Evidence map›Paper›PMID 38787151›Full record

ArticleToxics2024

Development of a Flavor Ingredient Wheel Linking E-Liquid Additives to the Labeled Flavor of Vaping Products.

Kelly Buettner-Schmidt, Katherine Steward, Maciej L Goniewicz, Kolby Schaeffer Fraase, Megan Orr, Donald R Miller

Abstract read
In one paragraph

Article in Toxics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. 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
    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

6 authors.

Kelly Buettner-SchmidtSchool of Nursing, North Dakota State University, Fargo, ND 58108, USA.ORCID 0000-0001-9612-2405
Katherine StewardDepartment of Chemistry and Biochemistry, Montana State University, Bozeman, MT 59717, USA.
Maciej L GoniewiczDepartment of Health Behavior, Roswell Park Comprehensive Cancer Center, Buffalo, NY 14263, USA.ORCID 0000-0001-6748-3068
Kolby Schaeffer FraaseSchool of Nursing, North Dakota State University, Fargo, ND 58108, USA.ORCID 0000-0002-1421-884X
Megan OrrSchool of Nursing, North Dakota State University, Fargo, ND 58108, USA.
Donald R MillerSchool of Nursing, North Dakota State University, Fargo, ND 58108, USA.ORCID 0000-0003-3075-0606

Funding

Research Core (Developmental Research Project Program)P20GM103474 · NIGMS · MONTANA STATE UNIVERSITY - BOZEMAN · PI Ann Therese Bertagnolli · 2012 to 2026
$60.0M
NIGMS NIH HHS Award Number P20GM103474NIGMS NIH HHS P20 GM103474North Dakota Department of Health G19.276North Dakota Department of Health G19.276ANorth Dakota Department of Health G19.736North Dakota Department of Health G21.254North Dakota Department of Health G21-781
6 · The paper itself

Abstract

E-liquids contain combinations of chemicals, with many enhancing the sensory attractiveness of the product. Studies are needed to understand and characterize e-liquid ingredients, particularly flavorings, to inform future research and regulations of these products. We identified common flavor ingredients in a convenience sample of commercial e-liquids using gas chromatography-mass spectrometry. E-liquid flavors were categorized by flavor descriptors provided on the product packaging. A Flavor Ingredient Wheel was developed to link e-liquid flavor ingredients with flavor categories. An analysis of 109 samples identified 48 flavor ingredients. Consistency between the labeled flavor and ingredients used to produce such flavor was found. Our novel Flavor Ingredient Wheel organizes e-liquids by flavor and ingredients, enabling efficient analysis of the link between ingredients and their flavor profiles and allowing for quick assessment of an e-liquid ingredient's flavor profile. Investigating ingredient profiles and identifying and classifying commonly used chemicals in e-liquids may assist with future studies and improve the ability to regulate these products.

Indexed as

chemicalse-cigaretteselectronic cigaretteselectronic nicotine delivery systemse-liquidsflavoringingredientsnicotinepublic healthvaping

Identifiers

PMID38787151
PMCPMC11125894

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.