Evidence map›Paper›PMID 33359929›Full record

ArticleHeart & lung : the journal of critical care

National rates and trends of tobacco and substance use disorders among atrial fibrillation hospitalizations.

Rajkumar Doshi, Mihir Dave, Monil Majmundar, Ashish Kumar, Devina Adalja, Mariam Shariff, Rupak Desai, Boback Ziaeian, Saraschandra Vallabhajosyula

Open access · greenAbstract read
In one paragraph

Article in Heart & lung : the journal of critical care. 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
0.4field-weighted citation impact, top 31% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Review
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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

9 authors at 7 institutions in 2 countries.

Rajkumar DoshiDepartment of Internal Medicine, University of Nevada Reno School of Medicine, , 1155 Mill St, W-11, Reno, NV 89502, USA. Electronic address: rdoshi@med.unr.edu.
Mihir DaveDepartment of Internal Medicine, University of Nevada Reno School of Medicine, , 1155 Mill St, W-11, Reno, NV 89502, USA.
Monil MajmundarDepartment of Internal Medicine, Metropolitan Medical Center, New York, NY, USA.
Ashish KumarDepartment of Critical Care Medicine, St John's Medical College Hospital, Bengaluru, Karnataka, India.
Devina AdaljaDepartment of Medicine, GMERS Gotri Medical College, Vadodara, Gujarat, India.
Mariam ShariffDepartment of Critical Care Medicine, St John's Medical College Hospital, Bengaluru, Karnataka, India.
Rupak DesaiDepartment of Cardiology, Atlanta VA Medical Center, Decatur, GA, United States.
Boback ZiaeianDivision of Cardiology, David Geffen School of Medicine at University of California, Los Angeles, CA, USA; Division of Cardiology, Veterans Affairs Greater Los Angeles Healthcare System, Los Angeles, CA, USA.
Saraschandra VallabhajosyulaDepartment of Cardiovascular Medicine, Mayo Clinic, Rochester, MN, USA; Division of Pulmonary and Critical Care Medicine, Department of Medicine, Mayo Clinic, Rochester, MN, USA; Center for Clinical and Translational Science, Mayo Clinic Graduate School of Biomedical Sciences, MN, USA.
St.John's Medical College Hospital · INUniversity of Nevada, Reno · USAtlanta VA Medical Center · USMayo Clinic in Florida · USMetropolitan Hospital Center · USSir Sayajirao General Hospital Medical College · INVA Greater Los Angeles Healthcare System · US

Funding

Mayo Clinic Center for Translational Science ActivitiesUL1TR000135 · NCATS · MAYO CLINIC ROCHESTER · PI KHOSLA, SUNDEEP · 2012 to 2015
$41.2M
The Effect of Nanoparticle Encapsulated Resveratrol on Treatment of PeriodontitisKL2TR001882 · NCATS · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI Elizabeta Nemeth · 2016 to 2026
$13.1M
American Heart Association-American Stroke Association 17SDG33630113NCATS NIH HHS KL2 TR001882NCATS NIH HHS UL1 TR000135
6 · The paper itself

Abstract

backgroundAtrial Fibrillation (AF) has been associated with various behavioral risk factors such as tobacco, alcohol, and/or substances abuse.

objectiveThe main objective is to describe the national trends and burden of tobacco and substance abuse in AF hospitalizations. Also, this study identifies potential population who are more vulnerable to these substance abuse among AF hospitalizations.

methodsThe National Inpatient Sample database from 2007 to 2015 was utilized and the hospitalizations with AF were identified using the international classification of disease, Ninth Revision, Clinical Modification code. They were stratified into without abuse, tobacco use disorder (TUD), substance use disorder (SUD), alcohol use disorder (AUD) and drug use disorder (DUD).

resultsOf 3,631,507 AF hospitalizations, 852,110 (23.46%) had TUD, 1,851,170 (5.1%) had SUD, 155,681 (4.29%) had AUD and 42,667 (1.17%) had DUD. The prevalence of TUD, SUD, AUD, and DUD was substantially increased across all age groups, races, and gender during the study period. Female sex was associated with lower odds TUD, SUD, AUD, and DUD. Among AF hospitalizations, the black race was associated with higher odds of SUD, and DUD. The younger age group (18-35 years), male, Medicare/Medicaid as primary insurance, and lower socioeconomic status were associated with increased risk of both TUD and SUDs.

conclusionTUD and SUD among AF hospitalizations in the United States mainly affects males, younger individuals, white more than black, and those of lower socioeconomic status which demands for the development of preventive strategies to address multilevel influences.

Indexed as

Atrial FibrillationSubstance-Related DisordersAdolescentAdultAgedFemaleHospitalizationHumansMaleMedicareTobacco ProductsUnited StatesYoung AdultAtrial fibrillationDrug abuseSubstance abuseTobacco abuseTrends

Identifiers

PMID33359929
PMCPMC8310779
OpenAlexW3113539007

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.