Evidence map›Paper›PMID 39493185›Full record

ArticleCureus2024

Emergency Room Burden of Cardiac Complications in California.

Lydia Wilson, Sasha Singh, Daryoush Javidi

Abstract read
In one paragraph

Article in Cureus, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Lydia WilsonMedicine, California University of Science and Medicine, Colton, USA.
Sasha SinghMedicine, California University of Science and Medicine, Colton, USA.
Daryoush JavidiMedical Education, California University of Science and Medicine, Colton, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction San Bernardino County has higher age-adjusted death rates due to cardiovascular disease (CVD) and a higher ratio of patients to primary care physicians when compared to the rest of California. With these trends, it is important to consider the impact on emergency departments (EDs). This study examines the burden of cardiac complications on EDs in San Bernardino County and across California. Additionally, it examines the difference in cardiac-related ED burden between hospitals inside and outside of primary care shortage areas (PCSAs). Methods Data were obtained from the California Health and Human Services Open Data Portal. Baseline comparisons used the calculated averages and percentage of ED visits that were cardiac-related. Further analysis was done using independent samples t-tests on IBM SPSS Statistics 28.0.1.0 (IBM Corp., Armonk, NY), checking for statistically significant differences in ED burden between PCSA and non-PCSA hospitals and between different geographical regions of California. Results Independent samples t-tests showed that rates of cardiac-related ED visits do not differ by PCSA designation in San Bernardino (p > 0.05), but they are significantly higher in PCSA hospitals when looking at Southern California and California (p < 0.05). Additionally, rates of cardiac-related ED visits seen in San Bernardino were significantly higher than in the rest of Southern California and California (p < 0.001). Conclusion Higher rates of cardiac-related ED visits in PCSAs of Southern California and California indicate a need to address issues of primary care access and enhance preventive measures for CVD. Furthermore, the increased ED burden of cardiac cases in San Bernardino County highlights the requirement for localized intervention.

Indexed as

burden of cardiovascular diseasescardiovascular diseaseemergency servicelack of access to primary caresouthern california

Identifiers

PMID39493185
PMCPMC11531924

What OpenQuestion holds

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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.