Background We present the final results of the effect of lung cancer screening with low-dose CT on the smoking habits of participants in a 5-year screening trial.
Methods The Danish Lung Cancer Screening Trial (DLCST) was a 5-year screening trial that enrolled 4104 subjects; 2052 were randomised to annual low-dose CT (CT group) and 2052 received no intervention (control group). Participants were current and ex-smokers (≥4 weeks abstinence from smoking) with a tobacco consumption of ≥20 pack years. Smoking habits were determined annually. Missing values for smoking status at the final screening round were handled using two different models.
Results There were no statistically significant differences in annual smoking status between the CT group and control group. Overall the ex-smoker rates (CT + control group) significantly increased from 24% (baseline) to 37% at year 5 of screening (p<0.001). The annual point prevalence quit rate increased from 11% to 24% during the five screening rounds; the ex-smokers’ relapse rate remained stable, around 11%, across the same period.
Conclusions Screening with low-dose CT had no extra effect on smoking status compared with the control group, but overall the screening programme probably promoted smoking cessation.
Clinical Trial Registration: The DLCST is registered in Clinical Trials.gov Protocol Registration System (identification no. NCT00496977).
- Lung Cancer
- Tobacco and the lung
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What is the key question?
Does screening for lung cancer with low-dose CT of thorax affect smoking behaviour?
What is the bottom line?
No significant difference was found in smoking behaviour during a 5-year period between the CT group versus the control group.
Why read on?
Overall, we found an increasing smoking cessation rate during this screening programme, higher motivation to quit at baseline predicted smoking abstinence at the final screening round.
Due to the poor prognosis of lung cancer, the concept of early detection using screening with CT of the thorax has been evaluated in studies in Europe1–3 and the USA.4 ,5 The intention of screening is to detect lung cancer at an earlier stage than usual, and thus reduce mortality from lung cancer in asymptomatic current and ex-smokers. The US National Lung Cancer Screening Trial, which enrolled 50 000 participants, reported a significant 20% reduction in lung cancer mortality, while the all-cause mortality reduction was 6.7%.6
One possible drawback of screening is that it may reduce smokers’ motivation to quit by inducing a false sense of safety.7 Participants in screening programmes may feel that they are protected against the harmful effects of smoking and may therefore continue to smoke or—even worse—increase the amount they smoke.8 Any potential mortality reduction from lung cancer screening would therefore be lost. On the other hand, screening may provide an opportunity to counsel participants about smoking cessation.9 ,10 There is, therefore, a need for randomised controlled trials in which the smoking habits of screened participants are compared to a non-screened group, so that the actual effect of screening on smoking behaviour can be evaluated. Only few randomised trials have investigated this by analysing smoking habits in a selected cohort of participants in the CT and control groups.10 To the best of our knowledge, this study is the first large-scale investigation of smoking behaviour of participants undergoing a complete 5-year screening programme.
We set up the Danish Lung Cancer Screening Trial (DLCST), a 5-year screening trial, and have previously reported the results of smoking habits during the first 2 years of screening (at baseline and year 2)11; during this period, there was no sign of either increased or reduced smoking in screened participants compared with a control group, that is, no significant difference in smoking habits between the screening and control groups. Our results were comparable with findings reported by other groups.10 The DLCST found a net quit rate of 6% after 1 year of screening, but it was unclear whether this was a short-term smoking cessation effect or whether this effect would also persist throughout the future screening rounds.
The purpose of this paper is to present and analyse smoking habits during all five screening rounds in the DLCST.
The study population comprised participants from the DLCST, a 5-year randomised trial that examined the effect of annual screening with low-dose CT on lung cancer mortality.12 Participants were randomised to either annual screening by low-dose CT of the chest (CT group) or no intervention (control group), by a computer programme (random permuted blocks of 10 participants with double blinded block size). Individuals volunteered for the DLCST by responding to advertisements in free local and regional newspapers. The study enrolled current or ex-smokers aged 50–70 years, with a smoking history of more than 20 pack-years. Ex-smokers had to have quit smoking after the age of 50 years, and less than 10 years ago. The study was conducted at Gentofte University Hospital, Copenhagen. A more detailed description of the DLCST study design, and inclusion and exclusion criteria, has been published elsewhere.12 ,13 The CT group underwent five annual CT scans of the thorax during the study, while the control group had neither CT scans nor chest radiographs. Both groups attended the same number of annual visits, at which smoking status was determined along with other assessments.
Between 1 November 2004 and 31 March 2006, a total of 4104 participants (mean age 58 years; 45% women) were enrolled. Smoking habits (self-reported) were assessed annually, starting with an initial (baseline) screening and followed by four annual screening rounds, giving a total of five screening years. At baseline and the second screening visit, self-reported smoking habits were objectively verified by measuring carbon monoxide (CO) levels in exhaled breath.11 ,14 ,15
Current smokers were defined as participants who were actively smoking within the 4 weeks prior to the annual visit, and ex-smokers were defined as subjects with self-declared smoking abstinence for at least 4 weeks prior to the annual visit and with an exhaled CO <10 ppm. Any self-reported ex-smokers with a CO level above 10 ppm were excluded from analysis as they were considered as smokers.
At baseline, motivation to quit smoking among current smokers was assessed using the question ‘How strong is your motivation to quit smoking?’, with responses rated from 1 (no motivation) to 5 (very high motivation).16 ,17 At the final (year 5) screening, the frequency of smokers and ex-smokers was related to the distribution of baseline smoker motivation to quit using Model 1 (see ‘Statistics’ below).
At each annual visit, participants in the CT group and the control group were given minimal smoking cessation counselling (less than 5 min) by nurses who were certified in smoking cessation and had at least 3 years experience of counselling. Smokers were informed about the dangers of smoking and received brief advice to quit together with a brochure about smoking cessation. Ex-smokers were encouraged to remain abstinent.
Annual smoking status and the missing recordings of smoking status were compared between the CT group and the control group using χ2 test. Motivation to quit at baseline was compared with smoking status at year 5 of screening using χ2 and logistic regression analysis by using this model: smoking status at year 5 = motivation to quit smoking at baseline. Analyses were performed using R-statistical software V.2.14.0, and a p value of 0.05 or less was considered statistically significant. Analyses were performed using R-statistical software V.2.14.0, and a p value of 0.05 or less was considered statistically significant.
Smoking status at the final screening round (year 5) was calculated using two different models:
Missing values not included in the analysis (Model 1).
Missing data on smoking status at year 5 classified as the last known smoking status from previous screening rounds (Model 2).
Annual smoking status
Table 2 shows the annual smoking status from baseline up to the fifth year of screening for the CT group and control group. Five ex-smokers had an exhaled CO value above 10 ppm during the first year of screening and were excluded from the analyses. There was no significant difference in smoking habits between the two groups during the study.
Of the 3124 smokers at baseline (in the CT + control groups), 1583 (51%) remained smokers from baseline until the final screening round at year 5. A total of 980 subjects were ex-smokers at baseline, of whom 672 (69%) remained ex-smokers throughout all five screening rounds. Overall, 45% (1849/4104) of participants changed their smoking habits during the study period.
Annual point prevalence quit rate among baseline smokers increased from 11% after 2 years to 24% after 5 years. For the ex-smokers at baseline, the annual point prevalence relapse rate to smoking was 9% after 2 years and 10% after 5 years (table 3).
Missing recordings of smoking status
Missing recording of smoking status was mainly due to loss to follow-up increased from 8.6% at baseline to 14.6% at the final screening round (year 5), and were more frequent in the control group (12%) than the CT group (6%; p<0.001, χ2 test). To analyse the effect of missing values on smoking status at the final (year 5) screening, the two previously described models were used, and the results are presented in table 4.
No significant difference between the CT group and control group was observed either when the missing values were not included (Model 1) or when all missing values were set to the last known smoking status (Model 2). Since we found no difference between the CT group and control group in Model 1 and Model 2, the overall (CT + control) rate of ex-smokers was determined: 24% (baseline), 28% (year 2), 33% (year 3), 35% (year 4), and 37% (year 5), (χ2 p<0.001) (figure 2). In these analyses all missing values were regarded as current smokers (Model 2).
Motivation to quit
Table 5 shows the distribution of baseline motivation to quit in smokers and smoking status at the final screening (year 5). In these analyses, 17% of subjects had missing values and were not included in the calculations (Model 1).
Significantly more subjects who were ex-smokers at the year 5 screening were either highly (37%) or very highly (17%) motivated to quit smoking at baseline compared with subjects who smoked at year 5 screening (33% and 12%, respectively). Correspondingly, significantly fewer subjects who were ex-smokers at the year 5 screening had rated their motivation to quit at baseline as either absent (9%), very low (9%) or low (28%) compared with subjects who were smoking at the year 5 screening (12%, 10% and 33%, respectively) In the logistic regression analysis, very high (OR=1.98) and high (OR=1.55) motivation to quit smoking at baseline was significantly correlated with smoking cessation at year 5 of screening (table 5).
Overall, the proportion of ex-smokers (CT + control group) significantly increased from 24% at baseline to 37% at the year 5 screening (p<0.001), but we found no statistically significant differences in annual smoking status between the CT group and control group.
Screening with low-dose CT had no direct effect on the smoking status of the participants, and did not promote more smoking, as one might fear when conducting a lung cancer screening programme. No significant difference in smoking behaviour was observed between the CT group and the control group throughout all five annual screening rounds in the DLCST. We had previously published smoking habits from the first 2 years of the DLCST, which also showed no significant difference between the CT and control groups.11 This does not seem to be a short-term effect as no statistically significant differences in smoking habits emerged between the CT and control groups throughout all five annual screening rounds. In published smoking cessation studies—often with 1-year follow-up—missing values are typically in the range of 35–50%,18–21 which seems higher than that observed in our 5-year study; therefore, missing values in our study seem to be acceptably low. We analysed smoking habits by excluding (Model 1) and including (Model 2) missing values; both models confirmed that there was no difference in the change of smoking habits between the CT and control groups.
The Nelson Study is another large randomised lung cancer screening trial which has investigated smoking habits of screening participants. They reported a 2-year point prevalence quit rate of 14.5% in the intervention arm versus 19.1% in the control arm, but after including missing values there was no statistical difference among the two arms.10 The Nelson Study control group differed as they had no clinic visits and was only followed by phone calls, so the reliability regarding smoking status might be lower than in the intervention group. The absolute quit rate was in accordance with the findings in our study here.
Smoking habits were validated using exhaled CO during the first two screening rounds, and only a negligible number of subjects who appeared to have lied about their smoking status were detected. We believe this was due to the fact that the DLCST was not primarily a smoking cessation trial and, therefore, participants were more honest with regards to their smoking habits. During screening rounds where smoking habits were not validated using exhaled CO, there was no dramatic increase in quit rates (figure 2), suggesting that the ‘liar rate’ was still negligible even when CO validation was not used to verify self-reported smoking status.
The study has its limitation. Study participants volunteered to be part of a screening trial and may, therefore, be subject to selection bias since participants who volunteer for clinical trials may be more motivated to stop smoking than the general population. This selection bias is also known to be related to social class, although there was no difference in social class between our CT and control groups (data not shown).22 Our study may also be biased, as current smokers may tend to miss follow-up visits more frequently than non-smokers because they do not wish to be confronted with their smoking. However, as smoking cessation was not the primary focus of the DLCST (the focus was on early lung cancer detection), we do not suspect that the changes in smoking habits are different among participants who attended follow-up and those lost to follow-up. Our analyses of missing values support this hypothesis (table 4).
Previously when we published results of analyses of smoking habits after 1-year screening,11 we found that a positive finding on the CT (which resulted in a 3-month rescan), significantly promoted a higher quit rate and a lower relapse rate. However, this effect could not be found when we analysed all five screening rounds by comparing smoking habits of those with and without CT findings (data not shown). This could suggest, that the previously reported effect may be a transient short-term effect of a positive finding on CT, but without having a long-lasting significant effect during the 5-year screening programme.
Overall, approximately 45% of participants in the DLCST changed their smoking behaviour during the 5-year study, and we observed a net quit rate of 17%. The ex-smoker rate increased significantly across the CT group and control group, from 24% at baseline to 37% at the final screening round 5 years later. Participation in the DLCST seemed to be a successful method of promoting smoking cessation compared to the spontaneous quit rate in the general Danish population. We calculated a reasonable age, sex and regional matched control population from a Danish survey of smoking habits over the same 5-year period, which showed a decrease in the prevalence of daily smokers from approximately 29% in 2005 to 26% in 2010.23 This 3% decrease in smoking prevalence in the general Danish population-matched control population, compared with the 13% decrease in the DLCST, justifies our conclusion that participation in the DLCST, per se, probably resulted in the relatively high quit rate. As previously mentioned, the DLCST focused on early detection of lung cancer; it was not primarily a smoking cessation study, and only minimal smoking cessation counselling was offered. Nonetheless, we found a point prevalence quit rate of 24% (smokers at baseline who were ex-smokers at year 5), while the relapse rate of ex-smokers at baseline remained stable at around 11% (table 3). This outcome is in accordance with the quit rate reported in many prospective smoking cessation studies that employ more cessation support combined with smoking cessation medications.24
Greater emphasis on smoking cessation in the DLCST, with more cessation support and smoking cessation medications, may have resulted in an even higher cessation rate. Interestingly, approximately 50% of participants in our study had no or very low motivation to quit smoking at baseline. Higher motivation to quit at baseline was significantly linked to smoking abstinence at the final screening round (table 5). Overall, our results show that baseline motivation was a predictor of long-term abstinence. As approximately half the smokers in the DLCST were highly or very highly motivated to quit at baseline, it would probably be feasible to enrol a large proportion of these smokers in a formal smoking cessation programme. In this context, lung cancer screening with a CT scan could be a window of opportunity for promoting smoking cessation. Therefore, we propose that smoking cessation should be an integral part of screening trials for lung cancer.
Our results did not indicate that CT scanning, per se, affected the smoking behaviour of participants in a lung cancer screening trial. However, participation in this screening trial alone significantly promoted smoking cessation in the CT group and the control group as the ex-smoker rate increased from 28% to 37% during the 5-year study period. At the fifth year of screening, we found a 24% point prevalence quit rate among participants who were smoking at baseline; a quit rate of this magnitude is much higher than expected in the general population. Higher motivation to quit at baseline predicted smoking abstinence at the final screening round.
The authors wish to thank the DLCST steering committee, including Birgit Guldhammer Skov MD, Karen Bach MD, Jann Mortensen MD, Hanne Thorsen MD, John Brodersen MD, Niels Seersholm MD, Hanne Hansen MD, Klaus Fuglsang Kofoed MD, Paul Clementsen MD and Klaus Richter Larsen MD.
Contributors HA and PT have drafted the manuscript. All authors revised the manuscript. Guarantor: HA and PT.
Funding The Danish Lung Cancer Screening Trial (DLCST) is funded in full by a governmental grant by the Danish Ministry of Health and Prevention.
Competing interests None.
Ethics approval Ethics approval was provided by Committee of Copenhagen County and the Danish Data Protection Agency.
Provenance and peer review Not commissioned; externally peer reviewed.
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