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The STATA 15.1 software was used to perform network meta\u2010analysis. The Cochrane bias risk tool was used to assess the risk of bias, and CINeMA was used to evaluate the evidence credibility for the effect of different interventions on smoking cessation. In all, 107 RCTs involving 42\u2009744 patients were included. Seven studies were rated as having a low risk of bias. All trials reported 18 interventions and 153 pairwise comparisons were generated. The network meta\u2010analysis showed that compared with placebo, varenicline\u2009+\u2009bupropion (OR\u2009=\u20093.53, 95% CI [2.34, 5.34]), selegiline\u2009+\u2009nicotine replacement therapy (NRT) (OR\u2009=\u20093.78, 95% CI [1.20, 11.92]), nortriptyline\u2009+\u2009NRT (OR\u2009=\u20092.33, 95% CI [1.21, 4.47), nortriptyline (OR\u2009=\u20091.58, 95% CI [1.11,2.26]), naltrexone\u2009+\u2009bupropion (OR\u2009=\u20093.84, 95% CI [1.39, 10.61]), bupropion\u2009+\u2009NRT (OR\u2009=\u20092.29, 95% CI [1.87, 2.81]) and bupropion (OR\u2009=\u20091.70, 95% CI [1.53, 1.89]) showed benefits with respect to smoking cessation. In addition, bupropion\u2009+\u2009NRT showed better effects than bupropion (OR\u2009=\u20091.35, 95% CI [1.12, 1.64]) and NRT (OR\u2009=\u20091.38, 95% CI [1.13, 1.69]) alone. The final cumulative ranking curve showed that varenicline\u2009+\u2009bupropion was the most likely to be the best intervention. There was moderate\u2010 to very\u2010low\u2010certainty evidence that most interventions showed benefits for smoking cessation compared with placebo, including monotherapy and combination therapies. Varenicline\u2009+\u2009bupropion had a higher probability of being the best intervention for smoking cessation.<\/jats:p>","DOI":"10.1111\/adb.13303","type":"journal-article","created":{"date-parts":[[2023,7,19]],"date-time":"2023-07-19T13:21:37Z","timestamp":1689772897000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Efficacy and safety of antidepressants for smoking cessation: A systematic review and network meta\u2010analysis"],"prefix":"10.1111","volume":"28","author":[{"given":"Xinxin","family":"Deng","sequence":"first","affiliation":[{"name":"Health Technology Assessment Center\/Evidence\u2010Based Social Science Research Center, School of Public Health Lanzhou University  Lanzhou China"},{"name":"Evidence\u2010Based Medicine Center, School of Basic Medical Sciences Lanzhou University  Lanzhou China"},{"name":"Key Laboratory of Evidence\u2010Based Medicine and Knowledge Translation of Gansu Province  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