ReviewBritish medical bulletin2023
Interventions to tackle health inequalities in cardiovascular risks for socioeconomically disadvantaged populations: a rapid review.
Review in British medical bulletin, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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.
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.
Who cites it
4 citing papers in PubMed, 4 citations in OpenAlex.
- Load-velocity profiles in machine-based exercises: comparing trained college students with recreationally active and sedentary middle-aged and older adults.BMC sports science, medicine & rehabilitation · 2026Article
- Cardiovascular Risk Factors in Socioeconomically Disadvantaged Populations in a Suburb of the Largest City in Western Romania.Biomedicines · 2024Article
- Lipid Management in Primary Care for Socioeconomically Disadvantaged Populations in Northern England: A Qualitative Study.Journal of primary care & community healthArticle
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 4 institutions in 1 country.
Funding
Abstract
introductionCardiovascular disease (CVD) has shown significant health inequalities for people with low socioeconomic status associated with more risk factors. This review was to synthesize interventions that targeted CVD risks and outcomes among socioeconomically disadvantaged populations and to understand the impact associated with these interventions. SOURCES OF DATA: Cochrane CENTRAL, MEDLINE, Embase, PsycINFO and CINAHL were searched for records published in the last decade using a systematic search strategy, complemented by screening the reference lists and citation indexes. Nineteen studies were included and a narrative synthesis with the effect direction plot was undertaken in which studies, interventions, participants and outcomes were examined according to the intervention type focusing on behaviours, lifestyle, education, medication and monitoring. AREAS OF AGREEMENT: No universal definition of disadvantaged socioeconomic status was used with common factors relating to racial/ethnic minorities, low income and low or no health insurance. Mixed effects of interventions were reported on clinical outcomes including weight, body mass index, blood pressure, glycated haemoglobin and cholesterol. AREAS OF CONTROVERSY: Inconsistent effect was reported due to a large variety of settings, participants and intervention components although they are considered necessary to address the complex health needs of socioeconomically disadvantaged populations. GROWING POINTS: There is inadequate evidence to determine whether any of the intervention types are effective in optimising lipids management for socioeconomically disadvantaged populations. AREAS TIMELY FOR DEVELOPING RESEARCH: Research is needed with mixed evidence using real world evaluation and lived experience combined with health economic evaluation, on both mental and physical health outcomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.