Literature DB >> 29506226

RE: Effectiveness of Pharmaceutical Smoking Cessation Aids in a Nationally Representative Cohort of American Smokers.

Saul Shiffman1,2, Joe G Gitchell3.   

Abstract

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Year:  2018        PMID: 29506226      PMCID: PMC6186519          DOI: 10.1093/jnci/djy025

Source DB:  PubMed          Journal:  J Natl Cancer Inst        ISSN: 0027-8874            Impact factor:   13.506


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We read with interest Leas et al.’s analysis of the Current Population Survey data (1) relating the use of pharmacotherapy to outcome in attempts to quit smoking, particularly as a decade ago we published a similar analysis on some of the same data (2), not cited by Leas et al. We strongly agree with the editorial by Tindle and Greevy that a major issue in the analysis is serious confounding when treatment is assigned clinically or self-selected (3). This is a classic case of the well-known “confounding by indication” (4,5) (or by “severity”) problem, in which treatment is primarily used by those who already have the most severe conditions and are the most prone to poor outcomes. Leas et al. undertook heroic efforts to overcome confounding by propensity score matching, but this is insufficient to remove this bias. Those who are convinced they cannot succeed without treatment (and perhaps whose doctors are also so convinced) are most likely to use it. The limited data available in the survey cannot account for all the factors that may enter into smokers’ assessment of their own prognosis (eg, how motivated they are to quit, how difficult they found quitting last time they tried, what impediments to quitting they expect, etc.). When treatment is actively “assigned” by assessed of risk of failure, the resulting bias is near impossible to correct (5). Indeed, such bias also affects the relationship between behavioral treatment and outcome. Our 2008 analysis (2), which analyzed some of the same smokers as Leas et al., found that smokers who used behavioral treatment were statistically and clinically significantly less likely to quit than those who did not. And those who used both medication and behavioral treatment did worst of all—worse than those who used only medication. In other words, confounding by indication produces perverse and invalid “findings”—the more treatment, the worse the outcomes. Leas et al. argue that what is needed for medication to succeed is behavioral treatment. Yet they forego examining this premise directly in their analyses, where biasing by indication would likely produce contrary findings. To be clear, we believe that behavioral treatment is effective, including in combination with medication, and have long advocated its use (6). But Leas et al.’s conclusion that medications that have been repeatedly tested and found effective in randomized clinical trials do not work without behavioral treatment is based on fatally confounded data.

Notes

Affiliations of authors: Pinney Associates, Pittsburgh, PA (SS); University of Pittsburgh, Pittsburgh, PA (SS); Pinney Associates, Bethesda, MD (JGG). PinneyAssociates provides consulting services on tobacco harm minimization (including nicotine replacement therapy and vapor products) to Niconovum USA, RJ Reynolds Vapor Company, and RAI Services Company, all subsidiaries of Reynolds American Inc. SS and JGG also hold a patent for a novel nicotine medication that has not been developed or commercialized.
  6 in total

1.  Use of smoking-cessation treatments in the United States.

Authors:  Saul Shiffman; Sarah E Brockwell; Janine L Pillitteri; Joseph G Gitchell
Journal:  Am J Prev Med       Date:  2008-02       Impact factor: 5.043

2.  Confounding by indication.

Authors:  A M Walker
Journal:  Epidemiology       Date:  1996-07       Impact factor: 4.822

3.  Smoking Cessation Pharmacotherapy, Even Without Counseling, Remains a Cornerstone of Treatment.

Authors:  Hilary A Tindle; Robert A Greevy
Journal:  J Natl Cancer Inst       Date:  2018-06-01       Impact factor: 13.506

4.  The need for randomization in the study of intended effects.

Authors:  O S Miettinen
Journal:  Stat Med       Date:  1983 Apr-Jun       Impact factor: 2.373

5.  The efficacy of computer-tailored smoking cessation material as a supplement to nicotine polacrilex gum therapy.

Authors:  S Shiffman; J A Paty; J M Rohay; M E Di Marino; J Gitchell
Journal:  Arch Intern Med       Date:  2000-06-12

6.  Effectiveness of Pharmaceutical Smoking Cessation Aids in a Nationally Representative Cohort of American Smokers.

Authors:  Eric C Leas; John P Pierce; Tarik Benmarhnia; Martha M White; Madison L Noble; Dennis R Trinidad; David R Strong
Journal:  J Natl Cancer Inst       Date:  2018-06-01       Impact factor: 13.506

  6 in total
  1 in total

1.  Role of e-cigarettes and pharmacotherapy during attempts to quit cigarette smoking: The PATH Study 2013-16.

Authors:  John P Pierce; Tarik Benmarhnia; Ruifeng Chen; Martha White; David B Abrams; Bridget K Ambrose; Carlos Blanco; Nicolette Borek; Kelvin Choi; Blair Coleman; Wilson M Compton; K Michael Cummings; Cristine D Delnevo; Tara Elton-Marshall; Maciej L Goniewicz; Shannon Gravely; Geoffrey T Fong; Dorothy Hatsukami; James Henrie; Karin A Kasza; Sheila Kealey; Heather L Kimmel; Jean Limpert; Raymond S Niaura; Carolina Ramôa; Eva Sharma; Marushka L Silveira; Cassandra A Stanton; Michael B Steinberg; Ethel Taylor; Maansi Bansal-Travers; Dennis R Trinidad; Lisa D Gardner; Andrew Hyland; Samir Soneji; Karen Messer
Journal:  PLoS One       Date:  2020-09-02       Impact factor: 3.240

  1 in total

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