Evidence map›Paper›PMID 23261494›Full record

ArticleAddictive behaviors2013

Utility of biochemical verification of tobacco cessation in the Department of Veterans Affairs.

Devon Noonan, Yunyun Jiang, Sonia A Duffy

Open access · greenAbstract readComparative StudyEvaluation StudyMulticenter Study
In one paragraph

Article in Addictive behaviors, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

26 citing papers in PubMed, 2 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
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  8. Training a Smoking Status Probabilistic Model Using Cotinine Levels in a Large Claims Database.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2026
    Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Biochemical Verification of Tobacco Use and Abstinence: 2019 Update.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2020
    Review
  15. Smoking Cessation among Female and Male Veterans before and after a Randomized Trial of Proactive Outreach.Women's health issues : official publication of the Jacobs Institute of Women's Health · 2019
    Article
  16. Article
  17. Article
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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

3 authors at 1 institution in 1 country.

Devon NoonanThe University of Michigan, School of Nursing. 400 North Ingalls, Ann Arbor, MI 48109-5482, United States.
Yunyun Jiang
Sonia A Duffy
University of Michigan–Ann Arbor · US

Funding

Health Promotion/Risk Reduction Interventions with Vulnerable PopulationsT32NR007073 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VILLARRUEL, ANTONIA M. · 1992 to 2012
$4.1M
Dissemination of Tobacco Tactics versus 1-800-QUIT-NOW for Hospitalized SmokersU01HL105218 · NHLBI · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI DUFFY, SONIA A · 2010 to 2012
$2.8M
NHLBI NIH HHS U01 HL105218NHLBI NIH HHS U01HL105218NINR NIH HHS T32NR007073
6 · The paper itself

Abstract

Research on the validity of self-report tobacco use has varied by the population studied and has yet to be examined among smokers serviced by the Department of Veterans Affairs (VA). The purpose of this study was to determine the predictors of returning a biochemical urine test and the specificity and sensitivity of self-reported tobacco use status compared to biochemical verification. This was a sub-analysis of the larger Tobacco Tactics research study, a pre-/post-non-randomized control design study to implement and evaluate a smoking cessation intervention in three large VA hospitals. Inpatient smokers completed baseline demographic, health history and tobacco use measures. Patients were sent a follow-up survey at six-months to assess tobacco use and urine cotinine levels. A total of 645 patients returned six-month surveys of which 578 also returned a urinary cotinine strip at six-months. Multivariate analysis of the predictors of return rate revealed those more likely to return biochemical verification of their smoking status were younger, more likely to be thinking about quitting smoking, have arthritis, and less likely to have heart disease. The sensitivity and specificity of self-report tobacco use were 97% (95% confidence interval=0.95-0.98) and 93% (95% confidence interval=0.84-0.98) respectively. The misclassification rate among self-reported quitters was 21%. The misclassification rate among self-reported tobacco users was 1%. The sensitivity and specificity of self-report tobacco use were high among veteran smokers, yet among self-report quitters that misclassification rate was high at 21% suggesting that validating self-report tobacco measures is warranted in future studies especially in populations that are prone to misclassification.

Indexed as

Smoking CessationSmoking PreventionCotinineFemaleHospitalizationHumansMaleMiddle AgedSelf ReportSensitivity and SpecificitySubstance Abuse DetectionCotinine

Identifiers

PMID23261494
PMCPMC4856005
OpenAlexW2043849646

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.