ArticleContemporary clinical trials communications2022
Protocol from a randomized clinical trial of multiple pharmacotherapy adaptations based on treatment response in African Americans who smoke.
Article in Contemporary clinical trials communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03897439 (Individualizing Pharmacotherapy), which is not on this map. Cited by 5 papers.
What it found
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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.
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.
Individualizing Pharmacotherapy: A Novel Optimization Strategy to Increase Smoking Cessation in the African American Community
Who cites it
5 citing papers in PubMed, 5 citations in OpenAlex.
- Characteristics of Black Adults Who Never Achieved 24-Hours of Abstinence in a Smoking Cessation Trial: Implications for Improving Treatment Response.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Trial
- Characteristics associated with medication adherence in a randomized clinical trial of multiple pharmacotherapy adaptations based on treatment response in black adults who smoke.Addictive behaviors · 2025Trial
- Early Treatment Response in Black Smokers Undergoing Pharmacotherapy for Smoking Cessation: A Secondary Analysis of a Randomized Clinical Trial.JAMA network open · 2023Trial
- Multiple Pharmacotherapy Adaptations for Smoking Cessation Based on Treatment Response in Black Adults Who Smoke: A Randomized Clinical Trial.JAMA network open · 2023Trial
- Smoking Cessation in Black Adults: Differences by Sex and Age.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 4 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: The standard of care in tobacco treatment is to continue individuals who smoke on the same cessation medication, even when they do not stop smoking. An alternative strategy is to adapt pharmacotherapy based on non-response. A handful of studies have examined this approach, but they have adapted pharmacotherapy only once and/or focused on adaptation distal rather than proximal to a failed quit attempt. Few studies have included racial/ethnic minorities who have less success in quitting and bear a disproportionate share of tobacco-related morbidity and mortality. Methods: The current study is comparing the efficacy of optimized (OPT) versus enhanced usual care (UC) for smoking cessation in African Americans (AA) who smoke cigarettes. AAs who smoke (n = 392) are randomized 1:1 to OPT or UC. Participants in both groups receive 7 sessions of smoking cessation counseling and18-weeks of pharmacotherapy with long-term follow-up through Week 26. OPT participants receive nicotine patch and up to two pharmacotherapy adaptations to varenicline and bupropion plus patch based on carbon monoxide verified smoking status (≥6 ppm) at Weeks 2 and 6. UC participants receive patch throughout the duration of treatment. We hypothesize that OPT will be more effective than UC on the primary outcome of biochemically verified abstinence at Week 12. Discussion: If effective, findings could broaden the scope of tobacco dependence treatment and move the field toward optimization strategies that impro ve abstinence for AA who smoke. Trial registration: NCT03897439.
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Registered trials
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.