Evidence map›Paper›PMID 37821646›Full record

ReviewNature reviews. Cardiology2024

Socioeconomic inequalities in cardiovascular disease: a causal perspective.

David Bann, Liam Wright, Alun Hughes, Nish Chaturvedi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cardiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
12.9field-weighted citation impact, top 1% 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

16 citing papers in PubMed, 37 citations in OpenAlex.

  1. Hypertension Education, Provider, and Cardio-Cerebrovascular Symptom Awareness: 2024 Korea Community Health Survey.High blood pressure & cardiovascular prevention : the official journal of the Italian Society of Hypertension · 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

4 authors at 3 institutions in 1 country.

David BannCentre for Longitudinal Studies, Social Research Institute, IOE, UCL's Faculty of Education and Society, University College London, London, UK. david.bann@ucl.ac.uk.ORCID 0000-0002-6454-626X
Liam WrightCentre for Longitudinal Studies, Social Research Institute, IOE, UCL's Faculty of Education and Society, University College London, London, UK.
Alun HughesMRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health Science, University College London, London, UK.ORCID 0000-0001-5432-5271
Nish ChaturvediMRC Unit for Lifelong Health & Ageing at UCL, Department of Population Science and Experimental Medicine, Institute of Cardiovascular Science, Faculty of Population Health Science, University College London, London, UK.
MRC Unit for Lifelong Health and Ageing · GBUK Dementia Research Institute · GBUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Socioeconomic inequalities in cardiovascular disease (CVD) persist in high-income countries despite marked overall declines in CVD-related morbidity and mortality. After decades of research, the field has struggled to unequivocally answer a crucial question: is the association between low socioeconomic position (SEP) and the development of CVD causal? We review relevant evidence from various study designs and disciplinary perspectives. Traditional observational, family-based and Mendelian randomization studies support the widely accepted view that low SEP causally influences CVD. However, results from quasi-experimental and experimental studies are both limited and equivocal. While more experimental and quasi-experimental studies are needed to aid causal understanding and inform policy, high-quality descriptive studies are also required to document inequalities, investigate their contextual dependence and consider SEP throughout the lifespan; no simple hierarchy of evidence exists for an exposure as complex as SEP. The COVID-19 pandemic illustrates the context-dependent nature of CVD inequalities, with the generation of potentially new causal pathways linking SEP and CVD. The linked goals of understanding the causal nature of SEP and CVD associations, their contextual dependence, and their remediation by policy interventions necessitate a detailed understanding of society, its change over time and the phenotypes of CVD. Interdisciplinary research is therefore key to advancing both causal understanding and policy translation.

Indexed as

Cardiovascular DiseasesHumansIncomePandemicsRisk FactorsSocioeconomic Factors

Identifiers

PMID37821646
OpenAlexW4387531140

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.