Evidence map›Paper›PMID 32598452›Full record

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

Relationships Between Race, Gender, and Spot Urine Levels of Biomarkers of Tobacco Exposure Vary Based on How Creatinine Is Handled in Analyses.

Dana M Carroll, Shannon Cigan, Joshua Ikuemonisan, Taylor Hammonds, Irina Stepanov, Gideon St Helen, Neal Benowitz, Dorothy K Hatsukami

Open access · greenAbstract read
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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Trial
  2. Article
  3. 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
    Article
  4. Multiethnic Prediction of Nicotine Biomarkers and Association With Nicotine Dependence.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2021
    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

8 authors at 3 institutions in 1 country.

Dana M CarrollDivision of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN.
Shannon CiganDivision of Epidemiology and Clinical Research, Department of Pediatrics, University of Minnesota, Minneapolis, MN.
Joshua IkuemonisanMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
Taylor HammondsGraduate Program in Regulatory Sciences and Interdisciplinary Biomedical Sciences, University of Arkansas for Medical Sciences, Little Rock, AR.
Irina StepanovDivision of Environmental Health Sciences, School of Public Health, University of Minnesota, Minneapolis, MN.
Gideon St HelenClinical Pharmacology Research Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA.
Neal BenowitzClinical Pharmacology Research Program, Division of Cardiology, Department of Medicine, University of California, San Francisco, CA.
Dorothy K HatsukamiMasonic Cancer Center, University of Minnesota, Minneapolis, MN.
University of Minnesota · USUniversity of California, San Francisco · USUniversity of Arkansas for Medical Sciences · US

Funding

VERY LOW NICOTINE CIGARETTES IN SMOKERS WITH SCHIZOPHRENIAU54DA031659 · NIDA · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LE, CHAP T. · 2011 to 2022
$64.7M
Zosuquidar trihydrochloride for acute myeloid leukemia &refractory anemiaM01RR000080 · NCRR · UNIVERSITY HOSPITALS OF CLEVELAND · PI DEARBORN, DORR GELLATLY · 1985 to 2007
$22.2M
Training in PharmacoNeuroImmune Substance Abuse ResearchT32DA007097 · NIDA · UNIVERSITY OF MINNESOTA TWIN CITIES · PI MOLITOR, THOMAS WILLIAM · 1985 to 2021
$13.1M
The University of Arkansas for Medical Sciences Initiative for Maximizing Student Development ProgramR25GM083247 · NIGMS · UNIV OF ARKANSAS FOR MED SCIS · PI MCGEHEE, ROBERT E, THOMAS, BILLY R · 2009 to 2023
$5.4M
Summer Research Program for Diversity Students in PharmacoNeuroImmunologyR25DA039074 · NIDA · UNIVERSITY OF MINNESOTA · PI CARROLL, DANA MOWLS, CHEERAN, MAXIM CHACKO-JOSEPH · 2016 to 2025
$814k
NIDA NIH HHS T32 DA007097NIDA NIH HHS U54 DA031659
6 · The paper itself

Abstract

introductionWe illustrate the differential impact of common analysis approaches to handling urinary creatinine, a measure for urine dilution, on relationships between race, gender, and biomarkers of exposure measured in spot urine.

methodsIn smokers, spot urine levels of total nicotine equivalents (TNE, sum of total nicotine, total cotinine, and total 3'-hydroxycotinine) and total 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol (NNAL) overall and per cigarette were examined. Relationships between race (African Americans [AA] n = 373, Whites n = 758) or gender (males n = 629, females n = 502) and TNE or NNAL were examined using the following approaches to handling creatinine: (1) unadjusted/unstandardized; (2) standardization; (3) adjustment as a covariate. Significance was considered at p < .05.

resultsCreatinine was higher in AA versus Whites (1.19 vs. 0.96 mg/mL; p < .0001) and in males versus females (1.21 vs. 0.84 mg/mL; p < .0001). Independent of how creatinine was handled, TNE was lower among AA than Whites (TNE ratios AA vs. Whites: 0.67-0.84; p's < .05). Unadjusted TNE per cigarette was higher among AA versus Whites (ratio 1.12; p = .0411); however, the relationship flipped with standardization (ratio 0.90; p = .0360) and adjustment (ratio 0.95; p = .3165). Regarding gender, unadjusted TNE was higher among males versus females (ratio 1.13; p = .0063), but the relationship flipped with standardization (ratio 0.79; p < .0001) or adjustment (ratio 0.89; p = .0018). Unadjusted TNE per cigarette did not differ across gender (ratio 0.98; p = .6591), but lower levels were found in males versus females with standardization (ratio 0.68; p < .0001) and adjustment (ratio 0.74; p < .0001). NNAL displayed similar patterns.

conclusionsRelationships between race, gender, and spot urine levels of biomarkers of exposure can vary greatly based on how creatinine is handled in analyses. IMPLICATIONS: Lack of appropriate methods can lead to discrepancies across reports on variability of urinary biomarkers by race and gender. We recommend that for any analyses of biomarkers of exposure measure in spot urine samples across race, gender, or other population subgroups that differ in urinary creatinine levels, sensitivity analyses comparing the different methods for handling urinary creatinine should be conducted. If methods result in discrepant findings, this should be clearly noted and discussed.

Indexed as

AdolescentBiomarkersCreatinineEthnicityFemaleHumansMaleMulticenter Studies as TopicNicotineRandomized Controlled Trials as TopicSex FactorsSmokingTobacco Use DisorderUnited StatesBiomarkersCreatinineNicotine

Identifiers

PMID32598452
PMCPMC7593361
OpenAlexW3038931203

What OpenQuestion holds

Textmetadata
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.