Evidence map›Paper›PMID 37342065›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2023

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.

Kathryn C Edwards, Asia Khan, Eva Sharma, Lanqing Wang, June Feng, Benjamin C Blount, Connie S Sosnoff, Danielle M Smith, Maciej L Goniewicz, Jennifer Pearson and 13 more

Erratum issuedAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Kathryn C EdwardsWestat, Rockville, Maryland.ORCID 0000-0002-0645-1705
Asia KhanWestat, Rockville, Maryland.ORCID 0009-0004-7298-2792
Eva SharmaWestat, Rockville, Maryland.ORCID 0000-0002-1328-508X
Lanqing WangCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0001-6620-7096
June FengCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0003-2582-9483
Benjamin C BlountCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0003-4788-8169
Connie S SosnoffCenters for Disease Control and Prevention, Atlanta, Georgia.ORCID 0000-0001-9162-633X
Danielle M SmithRoswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0002-1637-0992
Maciej L GoniewiczRoswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0001-6748-3068
Jennifer PearsonUniversity of Nevada, Reno, Reno, Nevada.ORCID 0000-0002-1400-5932
Andrea C VillantiRutgers Biomedical and Health Sciences, Rutgers University, New Brunswick, New Jersey.ORCID 0000-0003-3104-966X
Cristine D DelnevoRutgers Biomedical and Health Sciences, Rutgers University, New Brunswick, New Jersey.ORCID 0000-0001-9597-4307
Michelle T Bover-ManderskiRutgers Biomedical and Health Sciences, Rutgers University, New Brunswick, New Jersey.ORCID 0000-0003-0000-221X
Dorothy K HatsukamiUniversity of Minnesota, Minneapolis, Minnesota.ORCID 0000-0002-1108-2609
Raymond NiauraNew York University, New York, New York.ORCID 0000-0002-0856-3540
Colm EverardDivision of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, Maryland.ORCID 0009-0008-7441-5352
Heather L KimmelDivision of Epidemiology, Services, and Prevention Research, National Institute on Drug Abuse, Bethesda, Maryland.ORCID 0000-0001-8278-0095
Kara DuffyCenter for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.ORCID 0009-0001-2828-9673
Brian L RostronCenter for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.ORCID 0000-0002-1715-0545
Arseima Y Del Valle-PineroCenter for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.ORCID 0009-0006-7855-8065
Dana M van BemmelCenter for Tobacco Products, Food and Drug Administration, Silver Spring, Maryland.ORCID 0009-0005-0983-8824
Cassandra A StantonWestat, Rockville, Maryland.ORCID 0000-0001-5329-6261
Andrew HylandRoswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0009-0009-6318-9932

Funding

NIDA NIH HHS HHSN271201100027CNIDA NIH HHS HHSN271201600001C
6 · The paper itself

Abstract

backgroundSex and racial/ethnic identity-specific cut-points for validating tobacco use using Wave 1 (W1) of the Population Assessment of Tobacco and Health (PATH) Study were published in 2020. The current study establishes predictive validity of the W1 (2014) urinary cotinine and total nicotine equivalents-2 (TNE-2) cut-points on estimating Wave 4 (W4; 2017) tobacco use.

methodsFor exclusive and polytobacco cigarette use, weighted prevalence estimates based on W4 self-report alone and with exceeding the W1 cut-point were calculated to identify the percentage missed without biochemical verification. Sensitivity and specificity of W1 cut-points on W4 self-reported tobacco use status were examined. ROC curves were used to determine the optimal W4 cut-points to distinguish past 30-day users from non-users, and evaluate whether the cut-points significantly differed from W1.

resultsAgreement between W4 self-reported use and exceeding the W1 cut-points was high overall and when stratified by demographic subgroups (0.7%-4.4% of use was missed if relying on self-report alone). The predictive validity of using the W1 cut-points to classify exclusive cigarette and polytobacco cigarette use at W4 was high (>90% sensitivity and specificity, except among polytobacco Hispanic smokers). Cut-points derived using W4 data did not significantly differ from the W1-derived cut-points [e.g., W1 exclusive = 40.5 ng/mL cotinine (95% confidence interval, CI: 26.1-62.8), W4 exclusive = 29.9 ng/mL cotinine (95% CI: 13.5-66.4)], among most demographic subgroups.

conclusionsThe W1 cut-points remain valid for biochemical verification of self-reported tobacco use in W4. IMPACT: Findings from can be used in clinical and epidemiologic studies to reduce misclassification of cigarette smoking status.

Indexed as

Tobacco ProductsTobacco Smoke PollutionBiomarkersCotinineHumansSelf ReportUnited StatesBiomarkersCotinineTobacco Smoke Pollution

Identifiers

PMID37342065
PMCPMC10527251

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.