Evidence map›Paper›PMID 35371698›Full record

ArticleCureus2022

An Analysis of Epidemiological Factors in Heart Failure Outcomes.

Karan Patel, Kamil Taneja, Aleem Mohamed, Sai Batchu, Hailey Hsiung, Connor Mott, Haley Tornberg, Urvish K Patel

Open access · diamondAbstract read
In one paragraph

Article in Cureus, 2022. 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
0.2field-weighted citation impact, top 53% of its field
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, 1 citations in OpenAlex.

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

8 authors at 4 institutions in 2 countries.

Karan PatelMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Kamil TanejaMedical Student, Stony Brook University, Stony Brook, USA.
Aleem MohamedMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Sai BatchuNeurosciences, Independent Researcher, Montville, USA.
Hailey HsiungHealthcare (Social Sciences), Independent, Highland Park, USA.
Connor MottMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Haley TornbergMedical Student, Cooper Medical School of Rowan University, Camden, USA.
Urvish K PatelPublic Health and Neurology, Icahn School of Medicine at Mount Sinai, New York, USA.
Cooper Medical School of Rowan University · USIcahn School of Medicine at Mount Sinai · USNeurosciences Institute · USOldham Council · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Various socioeconomic and demographic factors play a role in determining treatment outcomes across numerous conditions. Different studies have shown that certain demographic factors, such as income status, directly correlate with treatment outcomes. In this study, we analyze the effect of some of these variables, namely, insurance and age, on various endpoints, including length of stay and discharge status, among heart failure patients. Methodology The data used in this project were retrieved from the HealthCare Utilization Project. We sorted the data by insurance, age, length of stay, and discharge status. To compare discharge status between different insurance types and age groups, we used Stata to compute odds ratios and 95% confidence intervals. To compare the length of stay among different age groups and insurance types, we conducted an unpaired two-tailed Student's t-test. Results Across all age groups, we found that younger patients with heart failure are more likely to discharge against medical advice compared to older patients. The average length of stay for heart failure patients was the same across all age groups except those 85 and older. Moreover, patients with a lower socioeconomic status, as determined by insurance type, were more likely to discharge against medical advice and less likely to die within hospitals. Conclusions Our results speak to the socioeconomic inequalities seen in medicine today. Studies have shown that those with a lower socioeconomic status tend to have worse outcomes across various conditions. Our analysis shows this phenomenon holds true for heart failure as well. In addition, our study helps to determine which groups are at higher risk of making medical decisions, such as discharging against medical advice, that will negatively affect their condition. Identifying these high-risk groups is a key first step to counteracting such behavior.

Indexed as

epidemiology and biostatisticshealthcare disparityheart failureinsurance statuslength of hospital stay (los)

Identifiers

PMID35371698
PMCPMC8958989
OpenAlexW4214578576

What OpenQuestion holds

Textmetadata
LicenceCC BY
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Registered trials

None linked

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.