Evidence map›Paper›PMID 30852610›Full record

ArticleNicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco2020

Urine Metabolites for Estimating Daily Intake of Nicotine From Cigarette Smoking.

Neal L Benowitz, Gideon St Helen, Natalie Nardone, Lisa Sanderson Cox, Peyton Jacob

Abstract readMulticenter Study
In one paragraph

Article in Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Trial
  2. Standardized research electronic cigarette acceptability among adult men and women who smoke combustible cigarettes.Psychology of addictive behaviors : journal of the Society of Psychologists in Addictive Behaviors · 2025
    Trial
  3. Trial
  4. Trial
  5. Observational
  6. Article
  7. Article
  8. Urinary Tobacco and Nicotine Exposure Biomarkers as Predictors of Transitions between Cigarette and e-Cigarette Use in the Exhale Longitudinal Cohort Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Observational
  9. Toxicant and Nicotine Exposure in Pregnant Smokers, Vapers, and Nicotine-Replacement Users: Cross-Sectional Study.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025
    Article
  10. Dynamic Treatment Regimes on Dyadic Networks.Statistics in medicine · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Validating Wave 1 (2014) Urinary Cotinine and TNE-2 Cut-points for Differentiating Wave 4 (2017) Cigarette Use from Non-use in the United States Using Data from the PATH Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2023
    Article
  17. Nicotine Intake in Adult Pod E-cigarette Users: Impact of User and Device Characteristics.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2023
    Article
  18. Article
  19. Article
  20. 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

5 authors.

Neal L BenowitzDivision of Clinical Pharmacology, Department of Medicine, University of California, San Francisco, CA.
Gideon St HelenDivision of Clinical Pharmacology, Department of Medicine, University of California, San Francisco, CA.
Natalie NardoneDivision of Clinical Pharmacology, Department of Medicine, University of California, San Francisco, CA.
Lisa Sanderson CoxDepartment of Preventive Medicine and Public Health, University of Kansas Medical School, Kansas City, KS.
Peyton JacobCenter for Tobacco Control Research and Education, Department of Medicine, University of California, San Francisco, CA.

Funding

University of Toronto Coordinating Genetics Core & Clinical Trial SiteU01DA020830 · NIDA · UNIVERSITY OF PENNSYLVANIA · PI BENOWITZ, NEAL L · 2005 to 2014
$22.4M
Research Support CoreP30DA012393 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON, JONES, REESE T. · 1999 to 2024
$17.1M
PHARMACOKINETICS &PHARMACODYNAMICS OF NICOTINER01DA002277 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENOWITZ, NEAL L · 1985 to 2012
$6.3M
Helping African American Light Smokers QuitR01CA091912 · NCI · UNIVERSITY OF KANSAS MEDICAL CENTER · PI COX, LISA SANDERSON · 2001 to 2010
$5.6M
Mechanisms of the Nicotine Metabolism Effect on Tobacco DependenceR01DA031193 · NIDA · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI BENOWITZ, NEAL L · 2012 to 2014
$1.2M
Liquid Chromatograph-Triple Quadrupole Mass SpectrometerS10RR026437 · NCRR · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI JACOB, PEYTON · 2010 to 2010
$448k
NCI NIH HHS R01 CA091912NCRR NIH HHS S10 RR026437NIDA NIH HHS P30 DA012393NIDA NIH HHS R01 DA002277NIDA NIH HHS R01 DA031193NIDA NIH HHS U01 DA020830
6 · The paper itself

Abstract

introductionAccurate measurement of nicotine exposure from cigarette smoke is important in studying disease risk and level of dependence. Urine total nicotine equivalents, the molar sum of nicotine and six metabolites (NE7), accounts for more than 90% of a nicotine dose and is independent of individual metabolic differences. However, measuring NE7 is technically difficult and costly. We compared NE7, the gold standard of nicotine intake, with different combinations of fewer urinary nicotine metabolites. We also examined the impact of individual differences in nicotine metabolic rate, sex, and race on strength of association with NE7.

methodsUrine samples from 796 daily smokers, who participated across five clinical studies, were assayed for nicotine and/or metabolites. Associations with NE7 were assessed by regression and Bland-Altman analyses.

resultsOverall, the molar sum of urine [cotinine + 3'-hydroxycotinine (3HC)] (NE2) and [nicotine + 
cotinine + 3HC] (NE3) were strongly correlated with NE7 (r = .97 and .99, respectively). However, in slow metabolizers NE2 was less predictive of NE7, whereas NE3 was equally robust. Urine total cotinine was also strongly correlated with NE7 (r = .87).

conclusionsUrine NE3 is a robust biomarker of daily nicotine intake, independently of individual metabolic differences, whereas NE2 is less accurate in slow metabolizers. Our findings inform the selection of more rigorous and cost-effective measures to assess nicotine exposure in tobacco research studies. IMPLICATIONS: The molar sum of urine total nicotine, cotinine and 3HC (NE3) is a robust biomarker of daily nicotine intake, independently of individual metabolic differences, and performs as well as measuring seven nicotine metabolites (NE7). The sum of cotinine and 3HC (NE2) is less accurate in slow metabolizers. Our findings inform the selection of more rigorous and cost-effective measures to assess nicotine exposure in tobacco research studies.

Indexed as

AdultBiomarkersCigarette SmokingCotinineFemaleHumansMaleMiddle AgedNicotianaNicotineBiomarkersCotininehydroxycotinineNicotine

Identifiers

PMID30852610
PMCPMC7297087

What OpenQuestion holds

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Registered trials

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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.