SynthesisChemical research in toxicology2020
Flavor-Toxicant Correlation in E-cigarettes: A Meta-Analysis.
Synthesis in Chemical research in toxicology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled 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.
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
21 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Chemical Profiles and Toxicity of Electronic Cigarettes: An Umbrella Review and Methodological Considerations.International journal of environmental research and public health · 2023Pooled it
- Flavoring Compound Chemical Class and Vaping Conditions Determine Toxic Carbonyl Emissions from E-Cigarettes.Chemical research in toxicology · 2026Article
- Assessment of nicotine pharmacokinetics and abuse liability in randomized, crossover studies of Vuse Alto electronic nicotine delivery systems.Frontiers in pharmacology · 2026Article
- Sweeteners in E-Cigarettes: A Minireview of Flavoring and Biological Action.Journal of xenobiotics · 2025Review
- Memory under siege: the cognitive costs of smoking and vaping.Brain, behavior, & immunity - health · 2025Review
- Menthol flavour enhances vaping experiences: a randomised crossover clinical trial.Tobacco control · 2025Article
- Chemical Constituents and Particle Size Distribution of Mainstream Emission From Electronic Waterpipe.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Biomarkers of Toxicant Exposure among Youth in Canada, England, and the United States Who Vape and/or Smoke Tobacco or Do Neither.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025Article
- Immunological Effects of Electronic Cigarette Use: A Review of Current Evidence.Clinical reviews in allergy & immunology · 2025Review
- Physical and Chemical Characterization of Aerosols Produced from Commercial Nicotine Salt-Based E-Liquids.Chemical research in toxicology · 2025Article
- Understanding the nicotine dose delivered by electronic nicotine delivery systems in a single puff: the importance of nicotine flux and puff duration.Tobacco control · 2024Article
- Toxicological Aspects Associated with Consumption from Electronic Nicotine Delivery System (ENDS): Focus on Heavy Metals Exposure and Cancer Risk.International journal of molecular sciences · 2024Review
- Emerging ENDS products and challenges in tobacco control toxicity research.Tobacco control · 2023Article
- Risk and safety profile of electronic nicotine delivery systems (ENDS): an umbrella review to inform ENDS health communication strategies.Tobacco control · 2022Article
- Effects of Common e-Liquid Flavorants and Added Nicotine on Toxicant Formation during Vaping Analyzed byChemical research in toxicology · 2022Article
- The Case Against Flavors in E-Cigarettes Is Stronger Than Ever.American journal of public health · 2022Article
- Turkish Thoracic Society's Statement Report on Electronic Cigarettes and Heated Tobacco Products.Turkish thoracic journal · 2022Article
- E-cigarette vaping associated acute lung injury (EVALI): state of science and future research needs.Critical reviews in toxicology · 2022Review
- Characterizing the Chemical Landscape in Commercial E-Cigarette Liquids and Aerosols by Liquid Chromatography-High-Resolution Mass Spectrometry.Chemical research in toxicology · 2021Article
- 9. Flavours in novel and emerging nicotine and tobacco products.World Health Organization technical report series · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Flavors in electronic cigarette (ECIG) liquids may increase ECIG aerosol toxicity via intact distillation or chemical transformation. For this report, we performed a meta-analysis of the literature to categorize the compounds found in flavored ECIG liquids into a few chemical classes and to predict their possible chemical transformations upon ECIG liquid aerosolization. This analysis allowed us to propose specific correlations between flavoring chemicals and aerosol toxicants. A literature search was conducted in November 2019 using PubMed. Keywords included terms related to ECIGs and flavors. Studies were included if they reported chemical ingredients of flavored liquids and clearly stated the commercial names of these liquids. The obtained data were visualized on a network diagram to show the common chemical compounds identified in flavored ECIG liquids and categorize them into different chemical classes. The systematic literature review included a total of 11 articles. Analysis of the data reported gave a total of 189 flavored liquids and 173 distinct chemical compounds that were categorized into 22 chemical classes according to their functional groups. The subsequent prediction of chemical transformations of these functional groups highlighted the possible correlation of flavor compounds to aerosol toxicants.
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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.