Evidence map›Paper›PMID 34444050›Full record

ArticleInternational journal of environmental research and public health2021

Vaping-Related Adverse Events and Perceived Health Improvements: A Cross-Sectional Survey among Daily E-Cigarette Users.

Melinda Pénzes, Márta Bakacs, Zoltán Brys, József Vitrai, Gergely Tóth, Zombor Berezvai, Róbert Urbán

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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 at 6 institutions in 1 country.

Melinda PénzesDepartment of Public Health, Faculty of Medicine, Semmelweis University, H-1085 Budapest, Hungary.ORCID 0000-0001-7396-4028
Márta BakacsNational Institute of Pharmacy and Nutrition, H-1051 Budapest, Hungary.ORCID 0000-0002-4313-9999
Zoltán BrysDepartment of Telecommunications and Media Informatics, Faculty of Electrical Engineering and Informatics, Budapest University of Technology and Economics, H-1117 Budapest, Hungary.
József VitraiPharmaproject-Statisztika Ltd., H-2081 Piliscsaba, Hungary.ORCID 0000-0001-9267-806X
Gergely TóthInstitute of Sociology, Centre for Social Sciences, Hungarian Academy of Sciences Centre of Excellence, Eötvös Loránd Research Network, H-1097 Budapest, Hungary.
Zombor BerezvaiInstitute of Marketing, Corvinus University of Budapest, H-1093 Budapest, Hungary.ORCID 0000-0001-7807-2977
Róbert UrbánInstitute of Psychology, Eötvös Loránd University, H-1064 Budapest, Hungary.
Budapest University of Technology and Economics · HUCorvinus University of Budapest · HUEötvös Loránd University · HUKároli Gáspár University of the Reformed Church in Hungary · HUNational Institute for Food and Nutrition Science · HUSemmelweis University · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Web-based samples of e-cigarette users commonly report significant vaping-related health improvements (HIs) and mild adverse events (AEs). This cross-sectional study with in-person interviewing data collection examined self-reported AEs and perceived HIs among Hungarian adult current daily exclusive e-cigarette (

Indexed as

Electronic Nicotine Delivery SystemsTobacco ProductsVapingAdultAgedCross-Sectional StudiesHealth StatusHumansadverse evente-cigarettehealth benefithealth effectperceived healthvaping

Identifiers

PMID34444050
PMCPMC8394644
OpenAlexW3190916037

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.