Evidence map›Paper›PMID 27034970›Full record

ArticleTobacco regulatory science2016

Mouth Level Exposure and Similarity to Machine-smoked Constituent Yields.

Kia J Jackson, Megan J Schroeder, Allison C Hoffman

Open access · diamondAbstract read
In one paragraph

Article in Tobacco regulatory science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.9field-weighted citation impact, top 23% of its field
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

5 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Little Cigars, Filtered Cigars, and their Carbonyl Delivery Relative to Cigarettes.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2018
    Article
  4. Article
  5. 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

3 authors at 1 institution in 1 country.

Kia J JacksonPharmacologist, Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD.
Megan J SchroederPharmacologist, Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD.
Allison C HoffmanAssociate Director of Science Coordination and Communication, Office of Science, Center for Tobacco Products, Food and Drug Administration, Silver Spring, MD.
Office of Science · US

Funding

Intramural FDA HHS FD999999
6 · The paper itself

Abstract

objectivesThe goal of this review was to evaluate which standard machine-smoking regimen may be most appropriate to inform tobacco product regulation based on the fraction of cigarette smoke yields that best represents the range of human smoke exposures.

methodsWe searched PubMed and Web of Science to identify peer-reviewed studies that reported percentages of smokers who smoked more or less like a particular machine-smoking regimen based on human mouth level exposure (MLE) tobacco constituent yields.

resultsThree studies met our inclusion criteria and were reviewed. Studies found that Canadian Intense (CI) yields were equal to or greater than 86% to 97% of smokers' nicotine and tar MLE yields.

conclusionsMLE yields indicate that a small percentage of individuals (less than 14%) are exposed to nicotine and tar yields equal to or greater than those measured by the CI regimen. Whereas no machine-smoking regimen reflects human puffing behavior with complete accuracy, based on MLE data, CI constituent yields constitute the best representation of exposure that encompasses the majority of smokers, and may be the most informative for regulatory purposes.

Indexed as

Canadian Intensehuman smoke exposuremachine smoking regimenmouth level exposuretobacco constituent yields

Identifiers

PMID27034970
PMCPMC4811367
OpenAlexW2322979845

What OpenQuestion holds

Textmetadata
LicenceTDM
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.