Evidence map›Paper›PMID 29788484›Full record

SynthesisNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2019

An E-Liquid Flavor Wheel: A Shared Vocabulary Based on Systematically Reviewing E-Liquid Flavor Classifications in Literature.

Erna J Z Krüsemann, Sanne Boesveldt, Kees de Graaf, Reinskje Talhout

Abstract readSystematic Review
In one paragraph

Synthesis in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed, 4 pooled it
–field-weighted citation impact
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

92 citing papers in PubMed, 4 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pulmonary effects of e-liquid flavors: a systematic review.Journal of toxicology and environmental health. Part B, Critical reviews · 2022
    Pooled it
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  9. Mapping the flavoring landscape: a comparative analysis of tobacco and related products.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
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  14. E-cigarette liquids alter the biogenesis and properties ofFrontiers in cellular and infection microbiology · 2026
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32 more citing papers are in PubMed but not listed here.

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

4 authors.

Erna J Z KrüsemannNational Institute for Public Health and the Environment (RIVM), Centre for Health Protection, Antonie van Leeuwenhoeklaan, MA Bilthoven, The Netherlands.
Sanne BoesveldtDivision of Human Nutrition and Health, Wageningen University, Stippeneng, WE Wageningen, The Netherlands.
Kees de GraafDivision of Human Nutrition and Health, Wageningen University, Stippeneng, WE Wageningen, The Netherlands.
Reinskje TalhoutNational Institute for Public Health and the Environment (RIVM), Centre for Health Protection, Antonie van Leeuwenhoeklaan, MA Bilthoven, The Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionE-liquids are available in a high variety of flavors. A systematic classification of e-liquid flavors is necessary to increase comparability of research results. In the food, alcohol, and fragrance industry, flavors are classified using flavor wheels. We systematically reviewed literature on flavors related to electronic cigarette use, to investigate how e-liquid flavors have been classified in research, and propose an e-liquid flavor wheel to classify e-liquids based on marketing descriptions.

methodsThe search was conducted in May 2017 using PubMed and Embase databases. Keywords included terms associated with electronic cigarette, flavors, liking, learning, and wanting in articles. Results were independently screened and reviewed. Flavor categories used in the articles reviewed were extracted.

resultsSearches yielded 386 unique articles of which 28 were included. Forty-three main flavor categories were reported in these articles (eg, tobacco, menthol, mint, fruit, bakery/dessert, alcohol, nuts, spice, candy, coffee/tea, beverages, chocolate, sweet flavors, vanilla, and unflavored). Flavor classifications of e-liquids in literature showed similarities and differences across studies. Our proposed e-liquid flavor wheel contains 13 main categories and 90 subcategories, which summarize flavor categories from literature to find a shared vocabulary. For classification of e-liquids using our flavor wheel, marketing descriptions should be used.

conclusionsWe have proposed a flavor wheel for classification of e-liquids. Further research is needed to test the flavor wheels' empirical value. Consistently classifying e-liquid flavors using our flavor wheel in research (eg, experimental, marketing, or qualitative studies) minimizes interpretation differences and increases comparability of results. IMPLICATIONS: We reviewed e-liquid flavors and flavor categories used in research. A large variation in the naming of flavor categories was found and e-liquid flavors were not consistently classified. We developed an e-liquid flavor wheel and provided a guideline for systematic classification of e-liquids based on marketing descriptions. Our flavor wheel summarizes e-liquid flavors and categories used in literature in order to create a shared vocabulary. Applying our flavor wheel in research on e-liquids will improve data interpretation, increase comparability across studies, and support policy makers in developing rules for regulation of e-liquid flavors.

Indexed as

Terminology as TopicVapingBiomedical ResearchElectronic Nicotine Delivery SystemsFlavoring AgentsHumansFlavoring Agents

Identifiers

PMID29788484
PMCPMC6751518

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.