Evidence map›Paper›PMID 41156076›Full record

ArticleJournal of clinical medicine2025

Integrating Emotional Stress and Lipid Lowering in Cardiovascular Disease Management: The Future of Precision Cardiovascular Prevention.

Emmanuel Eroume A Egom, Bernadette Sandrine Lema

Abstract read
In one paragraph

Article in Journal of clinical medicine, 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

2 authors.

Emmanuel Eroume A EgomHeart and Vascular Institute, Department of Medicine, Hartford HealthCare, Hartford, CT 06106, USA.ORCID 0000-0001-7142-5477
Bernadette Sandrine LemaHarmony Care, Heaven Foundation CIEL, Hartford, CT 06105, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Residual cardiovascular risk remains substantial despite widespread adoption of intensive lipid-lowering strategies-statins, PCSK9 inhibitors, and RNA-based agents-that achieve very low LDL-C and apoB levels. Over the past three years, converging epidemiologic and mechanistic evidence has highlighted emotional stress-including anger, grief, anxiety, and chronic psychosocial strain-as a biologically active determinant of atherosclerotic disease and a frequent trigger of acute events. We propose the Emotion-Lipid Synergy Model, in which lipid burden establishes the atherothrombotic substrate while emotion-driven autonomic and vascular perturbations amplify endothelial dysfunction, microvascular constriction, inflammation, and thrombogenicity-thereby widening the residual-risk gap even when lipid targets are met. From this perspective, prevention should evolve toward precision psychocardiology: systematically screening for distress and stress reactivity; leveraging wearables to detect high-risk emotional states; and delivering timely, scalable, just-in-time behavioral interventions alongside guideline-directed lipid management. Particular attention is warranted for women and patients with angina and no obstructive coronary disease, who appear disproportionately susceptible to mental-stress ischemia. We outline a research agenda-flagship outcomes trials, mechanistic studies, and multimodal phenotyping-and discuss implementation pathways that integrate emotion metrics into cardiac rehabilitation and routine care. Integrating emotion assessment and modulation with lipid control offers a pragmatic route to reduce residual risk and advance equitable, personalized cardiovascular prevention.

Indexed as

cardiovascular diseasedigital healthemotional stressendothelial dysfunctionlipid-lowering therapyprecision preventionpsychosocial factorsresidual risk

Identifiers

PMID41156076
PMCPMC12565168

What OpenQuestion 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 OpenQuestion graph.