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Record W4407209120 · doi:10.1111/add.16772

Evaluating mediators of the effect of varenicline preloading on smoking abstinence in a randomized controlled trial

2025· article· en· W4407209120 on OpenAlexafffund
Samantha Johnstone, Robert K. Cooper, Jennifer M. Wray, Sarah Tonkin, Kyler S. Knapp, Craig R. Colder, Eugene Maguin, Martin C. Mahoney, Stephen T. Tiffany, Thomas H. Brandon, Rebecca L. Ashare, Rachel F. Tyndale, Larry W. Hawk

Bibliographic record

VenueAddiction · 2025
Typearticle
Languageen
FieldMedicine
TopicSmoking Behavior and Cessation
Canadian institutionsMental Health Research CanadaUniversity of Toronto
FundersNational Cancer InstituteCanadian Institutes of Health ResearchCanada Research ChairsNational Center for Advancing Translational SciencesDivision of Cancer Prevention, National Cancer Institute
KeywordsVareniclineAbstinenceSmoking cessationRandomized controlled trialPlaceboMedicineCravingPsychologyNicotinePsychiatryInternal medicineAddiction

Abstract

fetched live from OpenAlex

BACKGROUND AND AIMS: Mechanisms of varenicline preloading in promoting smoking abstinence have not been evaluated. Based on an extinction of reinforcement framework, we tested the hypothesis that pre-quit reductions in smoking rate mediate the effect of extended preloading on abstinence. We also tested alternative indicators of change in smoking reinforcement, as well as smoking aversion, nausea and abstinence self-efficacy as candidate mediators. DESIGN, PARTICIPANTS AND INTERVENTION: Randomized, double-blind, placebo-controlled trial (NCT03262662) comparing extended (4-week varenicline) to standard (3 weeks of placebo, 1-week varenicline) preloading, preceding 11 weeks of open-label varenicline, in 320 adults (56% female). The primary outcome was self-reported continuous smoking abstinence during the last 4 weeks of treatment, with cotinine bio-verification at end of treatment (EOT). SETTING: University at Buffalo, State University of New York, USA (part of the trial was conducted at participants' homes due to the COVID-19 pandemic). MEASUREMENTS: Candidate mediators, including smoking rate and subjective effects of smoking (reward, satisfaction, aversion), self-reported craving, withdrawal, nausea and abstinence self-efficacy, were assessed daily during the pre-quit period with ecological momentary assessment. At two laboratory visits participants completed a choice task to assess smoking reinforcement. FINDINGS: There was a statistically significant indirect effect of extended preloading on greater EOT abstinence rates through pre-quit declines in smoking rate [a*b = 0.284, 95% confidence interval (0.072,0.616)] and percent reduction in smoking across the pre-quit period [a*b = 0.225, (0.080,0.437)]. There were also statistically significant indirect effects through reductions in pre-quit craving [a*b = 0.150, (0.01,0.420)] and increases in pre-quit self-efficacy [a*b = 0.157, (0.038,0.375)]. Sex-specific analyses suggested these mediated effects were consistently limited to females. No other candidate mediators yielded statistically significant indirect effects. CONCLUSIONS: Extended varenicline preloading mediated smoking abstinence through reduced pre-quit smoking and craving among female smokers seeking to quit; increased pre-quit abstinence self-efficacy was also a significant mediator.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.017
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.088

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0170.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0060.004
Bibliometrics0.0010.001
Science and technology studies0.0010.002
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0080.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.017
GPT teacher head0.350
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes2
Has abstractyes

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