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Nicotine receptor partial agonists for smoking cessation 2012 Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. kate.cahill@phc.ox.ac.uk.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
18-Apr
Volume
(4):CD006103. doi
Issue
4
Start Page
CD006103
Other Pages
Notes
LR: 20160608; GR: Department of Health/United Kingdom; JID: 100909747; 0 (Alkaloids); 0 (Azepines); 0 (Azocines); 0 (Benzazepines); 0 (Heterocyclic Compounds with 4 or More Rings); 0 (Nicotinic Agonists); 0 (Quinolizines); 0 (Quinoxalines); 01ZG3TPX31 (Bu
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 22513936
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD006103.pub6 [doi]
Output Language
Unknown(0)
PMID
22513936
Abstract
BACKGROUND: Nicotine receptor partial agonists may help people to stop smoking by a combination of maintaining moderate levels of dopamine to counteract withdrawal symptoms (acting as an agonist) and reducing smoking satisfaction (acting as an antagonist). OBJECTIVES: The primary objective of this review is to assess the efficacy and tolerability of nicotine receptor partial agonists, including cytisine, dianicline and varenicline for smoking cessation. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group's specialised register for trials, using the terms ('cytisine' or 'Tabex' or 'dianicline' or 'varenicline' or 'nicotine receptor partial agonist') in the title or abstract, or as keywords. The register is compiled from searches of MEDLINE, EMBASE, PsycINFO and Web of Science using MeSH terms and free text to identify controlled trials of interventions for smoking cessation and prevention. We contacted authors of trial reports for additional information where necessary. The latest update of the specialised register was in December 2011. We also searched online clinical trials registers. SELECTION CRITERIA: We included randomized controlled trials which compared the treatment drug with placebo. We also included comparisons with bupropion and nicotine patches where available. We excluded trials which did not report a minimum follow-up period of six months from start of treatment. DATA COLLECTION AND ANALYSIS: We extracted data on the type of participants, the dose and duration of treatment, the outcome measures, the randomization procedure, concealment of allocation, and completeness of follow-up.The main outcome measured was abstinence from smoking at longest follow-up. We used the most rigorous definition of abstinence, and preferred biochemically validated rates where they were reported. Where appropriate we pooled risk ratios (RRs), using the Mantel-Haenszel fixed-effect model. MAIN RESULTS: Two recent cytisine trials (937 people) found that more participants taking cytisine stopped smoking compared with placebo at longest follow-up, with a pooled RR of 3.98 (95% confidence interval (CI) 2.01 to 7.87). One trial of dianicline (602 people) failed to find evidence that it was effective (RR 1.20, 95% CI 0.82 to 1.75). Fifteen trials compared varenicline with placebo for smoking cessation; three of these also included a bupropion treatment arm. We also found one open-label trial comparing varenicline plus counselling with counselling alone. We found one relapse prevention trial, comparing varenicline with placebo, and two open-label trials comparing varenicline with nicotine replacement therapy (NRT). We also include one trial in which all the participants were given varenicline, but received behavioural support either online or by phone calls, or by both methods. This trial is not included in the analyses, but contributes to the data on safety and tolerability. The included studies covered 12,223 participants, 8100 of whom used varenicline.The pooled RR for continuous or sustained abstinence at six months or longer for varenicline at standard dosage versus placebo was 2.27 (95% CI 2.02 to 2.55; 14 trials, 6166 people, excluding one trial evaluating long term safety). Varenicline at lower or variable doses was also shown to be effective, with an RR of 2.09 (95% CI 1.56 to 2.78; 4 trials, 1272 people). The pooled RR for varenicline versus bupropion at one year was 1.52 (95% CI 1.22 to 1.88; 3 trials, 1622 people). The RR for varenicline versus NRT for point prevalence abstinence at 24 weeks was 1.13 (95% CI 0.94 to 1.35; 2 trials, 778 people). The two trials which tested the use of varenicline beyond the 12-week standard regimen found the drug to be well-tolerated during long-term use. The main adverse effect of varenicline was nausea, which was mostly at mild to moderate levels and usually subsided over time. A meta-analysis of reported serious adverse events occurring during or after active treatment and not necessa
Descriptors
Links
Book Title
Database
Publisher
Data Source
Authors
Cahill,K., Stead,L.F., Lancaster,T.
Original/Translated Title
URL
Date of Electronic
20120418
PMCID
Editors
Combined pharmacotherapy and behavioural interventions for smoking cessation 2012 Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. lindsay.stead@phc.ox.ac.uk.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
17-Oct
Volume
10
Issue
Start Page
CD008286
Other Pages
Notes
LR: 20160412; JID: 100909747; UIN: Cochrane Database Syst Rev. 2016;3:CD008286. PMID: 27009521; epublish
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 23076944
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD008286.pub2 [doi]
Output Language
Unknown(0)
PMID
23076944
Abstract
BACKGROUND: Both behavioural support (including brief advice and counselling) and pharmacotherapies (including nicotine replacement therapy (NRT), varenicline and bupropion) are effective in helping people to stop smoking. Combining both treatment approaches is recommended where possible, but the size of the treatment effect with different combinations and in different settings and populations is unclear. OBJECTIVES: To assess the effect of combining behavioural support and medication to aid smoking cessation, compared to a minimal intervention or usual care, and to identify whether there are different effects depending on characteristics of the treatment setting, intervention, population treated, or take-up of treatment. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group Specialised Register in July 2012 for records with any mention of pharmacotherapy, including any type of NRT, bupropion, nortriptyline or varenicline. SELECTION CRITERIA: Randomized or quasi-randomized controlled trials evaluating combinations of pharmacotherapy and behavioural support for smoking cessation, compared to a control receiving usual care or brief advice or less intensive behavioural support. We excluded trials recruiting only pregnant women, trials recruiting only adolescents, and trials with less than six months follow-up. DATA COLLECTION AND ANALYSIS: Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by both authors. Data was extracted by one author and checked by the other.The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically validated rates if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model. MAIN RESULTS: Forty-one studies with a total of more than 20,000 participants met the inclusion criteria. A large proportion of studies recruited people in healthcare settings or with specific health needs. Most studies provided NRT. Behavioural support was typically provided by specialists in cessation counselling, who offered between four and eight contact sessions. The planned maximum duration of contact was typically more than 30 minutes but less than 300 minutes. Overall, studies were at low or unclear risk of bias, and findings were not sensitive to the exclusion of any of the three studies rated at high risk of bias in one domain. One large study (the Lung Health Study) contributed heterogeneity due to a substantially larger treatment effect than seen in other studies (RR 3.88, 95% CI 3.35 to 4.50). Since this study used a particularly intensive intervention which included extended availability of nicotine gum, multiple group sessions and long term maintenance and recycling contacts, the results may not be comparable with the interventions used in other studies, and hence it was not pooled in other analyses. Based on the remaining 40 studies (15,021 participants) there was good evidence for a benefit of combination pharmacotherapy and behavioural treatment compared to usual care or brief advice or less intensive behavioural support (RR 1.82, 95% CI 1.66 to 2.00) with moderate statistical heterogeneity (I(2) = 40%). The pooled estimate for 31 trials that recruited participants in healthcare settings (RR 2.06, 95% CI 1.81 to 2.34) was higher than for eight trials with community-based recruitment (RR 1.53, 95% CI 1.33 to 1.76). Pooled estimates were lower in a subgroup of trials where the behavioural intervention was provided by specialist counsellors versus trials where counselling was linked to usual care (specialist: RR 1.73, 95% CI 1.55 to 1.93, 28 trials; usual provider: RR 2.41, 95% CI 1.91 to 3.02, 8 trials) but this was largely attributable to the small effect size in two trials using specialist counsellors wher
Descriptors
Links
Book Title
Database
Publisher
Data Source
Authors
Stead,L.F., Lancaster,T.
Original/Translated Title
URL
Date of Electronic
20121017
PMCID
Editors
Interventions for preventing weight gain after smoking cessation 2012 Primary Care Clinical Sciences, University of Birmingham, Birmingham, UK.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
18-Jan
Volume
1
Issue
Start Page
CD006219
Other Pages
Notes
LR: 20151119; JID: 100909747; 0 (Antidepressive Agents); 0 (Benzazepines); 0 (Nicotinic Agonists); 0 (Piperidines); 0 (Pyrazoles); 0 (Quinoxalines); 6M3C89ZY6R (Nicotine); epublish
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 22258966
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD006219.pub3 [doi]
Output Language
Unknown(0)
PMID
22258966
Abstract
BACKGROUND: Most people who stop smoking gain weight. There are some interventions that have been designed to reduce weight gain when stopping smoking. Some smoking cessation interventions may also limit weight gain although their effect on weight has not been reviewed. OBJECTIVES: To systematically review the effect of: (1) Interventions targeting post-cessation weight gain on weight change and smoking cessation.(2) Interventions designed to aid smoking cessation that may also plausibly affect weight on post-cessation weight change. SEARCH METHODS: Part 1 - We searched the Cochrane Tobacco Addiction Group's Specialized Register and CENTRAL in September 2011.Part 2 - In addition we searched the included studies in the following "parent" Cochrane reviews: nicotine replacement therapy (NRT), antidepressants, nicotine receptor partial agonists, cannabinoid type 1 receptor antagonists and exercise interventions for smoking cessation published in Issue 9, 2011 of the Cochrane Library. SELECTION CRITERIA: Part 1 - We included trials of interventions that were targeted at post-cessation weight gain and had measured weight at any follow up point and/or smoking cessation six or more months after quit day.Part 2 - We included trials that had been included in the selected parent Cochrane reviews if they had reported weight gain at any time point. DATA COLLECTION AND ANALYSIS: We extracted data on baseline characteristics of the study population, intervention, outcome and study quality. Change in weight was expressed as difference in weight change from baseline to follow up between trial arms and was reported in abstinent smokers only. Abstinence from smoking was expressed as a risk ratio (RR). We used the most rigorous definition of abstinence available in each trial. Where appropriate, we performed meta-analysis using the inverse variance method for weight and Mantel-Haenszel method for smoking using a fixed-effect model. MAIN RESULTS: Part 1: Some pharmacological interventions tested for limiting post cessation weight gain (PCWG) resulted in a significant reduction in WG at the end of treatment (dexfenfluramine (Mean difference (MD) -2.50 kg, 95% confidence interval (CI) -2.98 to -2.02, 1 study), phenylpropanolamine (MD -0.50 kg, 95% CI -0.80 to -0.20, N=3), naltrexone (MD -0.78 kg, 95% CI -1.52 to -0.05, N=2). There was no evidence that treatment reduced weight at 6 or 12 months (m). No pharmacological intervention significantly affected smoking cessation rates.Weight management education only was associated with no reduction in PCWG at end of treatment (6 or 12m). However these interventions significantly reduced abstinence at 12m (Risk ratio (RR) 0.66, 95% CI 0.48 to 0.90, N=2). Personalised weight management support reduced PCWG at 12m (MD -2.58 kg, 95% CI -5.11 to -0.05, N=2) and was not associated with a significant reduction of abstinence at 12m (RR 0.74, 95% CI 0.39 to 1.43, N=2). A very low calorie diet (VLCD) significantly reduced PCWG at end of treatment (MD -3.70 kg, 95% CI -4.82 to -2.58, N=1), but not significantly so at 12m (MD -1.30 kg, 95% CI -3.49 to 0.89, N=1). The VLCD increased chances of abstinence at 12m (RR 1.73, 95% CI 1.10 to 2.73, N=1). There was no evidence that cognitive behavioural therapy to allay concern about weight gain (CBT) reduced PCWG, but there was some evidence of increased PCWG at 6m (MD 0.74, 95% CI 0.24 to 1.24). It was associated with improved abstinence at 6m (RR 1.83, 95% CI 1.07 to 3.13, N=2) but not at 12m (RR 1.25, 95% CI 0.83 to 1.86, N=2). However, there was significant statistical heterogeneity.Part 2: We found no evidence that exercise interventions significantly reduced PCWG at end of treatment (MD -0.25 kg, 95% CI -0.78 to 0.29, N=4) however a significant reduction was found at 12m (MD -2.07 kg, 95% CI -3.78 to -0.36, N=3).Both bupropion and fluoxetine limited PCWG at the end of treatment (bupropion MD -1.12 kg, 95% CI -1.47 to -0.77, N=7) (fluoxetine MD -0.99 kg, 95% CI -1.36 to -
Descriptors
Links
Book Title
Database
Publisher
Data Source
Authors
Farley,A.C., Hajek,P., Lycett,D., Aveyard,P.
Original/Translated Title
URL
Date of Electronic
20120118
PMCID
Editors
Nicotine replacement therapy for smoking cessation 2012 Department of Primary Care Health Sciences, University of Oxford,Oxford,UK. lindsay.stead@phc.ox.ac.uk.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
14-Nov
Volume
11
Issue
Start Page
CD000146
Other Pages
Notes
LR: 20151119; JID: 100909747; 0 (Chewing Gum); 0 (Nicotinic Agonists); 0 (Tablets); 6M3C89ZY6R (Nicotine); epublish
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 23152200
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD000146.pub4 [doi]
Output Language
Unknown(0)
PMID
23152200
Abstract
BACKGROUND: The aim of nicotine replacement therapy (NRT) is to temporarily replace much of the nicotine from cigarettes to reduce motivation to smoke and nicotine withdrawal symptoms, thus easing the transition from cigarette smoking to complete abstinence. OBJECTIVES: The aims of this review were: To determine the effect of NRT compared to placebo in aiding smoking cessation, and to consider whether there is a difference in effect for the different forms of NRT (chewing gum, transdermal patches, oral and nasal sprays, inhalers and tablets/lozenges) in achieving abstinence from cigarettes. To determine whether the effect is influenced by the dosage, form and timing of use of NRT; the intensity of additional advice and support offered to the smoker; or the clinical setting in which the smoker is recruited and treated. To determine whether combinations of NRT are more likely to lead to successful quitting than one type alone. To determine whether NRT is more or less likely to lead to successful quitting compared to other pharmacotherapies. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group trials register for papers mentioning 'NRT' or any type of nicotine replacement therapy in the title, abstract or keywords. Date of most recent search July 2012. SELECTION CRITERIA: Randomized trials in which NRT was compared to placebo or to no treatment, or where different doses of NRT were compared. We excluded trials which did not report cessation rates, and those with follow-up of less than six months. DATA COLLECTION AND ANALYSIS: We extracted data in duplicate on the type of participants, the dose, duration and form of nicotine therapy, the outcome measures, method of randomization, and completeness of follow-up. The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically validated rates if available. We calculated the risk ratio (RR) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model. MAIN RESULTS: We identified 150 trials; 117 with over 50,000 participants contributed to the primary comparison between any type of NRT and a placebo or non-NRT control group. The risk ratio (RR) of abstinence for any form of NRT relative to control was 1.60 (95% confidence interval [CI] 1.53 to 1.68). The pooled RRs for each type were 1.49 (95% CI 1.40 to 1.60, 55 trials) for nicotine gum; 1.64 (95% CI 1.52 to 1.78, 43 trials) for nicotine patch; 1.95 (95% CI 1.61 to 2.36, 6 trials) for oral tablets/lozenges; 1.90 (95% CI 1.36 to 2.67, 4 trials) for nicotine inhaler; and 2.02 (95% CI 1.49 to 2.73, 4 trials) for nicotine nasal spray. One trial of oral spray had an RR of 2.48 (95% CI 1.24 to 4.94). The effects were largely independent of the duration of therapy, the intensity of additional support provided or the setting in which the NRT was offered. The effect was similar in a small group of studies that aimed to assess use of NRT obtained without a prescription. In highly dependent smokers there was a significant benefit of 4 mg gum compared with 2 mg gum, but weaker evidence of a benefit from higher doses of patch. There was evidence that combining a nicotine patch with a rapid delivery form of NRT was more effective than a single type of NRT (RR 1.34, 95% CI 1.18 to 1.51, 9 trials). The RR for NRT used for a short period prior to the quit date was 1.18 (95% CI 0.98 to 1.40, 8 trials), just missing statistical significance, though the efficacy increased when we pooled only patch trials and when we removed one trial in which confounding was likely. Five studies directly compared NRT to a non-nicotine pharmacotherapy, bupropion; there was no evidence of a difference in efficacy (RR 1.01; 95% CI 0.87 to 1.18). A combination of NRT and bupropion was more effective than bupropion alone (RR 1.24; 95% CI 1.06 to 1.45, 4 trials). Adverse effects from using NRT are related to th
Descriptors
Links
Book Title
Database
Publisher
Data Source
Authors
Stead,L.F., Perera,R., Bullen,C., Mant,D., Hartmann-Boyce,J., Cahill,K., Lancaster,T.
Original/Translated Title
URL
Date of Electronic
20121114
PMCID
Editors
Behavioural interventions as adjuncts to pharmacotherapy for smoking cessation 2012 Department of Primary Care Health Sciences, University of Oxford, Oxford, UK. lindsay.stead@phc.ox.ac.uk.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
12-Dec
Volume
12
Issue
Start Page
CD009670
Other Pages
Notes
LR: 20151119; JID: 100909747; 0 (Antidepressive Agents); 0 (Benzazepines); 0 (Nicotinic Agonists); 0 (Quinoxalines); 01ZG3TPX31 (Bupropion); BL03SY4LXB (Nortriptyline); W6HS99O8ZO (Varenicline); UIN: Cochrane Database Syst Rev. 2015;10:CD009670. PMID: 264
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 23235680
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD009670.pub2 [doi]
Output Language
Unknown(0)
PMID
23235680
Abstract
BACKGROUND: Effective pharmacotherapies are available to help people who are trying to stop smoking, but quitting can still be difficult and providing higher levels of behavioural support may increase success rates further. OBJECTIVES: To evaluate the effect of increasing the intensity of behavioural support for people using smoking cessation medications, and to assess whether there are different effects depending on the type of pharmacotherapy, or the amount of support in each condition. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group Specialised Register in July 2012 for records with any mention of pharmacotherapy, including any type of NRT, bupropion, nortriptyline or varenicline that evaluated the addition of personal support or compared two or more intensities of behavioural support. SELECTION CRITERIA: Randomized or quasi-randomized controlled trials in which all participants received pharmacotherapy for smoking cessation and conditions differed by the amount of behavioural support. Controls could receive less intensive personal contact, or just written information. We did not include studies that used a contact matched control to evaluate differences between types or components of support. We excluded trials recruiting only pregnant women, trials recruiting only adolescents, and trials with less than six months follow-up. DATA COLLECTION AND ANALYSIS: Search results were prescreened by one author and inclusion or exclusion of potentially relevant trials was agreed by both authors. Data were extracted by one author and checked by the other.The main outcome measure was abstinence from smoking after at least six months of follow-up. We used the most rigorous definition of abstinence for each trial, and biochemically validated rates if available. We calculated the risk ratio (RR) and 95% confidence interval (CI) for each study. Where appropriate, we performed meta-analysis using a Mantel-Haenszel fixed-effect model. MAIN RESULTS: Thirty-eight studies met the inclusion criteria with over 15,000 participants in the relevant arms. There was very little evidence of statistical heterogeneity (I(2) = 3%) so all studies were pooled in the main analysis. There was evidence of a small but statistically significant benefit from more intensive support (RR 1.16, 95% CI 1.09 to 1.24) for abstinence at longest follow-up. All but two of the included studies provided four or more sessions of support. Most trials used nicotine replacement therapy. Significant effects were not detected for studies where the pharmacotherapy was nortriptyline (two trials) or varenicline (one trial), but this reflects the absence of evidence. In subgroup analyses, studies that provided at least four sessions of personal contact for the intervention and no personal contact for the control had slightly larger effects (six trials, RR 1.25, 95% CI 1.08 to 1.45), as did studies where all intervention counselling was via telephone (six trials, RR 1.28, 95% CI 1.17 to 1.41). Weaker evidence for a benefit of providing additional behavioural support was seen in the trials where all participants, including those in the control condition, had at least 30 minutes of personal contact (18 trials, RR 1.11, 95% CI 0.99 to 1.25). None of the differences between subgroups were significant, and the last two subgroup analyses were not prespecified. No trials were judged at high risk of bias on any domain. AUTHORS' CONCLUSIONS: Providing behavioural support in person or via telephone for people using pharmacotherapy to stop smoking has a small but important effect. Increasing the amount of behavioural support is likely to increase the chance of success by about 10 to 25%, based on a pooled estimate from 38 trials. A subgroup analysis of a small number of trials suggests the benefit could be a little greater when the contrast is between a no contact control and a behavioural intervention that provides at least four sessions of contact. Subgroup analysis also suggest
Descriptors
Links
Book Title
Database
Publisher
Data Source
Authors
Stead,L.F., Lancaster,T.
Original/Translated Title
URL
Date of Electronic
20121212
PMCID
Editors
Interventions for tobacco cessation in the dental setting 2012 Department of Dental Specialities, Mayo Clinic, Rochester, USA.Carr.Alan@mayo.edu.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
13-Jun
Volume
(6):CD005084. doi
Issue
6
Start Page
CD005084
Other Pages
Notes
LR: 20160602; GR: 1R21DE016024/DE/NIDCR NIH HHS/United States; GR: R01 CA096881/CA/NCI NIH HHS/United States; GR: R21 DE016024/DE/NIDCR NIH HHS/United States; JID: 100909747; NIHMS548637; OID: NLM: NIHMS548637; OID: NLM: PMC3916957; epublish
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 22696348
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, N.I.H., Extramural; Review; IM
DOI
10.1002/14651858.CD005084.pub3 [doi]
Output Language
Unknown(0)
PMID
22696348
Abstract
BACKGROUND: Tobacco use has significant adverse effects on oral health. Oral health professionals in the dental office or community setting have a unique opportunity to increase tobacco abstinence rates among tobacco users. OBJECTIVES: This review assesses the effectiveness of interventions for tobacco cessation delivered by oral health professionals and offered to cigarette smokers and smokeless tobacco users in the dental office or community setting. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group Specialized Register (CENTRAL), MEDLINE (1966-November 2011), EMBASE (1988-November 2011), CINAHL (1982-November 2011), Healthstar (1975-November 2011), ERIC (1967-November 2011), PsycINFO (1984-November 2011), National Technical Information Service database (NTIS, 1964-November 2011), Dissertation Abstracts Online (1861-November 2011), Database of Abstract of Reviews of Effectiveness (DARE, 1995-November 2011), and Web of Science (1993-November 2011). SELECTION CRITERIA: We included randomized and pseudo-randomized clinical trials assessing tobacco cessation interventions conducted by oral health professionals in the dental office or community setting with at least six months of follow-up. DATA COLLECTION AND ANALYSIS: Two authors independently reviewed abstracts for potential inclusion and abstracted data from included trials. Disagreements were resolved by consensus. The primary outcome was abstinence from smoking or all tobacco use (for users of smokeless tobacco) at the longest follow-up, using the strictest definition of abstinence reported. The effect was summarised as an odds ratio, with correction for clustering where appropriate. Heterogeneity was assessed using the I(2) statistic and where appropriate a pooled effect was estimated using an inverse variance fixed-effect model. MAIN RESULTS: Fourteen clinical trials met the criteria for inclusion in this review. Included studies assessed the efficacy of interventions in the dental office or in a community school or college setting. Six studies evaluated the effectiveness of interventions among smokeless tobacco (ST) users, and eight studies evaluated interventions among cigarette smokers, six of which involved adult smokers in dental practice settings. All studies employed behavioral interventions and only one required pharmacotherapy as an interventional component. All studies included an oral examination component. Pooling all 14 studies suggested that interventions conducted by oral health professionals can increase tobacco abstinence rates (odds ratio [OR] 1.71, 95% confidence interval [CI] 1.44 to 2.03) at six months or longer, but there was evidence of heterogeneity (I(2) = 61%). Within the subgroup of interventions for smokers, heterogeneity was smaller (I(2) = 51%), but was largely attributable to a large study showing no evidence of benefit. Within this subgroup there were five studies which involved adult smokers in dental practice settings. Pooling these showed clear evidence of benefit and minimal heterogeneity (OR 2.38, 95% CI 1.70 to 3.35, 5 studies, I(2) = 3%) but this was a posthoc subgroup analysis. Amongst the studies in smokeless tobacco users the heterogeneity was also attributable to a large study showing no sign of benefit, possibly due to intervention spillover to control colleges; the other five studies indicated that interventions for ST users were effective (OR 1.70; 95% CI 1.36 to 2.11). AUTHORS' CONCLUSIONS: Available evidence suggests that behavioral interventions for tobacco cessation conducted by oral health professionals incorporating an oral examination component in the dental office or community setting may increase tobacco abstinence rates among both cigarette smokers and smokeless tobacco users. Differences between the studies limit the ability to make conclusive recommendations regarding the intervention components that should be incorporated into clinical practice, however, behavioral counselling (typically brief) in c
Descriptors
Links
Book Title
Database
Publisher
Data Source
Authors
Carr,A.B., Ebbert,J.
Original/Translated Title
URL
Date of Electronic
20120613
PMCID
PMC3916957
Editors
Interventions for smoking cessation in hospitalised patients 2012 Tobacco Research and Treatment Center, Department of Medicine, Massachusetts General Hospital and Harvard Medical School,Boston,Massachusetts, USA. nrigotti@partners.org.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
16-May
Volume
(5):CD001837. doi
Issue
5
Start Page
CD001837
Other Pages
Notes
LR: 20160602; GR: K24 HL004440/HL/NHLBI NIH HHS/United States; JID: 100909747; CIN: Evid Based Nurs. 2013 Jan;16(1):21-2. PMID: 22961882; CIN: Evid Based Med. 2013 Jun;18(3):e25. PMID: 23002093; NIHMS704512; OID: NLM: NIHMS704512; OID: NLM: PMC4498489; ep
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 22592676
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD001837.pub3 [doi]
Output Language
Unknown(0)
PMID
22592676
Abstract
BACKGROUND: Smoking contributes to reasons for hospitalisation, and the period of hospitalisation may be a good time to provide help with quitting. OBJECTIVES: To determine the effectiveness of interventions for smoking cessation that are initiated for hospitalised patients. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group register which includes papers identified from CENTRAL, MEDLINE, EMBASE and PsycINFO in December 2011 for studies of interventions for smoking cessation in hospitalised patients, using terms including (hospital and patient*) or hospitali* or inpatient* or admission* or admitted. SELECTION CRITERIA: Randomized and quasi-randomized trials of behavioural, pharmacological or multicomponent interventions to help patients stop smoking, conducted with hospitalised patients who were current smokers or recent quitters (defined as having quit more than one month before hospital admission). The intervention had to start in the hospital but could continue after hospital discharge. We excluded studies of patients admitted to facilities that primarily treat psychiatric disorders or substance abuse, studies that did not report abstinence rates and studies with follow-up of less than six months. Both acute care hospitals and rehabilitation hospitals were included in this update, with separate analyses done for each type of hospital. DATA COLLECTION AND ANALYSIS: Two authors extracted data independently for each paper, with disagreements resolved by consensus. MAIN RESULTS: Fifty trials met the inclusion criteria. Intensive counselling interventions that began during the hospital stay and continued with supportive contacts for at least one month after discharge increased smoking cessation rates after discharge (risk ratio (RR) 1.37, 95% confidence interval (CI) 1.27 to 1.48; 25 trials). A specific benefit for post-discharge contact compared with usual care was found in a subset of trials in which all participants received a counselling intervention in the hospital and were randomly assigned to post-discharge contact or usual care. No statistically significant benefit was found for less intensive counselling interventions. Adding nicotine replacement therapy (NRT) to an intensive counselling intervention increased smoking cessation rates compared with intensive counselling alone (RR 1.54, 95% CI 1.34 to 1.79, six trials). Adding varenicline to intensive counselling had a non-significant effect in two trials (RR 1.28, 95% CI 0.95 to 1.74). Adding bupropion did not produce a statistically significant increase in cessation over intensive counselling alone (RR 1.04, 95% CI 0.75 to 1.45, three trials). A similar pattern of results was observed in a subgroup of smokers admitted to hospital because of cardiovascular disease (CVD). In this subgroup, intensive intervention with follow-up support increased the rate of smoking cessation (RR 1.42, 95% CI 1.29 to 1.56), but less intensive interventions did not. One trial of intensive intervention including counselling and pharmacotherapy for smokers admitted with CVD assessed clinical and health care utilization endpoints, and found significant reductions in all-cause mortality and hospital readmission rates over a two-year follow-up period. These trials were all conducted in acute care hospitals. A comparable increase in smoking cessation rates was observed in a separate pooled analysis of intensive counselling interventions in rehabilitation hospitals (RR 1.71, 95% CI 1.37 to 2.14, three trials). AUTHORS' CONCLUSIONS: High intensity behavioural interventions that begin during a hospital stay and include at least one month of supportive contact after discharge promote smoking cessation among hospitalised patients. The effect of these interventions was independent of the patient's admitting diagnosis and was found in rehabilitation settings as well as acute care hospitals. There was no evidence of effect for interventions of lower intensity or shorter duration. This update
Descriptors
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Book Title
Database
Publisher
Data Source
Authors
Rigotti,N.A., Clair,C., Munafo,M.R., Stead,L.F.
Original/Translated Title
URL
Date of Electronic
20120516
PMCID
PMC4498489
Editors
Incentives for preventing smoking in children and adolescents 2012 Preventable Chronic Diseases Division, Menzies School of Health Research, Darwin, Australia. vanessa.johnston@menzies.edu.au.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
17-Oct
Volume
10
Issue
Start Page
CD008645
Other Pages
Notes
LR: 20130628; JID: 100909747; epublish
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 23076949
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.1002/14651858.CD008645.pub2 [doi]
Output Language
Unknown(0)
PMID
23076949
Abstract
BACKGROUND: Adult smoking usually has its roots in adolescence. If individuals do not take up smoking during this period it is unlikely that they ever will. Further, once smoking becomes established, cessation is challenging; the probability of subsequently quitting is inversely proportional to the age of initiation. One novel approach to reducing the prevalence of youth smoking is the use of incentives. OBJECTIVES: To determine whether incentives prevent children and adolescents from starting to smoke. We also attempted to assess the dose-response of incentives, the costs of incentive programmes, whether incentives are more or less effective in combination with other interventions to prevent smoking initiation and any unintended consequences arising from the use of incentives. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Group Specialized Register, with additional searches of MEDLINE, EMBASE, CINAHL, CSA databases and PsycINFO for terms relating to incentives, in combination with terms for smoking and tobacco use, and children and adolescents. The most recent searches were in May 2012. SELECTION CRITERIA: We considered randomized controlled trials allocating children and adolescents (aged 5 to 18 years) as individuals, groups or communities to intervention or control conditions, where the intervention included an incentive aimed at preventing smoking uptake. We also considered controlled trials with baseline measures and post-intervention outcomes. DATA COLLECTION AND ANALYSIS: Data were extracted by two authors and assessed independently. The primary outcome was the smoking status of children or adolescents at follow-up who reported no smoking at baseline. We required a minimum follow-up of six months from baseline and assessed each included study for risk of bias. We used the most rigorous definition of abstinence in each trial; we did not require biochemical validation of self-reported tobacco use for study inclusion. Where possible we combined eligible studies to calculate pooled estimates at the longest follow-up using the Mantel-Haenszel fixed-effect method, grouping studies by study design. MAIN RESULTS: We identified seven controlled studies that met our inclusion criteria, including participants with an age range of 11 to 14 years. Of the seven trials identified, only five had analysable data relevant for this review and contributed to the meta-analysis (6362 participants in total who were non-smokers at baseline; 3466 in intervention and 2896 in control). All bar one of the studies was a trial of the so-called Smokefree Class Competition (SFC), which has been widely implemented throughout Europe. In this competition, classes with youth generally between the ages of 11 to 14 years commit to being smoke free for a six month period. They report regularly on their smoking status; if 90% or more of the class is non-smoking at the end of the six months, the class goes into a competition to win prizes. The one study that was not a trial of the SFC was a controlled trial in which schools in two communities were assigned to the intervention, with schools in a third community acting as controls. Students in the intervention community with lower smoking rates at the end of the project (one school year) received rewards.Only one study of the SFC competition, a non-randomized controlled trial, reported a significant effect of the competition on the prevention of smoking at the longest follow-up. However, this study had a risk of multiple biases, and when we calculated the adjusted RR we no longer detected a statistically significant difference. The pooled RR for the more robust RCTs (3 studies, n = 3056 participants) suggests that, from the available data, there is no statistically significant effect of incentives to prevent smoking initiation among children and adolescents in the long term (RR 1.00, 95% CI 0.84 to 1.19). Pooled results from non-randomized trials also did not detect a significant effect, and we wer
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Database
Publisher
Data Source
Authors
Johnston,V., Liberato,S., Thomas,D.
Original/Translated Title
URL
Date of Electronic
20121017
PMCID
Editors
Nicotine vaccines for smoking cessation 2012 Department of Primary Care Health Sciences, University ofOxford, Oxford, UK. jamie.hartmann-boyce@phc.ox.ac.uk.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
The Cochrane database of systematic reviews
Periodical, Abbrev.
Cochrane Database Syst.Rev.
Pub Date Free Form
15-Aug
Volume
(8):CD007072. doi
Issue
8
Start Page
CD007072
Other Pages
Notes
LR: 20160602; JID: 100909747; 0 (NicVAX); 0 (Vaccines); 0 (nicotine Qbeta vaccine); epublish
Place of Publication
England
ISSN/ISBN
1469-493X; 1361-6137
Accession Number
PMID: 22895958
Language
eng
SubFile
Journal Article; Meta-Analysis; Review; IM
DOI
10.1002/14651858.CD007072.pub2 [doi]
Output Language
Unknown(0)
PMID
22895958
Abstract
BACKGROUND: By reducing the amount of nicotine that reaches the brain when a person smokes a cigarette, nicotine vaccines may help people to stop smoking or to prevent recent quitters from relapsing. OBJECTIVES: The aims of this review are to assess the efficacy of nicotine vaccines for smoking cessation and for relapse prevention, and to assess the frequency and type of adverse events associated with the use of nicotine vaccines. SEARCH METHODS: We searched the Cochrane Tobacco Addiction Review Group specialised register for trials, using the term 'vaccine' in the title or abstract, or in a keyword (date of most recent search April 2012). To identify any other material including reviews and papers potentially relevant to the background or discussion sections, we also searched MEDLINE, EMBASE, and PsycINFO, combining terms for nicotine vaccines with terms for smoking and tobacco use, without design limits or limits for human subjects. We searched the Annual Meeting abstracts of the Society for Research on Nicotine and Tobacco up to 2012, using the search string 'vaccin'. We searched Google Scholar for 'nicotine vaccine'. We also searched company websites and Google for information related to specific vaccines. We searched clinicaltrials.gov in March 2012 for 'nicotine vaccine' and for the trade names of known vaccine candidates. SELECTION CRITERIA: We included randomized controlled trials of nicotine vaccines, at Phase II and Phase III trial stage and beyond, in adult smokers or recent ex-smokers. We included studies of nicotine vaccines used as part of smoking cessation or relapse prevention interventions. DATA COLLECTION AND ANALYSIS: We extracted data on the type of participants, the dose and duration of treatment, the outcome measures, the randomization procedure, concealment of allocation, blinding of participants and personnel, reporting of outcomes, and completeness of follow-up.Our primary outcome measure was a minimum of six months abstinence from smoking. We used the most rigorous definition of abstinence, and preferred cessation rates at 12 months and biochemically validated rates where available. We have used the risk ratio (RR) to summarize individual trial outcomes. We have not pooled the current group of included studies as they cover different vaccines and variable regimens. MAIN RESULTS: There are no nicotine vaccines currently licensed for public use, but there are a number in development. We found four trials which met our inclusion criteria, three comparing NicVAX to placebo and one comparing NIC002 (formerly NicQbeta) to placebo. All were smoking cessation trials conducted by pharmaceutical companies as part of the drug development process, and all trials were judged to be at high or unclear risk of bias in at least one domain. Overall, 2642 smokers participated in the included studies in this review. None of the four included studies detected a statistically significant difference in long-term cessation between participants receiving vaccine and those receiving placebo. The RR for 12 month cessation in active and placebo groups was 1.35 (95% Confidence Interval (CI) 0.82 to 2.22) in the trial of NIC002 and 1.74 (95% CI 0.73 to 4.18) in one NicVAX trial. Two Phase III NicVAX trials, for which full results were not available, reported similar quit rates of approximately 11% in both groups. In the two studies with full results available, post hoc analyses detected higher cessation rates in participants with higher levels of nicotine antibodies, but these findings are not readily generalisable. The two studies with full results showed nicotine vaccines to be well tolerated, with the majority of adverse events classified as mild or moderate. In the study of NIC002, participants receiving the vaccine were more likely to report mild to moderate adverse events, most commonly flu-like symptoms, whereas in the study of NicVAX there was no significant difference between the two arms. Information on adverse events wa
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Links
Book Title
Database
Publisher
Data Source
Authors
Hartmann-Boyce,J., Cahill,K., Hatsukami,D., Cornuz,J.
Original/Translated Title
URL
Date of Electronic
20120815
PMCID
Editors
Effectiveness and cost-effectiveness of computer and other electronic aids for smoking cessation: a systematic review and network meta-analysis 2012 School of Health and Population Sciences, University of Birmingham, Birmingham, UK.
Source Type
Print(0)
Ref Type
Journal Article
Periodical, Full
Health technology assessment (Winchester, England)
Periodical, Abbrev.
Health Technol.Assess.
Pub Date Free Form
Volume
16
Issue
38
Start Page
1
Other Pages
205, iii-v
Notes
LR: 20150203; GR: 08/60/01/Department of Health/United Kingdom; GR: G0800800/Medical Research Council/United Kingdom; GR: G0802413/Medical Research Council/United Kingdom; GR: HTA/08/60/01/Department of Health/United Kingdom; JID: 9706284; ppublish
Place of Publication
England
ISSN/ISBN
2046-4924; 1366-5278
Accession Number
PMID: 23046909
Language
eng
SubFile
Journal Article; Meta-Analysis; Research Support, Non-U.S. Gov't; Review; IM
DOI
10.3310/hta16380 [doi]
Output Language
Unknown(0)
PMID
23046909
Abstract
BACKGROUND: Smoking is harmful to health. On average, lifelong smokers lose 10 years of life, and about half of all lifelong smokers have their lives shortened by smoking. Stopping smoking reverses or prevents many of these harms. However, cessation services in the NHS achieve variable success rates with smokers who want to quit. Approaches to behaviour change can be supplemented with electronic aids, and this may significantly increase quit rates and prevent a proportion of cases that relapse. OBJECTIVE: The primary research question we sought to answer was: What is the effectiveness and cost-effectiveness of internet, pc and other electronic aids to help people stop smoking? We addressed the following three questions: (1) What is the effectiveness of internet sites, computer programs, mobile telephone text messages and other electronic aids for smoking cessation and/or reducing relapse? (2) What is the cost-effectiveness of incorporating internet sites, computer programs, mobile telephone text messages and other electronic aids into current nhs smoking cessation programmes? and (3) What are the current gaps in research into the effectiveness of internet sites, computer programs, mobile telephone text messages and other electronic aids to help people stop smoking? DATA SOURCES: For the effectiveness review, relevant primary studies were sought from The Cochrane Library [Cochrane Central Register of Controlled Trials (CENTRAL)] 2009, Issue 4, and MEDLINE (Ovid), EMBASE (Ovid), PsycINFO (Ovid), Health Management Information Consortium (HMIC) (Ovid) and Cumulative Index to Nursing and Allied Health Literature (CINAHL) (EBSCOhost) from 1980 to December 2009. In addition, NHS Economic Evaluation Database (NHS EED) and Database of Abstracts of Reviews of Effects (DARE) were searched for information on cost-effectiveness and modelling for the same period. Reference lists of included studies and of relevant systematic reviews were examined to identify further potentially relevant studies. Research registries of ongoing studies including National Institute for Health Research (NIHR) Clinical Research Network Portfolio Database, Current Controlled Trials and ClinicalTrials.gov were also searched, and further information was sought from contacts with experts. REVIEW METHODS: Randomised controlled trials (RCTs) and quasi-RCTs evaluating smoking cessation programmes that utilise computer, internet, mobile telephone or other electronic aids in adult smokers were included in the effectiveness review. Relevant studies of other design were included in the cost-effectiveness review and supplementary review. Pair-wise meta-analyses using both random- and fixed-effects models were carried out. Bayesian mixed-treatment comparisons (MTCs) were also performed. A de novo decision-analytical model was constructed for estimating the cost-effectiveness of interventions. Expected value of perfect information (EVPI) was calculated. Narrative synthesis of key themes and issues that may influence the acceptability and usability of electronic aids was provided in the supplementary review. RESULTS: This effectiveness review included 60 RCTs/quasi-RCTs reported in 77 publications. Pooled estimate for prolonged abstinence [relative risk (RR) = 1.32, 95% confidence interval (CI) 1.21 to 1.45] and point prevalence abstinence (RR = 1.14, 95% CI 1.07 to 1.22) suggested that computer and other electronic aids increase the likelihood of cessation compared with no intervention or generic self-help materials. There was no significant difference in effect sizes between aid to cessation studies (which provide support to smokers who are ready to quit) and cessation induction studies (which attempt to encourage a cessation attempt in smokers who are not yet ready to quit). Results from MTC also showed small but significant intervention effect (time to relapse, mean hazard ratio 0.87, 95% credible interval 0.83 to 0.92). Cost-threshold analyses indicated some form of elect
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Authors
Chen,Y.F., Madan,J., Welton,N., Yahaya,I., Aveyard,P., Bauld,L., Wang,D., Fry-Smith,A., Munafo,M.R.
Original/Translated Title
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Date of Electronic
PMCID
Editors