Evidence map›Paper›PMID 35736618›Full record

ArticleNeurology international2022

RETRACTED: Effect Comparison of E-Cigarette and Traditional Smoking and Association with Stroke-A Cross-Sectional Study of NHANES.

Urvish Patel, Neel Patel, Mahika Khurana, Akshada Parulekar, Amrapali Patel, Juan Fernando Ortiz, Rutul Patel, Eseosa Urhoghide, Anuja Mistry, Arpita Bhriguvanshi and 4 more

RetractedOpen access · goldAbstract readRetracted Publication
In one paragraph

Article in Neurology international, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 21 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 3 pooled it
4.9field-weighted citation impact, top 4% 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

21 citing papers in PubMed, 3 syntheses or guidelines pooled it, 33 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

14 authors at 11 institutions in 2 countries.

Urvish PatelDepartment of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-6702-298X
Neel PatelDepartment of Public Health, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.ORCID 0000-0002-6857-4460
Mahika KhuranaDepartment of Public Health, University of California, Berkeley, CA 92093, USA.ORCID 0000-0002-9320-8876
Akshada ParulekarDepartment of Biology, York University, Toronto, ON M3J 1P3, Canada.
Amrapali PatelDepartment of Public Health, Milken Institute School of Public Health, George Washington University, Washington, DC 20052, USA.ORCID 0000-0002-1102-5313
Juan Fernando OrtizDepartment of Neurology, Larkin Community Hospital, Miami, FL 33143, USA.ORCID 0000-0001-7512-6140
Rutul PatelDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Transmountain Campus, El Paso, TX 79430, USA.
Eseosa UrhoghideDepartment of Internal Medicine, Hudson Regional Hosp, Secaucus, NJ 07094, USA.
Anuja MistryDepartment of Internal Medicine, Texas Tech University Health Sciences Center, Transmountain Campus, El Paso, TX 79430, USA.
Arpita BhriguvanshiDepartment of Child Neurology, Jersey Shore University Medical Center, Neptune City, NJ 07753, USA.
Mohammed AbdulqaderDepartment of Internal Medicine, Geisinger Med Center, Danville, PA 17822, USA.
Neev MehtaDepartment of Epidemiology and Biostatistics, Boston University School of Public Health, Boston, MA 02118, USA.
Kogulavadanan ArumaithuraiDepartment of Neurology, Mayo Clinic, Albert Lea, MN 56007, USA.
Shamik ShahDepartment of Neurology, Stormont Vail Health, Topeka, KS 66604, USA.ORCID 0000-0002-9562-227X
Icahn School of Medicine at Mount Sinai · USTexas Tech University · USBerkeley Public Health Division · USBoston University · USGeisinger Medical Center · USJersey Shore University Medical Center · USLarkin Community Hospital · USMayo Clinic in Arizona · USMilken Institute · USStormont Vail Health · USYork University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Tobacco use is one of the most significant risk factors for stroke. Besides traditional cigarettes and combustible products, the use of e-cigarettes and electronic nicotine delivery products has been widespread among young adults in the recent era. Furthermore, the trend of vaping has increased over the last decade. However, the relationship between e-cigarettes and stroke is largely unknown. The aim of this study was to evaluate the prevalence and identify the relationship between e-cigarette smoking and stroke. Methods: A cross-sectional study was performed using the NHANES database of the US population. Adults with a history of smoking were considered in our study and divided into three groups, e-cigarette users, traditional, and dual smokers. The Chi-squared test, Wilcoxon rank-sum test, and multivariable logistic regression analysis were used to identify the prevalence and association of e-cigarette consumption and stroke. Results: Out of a total of 266,058 respondents from 2015 to 2018, we found 79,825 respondents who smoked e-cigarettes (9.72%) or traditional (29.37%) or dual smoking (60.91%). Stroke prevalence among e-cigarette smokers was 1.57%. Stroke was more prevalent among traditional smokers than among e-cigarette smokers. (6.75% vs. 1.09%; p < 0.0001) E-cigarette smokers had early onset of stroke in comparison with traditional smokers. (median age: 48 vs. 59 years; p < 0.0001). Among females with stroke, the prevalence of e-cigarette use was higher in comparison with traditional smoking (36.36% vs. 33.91%; p < 0.0001). Among the stroke population, the prevalence of e-cigarette use was higher among Mexican-Americans (21.21% vs. 6.02%) and other Hispanics (24.24% vs. 7.70%) compared with traditional smoking (p < 0.0001). The regression analysis found higher odds of stroke history among e-cigarette users than traditional smokers [aOR: 1.15; 95% CI: 1.15−1.16)]. Conclusion: Though stroke was more prevalent in traditional smokers, the incidence of stroke was early-in-onset and was strongly associated with e-cigarette use compared to traditional smokers. We have also identified vascular effects of e-cigarettes components as possible triggers for the stroke.

Indexed as

cerebrovascular disorderse-cigarettee-cigsENDSischemic strokeNHANESsmokingstroke risk factorsvaping

Identifiers

PMID35736618
PMCPMC9227824
OpenAlexW4281867326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.