Evidence map›Paper›PMID 35516526›Full record

ArticleFrontiers in toxicology2022

Toxicological Assessment of Flavor Ingredients in E-Vapor Products.

Davide Sciuscio, Florian Calvino-Martin, Ashutosh Kumar, Timothy B Langston, Elyette Martin, Diego Marescotti, Carole Mathis, Julia Hoeng, Manuel C Peitsch, Donna C Smith and 3 more

Abstract read
In one paragraph

Article in Frontiers in toxicology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
–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

7 citing papers in PubMed.

  1. Article
  2. Chemosensory tobacco product toxicology part 1: sensory mechanisms.Toxicological sciences : an official journal of the Society of Toxicology · 2025
    Review
  3. Article
  4. Review
  5. Review
  6. Article
  7. 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

13 authors.

Davide SciuscioPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Florian Calvino-MartinPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Ashutosh KumarAltria Client Services LLC, Richmond, VA, United States.
Timothy B LangstonAltria Client Services LLC, Richmond, VA, United States.
Elyette MartinPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Diego MarescottiPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Carole MathisPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Julia HoengPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Manuel C PeitschPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Donna C SmithAltria Client Services LLC, Richmond, VA, United States.
Maria GogovaAltria Client Services LLC, Richmond, VA, United States.
Patrick VanscheeuwijckPMI R&D, Philip Morris Products S.A., Neuchâtel, Switzerland.
Kyeonghee M LeeAltria Client Services LLC, Richmond, VA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many flavor ingredients are often used in potentially reduced-risk tobacco products (such as e-vapor products). Although most are "generally recognized as safe (GRAS)" when used in food, there is limited information available on their long-term health effects when delivered by inhalation. While obtaining route-of-exposure-specific toxicological data on flavor ingredients is critical to product evaluation, the large number of individual flavor ingredients available and their potential combinations render classical toxicological assessment approaches impractical, as they may require years of preclinical investigations and thousands of laboratory animals. Therefore, we propose a pragmatic approach in which flavor ingredients are initially assigned to groups of structurally related compounds (Flavor Groups), from which flavor group representatives (FGR) are then selected and tested individually and as a mixture

Indexed as

ENDSE-vapor productsflavor ingredientsin silico toxicologyreduced risk productsstructural grouping

Identifiers

PMID35516526
PMCPMC9065440

What OpenQuestion holds

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LicenceCC BY
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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.