Evidence map›Paper›PMID 40421052›Full record

ArticleAmerican journal of preventive cardiology2025

Employment status as a predictor of adverse outcomes in patients with coronary artery disease.

Travis M Wilson, Adithya K Yadalam, Shaimaa Sakr, Matthew E Gold, Vardhmaan Jain, Alexander C Razavi, Nishant Vatsa, Daniel A Gold, Yi-An Ko, Yunyun Chen and 8 more

Abstract read
In one paragraph

Article in American journal of preventive cardiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Observational
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

18 authors.

Travis M WilsonEmory University School of Medicine, Atlanta, GA, USA.
Adithya K YadalamEmory University School of Medicine, Atlanta, GA, USA.
Shaimaa SakrEmory University School of Medicine, Atlanta, GA, USA.
Matthew E GoldEmory University School of Medicine, Atlanta, GA, USA.
Vardhmaan JainEmory University School of Medicine, Atlanta, GA, USA.
Alexander C RazaviEmory University School of Medicine, Atlanta, GA, USA.
Nishant VatsaEmory University School of Medicine, Atlanta, GA, USA.
Daniel A GoldEmory University School of Medicine, Atlanta, GA, USA.
Yi-An KoEmory University Rollins School of Public Health, Atlanta, GA, USA.
Yunyun ChenEmory University Rollins School of Public Health, Atlanta, GA, USA.
Chang LiuEmory University Rollins School of Public Health, Atlanta, GA, USA.
Nisreen HarounEmory University School of Medicine, Atlanta, GA, USA.
Muhammad OwaisEmory University School of Medicine, Atlanta, GA, USA.
Ishan NadkarniEmory University School of Medicine, Atlanta, GA, USA.
Ozair KhawajaEmory University School of Medicine, Atlanta, GA, USA.
Hassan AllaqabandEmory University School of Medicine, Atlanta, GA, USA.
Laurence S SperlingEmory University School of Medicine, Atlanta, GA, USA.
ArshedA QuyyumiEmory University School of Medicine, Atlanta, GA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Lack of employment is associated with a poorer prognosis when compared to employment in the general population. Whether this association is present in patients with coronary artery disease (CAD) and similarly extends to adverse cardiovascular outcomes in those with CAD remains unknown. Herein, we analyzed the association of employment status and adverse outcomes in patients with CAD. Methods: Non-retired participants enrolled in the Emory Cardiovascular Biobank during the years 2003-2023 were divided into employed and non-employed cohorts and analyzed for the primary composite outcome of cardiovascular death or non-fatal myocardial infarction (MI) by competing-risk regression, while accounting for non-cardiovascular death. The secondary outcome of all-cause death was assessed by Cox regression. Sensitivity analyses were performed to explore for heterogeneity of effect. Results: The study sample consisted of 2809 participants with a mean age of 57 years, 35 % women, and 27 % Black. During a median follow-up of 5.1 years, 406 (14 %) cardiovascular death or non-fatal MI events and 537 (19 %) all-cause death events occurred. After adjustment for demographics, educational attainment level (EAL), and traditional cardiovascular risk factors, non-employment was found to be a significant predictor of cardiovascular death or non-fatal MI (sHR 1.78, 95 % CI 1.41-2.19, Conclusions: Non-employment is associated with adverse outcomes in non-retired individuals with CAD, independent of demographics, EAL, and traditional cardiovascular risk factors. Non-employment due to disability was associated with the highest risk of adverse cardiovascular outcomes, highlighting a particularly vulnerable subgroup.

Indexed as

Coronary artery diseaseEmploymentMyocardial infarctionSocial determinants of healthSocioeconomic status

Identifiers

PMID40421052
PMCPMC12104633

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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.