Strassmann, R; Bausch, B; Spaar, A; Kleijnen, J; Braendli, O; Puhan, M A (2009). Smoking cessation interventions in COPD: a network meta-analysis of randomised trials. European Respiratory Journal, 34(3):634-640.
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The aim of this study was to rank order the effectiveness of smoking cessation interventions for chronic obstructive pulmonary disease (COPD) patients. We searched 10 databases to identify randomised trials of smoking cessation counselling (SCC) with or without pharmacotherapy or nicotine replacement therapy (NRT). We conducted a network meta-analysis using logistic regression analyses to assess the comparative effectiveness of smoking cessation interventions while preserving randomisation of each trial. The analysis of 7,372 COPD patients from six out of eight identified trials showed that SCC in combination with NRT had the greatest effect on prolonged abstinence rates versus usual care (OR 5.08, p<0.0001) versus SCC alone (2.80, p = 0.001) and versus SCC combined with an antidepressant (1.53, p = 0.28). The second most effective intervention was SCC combined with an antidepressant (3.32, p = 0.002) versus SCC alone (1.83, p = 0.007), with no difference between antidepressants. SCC alone was of borderline superiority compared with usual care (1.81, p = 0.07). A small body of evidence suggests that SCC combined with NRT is more effective than other combinations and single smoking cessation treatments in COPD, but substantially more research is needed for this most important COPD treatment.
|Item Type:||Journal Article, refereed, original work|
|Communities & Collections:||04 Faculty of Medicine > University Hospital Zurich > Clinic and Policlinic for Internal Medicine|
04 Faculty of Medicine > The Horten-Center for Applied Research and Science
|DDC:||610 Medicine & health|
|Deposited On:||01 Mar 2010 15:47|
|Last Modified:||27 Nov 2013 21:06|
|Publisher:||European Respiratory Society|
|Free access at:||Publisher DOI. An embargo period may apply.|
|Citations:||Web of Science®. Times Cited: 20|
Scopus®. Citation Count: 34
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