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Network Meta-analysis of Behavioral Programs for Smoking Quit in Healthy People

  • Author Footnotes
    # Meng Xu and Kangle Guo are co-first authors.
    Meng Xu
    Footnotes
    # Meng Xu and Kangle Guo are co-first authors.
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
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  • Author Footnotes
    # Meng Xu and Kangle Guo are co-first authors.
    Kangle Guo
    Footnotes
    # Meng Xu and Kangle Guo are co-first authors.
    Affiliations
    Gansu Provincial Hospital, Lanzhou, 730000, China
    Search for articles by this author
  • Xue Shang
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Liying Zhou
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Fenfen E
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Chaoqun Yang
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Yanan Wu
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Xiuxia Li
    Correspondence
    Corresponding author: Xiuxia Li: Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, No. 199 Donggang West Road, Lanzhou 730000, China
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Kehu Yang
    Correspondence
    Co-corresponding author: Kehu Yang: Evidence Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, No. 199 Donggang West Road, Lanzhou 730000, China
    Affiliations
    Health Technology Assessment Center/Evidence-Based Social Science Research Center, School of Public Health, Lanzhou University, Lanzhou, 730000, China

    Evidence-Based Medicine Center, School of Basic Medical Sciences, Lanzhou University, Lanzhou, 730000, China

    Key Laboratory of Evidence Based Medicine and Knowledge Translation of Gansu Province, Lanzhou, 730000, China
    Search for articles by this author
  • Author Footnotes
    # Meng Xu and Kangle Guo are co-first authors.

      Abstract

      Introduction

      : Smoking is a risk factor for most chronic diseases and premature death, with a global prevalence more than 1 billion people who smoke. This network meta-analysis (NMA) aimed to investigate the effect of different behavioral interventions on smoking cessation.

      Methods

      : Four electronic databases were searched for randomized controlled trials (RCTs) from inception to 29th August 2022. The risk of bias for the included RCTs was evaluated using the revised version of Cochrane tool for assessing risk of bias, and the certainty of evidence using the Grading of Recommendations, Assessment, Development, and Evaluation approach. The network meta-analysis was performed using Stata 16SE and R 4.1.3 software.

      Results

      : A total of 119 included RCTs enrolled 118,935 patients. For the 7-day-point prevalence abstinence rate, compared with brief advice, video counseling had the best intervention effect, followed by financial incentive, self-help materials plus telephone counseling, motivational interview, health education, telephone counseling and text messages. For the 30-day-point prevalence abstinence rate, face-to-face cognitive education and financial incentives were superior to brief advice. For the continuous abstinence rate, compared with brief advice, motivational interview and financial incentive were more effective. The certainty of evidence was very low to moderate for these outcomes.

      Discussion

      : From the results of the NMA, different behavioral interventions resulted in positive effects in smoking cessation compared with brief advice, especially video counseling, face-to-face cognitive education and motivational interviews. Due to the poor quality of evidence, high-quality trials should be conducted in the future to provide more robust evidence.

      Keywords

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      References

      1. Spatial, temporal, and demographic patterns in prevalence of smoking tobacco use and attributable disease burden in 204 countries and territories, 1990-2019: a systematic analysis from the Global Burden of Disease Study 2019.
        Lancet. 2021; 397: 2337-2360
        • Shah NR
        • Bracken MB.
        A systematic review and meta-analysis of prospective studies on the association between maternal cigarette smoking and preterm delivery.
        Am J Obstet Gynecol. 2000; 182: 465-472
        • Samet JM.
        Smoking bans prevent heart attacks.
        Circulation. 2006; 114: 1450-1451
        • Taylor R
        • Cumming R
        • Woodward A
        • Black M.
        Passive smoking and lung cancer: a cumulative meta-analysis.
        Aust N Z J Public Health. 2001; 25: 203-211
        • Courtney RJ
        • McRobbie H
        • Tutka P
        • et al.
        Effect of Cytisine vs Varenicline on Smoking Cessation: A Randomized Clinical Trial.
        Jama. 2021; 326: 56-64
      2. Tobacco: preventing uptake, promoting quitting and treating dependence. National Institute for Health and Care Excellence. https://www.nice.org.uk/guidance/ng209/resources/tobacco-preventing-uptake-promoting-quitting-and-treating-dependence-pdf-66143723132869. Published: 30 November 2021. Accessed October 8, 2022.

        • Somerville LH
        • Jones RM
        • Casey BJ.
        A time of change: behavioral and neural correlates of adolescent sensitivity to appetitive and aversive environmental cues.
        Brain Cogn. 2010; 72: 124-133
        • Richards JM
        • Plate RC
        • Ernst M.
        Neural systems underlying motivated behavior in adolescence: implications for preventive medicine.
        Prev Med. 2012; 55 (Suppl(Suppl): S7-s16
        • Krishnan-Sarin S
        • Cavallo DA
        • Cooney JL
        • et al.
        An exploratory randomized controlled trial of a novel high-school-based smoking cessation intervention for adolescent smokers using abstinence-contingent incentives and cognitive behavioral therapy.
        Drug Alcohol Depend. 2013; 132: 346-351
        • Matkin W
        • Ordóñez-Mena JM
        • Hartmann-Boyce J.
        Telephone counselling for smoking cessation.
        Cochrane Database Syst Rev. 2019; 5Cd002850
        • Li X
        • Li Y
        • Guo K
        • et al.
        Evidence Based Social Science in China Paper 3: The quality of social science RCTs published from 2000-2020.
        J Clin Epidemiol. 2022; 141: 64-73
        • Lancaster T
        • Stead LF.
        Individual behavioural counselling for smoking cessation.
        Cochrane Database Syst Rev. 2005; Cd001292
        • White IR.
        Network Meta-analysis.
        The Stata Journal. 2015; 15: 951-985
        • Rouse B
        • Chaimani A
        • Li T.
        Network meta-analysis: an introduction for clinicians.
        Intern Emerg Med. 2017; 12: 103-111
        • Gao Y
        • Ge L
        • Ma X
        • Shen X
        • Liu M
        • Tian J.
        Improvement needed in the network geometry and inconsistency of Cochrane network meta-analyses: a cross-sectional survey.
        J Clin Epidemiol. 2019; 113: 214-227
        • Hutton B
        • Catalá-López F
        • Moher D.
        [The PRISMA statement extension for systematic reviews incorporating network meta-analysis: PRISMA-NMA].
        Med Clin (Barc). 2016; 147: 262-266
        • Page MJ
        • McKenzie JE
        • Bossuyt PM
        • et al.
        The PRISMA 2020 statement: an updated guideline for reporting systematic reviews.
        Bmj. 2021; 372: n71
        • Hettema JE
        • Hendricks PS.
        Motivational interviewing for smoking cessation: a meta-analytic review.
        J Consult Clin Psychol. 2010; 78: 868-884
        • Ouzzani M
        • Hammady H
        • Fedorowicz Z
        • Elmagarmid A.
        Rayyan-a web and mobile app for systematic reviews.
        Syst Rev. 2016; 5: 210
        • Piper ME
        • Bullen C
        • Krishnan-Sarin S
        • et al.
        Defining and Measuring Abstinence in Clinical Trials of Smoking Cessation Interventions: An Updated Review.
        Nicotine Tob Res. 2020; 22: 1098-1106
        • Sterne JAC
        • Savović J
        • Page MJ
        • et al.
        RoB 2: a revised tool for assessing risk of bias in randomised trials.
        Bmj. 2019; 366: l4898
        • Turrini G
        • Tedeschi F
        • Cuijpers P
        • et al.
        A network meta-analysis of psychosocial interventions for refugees and asylum seekers with PTSD.
        BMJ Glob Health. 2021; 6
        • Nikolakopoulou A
        • Higgins JPT
        • Papakonstantinou T
        • et al.
        CINeMA: An approach for assessing confidence in the results of a network meta-analysis.
        PLoS Med. 2020; 17e1003082
        • Papakonstantinou T
        • Nikolakopoulou A
        • Higgins JPT
        • Egger M
        • Salanti G.
        CINeMA: Software for semiautomated assessment of the confidence in the results of network meta-analysis.
        Campbell Systematic Reviews. 2020; 16
        • Yao L
        • Sun R
        • Chen YL
        • et al.
        The quality of evidence in Chinese meta-analyses needs to be improved.
        J Clin Epidemiol. 2016; 74: 73-79
        • Salanti G
        • Del Giovane C
        • Chaimani A
        • Caldwell DM
        • Higgins JP.
        Evaluating the quality of evidence from a network meta-analysis.
        PLoS One. 2014; 9: e99682
        • Chaimani A
        • Higgins JP
        • Mavridis D
        • Spyridonos P
        • Salanti G.
        Graphical tools for network meta-analysis in STATA.
        PLoS One. 2013; 8: e76654
        • Salanti G
        • Ades AE
        • Ioannidis JP.
        Graphical methods and numerical summaries for presenting results from multiple-treatment meta-analysis: an overview and tutorial.
        J Clin Epidemiol. 2011; 64: 163-171
      3. Cochrane Handbook for Systematic Reviews of Interventions. .Accessed July 9, 2022. https://training.cochrane.org/handbook/current

        • Higgins JP
        • Thompson SG
        • Deeks JJ
        • Altman DG.
        Measuring inconsistency in meta-analyses.
        Bmj. 2003; 327: 557-560
        • Byaruhanga J
        • Atorkey P
        • McLaughlin M
        • et al.
        Effectiveness of Individual Real-Time Video Counseling on Smoking, Nutrition, Alcohol, Physical Activity, and Obesity Health Risks: Systematic Review.
        J Med Internet Res. 2020; 22: e18621
        • Lancaster T
        • Stead LF.
        Individual behavioural counselling for smoking cessation.
        Cochrane Database Syst Rev. 2017; 3Cd001292
        • Chen Y
        • Yang K
        • Jing T
        • et al.
        Use of text messages to communicate clinical recommendations to health workers in rural China: a cluster-randomized trial.
        Bull World Health Organ. 2014; 92: 474-481
        • Hartmann-Boyce J
        • Livingstone-Banks J
        • Ordóñez-Mena JM
        • et al.
        Behavioural interventions for smoking cessation: an overview and network meta-analysis.
        Cochrane Database Syst Rev. 2021; 1Cd013229
        • Doggrell SA.
        Which is the best primary medication for long-term smoking cessation–nicotine replacement therapy, bupropion or varenicline?.
        Expert Opin Pharmacother. 2007; 8: 2903-2915
        • Tashkin DP.
        Smoking Cessation in Chronic Obstructive Pulmonary Disease.
        Semin Respir Crit Care Med. 2015; 36: 491-507