KES), based in Indian state of Kerala. Logistic regression analysis adjusted for age and sex were used to examine associations, and reported as odds ratios (OR) with 95% confidence intervals (CI). Results: ECG abnormalities were present in 191 (42.4%) participants. Of the 43 participants diagnosed with MCR, 23 (53.5%) had ECG abnormalities. Abnormal Q waves (OR 5.1, 95% CI 1.7-14.9) and heart block (OR 6.0, 95% CI 2.1-17.4) were more common in individuals with MCR compared to controls. There were no statistically significant group differences in the prevalence of other ECG abnormalities. Conclusion: ECG abnormalities are common in MCR patients, and can be considered for cardiovascular disease risk-stratification in MCR cases.

Indexed as

Cardiovascular DiseasesCognition DisordersElectrocardiographyAgedAged, 80 and overFemaleHumansIndiaMaleMiddle AgedPrevalenceRisk FactorsSyndromecardiovascular diseasedementiaElectrocardiographyepidemiologymotoric cognitive risk syndrome

Identifiers

PMID40485993
PMCPMC12140404

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