Evidence map›Paper›PMID 28482797›Full record

ArticleBMC cardiovascular disorders2017

Association of cumulative social risk with mortality and adverse cardiovascular disease outcomes.

Sebhat Erqou, Justin B Echouffo-Tcheugui, Kevin E Kip, Aryan Aiyer, Steven E Reis

Abstract read
In one paragraph

Article in BMC cardiovascular disorders, 2017. 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
–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

16 citing papers in PubMed.

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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

5 authors.

Sebhat ErqouDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA. erqousa@upmc.edu.
Justin B Echouffo-TcheuguiDepartment of Medicine, Brigham Women's Hospital, Boston, MA, USA.
Kevin E KipCollege of Nursing, University of South Florida, Tampa, FL, USA.
Aryan AiyerDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
Steven E ReisDepartment of Medicine, University of Pittsburgh, Pittsburgh, PA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundQuantifying the cumulative effect of social risk factors on cardiovascular disease (CVD) risk can help to better understand the sources of disparities in health outcomes. METHOD AND

resultsData from the Heart Strategies Concentrating on Risk Evaluation (HeartSCORE) study were used to create an index of cumulative social risk (CSR) and quantify its association with incident CVD and all-cause mortality. CSR was defined by assigning a score of 1 for the presence of each of 4 social factors: i) racial minority status (Black race), ii) single living status, iii) low income, and iv) low educational level. Hazard ratios (HRs) were computed using Cox-regression models, adjusted for CVD risk factors. Over a median follow-up period of 8.3 years, 127 incident events were observed. The incidence of the primary outcome for subgroups of participants with 0, 1, and ≥2 CSR scores was 5.31 (95% CI, 3.40-7.22), 10.32 (7.16-13.49) and 17.80 (12.94-22.67) per 1000 person-years, respectively. Individuals with CSR score of 1 had an adjusted HR of 1.85 (1.15-2.97) for incident primary outcomes, compared to those with score of 0. The corresponding HR for individuals with CSR score of 2 or more was 2.58 (1.60-4.17).

conclusionAn accumulation of social risk factors independently increased the likelihood of CVD events and deaths in a cohort of White and Black individuals.

Indexed as

Cardiovascular DiseasesHealth Status DisparitiesSocioeconomic FactorsAgedBlack or African AmericanCarotid Intima-Media ThicknessCross-Sectional StudiesDisease-Free SurvivalEducational StatusFemaleHumansIncidenceIncomeKaplan-Meier EstimateLogistic ModelsMaleCardiovascular diseaseCumulative social riskRacial disparitySocial risk factors

Identifiers

PMID28482797
PMCPMC5422978

What OpenQuestion holds

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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.