ArticleJournal of medical Internet research2020
Health Effects Associated With Electronic Cigarette Use: Automated Mining of Online Forums.
Article in Journal of medical Internet research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.
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.
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.
Who cites it
28 citing papers in PubMed.
- Methylglyoxal and Glyoxal in High-Puff Disposable Electronic Cigarette Liquids: Unexpected Accumulation and Enhanced Cytotoxicity.ACS omega · 2026Article
- Comparative effects of alternate tobacco products and traditional tobacco smoking on various organ/systems: A guide to regulators and health policy makers.Toxicology reports · 2025Review
- Unraveling the Toxicological Effects of Hydroxyacetone - A Reaction Product in Electronic Cigarette Aerosols.bioRxiv : the preprint server for biology · 2025Article
- Consistency Analysis of Practice Orientation of the Healthy Enterprise Program in China.BMC public health · 2025Article
- Quantification of 16 Metals in Fluids and Aerosols From Ultrasonic Pod-Style Cigarettes and Comparison to Electronic Cigarettes.Environmental health perspectives · 2025Article
- Occupational Exposure to Silica Dust and Silicosis Risk in Chinese Noncoal Mines: Qualitative and Quantitative Risk Assessment.JMIR public health and surveillance · 2024Article
- Attitudes, Behaviors, and Perceptions of Students Vaping in Three Mexican Universities.International journal of environmental research and public health · 2024Article
- Does vaping increase the likelihood of SARS-CoV-2 infection? Paradoxically yes and no.American journal of physiology. Lung cellular and molecular physiology · 2024Article
- New insights into how popular electronic cigarette aerosols and aerosol constituents affect SARS-CoV-2 infection of human bronchial epithelial cells.Scientific reports · 2023Article
- Nurses' Work Concerns and Disenchantment During the COVID-19 Pandemic: Machine Learning Analysis of Web-Based Discussions.JMIR nursing · 2023Article
- Characterization of e-cigarette users according to device type, use behaviors, and self-reported health outcomes: Findings from the EMIT study.Tobacco induced diseases · 2023Article
- New Insights into How JUUL™ Electronic Cigarette Aerosols and Aerosol Constituents Affect SARS-CoV-2 Infection of Human Bronchial Epithelial Cells.bioRxiv : the preprint server for biology · 2022Article
- Article
- Tracing the movement of electronic cigarette flavor chemicals and nicotine from refill fluids to aerosol, lungs, exhale, and the environment.Chemosphere · 2022Article
- Health effects and known pathology associated with the use of E-cigarettes.Toxicology reports · 2022Review
- E-cigarette fluids and aerosol residues cause oxidative stress and an inflammatory response in human keratinocytes and 3D skin models.Toxicology in vitro : an international journal published in association with BIBRA · 2021Article
- A qualitative examination of e-cigarette use among California young adults during the EVALI outbreak.Preventive medicine reports · 2021Article
- e-Cigarette Cessation: Content Analysis of a Quit Vaping Community on Reddit.Journal of medical Internet research · 2021Article
- Improving broad-coverage medical entity linking with semantic type prediction and large-scale datasets.Journal of biomedical informatics · 2021Article
- Electronic Cigarettes and Asthma: What Do We Know So Far?Journal of personalized medicine · 2021Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
backgroundOur previous infodemiological study was performed by manually mining health-effect data associated with electronic cigarettes (ECs) from online forums. Manual mining is time consuming and limits the number of posts that can be retrieved.
objectiveOur goal in this study was to automatically extract and analyze a large number (>41,000) of online forum posts related to the health effects associated with EC use between 2008 and 2015.
methodsData were annotated with medical concepts from the Unified Medical Language System using a modified version of the MetaMap tool. Of over 1.4 million posts, 41,216 were used to analyze symptoms (undiagnosed conditions) and disorders (physician-diagnosed terminology) associated with EC use. For each post, sentiment (positive, negative, and neutral) was also assigned.
resultsSymptom and disorder data were categorized into 12 organ systems or anatomical regions. Most posts on symptoms and disorders contained negative sentiment, and affected systems were similar across all years. Health effects were reported most often in the neurological, mouth and throat, and respiratory systems. The most frequently reported symptoms and disorders were headache (n=939), coughing (n=852), malaise (n=468), asthma (n=916), dehydration (n=803), and pharyngitis (n=565). In addition, users often reported linked symptoms (eg, coughing and headache).
conclusionsOnline forums are a valuable repository of data that can be used to identify positive and negative health effects associated with EC use. By automating extraction of online information, we obtained more data than in our prior study, identified new symptoms and disorders associated with EC use, determined which systems are most frequently adversely affected, identified specific symptoms and disorders most commonly reported, and tracked health effects over 7 years.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.