Evidence map›Paper›PMID 33194481›Full record

ArticleCureus2020

An Observation of Racial and Gender Disparities in Congestive Heart Failure Admissions Using the National Inpatient Sample.

Varun Tandon, Bryan Stringer, Chad Conner, Andre Gabriel, Byomesh Tripathi, Kathir Balakumaran, Kai Chen

Abstract read
In one paragraph

Article in Cureus, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Predictive Model for Heart Failure Readmission Using Nationwide Readmissions Database.Mayo Clinic proceedings. Innovations, quality & outcomes · 2022
    Article
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

7 authors.

Varun TandonCardiology, University of Arizona College of Medicine, Phoenix, USA.
Bryan StringerInternal Medicine, University of Connecticut Health, Farmington, USA.
Chad ConnerInternal Medicine, University of Connecticut Health, Farmington, USA.
Andre GabrielCardiology, West Virginia University, Morgantown, USA.
Byomesh TripathiCardiology, University of Arizona College of Medicine, Phoenix, USA.
Kathir BalakumaranCardiology, University Hospitals, Cleveland, USA.
Kai ChenCardiology, University of Connecticut Health, Farmington, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background Congestive heart failure (CHF) is a frequent cause of inpatient admissions in the United States. The purpose of this study was to analyze the racial and gender disparities that occur in CHF admissions and determine the impact of these disparities on medical expenditure. Methods We analyzed the National Inpatient Sample (NIS) database from 2009 to 2014 for patients with a primary discharge diagnosis of CHF, and further stratified the cohort on the basis of race and sex. Multivariate analysis was performed to identify the association between CHF and total charges along with other variables such as mortality, length of stay (LOS), and number of procedures. Results There were a total of 5,491,050 admissions with a primary diagnosis of CHF from 977,850 in 2009 to 901,425 in 2014. Females accounted for 49.7%. Total charges for CHF admission were highest in Asians at an average cost of $59,668. African Americans had the lowest mortality rate at 1.75%, however, they also had an average age of admission of 63.47 years, compared to Caucasian at 76.76 (p<0.05). Total charges for males were $42,920 and $36,744 for females (p <0.05). Males also had more procedures at 1.16 vs 0.98 for females (p <0.05). Elixhauser mortality score was higher in males than females at 5.95 vs 5.42 (p <0.05). Conclusion Healthcare disparities exist in CHF admissions in both contexts of race and gender. Further studies are required to pinpoint the source of these differences not only to address mortality but also expenditure costs.

Indexed as

cardiologycongestive heart failurehealthcare disparities

Identifiers

PMID33194481
PMCPMC7657376

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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.