ReviewResuscitation plus2020
Socioeconomic status and in-hospital cardiac arrest: A systematic review.
Review in Resuscitation plus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed.
- Racial Disparities in Inpatient Cardiac Arrest Outcomes.Journal of racial and ethnic health disparities · 2026Article
- Equal cardiac arrest care - a qualitative study of healthcare professionals' experiences.BMC medical ethics · 2026Article
- The incidence, predictors, and causes of cardiac arrest in United States emergency departments.Resuscitation plus · 2024Article
- Trends in In-Hospital Cardiopulmonary Resuscitation from 2010 through 2019: A Nationwide Cohort Study in South Korea.Journal of personalized medicine · 2022Article
- In-Hospital Cardiac Arrest in United States Emergency Departments, 2010-2018.Frontiers in cardiovascular medicine · 2022Article
- Discriminatory cardiac arrest care? Patients with low socioeconomic status receive delayed cardiopulmonary resuscitation and are less likely to survive an in-hospital cardiac arrest.European heart journal · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
aimTo perform a review of the literature on the association between socioeconomic status and risk of and outcomes after in-hospital cardiac arrest. DATA SOURCES: PubMed and Embase were searched on January 24, 2020 for studies evaluating the association between socioeconomic status and risk of and/or outcomes after in-hospital cardiac arrest. Two reviewers independently screened the titles/abstracts and selected full texts for relevance. Data were extracted from included studies. Risk of bias was assessed using the Quality In Prognosis Studies (QUIPS) tool.
resultsThe literature search yielded 4960 unique records. We included nine studies evaluating the association between socioeconomic status and risk of and/or outcomes after in-hospital cardiac arrest. All studies were observational cohort studies, of which seven were from the USA. Seven studies were in an adult population, while two studies were in a pediatric population. Results were overall inconsistent although some studies found a higher in-hospital cardiac arrest incidence in patients from low-income communities. There was no clear association between other socioeconomic factors (i.e. education, occupation, marital status, and insurance) and risk of or outcomes after in-hospital cardiac arrest. Due to the scarcity and heterogeneity of available studies, meta-analyses were not performed.
conclusionThere are limited data regarding the association between socioeconomic status and risk of and outcomes after in-hospital cardiac arrest and further research is warranted. Understanding the association between socioeconomic status and in-hospital cardiac arrest may reveal strategies to mitigate potential inequalities.
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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.