Cited by 11Smoking Behavior and CessationStatistical Methods in Clinical TrialsChronic Obstructive Pulmonary Disease (COPD) Research

Improving efficiency of initial tests for efficacy in smoking cessation drug discovery

Open access
Perkins, Kenneth A·2014·Expert Opinion on Drug Discovery

Abstract

INTRODUCTION: One obstacle to rapid development of new smoking cessation medications is the inefficient early clinical evaluation of the efficacy of novel drugs, which inform us as to whether or not to proceed with the greater expense and time of more formal clinical trials. The vast majority of novel drugs fail to show efficacy for cessation only after substantial resources have been spent and, thus, are largely wasted. AREAS COVERED: The author reviews the general limitations in the current typical procedures for initial tests of cessation efficacy in novel drugs. Small, randomized clinical trials often have good validity but may have practical limitations in achieving adequate statistical power to test novel versus placebo treatment conditions. Lab tests of acute drug effects on abstinence symptoms, during brief enforced cessation periods, are practical but have limited clinical predictive validity. EXPERT OPINION: Initial efficacy testing may be more efficient if done using innovative crossover designs that evaluate brief 'practice' quit periods for both active and placebo treatments within the same smokers, recruiting those high in quit motivation. Because this approach would require far fewer subjects and a shorter duration of testing, results could be obtained more rapidly and inexpensively to indicate that a novel drug may, or may not, be sufficiently efficacious as to warrant the greater costs and time of formal randomized clinical trials.

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Crossref · 10.1517/17460441.2014.951632

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  • Because early abstinence success predicts continued abstinence, Titrators who remained engaged in the exercise intervention through quit week may have benefited comparably to Completers despite lower overall attendance.

    “Since success with abstinence within the first 24 hours after quit is predictive of continued abstinence (Perkins, 2014), Titrators who were likely to remain engaged in the exercise intervention through quit week may have benefited comparably to Completers despite lower overall attendance.”

    From Identifying attendance patterns in a smoking cessation treatment and their relationships with quit success (2017) · cites this paper as Perkins, 2014

    Section 3.1 (page not specified) reports that the number of quit days in the first week predicts later quit status and proposes at least 24 hours of abstinence as a likely surrogate measure of drug efficacy. It does not specifically establish that abstinence within the first 24 hours predicts continued abstinence. The exercise-intervention comparison is the citing authors’ inference, not a claim attributed to Perkins. (LLM, conf=0.82)

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  • Early abstinence success within the first 24 hours after quit predicts continued abstinence.

    “Since success with abstinence within the first 24 hours after quit is predictive of continued abstinence (Perkins, 2014)”

    From Identifying attendance patterns in a smoking cessation treatment and their relationships with quit success (2017) · cites this paper as Perkins, 2014

    Section 3.1 (page not provided) proposes complete abstinence for at least 24 hours as a likely surrogate measure and reports that quit days during the first week predict later quit status. It does not establish that success specifically within the first 24 hours predicts continued abstinence. (LLM, conf=0.84)

    Experimental — accuracy not yet measured

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Research works printed but not linked: 6

  1. [4]4. Centers for Disease Control and Prevention (CDCP). Quitting smoking among adults----United States, 2001-2010. MMWR Morb Mortal Wkly Rep 2011;60:1513-19
  2. [5]5. Gonzales D, Rennard SI, Nides M, et al. Varenicline, an alpha4beta2 nicotinic acetylcholine receptor partial agonist, vs. sustained-release bupropion and placebo for smoking cessation. JAMA 2006;296:47-55
  3. [10]10. Ferry LH, Burchette RJ. Efficacy of bupropion for smoking cessation in non-depressed smokers. J Addict Dis 1994;13:249
  4. [21]21. Ferguson SG, Gitchell JG, Shiffman S, Sembower MA. Prediction of abstinence at 10 weeks based on smoking status at 2 weeks during a quit attempt. Clin Ther 2009;31:1957-65
  5. [24]24. Glaros AG, Kline RB. Understanding the accuracy of tests with cutting scores: the sensitivity, specificity, and predictive value model. J Clin Psychol 1988;44:1013-23
  6. [25]25. Perrin S. Make mouse studies work. Nature 2014;507:423-5

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Authors
Perkins, K. A.
Affiliations
University of Pittsburgh (US)
Corresponding author
Perkins, Kenneth A
Venue
Expert Opinion on Drug Discovery
Published
2014-08-20
Volume
9
Issue
11
Pages
1259-1264
ISSN
  • 1746-0441 (ISSN-L)
  • 1746-045X
OpenAlex
W1985036681
Cited by
11
References
25
Citations by year
2023: 1 · 2020: 1 · 2019: 1 · 2018: 1 · 2017: 4 · 2016: 1 · 2015: 1 · 2014: 1
Type
journal article
Language
en
Open access
Locations
  • Expert Opinion on Drug Discovery (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • National Institutes of Health (UH3TR000958)
  • National Center for Advancing Translational Sciences
Topics
  • Health Sciences › Medicine › Physiology › Smoking Behavior and Cessation
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Chronic Obstructive Pulmonary Disease (COPD) Research
Keywords
smoking cessation, smoking cessation drugs, drug discovery, crossover design, abstinence symptoms, statistical power, randomized controlled trials
MeSH terms
Animals, Humans, Smoking, Smoking Cessation, Treatment Outcome, Drug Discovery

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