Lindson Nicola, Butler Ailsa R, McRobbie Hayden, Bullen Chris, Hajek Peter, Wu Angela Difeng, Begh Rachna, Theodoulou Annika, Notley Caitlin, Rigotti Nancy A, Turner Tari, Livingstone-Banks Jonathan, Morris Tom, Hartmann-Boyce Jamie
Nuffield Department of Primary Care Health Sciences, University of Oxford, Oxford, UK.
National Drug and Alcohol Research Centre, University of New South Wales, Sydney, Australia.
Cochrane Database Syst Rev. 2025 Jan 29;1(1):CD010216. doi: 10.1002/14651858.CD010216.pub9.
Electronic cigarettes (ECs) are handheld electronic vaping devices that produce an aerosol by heating an e-liquid. People who smoke, healthcare providers, and regulators want to know if ECs can help people quit smoking, and if they are safe to use for this purpose. This is a review update conducted as part of a living systematic review.
To examine the safety, tolerability, and effectiveness of using EC to help people who smoke tobacco achieve long-term smoking abstinence, in comparison to non-nicotine EC, other smoking cessation treatments, and no treatment.
We searched the Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, Embase, and PsycINFO to 1 February 2024 and the Cochrane Tobacco Addiction Group's Specialized Register to 1 February 2023, reference-checked, and contacted study authors.
We included trials randomizing people who smoke to an EC or control condition. We included uncontrolled intervention studies in which all participants received an EC intervention. Studies had to report an eligible outcome.
We followed standard Cochrane methods for screening and data extraction. We used the risk of bias tool (RoB 1) and GRADE to assess the certainty of evidence. Critical outcomes were abstinence from smoking after at least six months, adverse events (AEs), and serious adverse events (SAEs). Important outcomes were biomarkers, toxicants/carcinogens, and longer-term EC use. We used a fixed-effect Mantel-Haenszel model to calculate risk ratios (RRs) with a 95% confidence interval (CI) for dichotomous outcomes. For continuous outcomes, we calculated mean differences. Where appropriate, we pooled data in pairwise and network meta-analyses (NMA).
We included 90 completed studies (two new to this update), representing 29,044 participants, of which 49 were randomized controlled trials (RCTs). Of the included studies, we rated 10 (all but one contributing to our main comparisons) at low risk of bias overall, 61 at high risk overall (including all non-randomized studies), and the remainder at unclear risk. Nicotine EC results in increased quit rates compared to nicotine replacement therapy (NRT) (high-certainty evidence) (RR 1.59, 95% CI 1.30 to 1.93; I = 0%; 7 studies, 2544 participants). In absolute terms, this might translate to an additional four quitters per 100 (95% CI 2 to 6 more). The rate of occurrence of AEs is probably similar between groups (moderate-certainty evidence (limited by imprecision)) (RR 1.03, 95% CI 0.91 to 1.17; I = 0%; 5 studies, 2052 participants). SAEs were rare, and there is insufficient evidence to determine whether rates differ between groups due to very serious imprecision (RR 1.20, 95% CI 0.90 to 1.60; I = 32%; 6 studies, 2761 participants; low-certainty evidence). Nicotine EC probably results in increased quit rates compared to non-nicotine EC (moderate-certainty evidence, limited by imprecision) (RR 1.46, 95% CI 1.09 to 1.96; I = 4%; 6 studies, 1613 participants). In absolute terms, this might lead to an additional three quitters per 100 (95% CI 1 to 7 more). There is probably little to no difference in the rate of AEs between these groups (moderate-certainty evidence) (RR 1.01, 95% CI 0.91 to 1.11; I = 0%; 5 studies, 840 participants). There is insufficient evidence to determine whether rates of SAEs differ between groups, due to very serious imprecision (RR 1.00, 95% CI 0.56 to 1.79; I = 0%; 9 studies, 1412 participants; low-certainty evidence). Compared to behavioural support only/no support, quit rates may be higher for participants randomized to nicotine EC (low-certainty evidence due to issues with risk of bias) (RR 1.96, 95% CI 1.66 to 2.32; I = 0%; 11 studies, 6819 participants). In absolute terms, this represents an additional four quitters per 100 (95% CI 3 to 5 more). There was some evidence that (non-serious) AEs may be more common in people randomized to nicotine EC (RR 1.18, 95% CI 1.10 to 1.27; I = 6%; low-certainty evidence; 6 studies, 2351 participants) and, again, insufficient evidence to determine whether rates of SAEs differed between groups (RR 0.93, 95% CI 0.68 to 1.28; I = 0%; 12 studies, 4561 participants; very low-certainty evidence). Results from the NMA were consistent with those from pairwise meta-analyses for all critical outcomes. There was inconsistency in the AE network, which was explained by a single outlying study contributing the only direct evidence for one of the nodes. Data from non-randomized studies were consistent with RCT data. The most commonly reported AEs were throat/mouth irritation, headache, cough, and nausea, which tended to dissipate with continued EC use. Very few studies reported data on other outcomes or comparisons; hence, evidence for these is limited, with CIs often encompassing both clinically significant harm and benefit.
AUTHORS' CONCLUSIONS: There is high-certainty evidence that ECs with nicotine increase quit rates compared to NRT and moderate-certainty evidence that they increase quit rates compared to ECs without nicotine. Evidence comparing nicotine EC with usual care or no treatment also suggests benefit, but is less certain due to risk of bias inherent in the study design. Confidence intervals were, for the most part, wide for data on AEs, SAEs, and other safety markers, with no evidence for a difference in AEs between nicotine and non-nicotine ECs nor between nicotine ECs and NRT, but low-certainty evidence for increased AEs compared with behavioural support/no support. Overall incidence of SAEs was low across all study arms. We did not detect evidence of serious harm from nicotine EC, but longer, larger studies are needed to fully evaluate EC safety. Our included studies tested regulated nicotine-containing EC; illicit products and/or products containing other active substances (e.g. tetrahydrocannabinol (THC)) may have different harm profiles. The main limitation of the evidence base remains imprecision due to the small number of RCTs, often with low event rates. Further RCTs are underway. To ensure the review continues to provide up-to-date information to decision-makers, this is a living systematic review. We run searches monthly, with the review updated when relevant new evidence becomes available. Please refer to the Cochrane Database of Systematic Reviews for the review's current status.
电子烟是一种手持式电子雾化设备,通过加热电子液体产生气溶胶。吸烟者、医疗保健提供者和监管机构想知道电子烟是否能帮助人们戒烟,以及用于此目的是否安全。这是作为一项动态系统评价的一部分进行的综述更新。
与不含尼古丁的电子烟、其他戒烟治疗方法和不进行治疗相比,研究使用电子烟帮助吸烟者实现长期戒烟的安全性、耐受性和有效性。
我们检索了截至2024年2月1日的Cochrane对照试验中央登记册(CENTRAL)、MEDLINE、Embase和PsycINFO,以及截至2023年2月1日的Cochrane烟草成瘾小组专业登记册,核对参考文献并联系研究作者。
我们纳入了将吸烟者随机分配到电子烟组或对照组的试验。我们纳入了所有参与者均接受电子烟干预的非对照干预研究。研究必须报告合格的结果。
我们遵循Cochrane的标准方法进行筛选和数据提取。我们使用偏倚风险工具(RoB 1)和GRADE来评估证据的确定性。关键结果是至少六个月后的戒烟情况、不良事件(AE)和严重不良事件(SAE)。重要结果是生物标志物、有毒物质/致癌物和长期使用电子烟情况。我们使用固定效应Mantel-Haenszel模型计算二分结果的风险比(RR)及95%置信区间(CI)。对于连续结果,我们计算平均差异。在适当情况下,我们在成对和网状Meta分析(NMA)中汇总数据。
我们纳入了90项完成的研究(本次更新新增2项),涉及29044名参与者,其中49项为随机对照试验(RCT)。在纳入的研究中,我们将10项研究(除一项外均对我们的主要比较有贡献)总体评定为低偏倚风险,61项总体评定为高偏倚风险(包括所有非随机研究),其余研究风险不明。与尼古丁替代疗法(NRT)相比,含尼古丁的电子烟可提高戒烟率(高确定性证据)(RR 1.59,95%CI 1.30至1.93;I = 0%;7项研究,2544名参与者)。从绝对值来看,这可能意味着每100人中有额外4人戒烟(95%CI多2至6人)。两组间AE发生率可能相似(中度确定性证据(受不精确性限制))(RR 1.03,95%CI 0.91至1.17;I = 0%;5项研究,2052名参与者)。SAE很少见,由于非常严重的不精确性,没有足够证据确定两组间发生率是否存在差异(RR 1.20,95%CI 0.90至1.60;I = 32%;6项研究,2761名参与者;低确定性证据)。与不含尼古丁的电子烟相比,含尼古丁的电子烟可能会提高戒烟率(中度确定性证据,受不精确性限制)(RR 1.46,95%CI 1.09至1.96;I = 4%;6项研究,1613名参与者)。从绝对值来看,这可能导致每100人中有额外3人戒烟(95%CI多1至7人)。这些组间AE发生率可能几乎没有差异(中度确定性证据)(RR 1.01,95%CI 0.91至1.11;I = 0%;5项研究,840名参与者)。由于非常严重的不精确性,没有足够证据确定两组间SAE发生率是否存在差异(RR 1.00,95%CI 0.56至1.79;I = 0%;9项研究