Evidence map›Paper›PMID 41847122›Full record

ArticleJournal of precision medicine (Amsterdam, Netherlands)2025

The impact of the Social Exposome in Cardiovascular Health and Disease.

Khaoula El Mekkaoui, Chitra Mukherjee, Clodomir Santana, Hitalo Silva, Arnib Quazi, Meghana Balabhadruni, Aditya Ballal, Shamika Gavaskar, Kea Turqueza, Leslie Molina and 15 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of precision medicine (Amsterdam, Netherlands), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

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

25 authors.

Khaoula El MekkaouiDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Chitra MukherjeeDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Clodomir SantanaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Hitalo SilvaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Arnib QuaziDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Meghana BalabhadruniDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Aditya BallalDepartment of Pharmacology, School of Medicine, University of California, Davis, USA.
Shamika GavaskarDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Kea TurquezaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Leslie MolinaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Pablo AcevedoDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Kay MouaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Omar DawarDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Federico GarciaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Mohammad S SoroyaDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
XiaoDong ZhangDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Ezra AmsterdamDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Chao-Yin ChenDepartment of Pharmacology, School of Medicine, University of California, Davis, USA.
Padmini SirishDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Leighton IzuDepartment of Pharmacology, School of Medicine, University of California, Davis, USA.
Ronaldo MenezesDepartment of Computer Science, University of Exeter, Exeter, UK.
Nipavan ChiamvimonvatDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
Vladimir FilkovDepartment of Computer Science, University of California, Davis, USA.
Martin CadeirasDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.
David A LiemDepartment of Medicine, Division of Cardiovascular Disease, University of California, Davis, USA.

Funding

Training Program In Basic & Translational Cardiovascular ScienceT32HL086350 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Martin Cadeiras, David A. Liem · 2008 to 2026
$7.1M
A prospective multiethnic HFpEF cohort from Californias Central ValleyU01HL160274 · NHLBI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Martin Cadeiras, Nipavan Chiamvimonvat · 2021 to 2026
$2.3M
NHLBI NIH HHS T32 HL086350NHLBI NIH HHS U01 HL160274
6 · The paper itself

Abstract

Cardiovascular disease (CVD) remains a leading cause of mortality and morbidity worldwide, influenced by complex interactions between biological, environmental, and social factors. Studies employing traditional genetic approaches are often insufficient to capture the broader context of these heterogeneous factors. We highlight an integrative framework that combines electronic health records (EHRs) with public (census) data on socio-environmental exposures, leveraging the Observational Medical Outcomes Partnership (OMOP) Common Data Model and individual's geolocations linked through ZIP Code Tabulation Area (ZCTA) codes. By incorporating the exposome, including social determinants of health (SDoH), this framework enhances privacy-preserving analysis and improves personalized CVD risk stratification. Furthermore, Precision Medicine aims to identify tailored prevention and therapeutic strategies by considering an individual's unique genetic, environmental, and lifestyle factors in which the exposome plays a pivotal role. Accordingly, in this review we will discuss a holistic precision medicine approach centered around the exposome to address health disparities, to better identify communities at high-risk for CVD, and to advance tailored prevention and intervention strategies.

Indexed as

ExposomeHeart DiseaseMultimodal DataSocial Determinants of Health

Identifiers

PMID41847122
PMCPMC12990328

What Socratic holds

Textmetadata
LicenceTDM
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 Socratic graph.