Evidence map›Paper›PMID 30530162›Full record

ArticleEnvironment international2019

Urinary concentrations of monohydroxylated polycyclic aromatic hydrocarbons in adults from the U.S. Population Assessment of Tobacco and Health (PATH) Study Wave 1 (2013-2014).

Yuesong Wang, Lee-Yang Wong, Lei Meng, Erin N Pittman, Debra A Trinidad, Kendra L Hubbard, Alisha Etheredge, Arseima Y Del Valle-Pinero, Rachel Zamoiski, Dana M van Bemmel and 11 more

Abstract read
In one paragraph

Article in Environment international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 3 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

27 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. The Association between Urinary Polycyclic Aromatic Hydrocarbons Metabolites and Type 2 Diabetes Mellitus.International journal of environmental research and public health · 2022
    Pooled it
  4. Article
  5. Consistency of Biomarkers of Exposure in the Population Assessment of Tobacco and Health Study from Samples Taken 3 to 5 Years Apart.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  6. Review
  7. Article
  8. Assessing the Relationship between Biomarkers of Exposure and Biomarkers of Potential Harm: PATH Study Wave 1 (2013 to 2014).Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
    Article
  9. Article
  10. Influence of Half-life and Smoking/Nonsmoking Ratio on Biomarker Consistency between Waves 1 and 2 of the Population Assessment of Tobacco and Health Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2024
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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

21 authors.

Yuesong WangCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Lee-Yang WongCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Lei MengCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Erin N PittmanCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Debra A TrinidadCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Kendra L HubbardCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Alisha EtheredgeCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA.
Arseima Y Del Valle-PineroCenter for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Rachel ZamoiskiCenter for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Dana M van BemmelCenter for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Nicolette BorekCenter for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Vyomesh PatelCenter for Tobacco Products, U.S. Food and Drug Administration, 10903 New Hampshire Avenue, Silver Spring, MD 20993, USA.
Heather L KimmelNational Institutes of Health, USA.
Kevin P ConwayNational Institutes of Health, USA.
Charles LawrenceWestat, 1600 Research Boulevard, Rockville, MD 20850, USA.
Kathryn C EdwardsWestat, 1600 Research Boulevard, Rockville, MD 20850, USA.
Andrew HylandRoswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY 14263, USA.
Maciej L GoniewiczRoswell Park Comprehensive Cancer Center, Elm and Carlton Streets, Buffalo, NY 14263, USA.
Dorothy HatsukamiUniversity of Minnesota, 3 Morrill Hall, 100 Church St. S.E., Minneapolis, MN 55455, USA.
Stephen S HechtUniversity of Minnesota, Cancer Center Research Building, 2231 6th St. SE, Minneapolis, MN 55455, USA.
Antonia M CalafatCenters for Disease Control and Prevention, National Center for Environmental Health, 4770 Buford Hwy NE, Atlanta, GA 30341, USA. Electronic address: Acalafat@cdc.gov.

Funding

Women's CancerP30CA077598 · NCI · UNIVERSITY OF MINNESOTA TWIN CITIES · PI Douglas Yee · 1998 to 2026
$100.4M
NCI NIH HHS P30 CA077598NIDA NIH HHS HHSN271201100027CNIDA NIH HHS HHSN271201600001C
6 · The paper itself

Abstract

backgroundPolycyclic aromatic hydrocarbons (PAHs) are environmental pollutants formed from incomplete combustion of organic matter; some PAHs are carcinogens. Smoking, diet, and other activities contribute to exposure to PAHs. Exposure data to PAHs among combustible tobacco product users (e.g. cigarette smokers) exist; however, among non-combustible tobacco products users (e.g., e-cigarette users), such data are rather limited.

objectivesWe sought to evaluate exposure to PAHs among participants in Wave 1 (2013-2014) of the Population Assessment of Tobacco and Health (PATH) Study based on the type of tobacco product (combustible vs non-combustible), and frequency and intensity of product use.

methodsWe quantified seven PAH urinary biomarkers in 11,519 PATH Study participants. From self-reported information, we categorized 8327 participants based on their use of tobacco products as never-tobacco user (never user, n = 1700), exclusive current established combustible products user (combustible products user, n = 5767), and exclusive current established non-combustible products user (non-combustible products user, n = 860). We further classified tobacco users as exclusive cigarette user (cigarette user, n = 3964), exclusive smokeless product user (SLT user, n = 509), and exclusive e-cigarette user (e-cigarette user, n = 280). Last, we categorized frequency of product use (everyday vs some days) and time since use (last hour, within 3 days, over 3 days). We calculated geometric mean (GM) concentrations, and evaluated associations between tobacco product user categories and PAH biomarkers concentrations.

resultsCombustible products users had significantly higher GMs of all biomarkers than non-combustible products users and never users; non-combustible products users had significantly higher GMs than never users for four of seven biomarkers. For all biomarkers examined, cigarette users had the highest GMs compared to other tobacco-product users. Interestingly, GMs of 2-hydroxyfluorene, 3-hydroxyfluorene and ∑2,3-hydroxyphenanthrene were significantly higher in SLT users than in e-cigarette users; 3-hydroxyfluorene and 1-hydroxypyrene were also significantly higher in e-cigarette and SLT users than in never users. Everyday cigarette and SLT users had significantly higher GMs for most biomarkers than some days' users; cigarette and SLT users who used the product in the last hour had significantly higher GMs of most biomarkers than other occasional cigarette or SLT users respectively. By contrast, everyday e-cigarette users' GMs of most biomarkers did not differ significantly from those in some days' e-cigarette users; we did not observe clear trends by time of last use among e-cigarette users.

conclusionsUsers of tobacco products had higher PAH urinary biomarker concentrations compared to never users, and concentrations differed by type and frequency of tobacco product use.

Indexed as

Tobacco ProductsAdolescentAdultBiomarkersElectronic Nicotine Delivery SystemsFemaleHumansMaleMiddle AgedPolycyclic Aromatic HydrocarbonsSelf ReportSmokingUnited StatesYoung AdultBiomarkersPolycyclic Aromatic Hydrocarbons

Identifiers

PMID30530162
PMCPMC6331224

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.