Evidence map›Paper›PMID 32572353›Full record

ArticleCureus2020

Problematic Alcohol Use and Mortality Risk in Arrhythmia: Nationwide Study of 114,958 Hospitalizations.

Khalida Khaliq, Temitope Ajibawo, Renu Bhandari, Rikinkumar S Patel

Open access · diamondAbstract 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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

4 authors at 4 institutions in 3 countries.

Khalida KhaliqPsychiatry/Medicine, North Tampa Behavioral Health, Tampa, USA.
Temitope AjibawoInternal Medicine, Brookdale University Hospital Medical Center, New York City, USA.
Renu BhandariMedicine, Manipal College of Medical Sciences, Kaski, NPL.
Rikinkumar S PatelPsychiatry, Griffin Memorial Hospital, Norman, USA.
Griffin Hospital · USKasturba Medical College, Manipal · INMemorial Hospital · USUniversity of Tampa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives To assess the risk of in-hospital mortality due to alcohol use disorder (AUD) and other cardiovascular risk factors in arrhythmia inpatients. Methods We included 114,958 patients (age, 15-54 years) by conducting a cross-sectional cohort study using the Nationwide Inpatient Sample (NIS, 2010-2014). These patients were primarily managed for arrhythmia and further grouped by comorbid AUD. A logistic regression model was used to measure the odds ratio (OR) of association of AUD and in-hospital mortality after adjusting for demographic confounders and cardiovascular risk factors. Results Mortality risk statistically increases with age as elders (45-54 years) had two times higher risk (95% confidence interval [CI] 1.49-3.09), whereas men had a lower risk (OR 0.8, 95% CI 0.74-0.96) of inpatient death. Comorbid atherosclerosis (OR 4.5, 95% CI 3.38-5.92) and diabetes (OR 1.4, 95% CI 1.18-1.67) increased mortality risk in arrhythmia inpatients. AUD significantly increased the risk of mortality in arrhythmia inpatients (OR 1.7, 95% CI 1.43-2.07). Conclusions AUD is an independent risk factor for mortality in arrhythmia inpatients, and it is elevated by 72% in such patients. Strategies to reduce alcohol consumption and abstinence should be focused to improve the health-related quality of life of at-risk patients.

Indexed as

alcohol dependencealcohol misusealcohol usecardiac risk factors and preventionlife-threatening arrhythmiamortality

Identifiers

PMID32572353
PMCPMC7302717
OpenAlexW3027921153

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.