Evidence map›Paper›PMID 40126122›Full record

Trial reportCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2025

Biomarkers of Nicotine and Tobacco Carcinogen Exposure in Socioeconomically Disadvantaged Black Adults Receiving a Brief Smoking Reduction Intervention.

Emma I Brett, Jessica H K Slear, Maciej L Goniewicz, Andrea C King

Abstract readRandomized Controlled Trial
In one paragraph

Trial report in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. No Smoker Left Behind: Evaluation of a Population-Based, Opt-Out Smoking Cessation Program for Patients With Cancer Who Smoke.Journal of clinical oncology : official journal of the American Society of Clinical Oncology · 2026
    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

4 authors.

Emma I BrettDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois.ORCID 0000-0001-9092-5207
Jessica H K SlearDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois.ORCID 0009-0006-7143-9821
Maciej L GoniewiczRoswell Park Comprehensive Cancer Center, Buffalo, New York.ORCID 0000-0001-6748-3068
Andrea C KingDepartment of Psychiatry and Behavioral Neuroscience, University of Chicago, Chicago, Illinois.ORCID 0000-0001-5943-7109

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI KUNLE ODUNSI · 1985 to 2026
$122.1M
Helping Everyone Achieve a LifeTime of Health - Future Addiction Scientist TrainingR25DA054015 · NIDA · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI OBASI, EZEMENARI M., REITZEL, LORRAINE R · 2021 to 2025
$1.0M
Development of a mobile health intervention for electronic cigarette use among young adultsR00DA054260 · NIDA · UNIVERSITY OF CHICAGO · PI Emma Brett · 2024 to 2026
$747k
Comprehensive Cancer Center, University of Chicago Medical Center (Comprehensive Cancer Center) P30-CA14599National Institute on Drug Abuse (NIDA) 4R00DA054260National Institute on Drug Abuse (NIDA) R25DA054015NCI NIH HHS P30 CA014599NIDA NIH HHS R00 DA054260NIDA NIH HHS R25 DA054015
6 · The paper itself

Abstract

backgroundRetrospective reporting of cigarette use can affect the accuracy of outcomes in tobacco treatment trials. The inclusion of objective measures of smoking, such as biomarkers of nicotine and tobacco exposure, is recommended. Most trials examining biomarkers after a behavioral intervention have included predominantly White adults enrolled in cessation, versus reduction, trials. The current study examined biomarkers of nicotine and tobacco exposure within a harm reduction trial in Black adults who smoke (AWS).

methodsNontreatment-seeking socioeconomically disadvantaged Black AWS (N = 65) were randomized to a treatment-as-usual control or enhanced care single-session intervention aimed to reduce their smoking. Biospecimens were collected at baseline and 1 month after treatment to measure objective markers of nicotine and smoke exposure, including expired carbon monoxide, urinary metabolites of nicotine (cotinine and trans-3'-hydroxycotinine), and urinary tobacco-specific nitrosamine 4-(methylnitrosamino)-1-(3-pyridyl)-1-butanol.

resultsThose in the enhanced care condition self-reported a significant reduction in smoking at follow-up (P < 0.01), but there were no concomitant decreases across biomarkers (all P values > 0.05). Exploratory analyses in participants who reported at least 50% smoking reductions or reduced daily cigarette intake by at least three cigarettes at follow-up compared with baseline revealed nonsignificant changes across all biomarkers (all P values > 0.05).

conclusionsSelf-reported smoking reductions were not biochemically verified across measures. It is possible that compensatory behaviors when reducing smoking (e.g., deeper inhalations) or underreporting of smoking contributed to this discrepancy. IMPACT: Partial smoking reduction does not seem to reduce biomarkers of carcinogen exposure and may not be an effective strategy to narrow tobacco-related health disparities in Black AWS.

Indexed as

BiomarkersCarcinogensNicotineSmokingSmoking ReductionAdultBlack or African AmericanCotinineFemaleHumansMaleMiddle AgedNitrosamines4-(methylnitrosamino)-1-(3-pyridyl)-1-butan-1-olBiomarkersCarcinogensCotinineNicotineNitrosamines

Identifiers

PMID40126122
PMCPMC12133407

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.