Accuracy of self-reported tobacco use in newly diagnosed cancer patients

Treating tobacco dependency in cancer care: essential, cost-effective, and feasible, yet overlooked

Treating tobacco dependency in patients diagnosed with cancer delivers substantial benefits; improved overall survival, reduced risk of disease recurrence, less treatment-related adverse events and improved quality of life. This study by Mullen et al provides important data on cost-savings and return on investment from embedding tobacco dependency treatment within cancer care and is a call to arms for equitable access to these treatments for all patients diagnosed with cancer.

Post-diagnosis smoking habit change and incident dementia in cancer survivors

INTRODUCTION

Many individuals change their smoking habits after cancer diagnosis. We aimed to evaluate the association of post-diagnosis smoking habit change with incident dementia in cancer survivors.

METHODS

We identified 558,127 individuals who were diagnosed with cancer at age ≥ 20 and survived for ≥ 3 years. Participants were classified into four groups: (1) sustained non-smokers, (2) initiators/relapsers, (3) quitters, and (4) continuing smokers. Dementia risk in each group was assessed using a cause-specific Cox model.

RESULTS

After cancer diagnosis, 2.3% of pre-diagnosis non-smokers initiated/relapsed into smoking, while 51.7% of pre-diagnosis smokers quit smoking. Compared to sustained non-smokers, multivariable-adjusted risk of dementia was 29% higher among initiators/relapsers, 11% higher among quitters, and 31% higher among continuing smokers. Compared to continuing smokers, the risk was 15% lower among quitters.

DISCUSSION

In cancer survivors, smoking initiation/relapse was associated with increased risk of dementia, whereas smoking cessation was associated with decreased risk of dementia.

HIGHLIGHTS

Approximately half of pre-diagnosis smokers quit smoking after a cancer diagnosis. Smoking cessation was associated with a 15% reduced risk of dementia. More than 2% of pre-diagnosis non-smokers initiated or relapsed into smoking after a cancer diagnosis. Smoking initiation/relapse was associated with a 29% elevated risk of dementia.

Trends in Cannabis-positive Urine Toxicology Test Results: US Veterans Health Administration Emergency Department Patients, 2008 to 2019

OBJECTIVES

This study aimed to examine trends in cannabis-positive urine drug screens (UDSs) among emergency department (ED) patients from 2008 to 2019 using data from the Veterans Health Administration (VHA) health care system, and whether these trends differed by age group (18-34, 35-64, and 65-75 years), sex, and race, and ethnicity.

METHOD

VHA electronic health records from 2008 to 2019 were used to identify the percentage of unique VHA patients seen each year at an ED, received a UDS, and screened positive for cannabis. Trends in cannabis-positive UDS were examined by age, race and ethnicity, and sex within age groups.

RESULTS

Of the VHA ED patients with a UDS, the annual prevalence positive for cannabis increased from 16.42% in 2008 to 27.2% in 2019. The largest increases in cannabis-positive UDS were observed in the younger age groups. Male and female ED patients tested positive for cannabis at similar levels. Although the prevalence of cannabis-positive UDS was consistently highest among non-Hispanic Black patients, cannabis-positive UDS increased in all race and ethnicity groups.

DISCUSSION

The increasing prevalence of cannabis-positive UDS supports the validity of previously observed population-level increases in cannabis use and cannabis use disorder from survey and administrative records. Time trends via UDS results provide additional support that previously documented increases in self-reported cannabis use and disorder from surveys and claims data are not spuriously due to changes in patient willingness to report use as it becomes more legalized, or due to greater clinical attention over time.

Lifestyle Factors in Patients with Bladder Cancer: A Contemporary Picture of Tobacco Smoking, Electronic Cigarette Use, Body Mass Index, and Levels of Physical Activity

BACKGROUND

Little is known about contemporary lifestyle choices in patients with bladder cancer (BC). These choices include carcinogenic risk factors and could affect fitness to receive treatments.

OBJECTIVE

To evaluate the contemporary lifestyle choices in BC patients.

DESIGN, SETTING, AND PARTICIPANTS

Self-reported surveys from participants diagnosed with BC in the previous 10 yr captured smoking patterns, e-cigarette use, physical activity using the GODIN Leisure-Time Exercise Questionnaire, long-term conditions (LTCs), relationship status, sociodemographics, and body mass index (BMI; height and weight).

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Findings were compared with the general population and men with prostate cancer.

RESULTS AND LIMITATIONS

Completed surveys were received from 2092 participants. Most respondents were ex-smokers (61% vs 10% current vs 29% never). The use of e-cigarettes was uncommon (9%) and at lower rates than the age-equivalent general population. Passive smoke exposure was frequent (48%). Most participants (68%) were "insufficiently active" using the GODIN criteria and less physically active than the age-equivalent general population. Most respondents (44%) were classified as overweight (BMI 25-29.99) or obese (22%, BMI >30). Lifestyle factors varied with age, sex, socioeconomic deprivation, and LTCs. Younger participants were less likely to smoke (p < 0.001), more likely to have used e-cigarettes (p < 0.001), but more likely to have had passive smoke exposure (p = 0.008). Those from less affluent areas were more likely to smoke (p < 0.001), have used e-cigarettes (p < 0.001), and have had passive smoke exposure (p = 0.02). Females were less likely to be smokers (p < 0.001) but more likely to have been exposed to passive smoke (p < 0.001).

CONCLUSIONS

Persons affected by BC often have smoking exposures and high BMI, and are insufficiently active. Rates of e-cigarette use were lower than in the general population. Efforts to improve quality of life in this cohort should include wider advocation of smoking cessation, perhaps including the use of e-cigarettes, and programmes to increase exercise and reduce BMI.

PATIENT SUMMARY

We looked at the lifestyle choices, such as smoking, e-cigarette use, physical activity levels, and obesity, of patients following a bladder cancer diagnosis. We conclude that this population would benefit from healthy lifestyle interventions.

Verifying the accuracy of self-reported smoking behavior in female volunteer soldiers

Smoking rates in the military are evaluated through questionnaire surveying. Because the accurate identification of smokers facilitates the provision of smoking cessation services, this study conducted urine cotinine concentration testing to verify the accuracy of self-reported smoking behavior by female volunteer soldiers and analyzed the effects of second-hand smoking on urine cotinine concentrations. This study is a cross-sectional study conducted using purposive sampling on female volunteer soldiers receiving training at the Taichung Recruit Training Center in May 2014. This study simultaneously collected questionnaires and urine samples, and urine samples were analyzed with an enzyme-linked immunosorbent assay. The self-reported smoking rate of female volunteer soldiers was 19.3%, whereas the smoking rate as determined by urine cotinine concentration testing was 26.3%, indicating an overall underestimation of 7.0%. Chi-square (χ2) goodness of fit test results indicated that the distribution of self-reported smoking behaviors and that verified from urine cotinine concentration testing were significantly different. The sensitivity of self-reported smoking behavior was 66.7% with a specificity of 97.6%. There was no significant association between second-hand smoking and urine cotinine concentrations. Questionnaire survey self-reporting methods could underestimate the smoking behavior of female volunteer soldiers and routine testing with biochemical verification is necessary.

Association of Pack-Years of Cigarette Smoking With Survival and Tumor Progression Among Patients Treated With Chemoradiation for Head and Neck Cancer

IMPORTANCE

After 10 pack-years of smoking was initially established as a threshold for risk stratification, subsequent clinical trials incorporated it to identify candidates for treatment deintensification. However, several recent studies were unable to validate this threshold externally, and the threshold for smoking exposure remains unclear.

OBJECTIVE

To estimate the threshold of pack-years of smoking associated with survival and tumor recurrence among patients with head and neck cancer.

DESIGN, SETTING, AND PARTICIPANTS

This single-institution, cohort study included patients with nonmetastatic head and neck cancer receiving chemoradiation from January 2005 to April 2021. Data were analyzed from January to April 2022.

EXPOSURES

Heavy vs light smoking using 22 pack-years as a threshold based on maximizing log-rank test statistic.

MAIN OUTCOMES AND MEASURES

Overall survival (OS), progression-free survival (PFS), locoregional failure (LRF), and distant failure (DF).

RESULTS

A total of 518 patients (427 male [82.4%]; median [IQR] age, 61 [55-66] years) were included. Median (IQR) follow-up was 44.1 (22.3-72.8) months. A nonlinear Cox regression model using restricted cubic splines showed continuous worsening of OS and PFS outcomes as pack-years of smoking increased. The threshold of pack-years to estimate OS and PFS was 22. Cox multivariable analysis (MVA) showed that more than 22 pack-years was associated with worse OS (adjusted hazard ratio [aHR] 1.57; 95% CI, 1.11-2.22; P = .01) and PFS (aHR, 1.38; 95% CI, 1.00-1.89; P = .048). On Fine-Gray MVA, heavy smokers were associated with DF (aHR, 1.71; 95% CI, 1.02-2.88; P = .04), but not LRF (aHR, 1.07; 95% CI, 0.61-1.87; P = .82). When 10 pack-years of smoking were used as a threshold, there was no association for OS (aHR, 1.23; 95% CI, 0.83-1.81; P = .30), PFS (aHR, 1.11; 95% CI, 0.78-1.57; P = .56), LRF (aHR, 1.19; 95% CI, 0.64-2.21; P = .58), and DF (aHR, 1.45; 95% CI, 0.82-2.56; P = .20). Current smoking was associated with worse OS and PFS only among human papillomavirus (HPV)-positive tumors (OS: aHR, 2.81; 95% CI, 1.26-6.29; P = .01; PFS: aHR, 2.51; 95% CI, 1.22-5.14; P = .01).

CONCLUSIONS AND RELEVANCE

In this cohort study of patients treated with definitive chemoradiation, 22 pack-years of smoking was associated with survival and distant metastasis outcomes. Current smoking status was associated with adverse outcomes only among patients with HPV-associated head and neck cancer.

The Role of Electronic Patient-Reported Outcome Measures in Assessing Smoking Status and Cessation for Patients with Lung Cancer

INTRODUCTION

Smoking cessation following lung cancer diagnosis is recommended to improve patient outcomes. Electronic Patient Reported Outcome Measures (ePROMs) may be useful for identifying and facilitating cessation support in patients that continue to smoke after a cancer diagnosis. The primary aim was to investigate the level of agreement between clinician-reported and self-reported patient smoking status during the first visit to a cancer centre (I). Secondary aims included investigating differences between cancer-specific characteristics between never smokers and current/ex-smokers (IIA), and the self-reported frequency of smoking cessation after diagnosis of lung cancer (IIB).

METHODS

Retrospective single-centre study carried out at a tertiary cancer centre in the UK. Lung cancer patients that completed at least one ePROM questionnaire within 6 weeks of their first visit to the cancer centre (baseline), between February 2019 and February 2020, were included in the study. All ePROM questionnaires included a question regarding smoking status to allow comparison with the clinician records. Patients were offered these electronic questionnaires at each subsequent visit to the hospital.

RESULTS

Of 195 patients included, 24 (12.3%) demonstrated discordance between clinician-reported and self-reported smoking status at the baseline assessment. Clinician-reported 'current smokers' were more likely to be discordant with self-reported smoking status, compared with clinician-reported 'ex-smokers' and 'never smokers' (P = 0.017). Never smokers were more likely to have adenocarcinoma (P < 0.005), present with stage IV cancer (P = 0.023) and receive treatment with palliative intention (P = 0.042), compared with current and ex-smokers. Of those that were reported by clinicians as being current smokers, 9/38 (23.7%) were self-reported ex-smokers. A sub-group of 137 patients completed at least one additional ePROM questionnaire after the baseline and were included in the smoking cessation analysis. Thirty-eight patients were clinician-reported as 'current smokers' at baseline. Of these, 9 subsequently stopped smoking, 17 continued and 3 had short periods of cessation, identified through self-reporting.

CONCLUSION

In most cases, there is concordance between clinician- and self-reported smoking status. A small area of discordance was identified where clinicians reported some patients as 'current smokers', whilst patients self-reported having stopped. The causes for this were not explored and require further investigation. This study supports the use of ePROMs as a helpful tool to assess smoking status, and it can be used to identify patients for smoking cessation referral.

AhRR methylation contributes to disease progression in urothelial bladder cancer

BACKGROUND

Bladder Cancer (BCa) is the tenth most incidental malignancy worldwide. BCa is mostly attributed to environmental exposure and lifestyle, particularly tobacco smoking. The Aryl Hydrocarbon Receptor Repressor (AhRR) participates in the induction of many enzymes involved in metabolizing carcinogens, including tobacco smoke components. Additionally, studies have shown that smoking demethylates the (AhRR) gene in blood, suggesting AhRR demethylation as a specific serum smoking biomarker.

OBJECTIVE

This study aimed to validate AhRR demethylation as a smoking biomarker in the target tissue and investigate its contribution to bladder carcinogenesis.

METHODS

AhRR percent methylation was tested for its association with patient smoking status and oncogenic outcome indicators, particularly p53, RB1, and FGFR3 activating mutations, muscle-invasiveness, and tumor grade, in 180 BCa tissue-based DNA.

RESULTS

Results showed significantly higher AhRR percent methylation in muscle-invasive compared to non-muscle invasive tumors (42.86% vs. 33.98%; p= 0.011), while lower AhRR methylation was significantly associated with FGFR3 Codon 248 mutant genotype compared to wild-type (28.11% ± 9.44 vs. 37.87% ± 22.53; p= 0.036). All other tested associations were non-statistically significant.

CONCLUSIONS

Although AhRR methylation did not predict smoking status in BCa tumors, it seems to play a role in carcinogenesis and disease progression. Our findings make a basis for further research.

Tobacco Use and Tobacco Treatment Referral Response of Patients With Cancer: Implementation Outcomes at a National Cancer Institute-Designated Cancer Center

PURPOSE

Smoking after a cancer diagnosis is linked to cancer-specific and all-cause mortality, among other adverse outcomes. Yet, 10%-20% of US cancer survivors are current smokers. Implementation of evidence-based tobacco treatment in cancer care facilities is widely recommended, yet rarely accomplished. This study focuses on the early outcomes of a population-based tobacco treatment program integrated within an National Cancer Institute-designated cancer center.

METHODS AND MATERIALS

The sample consists of 26,365 patients seen at the cancer center during the first 18 months of program implementation. The study is a retrospective chart review of patients' tobacco use and, among current users, patients' treatment referral response.

RESULTS

More than 99% of patients were screened for tobacco use. Current (past month) use was observed in 21.05% of patients; cigarettes were the most popular product. Only 17.22% of current users accepted a referral for tobacco treatment; among current users who declined, the majority were not ready to quit (65.84%) or wanted to quit on their own (27.01%). Multiple demographic variables were associated with tobacco use and treatment referral response outcomes.

CONCLUSION

Despite cancer diagnosis presenting a teachable moment for tobacco cessation, patients with cancer may not be ready to quit or engage with treatment. Clinically proven strategies to increase motivation, prompt quit attempts, and encourage treatment use should be key components of tobacco treatment delivery to patients with cancer.

Concordance Between Electronic Health Record and Tumor Registry Documentation of Smoking Status Among Patients With Cancer

PURPOSE

Patients with cancer who use tobacco experience reduced treatment effectiveness, increased risk of recurrence and mortality, and diminished quality of life. Accurate tobacco use documentation for patients with cancer is necessary for appropriate clinical decision making and cancer outcomes research. Our aim was to assess agreement between electronic health record (EHR) smoking status data and cancer registry data.

MATERIALS AND METHODS

We identified all patients with cancer seen at University of Florida Health from 2015 to 2018. Structured EHR smoking status was compared with the tumor registry smoking status for each patient. Sensitivity, specificity, positive predictive values, negative predictive values, and Kappa statistics were calculated. We used logistic regression to determine if patient characteristics were associated with odds of agreement in smoking status between EHR and registry data.

RESULTS

We analyzed 11,110 patient records. EHR smoking status was documented for nearly all (98%) patients. Overall kappa (0.78; 95% CI, 0.77 to 0.79) indicated moderate agreement between the registry and EHR. The sensitivity was 0.82 (95% CI, 0.81 to 0.84), and the specificity was 0.97 (95% CI, 0.96 to 0.97). The logistic regression results indicated that agreement was more likely among patients who were older and female and if the EHR documentation occurred closer to the date of cancer diagnosis.

CONCLUSION

Although documentation of smoking status for patients with cancer is standard practice, we only found moderate agreement between EHR and tumor registry data. Interventions and research using EHR data should prioritize ensuring the validity of smoking status data. Multilevel strategies are needed to achieve consistent and accurate documentation of smoking status in cancer care.

Associations between cancer diagnosis and patients' responses to an inpatient tobacco treatment intervention

BACKGROUND

Diagnosis of a chronic illness, such as cancer may influence health behavior changes, such as smoking cessation. The present analyses examine associations between a cancer diagnosis (i.e., yes or no) and response to an opt-out smoking cessation bedside intervention provided to hospitalized patients. It was hypothesized that patients with a past or present cancer diagnosis would report higher motivation and engagement with quitting smoking, and higher rates of smoking abstinence after hospital discharge, compared to those without a cancer diagnosis.

METHODS

Chart review was conducted on 5287 inpatients who accepted bedside treatment from a counselor and opted-in to automated follow-up calls from July 2014 to December 2019.

RESULTS

At the time of inpatient assessment, those with a past or present cancer diagnosis (n = 419, 7.9%) endorsed significantly higher levels of importance of quitting than those without a cancer diagnosis (3.92/5 vs. 3.77/5), and were more likely to receive smoking cessation medication upon discharge (17.9% vs. 13.3%). Follow-up data from 30-days post-discharge showed those with a cancer diagnosis endorsed higher rates of self-reported abstinence (20.5%) than those without a cancer diagnosis (10.3%; p < 0.001).

CONCLUSION

Being hospitalized for any reason provides an opportunity for smokers to consider quitting. Having a previous diagnosis of cancer appears to increase intention to quit and lead to higher rates of smoking cessation in patients who are hospitalized compared to patients without cancer. Future research needs to work toward optimizing motivation for smoking cessation while admitted to a hospital and on improving quit rates for all admitted patients, regardless of diagnosis.

Breast Cancer (BC) Is a Window of Opportunity for Smoking Cessation: Results of a Retrospective Analysis of 1234 BC Survivors in Follow-Up Consultation

Breast cancer (BC) is the most commonly diagnosed type of cancer and the leading cause of cancer deaths in women. Smoking is the principal modifiable risk factor for cancers and has a negative influence on long-term survival. We conducted a retrospective study on consecutive BC survivors seen at follow-up consultations between 3 June and 30 October 2019 at Institut Curie, Paris, France. Smoking behaviors were evaluated prospectively via interviewer-administered questionnaires. The aim of this study was to describe smoking-related patient care at diagnosis and smoking cessation patterns in women with a history of BC. A total of 1234 patients were included in the study. Smoking status at diagnosis was missing from electronic health records in 32% of cases, including 13% of patients who smoke. Only 20% of the 197 patients currently smoking at diagnosis recalled having a discussion about smoking with a healthcare professional. Radiotherapists and surgeons were more likely to talk about complications than other practitioners. The main type of information provided was general advice to stop smoking (n = 110), followed by treatment complications (n = 48), while only five patients were referred to tobaccologists. Since diagnosis, 33% (n = 65) of the patients currently smoking had quit. Patients who quit had a lower alcohol consumption, but no other factor was associated with smoking cessation. The main motivation for tobacco withdrawal was the fear of BC relapse (63%). This study highlights room for improvement in the assessment of smoking behavior. Our data raise important perspectives for considering BC treatment and follow-up as a window of opportunity for smoking cessation.

The characteristics of patients who quit smoking in the year following a cancer diagnosis

PURPOSE

Continued tobacco smoking following a cancer diagnosis is associated with adverse outcomes. Our study aims to identify the demographic and clinical characteristics of survivors who quit smoking within a year of diagnosis.

METHODS

We conducted a secondary analysis of the Measuring Your Health (MY-Health) study, a community-based survey cohort of 5506 cancer patients registered across four Surveillance, Epidemiology, and End Results (SEER) cancer registries. Using surveys completed 6-13 months after diagnosis, we identified 868 participants who reported smoking around the time of cancer diagnosis and compared their current smoking status. We employed logistic regression models to predict current smoking status, adjusting for clinical and demographic variables.

RESULTS

The overall smoking cessation rate was 35% (n = 306). Survivors with non-small cell lung cancer were three times more likely to quit smoking compared to patients with non-smoking-related cancers (aOR = 3.23, 95% CI = 2.20-4.74). Participants with advanced stage cancer reported higher odds of quitting compared to those with localized cancer (aOR = 1.42, 95% CI = 1.02-1.96). Other characteristics that predicted quitting included being married, higher education level, and female sex (aOR = 2.01, 95% CI = 1.46-2.77; aOR = 1.74, 95% CI = 1.27-2.39; aOR = 1.54, 95% CI = 1.11-2.13, respectively).

CONCLUSIONS

This is one of the first studies to examine smoking cessation trends in a community-based, US cancer cohort during the year after diagnosis. Survivors with lung cancer and advanced cancer were significantly more likely to quit smoking.

IMPLICATIONS FOR CANCER SURVIVORS

Practitioners may use this knowledge to target interventions and address substantial disparities in cessation rates among survivors with early stage and non-lung cancers.

Dysplasia and DNA ploidy to prognosticate clinical outcome in oral potentially malignant disorders

BACKGROUND

Oral potentially malignant disorders are a clinical conundrum as there are no reliable methods to predict their behaviour. We combine conventional oral epithelial dysplasia grading with DNA ploidy analysis to examine the validity of this approach to risk assessment in a cohort of patients with known clinical outcomes.

METHODS

Sections from diagnostic biopsies were assessed for oral epithelial dysplasia using the WHO grading system, and DNA ploidy analysis was performed using established methods. Patients reviewed for a minimum of 5 years who did not develop oral squamous cell carcinoma were classified as "non-transforming" cases. Patients that developed oral squamous cell carcinoma ≥ 6 months after the initial diagnostic biopsy were classified as having "malignant transformation."

RESULTS

Ninety cases were included in the study. Seventy cases yielded informative DNA ploidy results. Of these 70 cases, 31 progressed to cancer. Oral epithelial dysplasia grading and DNA ploidy status were both significantly associated with clinical outcome (P < 0.05). Severe dysplasia had a hazard ratio of 3.50 (CI: 1.46, 8.45; P = 0.005) compared to cases with mild dysplasia. Aneuploidy had a hazard ratio of 2.09 (CI: 1.01, 4.32; P = 0.046) compared to cases with a diploid/tetraploid status. Receiver operating characteristic analysis gave an area under the curve of 0.617 for DNA ploidy status and 0.688 when DNA ploidy status was combined with dysplasia grading.

CONCLUSION

Our findings suggest that combining dysplasia grading with DNA ploidy status has clinical utility which could be used to develop novel management algorithms.

The cost of failed first-line cancer treatment related to continued smoking in Canada

Background

Smoking by cancer patients and survivors causes adverse cancer treatment outcomes, but little information is available about how smoking can affect cancer treatment costs.

Methods

We developed a model to estimate attributable cancer treatment failure because of continued smoking after a cancer diagnosis (afs). Canadian health system data were used to determine the additional treatment cost for afs for the most common cancers in Canada.

Results

Of 206,000 patients diagnosed with cancer annually, an estimated 4789 experienced afs. The annual incremental cost associated with treating patients experiencing afs was estimated at between $198 million and $295 million (2017 Canadian dollars), reflecting an added incremental cost of $4,810-$7,162 per patient who continued to smoke. Analyses according to disease site demonstrated higher incremental costs where the smoking prevalence and the cost of individual second-line cancer treatment were highest. Of breast, prostate, colorectal, and lung cancers, lung cancer was associated with the highest incremental cost for treatment after afs.

Conclusions

The costs associated with afs in Canada after a cancer diagnosis are considerable. Populations in which the smoking prevalence and treatment costs are high are expected to benefit the most from efforts aimed at increasing smoking cessation capacity for patients newly diagnosed with cancer.

Cigarette-smoking characteristics and interest in cessation in patients with head-and-neck cancer

Purpose

Many patients diagnosed with head-and-neck cancer are current or former smokers. Despite the well-known adverse effects of smoking, continuation of smoking during cancer treatment is associated with reduced efficacy of that treatment and with cancer recurrence. In the present study, we examined smoking characteristics in patients with head-and-neck cancer near the time of cancer treatment.

Methods

A prospective cohort of patients with head-and-neck cancer who attended a dental oncology clinic before receiving cancer treatment at a regional cancer centre were invited to participate in a study that involved completing an interviewer-administered questionnaire to assess smoking characteristics, intention to quit, motivation to quit, and strategies perceived to potentially aid in successful cessation.

Results

The study enrolled 493 ever-smokers, with a response rate of 96.1% and a self-reported current smoker rate of 37.1% (n = 183). Most of the current smokers reported high nicotine dependence, with 84.7% (n = 155) indicating a time to first cigarette of 30 minutes or less. Most had previously attempted to quit smoking (77.0%), and many had prior unsuccessful quit attempts before resuming smoking again. Most were interested in quitting smoking (85.8%), and many (70.5%) were seriously considering quitting smoking within the subsequent 30 days.

Conclusions

Patients with head-and-neck cancer reported high nicotine dependence and high interest in cessation opportunities near the time of treatment for cancer. Those results might provide support for provision of smoking cessation opportunities.

Mobile Lung Screening: Should We All Get on the Bus?

BACKGROUND

Despite favorable recommendations, national lung screening adoption remains low (2% to 3%). Patients living in rural areas have additional challenges, including access to lung screening programs. We initiated a mobile lung screening program to serve the rural patients at risk. This is what we learned from this 12-month feasibility project.

METHODS

Utilizing a multidisciplinary approach, we began an 8-month design and build schedule. This was the first build of this type. The operational team included a radiology technician, nurse practitioner, driver with a commercial driver's license, and program developer. Specialized software was used for data mining. Downstream revenue projections were based on previously published Medicare claims data. Generally accepted accounting principles were used.

RESULTS

The prototype bus was delivered January 2018. During the 12-month feasibility period, we performed 548 low-dose lung screenings at 104 sites. Mean patient age was 62 years, mean pack-years of smoking was 41; 258 (47%) were male. Five lung cancers were found in addition to a type B thymoma. Financially, we exceeded the break-even analysis by 28%. The 5-year pro forma using 1 year of actual data and 4 additional years of projected data demonstrated a net present value of 1 million, internal rate of return of 34.6%, and profitability index of 2.2-all highly dependent on downstream revenue.

CONCLUSIONS

Although challenges exist, a commercially viable bus and a financially sound mobile program can be developed. However, without a centralized approach for incidental findings, the downstream revenue may be at risk as well as the financial viability of the project.

Leveraging Patient Reported Outcomes Measurement via the Electronic Health Record to Connect Patients with Cancer to Smoking Cessation Treatment

Tobacco use negatively impacts cancer treatment outcomes, yet too few providers actively support their patients in quitting. Barriers to consistently addressing tobacco use and referring to treatment include time constraints and lack of knowledge surrounding treatment options. Patient Reported Outcomes (PRO) measurement is best practice in cancer care and has potential to help address these barriers to tobacco cessation treatment. This descriptive program evaluation study reports preliminary results following implementation of a novel automated PRO tobacco use screener and referral system via the electronic health record (EHR) patient portal (MyChart) that was developed and implemented as a part of a population-based tobacco treatment program at the Robert H. Lurie Comprehensive Cancer Center of Northwestern University. Between 25 June 2019 and 6 April 2020, 4589 unique patients completed the screener and 164 (3.6%) unique patients screened positive for recent (past month) cigarette smoking. All patients who screened positive were automatically referred to a smoking cessation treatment program integrated within the Lurie Cancer Center, and 71 (49.7%) patients engaged in treatment, as defined by completing at least one behavioral counseling session. Preliminary results indicate that the PRO/MyChart system may improve smoker identification and increase offering of treatment and, despite the "cold call" following a positive screen, may result in a treatment engagement rate that is higher than rates of treatment engagement previously documented in oncology settings. Longer term evaluation with formal statistical testing is needed before drawing conclusions regarding effectiveness, but PRO measurement via the EHR patient portal may serve a potentially important role in a multi-component approach to reaching and engaging cancer patients in comprehensive tobacco cessation treatment.

Individual and joint contributions of genetic and methylation risk scores for enhancing lung cancer risk stratification: data from a population-based cohort in Germany

BACKGROUND

Risk stratification for lung cancer (LC) screening is so far mostly based on smoking history. This study aimed to assess if and to what extent such risk stratification could be enhanced by additional consideration of genetic risk scores (GRSs) and epigenetic risk scores defined by DNA methylation.

METHODS

We conducted a nested case-control study of 143 incident LC cases and 1460 LC-free controls within a prospective cohort of 9949 participants aged 50-75 years with 14-year follow-up. Lifetime smoking history was obtained in detail at recruitment. We built a GRS based on 31 previously identified LC-associated single-nucleotide polymorphisms (SNPs) and a DNA methylation score (MRS) based on methylation of 151 previously identified smoking-associated cytosine-phosphate-guanine (CpG) loci. We evaluated associations of GRS and MRS with LC incidence by logistic regression models, controlling for age, sex, smoking status, and pack-years. We compared the predictive performance of models based on pack-years alone with models additionally including GRS and/or MRS using the area under the receiver operating characteristic curve (AUC), net reclassification improvement (NRI), and integrated discrimination improvement (IDI).

RESULTS

GRS and MRS showed moderate and strong associations with LC risk even after comprehensive adjustment for smoking history (adjusted odds ratio [95% CI] comparing highest with lowest quartile 1.93 [1.05-3.71] and 5.64 [2.13-17.03], respectively). Similar associations were also observed within the risk groups of ever and heavy smokers. Addition of GRS and MRS furthermore strongly enhanced LC prediction beyond prediction by pack-years (increase of optimism-corrected AUC among heavy smokers from 0.605 to 0.654, NRI 26.7%, p = 0.0106, IDI 3.35%, p = 0.0036), the increase being mostly attributable to the inclusion of MRS.

CONCLUSIONS

Consideration of MRS, by itself or in combination with GRS, may strongly enhance LC risk stratification.

Factors associated with abstinence after a recent smoking cessation attempt across 28 European Union member states

INTRODUCTION

There is a lack of information regarding factors associated with successful smoking cessation on a population and European Union (EU)-wide level. Our study seeks to explore individual and country-level factors associated with abstinence after a recent smoking cessation attempt across the EU.

METHODS

We obtained data from the March 2017 Special Eurobarometer 87.1 (n=27901). Regression analysis was performed on a subset of 1472 individuals who made quit attempts in the past 12 months. Sociodemographic, policy and country-level factors were assessed using logistic regression among smokers and ex-smokers who attempted to quit approximately 12 months before the survey date. We defined and examined the Cessation Ratio (ratio of number of recent quitters to those who did not succeed) across 28 EU Member States.

RESULTS

In all, 14.9% (n=1018) of current smokers and 8.80% (n=454) of ex-smokers attempted to quit in approximately the last 12 months (n=1472). Cessation Ratios ranged from 0.182 (95% CI: 0.045–0.319) in Estonia to 1.060 (95% CI: 0.262–1.860) in Sweden. There is a quadratic, U-shaped relationship between odds of quitting and smoking prevalence. The lowest odds of cessation were observed at a prevalence of 26.3%, with higher odds of cessation observed above and below this point. Respondents who reported financial difficulties were less likely to quit (AOR=0.66; 95% CI: 0.52–0.83). There was no association of likelihood of success with other sociodemographic factors or the Tobacco Control Scale treatment score.

CONCLUSIONS

These findings highlight a need for exploring reasons behind the variation in likelihood of abstinence following a recent quit attempt, in order to design policies targeted at population groups or countries that need greater support.

Tobacco and E-cigarette use among cancer survivors in the United States

Background

Limited information exist on tobacco and e-cigarette use patterns in cancer survivors. The purpose of this study is to report on use patterns in cancer survivors compared with non-cancer participants from the Population Assessment of Tobacco and Health (PATH) Study.

Methods

Sociodemographic data and tobacco product use were analyzed for 32,244 adult participants from the PATH Study in 2013–2014 by cancer status and age. Logistic regression examined the patterns of and factors associated with tobacco use by cancer status.

Results

Overall, cancer survivors represented 7.1% (n = 1,527) of participants, were older, and had a higher proportion of females and non-Hispanic whites than non-cancer participants. In cancer survivors, current and former cigarette smoking was reported in 12.7% and 32.9% respectively, compared with 18.5% and 19.0% in non-cancer adults. Current e-cigarette use was reported by 3.8% of survivors compared with 5.7% of non-cancer participants. Dual tobacco use was reported by 25.0% and poly use by 6.9% of cancer survivors who currently smoked. All other forms of current tobacco use were individually reported by <5% of survivors. Young adult cancer survivors (aged 18–44) reported the highest rates of current cigarette smoking (27.9%) and current e-cigarette use (11.8%). The effects of age, sex, race/ethnicity, education, and income on tobacco use status were comparable for cancer survivors and non-cancer participants. Cancer survivors who were younger, male, of lower educational attainment, and those diagnosed with a tobacco-related cancer were more likely to report current tobacco use.

Conclusions

Among cancer survivors, cigarette smoking remains the predominant form of tobacco use, although other tobacco/nicotine use and dual/poly use are common. The PATH Study provides detailed tobacco product use patterns in survivors, including their adoption of emerging alternative tobacco products.

Evaluation of a Dedicated Tobacco Cessation Support Service for Thoracic Cancer Center Patients

CONTEXT

Cancer patients' continued tobacco use results in poorer therapeutic outcomes including decreased quality of life and survival.

OBJECTIVE

To assess reach and impact of a free, opt-out, telephone-based tobacco cessation program for thoracic cancer center patients.

DESIGN

Observational study.

SETTING

Comprehensive Cancer Center in Western New York.

PARTICIPANTS

Current or recent (within past 30 days) tobacco-using thoracic cancer center patients referred to a tobacco cessation support service between October 2010 and October 2012 at a Comprehensive Cancer Center (n = 942/1313 referrals were eligible for cessation support).

INTERVENTION

A free, opt-out, telephone-based cessation service that was implemented as standard of care. Cessation specialists had patient-guided conversations that assessed readiness to quit; methods used in the past provided cessation strategies and worked to set up a quit date. There was an average of 35.9 days between referral and first contact.

MAIN OUTCOME MEASURES

Program reach (referral and participation rates) and impact (as self-reported cessation outcomes measured twice after referral).

RESULTS

Of 942 patients, 730 (77.5%) referred to and called by a tobacco cessation service participated in at least 1 cessation support call, of which 440 of 730 (60.3%) were called for follow-up and 89.5% (394/440) participated. In total, 20.2% (69/342) of current smokers at referral reported at least 7-day abstinence at follow-up. Among current smokers at referral and first contact, being married (odds ratio [OR] = 2.05; 95% confidence interval [CI], 1.01-4.18) and having a lower Eastern Cooperative Oncology Group (ECOG) performance score (OR = 4.05; 95% CI, 1.58-10.39) were associated with quitting at follow-up, after controlling for demographic, clinical, and health behavior characteristics.

CONCLUSIONS

Our results demonstrate that 78% of thoracic cancer center patients, if contacted, participated at least once in this cessation support service; for current smokers at referral and first contact, being married and having a lower ECOG performance score were associated with self-reported quitting at follow-up. Other organizations may find our results useful while implementing a systematic way to identify tobacco-using patients as part of routine care and to improve available cessation support services.

Voice and Lifestyle Behaviors of Student Actors: Impact of History Gathering Method on Self-Reported Data

OBJECTIVES

This study described voice use and lifestyle information about student actors and assessed whether different information is reported at study intake compared to data extracted from a 3-week voice Log.

METHODS

Twenty-five student actors estimated 14 voice and life style parameters at the start of the study. These included daily speaking time, performance time, vocal warm-up, and cool-down time; intake of water, caffeine, and alcohol; perceived voice effort (speaking and performance), among other items. The same parameters were tracked by the actor for 21 consecutive days. Nonparametric statistical comparisons of the estimates at intake to the median estimate from 21 days were applied.

RESULTS

Student actors reported frequent yelling (48%), frustration, anxiety, and depression about their voice (52%, 48%, and 16%), issues with breath support (56%), vocal fatigue (36%), and mild-moderate effort in the speaking (24%) and performance voice (70%). Estimates at study intake statistically overestimated daily speaking, performance, and vocal warm-up time compared to the 3-week Log. Intake reporting underestimated perceived effort in the speaking voice. Intake reporting of vocal fatigue and voice quality did not closely correspond to the Log data.

CONCLUSION

Student actors reported a number of voice use and lifestyle behaviors that may increase their risk for voice problems. Additionally, the method of soliciting the history altered the information reported by the students for several parameters. The findings highlight the need to develop history gathering or other methods that optimize accuracy and reliability of the information sought.

Continued smoking after a cancer diagnosis: a longitudinal study of intentions and attempts to quit

PURPOSE

Continued smoking after a cancer diagnosis is associated with poor treatment outcomes and reduced life expectancy. We aimed to identify the stability of smoking status after diagnosis including quit attempts and quit intentions.

METHODS

Participants with a first primary cancer diagnosis were recruited via two state-based registries in Australia. Questionnaires were mailed at approximately 6 months (T1), 1 year (T2), 2 years (T3), and 3.5 years (T4) post-diagnosis. Smoking status and quitting intentions were assessed at each time point.

RESULTS

A cohort of 1444 people was recruited. People who indicated that they were more than 9 months post-diagnosis are excluded from analysis, leaving 1407 eligible study participants. Sixty-six (37%) of the 178 self-reported smokers at diagnosis had quit in the 6-month post-diagnosis (T1), the remaining 112 (63%) reported being a current smoker. Of the smokers at T1, 40% intended to quit: with 8% having quit smoking by T2; 11% quit by T3; 12% quit by T4. Of those who reported at T1 that they intended to quit in the next 6 months, 10% or fewer reported having quit at any subsequent time point. Quitting attempts decreased in frequency over time post-diagnosis. Less than 15% of respondents who had quit at or shortly before diagnosis reported relapse to smoking at each time point.

CONCLUSIONS

The majority of smokers diagnosed with cancer continue to smoke beyond diagnosis, even in the context of an intention to quit and attempts to do so. Cancer survivors who smoke remain motivated to quit well beyond the initial diagnosis.

IMPLICATIONS FOR CANCER SURVIVORS

There are clear positive clinical effects of smoking cessation for those who have undergone treatment for cancer, both for short-term treatment outcomes, and for long-term survivorship. Given the substantial rates of continued smoking among those who report smoking at diagnosis and their continued attempts to quit during survivorship, there is a need for improved cessation support initiatives for people diagnosed with cancer. These initiatives need to continue to be offered to smokers long after the initial diagnosis and treatment.

Positive plasma cotinine during platinum-based chemotherapy is associated with poor response rate in advanced non-small cell lung cancer patients

INTRODUCTION

Patients with advanced non-small cell lung cancer (NSCLC) are most of the time treated with a first-line cytotoxic chemotherapy. Tobacco use is responsible for 90% of lung cancer. The aim of this study was to evaluate the impact of smoking continuation during first-line chemotherapy on tumor response in advanced-stage NSCLC.

MATERIALS AND METHODS

All patients with an advanced-stage NSCLC (IIIb or IV), treated with first-line platinum-based chemotherapy in our Department between June 2013 and July 2017 were included. Smoking status was assessed at inclusion by self-report, then at the tumor assessment consultation after 2 months of treatment, by both self-report and plasmatic cotinine measurement. Chemotherapy response, progression-free survival (PFS), overall survival (OS) and stage 3-4 toxicity were registered.

RESULTS

Ninety-seven patients were included: 8 (8%) declared to be non-smokers, 56 (58%) current smokers and 33 (34%) former smokers at diagnosis. At the first tumor evaluation, 24 (25%) self-reported as active smokers and 73 (75%) as non-smokers; overall response rate (ORR) was respectively 38% and 48% (p = 0.373). Fifty-four patients had a plasmatic cotinine evaluation at the first tumor evaluation. Seventeen patients (32%) had a positive cotinine rate (median 108ng/mL, IQR 31-236). Six patients (35%) had positive cotinine rate whereas declaring to be non-smokers at the first tumor evaluation. ORR was 18% in case of positive cotinine rate, and 57% when negative (p = 0.007). Regardless of the method for smoking status evaluation, PFS, OS and grade 3-4 toxicities were similar between smoker and non-smoker patients at the first tumor evaluation.

CONCLUSION

Smoking continuation during platinum-based chemotherapy, reflected by positive plasma cotinine rate, was associated with a poor ORR.

Joint effects of intensity and duration of cigarette smoking on the risk of head and neck cancer: A bivariate spline model approach

OBJECTIVES

This study aimed at re-evaluating the strength and shape of the dose-response relationship between the combined (or joint) effect of intensity and duration of cigarette smoking and the risk of head and neck cancer (HNC). We explored this issue considering bivariate spline models, where smoking intensity and duration were treated as interacting continuous exposures.

MATERIALS AND METHODS

We pooled individual-level data from 33 case-control studies (18,260 HNC cases and 29,844 controls) participating in the International Head and Neck Cancer Epidemiology (INHANCE) consortium. In bivariate regression spline models, exposures to cigarette smoking intensity and duration (compared with never smokers) were modeled as a linear piecewise function within a logistic regression also including potential confounders. We jointly estimated the optimal knot locations and regression parameters within the Bayesian framework.

RESULTS

For oral-cavity/pharyngeal (OCP) cancers, an odds ratio (OR) >5 was reached after 30 years in current smokers of ∼20 or more cigarettes/day. Patterns of OCP cancer risk in current smokers differed across strata of alcohol intensity. For laryngeal cancer, ORs >20 were found for current smokers of ≥20 cigarettes/day for ≥30  years. In former smokers who quit ≥10  years ago, the ORs were approximately halved for OCP cancers, and ∼1/3 for laryngeal cancer, as compared to the same levels of intensity and duration in current smokers.

CONCLUSION

Referring to bivariate spline models, this study better quantified the joint effect of intensity and duration of cigarette smoking on HNC risk, further stressing the need of smoking cessation policies.

Dose-risk relationships between cigarette smoking and ovarian cancer histotypes: a comprehensive meta-analysis

PURPOSE

Although smoking has not been associated with overall ovarian cancer risk, a different impact on various histotypes has been reported. Our aim is to provide an accurate, up-to-date estimate of the dose-risk relationships between cigarette smoking and epithelial ovarian cancer, overall and by histotypes.

METHODS

Using an innovative approach for the identification of original study publications, we conducted a systematic review and meta-analysis of epidemiological studies published on the topic until September 2018. Summary relative risks (RR) for cigarette smoking were estimated using random-effects models; dose-risk relationships were evaluated using one-stage random-effects models with restricted cubic splines.

RESULTS

Thirty-seven studies were considered in the meta-analysis. The summary RRs for current versus never smokers were 1.05 (95% confidence interval CI 0.95-1.16) for overall ovarian cancer, 1.78 (95% CI 1.52-2.07) for mucinous, 0.77 (95% CI 0.65-0.93) for clear cell, 0.81 (95% CI 0.73-0.91) for endometrioid, and 1.05 (95% CI 0.94; 1.17) for serous cancer. The risk of borderline mucinous (RR 2.09) and serous (RR 1.16) tumors was higher than for invasive cancers (RR 1.44 and 0.95, respectively). For mucinous cancer, risk was noticeably higher with smoking intensity and duration (RR 2.35 for 20 cigarettes/day, and 2.11 for 20 years of smoking). A non-significant linear relation was found with smoking intensity, duration, and time since quitting for overall ovarian cancer and other histotypes.

CONCLUSIONS

This uniquely large and comprehensive meta-analysis confirms that although cigarette smoking does not appear to be a risk factor for ovarian cancer, and it is even slightly protective for some rare histotypes, there is a strong dose-risk relationship with mucinous ovarian cancer.

Attributable Failure of First-line Cancer Treatment and Incremental Costs Associated With Smoking by Patients With Cancer

IMPORTANCE

Previous studies have shown that continued smoking among patients with cancer can increase overall and cancer-specific mortality, risk for second primary cancer, and risk for toxic effects of cancer treatment. To our knowledge, there have been no efforts to estimate additional costs for cancer treatment attributed to smoking.

OBJECTIVE

To model attributable incremental costs of subsequent cancer treatment associated with continued smoking by patients with cancer.

DESIGN, SETTING, AND PARTICIPANTS

For this economic evaluation, a model was developed in 2018 using data from a 2014 US Surgeon General's report that considered expected failure rates of first-line cancer treatment in nonsmoking patients, smoking prevalence, odds ratio of first-line cancer treatment failure attributed to smoking compared with nonsmoking, and cost of cancer treatment after failure of first-line cancer treatment.

MAIN OUTCOMES AND MEASURES

Attributable failures of first-line cancer treatment and incremental cost for subsequent treatment associated with continued smoking among patients with cancer.

RESULTS

Attributable treatment failures were higher under conditions in which high first-line cure rates were expected in nonsmoking patients compared with conditions in which low cure rates were expected. Peak attributable failures occurred under the conditions in which expected cure rates among nonsmoking patients ranged from 50% to 65%. Under the conditions of a 30% expected treatment failure rate among nonsmoking patients, 20% smoking prevalence, 60% increased risk of failure of first-line cancer treatment, and $100 000 mean added cost of treating a first-line cancer treatment failure, the additional incremental cost per 1000 total patients was estimated to be $2.1 million, reflecting an additional cost of $10 678 per smoking patient. Extrapolation of cost to 1.6 million patients with cancer diagnosed annually reflects a potential $3.4 billion in incremental cost.

CONCLUSIONS AND RELEVANCE

The findings suggest that continued smoking among patients with cancer and the increase in attributable first-line cancer treatment failure is associated with significant incremental costs for subsequent cancer treatments. Additional work appears to be needed to identify optimal methods to mitigate these incremental costs.

Efficacy of Mobile Phone-Delivered Smoking Cessation Interventions for Socioeconomically Disadvantaged Individuals: A Randomized Clinical Trial

IMPORTANCE

Limited evidence supports mobile phone-delivered cessation interventions for socioeconomically disadvantaged individuals.

OBJECTIVE

To assess the efficacy of mobile phone-delivered cessation interventions targeted to smokers at neighborhood sites serving racial/ethnic minority and socioeconomically disadvantaged individuals.

DESIGN, SETTING, AND PARTICIPANTS

This group-randomized clinical trial with neighborhood site serving as the sampling unit compared smoking cessation interventions that included (1) nicotine replacement therapy (NRT), (2) NRT plus text messaging, and (3) NRT plus text messaging plus proactive counseling via mobile phone. Recruitment took place at churches, public housing complexes, and community centers located throughout the Houston, Texas, area. A total of 624 current cigarette smokers 18 years or older were enrolled at neighborhood sites from August 13, 2011, through December 12, 2014. Final follow-up was completed on June 12, 2015, and data were analyzed from August 17, 2017, through May 10, 2018, based on intention to treat.

INTERVENTIONS

Nicotine replacement therapy consisted of transdermal nicotine patches; NRT plus text messages, transdermal nicotine patches and individually tailored mobile phone text messages; and NRT plus text plus call, transdermal patches, individually tailored mobile phone text messages, and proactive counseling via mobile phone.

MAIN OUTCOMES AND MEASURES

The primary outcome was smoking abstinence at 6 months, defined as (1) biochemically verified smoking abstinence (calculated among a subgroup of 377 participants) as determined by saliva cotinine level; and (2) self-reported 30-day abstinence (calculated among all 624 participants).

RESULTS

The study sample included 624 current cigarette smokers (50.6% female; mean [SD] age, 45.8 [12.8] years). Among the 377 participants eligible for biochemical verification, 127 self-reported 30-day abstinence and were asked to provide saliva samples. Of these, 98 samples were returned (participants who did not return samples were coded as smoking). Biochemically verified abstinence rates were 12.0% for NRT, 12.0% for NRT plus text, and 25.5% for NRT plus text plus call. Participants in the NRT plus text plus call group were 2.11 (95% CI, 1.00-4.48) times more likely to be biochemically verified as abstinent compared with the NRT group. No differences in biochemically verified abstinence between the NRT plus text group and the NRT group were observed. Similar associations were observed with the self-report cessation outcomes.

CONCLUSIONS AND RELEVANCE

Findings indicate that assignment to an intervention consisting of text messaging alone may not increase cessation rates for socioeconomically disadvantaged smokers. However, text messaging plus proactive counseling may be an efficacious option.

TRIAL REGISTRATION

ClinicalTrials.gov identifier: NCT00948129.

Use of electronic cigarettes in the perioperative period: A mixed-method study exploring perceptions of cardiothoracic patients in Australia

INTRODUCTION

Electronic cigarettes (e-cigarettes) may reduce tobacco use and achieve tobacco abstinence in the perioperative period of cardiothoracic surgery for patients who smoke. However, research on patients' views on the role of e-cigarettes as a smoking cessation tool is lacking. This mixed-methods study explored perceptions on the use of e-cigarettes among current smokers and ex-smokers awaiting cardiothoracic surgery in Australia.

METHODS

A cross-sectional study and semi-structured interviews were conducted with 62 patients who were diagnosed with coronary artery disease or lung cancer and were scheduled for elective cardiothoracic surgery at six metropolitan hospitals in Sydney. Data were collected on demographic characteristics, smoking history, surgical risk index, self-efficacy, interest in, perceived benefits of, and barriers to using e-cigarettes in the perioperative period.

RESULTS

Current smokers reported significantly higher interest in the use of e-cigarettes (p=0.008), and perceived fewer barriers (p=0.048) and more health benefits (p=0.079), compared to ex-smokers. Current smokers considered e-cigarettes to be either a safer alternative to tobacco or a novel method for quitting. Recent ex-smokers, defined as those who quit 2-8 weeks, were a distinct group with high nicotine dependency, a long history of smoking, and multiple failed quit attempts. Compared to longer-term ex-smokers (8-52 weeks quit), recent ex-smokers were more interested in e-cigarettes (p=0.029) and considered e-cigarettes a useful aid to prevent relapse in the lead up to surgery and to manage their nicotine cravings.

CONCLUSIONS

E-cigarettes may be considered a short-term novel aid and a bridge to evidence-based methods to reduce harm from continued tobacco use for some patients awaiting cardiothoracic surgery for coronary artery disease or lung cancer. This study presents reasons why patients awaiting cardiothoracic surgery may enquire about or use e-cigarettes, which will help clinicians identify those who need more consistent, sustained cessation support.

Tobacco smoking and alcohol drinking at diagnosis of head and neck cancer and all-cause mortality: Results from head and neck 5000, a prospective observational cohort of people with head and neck cancer

Tobacco smoking and alcohol consumption are well-established risk factors for head and neck cancer. The prognostic role of smoking and alcohol intake at diagnosis have been less well studied. We analysed 1,393 people prospectively enrolled into the Head and Neck 5000 study (oral cavity cancer, n=403; oropharyngeal cancer, n=660; laryngeal cancer, n=330) and followed up for a median of 3.5 years. The primary outcome was all-cause mortality. We used Cox proportional hazard models to derive minimally adjusted (age and gender) and fully adjusted (age, gender, ethnicity, stage, comorbidity, body mass index, HPV status, treatment, education, deprivation index, income, marital status, and either smoking or alcohol use) mortality hazard ratios (HR) for the effects of smoking status and alcohol intake at diagnosis. Models were stratified by cancer site, stage and HPV status. The fully-adjusted HR for current versus never-smokers was 1.7 overall (95% confidence interval [CI] 1.1, 2.6). In stratified analyses, associations of smoking with mortality were observed for oropharyngeal and laryngeal cancers (fully adjusted HRs for current smokers: 1.8 (95% CI=0.9, 3.40 and 2.3 (95% CI=0.8, 6.4)). We found no evidence that people who drank hazardous to harmful amounts of alcohol at diagnosis had a higher mortality risk compared to non-drinkers (HR=1.2 (95% CI=0.9, 1.6)). There was no strong evidence that HPV status or tumour stage modified the association of smoking with survival. Smoking status at the time of a head and neck cancer diagnosis influenced all-cause mortality in models adjusted for important prognostic factors.

Biospecimens and the ABCD study: Rationale, methods of collection, measurement and early data

Biospecimen collection in the Adolescent Brain Cognitive Development (ABCD) study - of hair samples, shed deciduous (baby) teeth, and body fluids - will serve dual functions of screening for study eligibility, and providing measures of biological processes thought to predict or correlate with key study outcomes on brain and cognitive development. Biosamples are being collected annually to screen for recency of drug use prior to the neuroimaging or cognitive testing visit, and to store for the following future studies: (1) on the effects of exposure to illicit and recreational drugs (including alcohol and nicotine); (2) of pubertal hormones on brain and cognitive developmental trajectories; (3) on the contribution of genomics and epigenomics to child and adolescent development and behavioral outcomes; and (4) with pre- and post-natal exposure to environmental neurotoxicants and drugs of abuse measured from novel tooth analyses. The present manuscript describes the rationales for inclusion and selection of the specific biospecimens, methodological considerations for each measure, future plans for assessment of biospecimens during follow-up visits, and preliminary ABCD data to illustrate methodological considerations.

Associations between the smoking-relatedness of a cancer type, cessation attitudes and beliefs, and future abstinence among recent quitters

OBJECTIVE

Smoking after a diagnosis of cancer can negatively impact treatment outcomes and quality of life. It is important that patients quit smoking and remain abstinent regardless of cancer type. Some cancer types (eg, lung) have stronger links to smoking as a cause than do others (eg, colorectal). The aims of this study were to (1) assess associations between smoking-relatedness of the cancer type with beliefs and attitudes concerning smoking abstinence (eg, confidence, self-efficacy), and (2) assess these variables as predictors of future abstinence.

METHODS

In this secondary analysis, cancer patients (N = 357) who quit smoking within the previous 90 days were assigned a code of 3, 2, or 1 according to the cancer type's level of smoking-relatedness: Very related (n = 134, thoracic and head and neck), Somewhat related (n = 93, acute myeloid leukemia, bladder, cervix, colorectal, esophageal, kidney, liver, pancreas, and stomach), and Unlikely related (n = 137, all other cancer types).

RESULTS

Smoking-relatedness was positively associated with plan to stay smoke-free, maximum confidence in being smoke-free in 6 months, higher abstinence self-efficacy, and lower expected difficulty in staying smoke-free. Each of the 4 beliefs and attitude variables predicted abstinence 2 months later. Smoking-relatedness also predicted abstinence in a univariate model, but not in a multivariable model with the belief and attitude variables. Using backwards stepwise procedures, the final model included plan to stay smoke-free, confidence in being smoke-free, and abstinence self-efficacy.

CONCLUSION

These results are consistent with our conceptualization of cessation motivation differing by smoking-relatedness of the cancer type and predicting future abstinence.

Patient Cessation Activity after Automatic Referral to a Dedicated Cessation Support Service

INTRODUCTION

We characterized tobacco use, cessation patterns, and patient satisfaction with a cessation support program at an NCI Designated Comprehensive Cancer Center following a mandatory tobacco assessment and automatic referral.

METHODS

A 3-month follow-up survey (via web, paper, or telephone) was administered between March 2013 and November 2013 for all patients referred to and contacted by a cessation support service, and who consented to participation three months prior to administration. Patients were asked about their perceived importance and self-efficacy to quit smoking, quit attempts, and satisfaction with the cessation service.

RESULTS

Fifty-two percent (257/499) of patients who participated in the cessation support service, and consented to be contacted again, completed a follow-up survey. Of those who participated, 9.7% were referred to the service as having recently quit tobacco (in the past 30 days) and 23.6% reported having quit at the time of first contact. At the 3-month follow-up, 48.1% reported being smoke-free for the previous seven days. When patients were asked about their experience with the cessation service, 86.4% reported being very or mostly satisfied with the service, and 64.3% reported that their experience with the service increased their satisfaction with the care received at the cancer centre.

CONCLUSIONS

Our findings suggest that recently diagnosed cancer patients are aware that quitting tobacco is important, are making attempts to quit, and are amenable to an opt-out automatic referral cessation support service as part of their cancer care.

Positive Affect as a Predictor of Smoking Cessation and Relapse: Does It Offer Unique Predictive Value among Depressive Symptom Domains?

BACKGROUND

Prior studies have suggested that, among the domains of depressive symptoms, low positive affect (PA) may have a distinct relationship with smoking cessation and relapse. However, the empirical basis for PA-focused interventions cessation is limited, with some mixed findings.

OBJECTIVES

Using a large, diverse sample of treatment-seeking smokers, this study tested the hypothesis that PA adds unique predictive value beyond the effects of the other symptom domains in models of cessation and relapse.

METHODS

Adult smokers participating in a smoking cessation trial (n = 450) were included in this post hoc analysis. Cessation outcomes included smoking abstinence at end of treatment and at 6-month follow-up. Relapse was defined as recurrence of smoking at 6-month follow-up among the end-of-treatment abstainers. Depressive symptoms were assessed at baseline using the Center for Epidemiologic Studies-Depression (CES-D) scale.

RESULTS

With the exception of PA, all of the CES-D domains predicted reduced likelihood of smoking abstinence at end of treatment and cotinine-confirmed (but not self-reported) abstinence at 6 months, as did total CES-D score (all p-values < .05). None of the symptom domains predicted relapse. Conclusions/Importance: Our results provide further evidence that current depressive symptoms predict worse cessation outcomes, but they fail to support recent work suggesting that low PA has incremental predictive value for cessation or relapse beyond the other depressive symptom domains. To improve quit rates for smokers with depressive symptoms, evidence-based mood management interventions should be included in treatment planning.

Oncologist provision of smoking cessation support: A national survey of Australian medical and radiation oncologists

AIM

Continued smoking in patients diagnosed with cancer affects treatment outcomes and overall survival. With national surveys of Australian medical oncologists (MO) and radiation oncologists (RO) we sought to determine current clinical practices, preferences and barriers in providing patient smoking cessation support.

METHODS

Oncologist members of the Medical Oncology Group of Australia (n = 452) and Trans-Tasman Radiation Oncology Group (n = 230) were invited to participate in a multiple choice survey exploring smoking cessation practices and beliefs.

RESULTS

The survey response rate was 43%. At first consultations more than 90% of MO and RO regularly asked patients if they smoke or use tobacco products, closely followed by documentation of duration of smoking history and current level of consumption. Less common was asking the patient if they intended to quit (MO 63%, RO 53%) and advising cessation (MO 70%, RO 72%). Less than 50% of oncologists regularly asked about current smoking in follow-up consultations. Although a range of referral options for smoking cessation care were used by oncologists, only 2% of MO and 3% of RO actively managed the patients' smoking cessation themselves and this was the least preferred option. The majority believed they require more training in cessation interventions (67% MO, 57% RO) and cited multiple additional barriers to providing cessation care.

CONCLUSIONS

Oncologists strongly prefer smoking cessation interventions to be managed by other health workers. A collaborative approach with other health professionals is needed to aid the provision of comprehensive smoking cessation care tailored to patients with cancer.

Selenium for preventing cancer

BACKGROUND

This review is the third update of the Cochrane review "Selenium for preventing cancer". Selenium is a naturally occurring element with both nutritional and toxicological properties. Higher selenium exposure and selenium supplements have been suggested to protect against several types of cancer.

OBJECTIVES

To gather and present evidence needed to address two research questions:1. What is the aetiological relationship between selenium exposure and cancer risk in humans?2. Describe the efficacy of selenium supplementation for cancer prevention in humans.

SEARCH METHODS

We updated electronic searches of the Cochrane Central Register of Controlled Trials (CENTRAL; 2017, Issue 2), MEDLINE (Ovid, 2013 to January 2017, week 4), and Embase (2013 to 2017, week 6), as well as searches of clinical trial registries.

SELECTION CRITERIA

We included randomised controlled trials (RCTs) and longitudinal observational studies that enrolled adult participants.

DATA COLLECTION AND ANALYSIS

We performed random-effects (RE) meta-analyses when two or more RCTs were available for a specific outcome. We conducted RE meta-analyses when five or more observational studies were available for a specific outcome. We assessed risk of bias in RCTs and in observational studies using Cochrane's risk assessment tool and the Newcastle-Ottawa Scale, respectively. We considered in the primary analysis data pooled from RCTs with low risk of bias. We assessed the certainty of evidence by using the GRADE approach.

MAIN RESULTS

We included 83 studies in this updated review: two additional RCTs (10 in total) and a few additional trial reports for previously included studies. RCTs involved 27,232 participants allocated to either selenium supplements or placebo. For analyses of RCTs with low risk of bias, the summary risk ratio (RR) for any cancer incidence was 1.01 (95% confidence interval (CI) 0.93 to 1.10; 3 studies, 19,475 participants; high-certainty evidence). The RR for estimated cancer mortality was 1.02 (95% CI 0.80 to 1.30; 1 study, 17,444 participants). For the most frequently investigated site-specific cancers, investigators provided little evidence of any effect of selenium supplementation. Two RCTs with 19,009 participants indicated that colorectal cancer was unaffected by selenium administration (RR 0.99, 95% CI 0.69 to 1.43), as were non-melanoma skin cancer (RR 1.16, 95% CI 0.30 to 4.42; 2 studies, 2027 participants), lung cancer (RR 1.16, 95% CI 0.89 to 1.50; 2 studies, 19,009 participants), breast cancer (RR 2.04, 95% CI 0.44 to 9.55; 1 study, 802 participants), bladder cancer (RR 1.07, 95% CI 0.76 to 1.52; 2 studies, 19,009 participants), and prostate cancer (RR 1.01, 95% CI 0.90 to 1.14; 4 studies, 18,942 participants). Certainty of the evidence was high for all of these cancer sites, except for breast cancer, which was of moderate certainty owing to imprecision, and non-melanoma skin cancer, which we judged as moderate certainty owing to high heterogeneity. RCTs with low risk of bias suggested increased melanoma risk.Results for most outcomes were similar when we included all RCTs in the meta-analysis, regardless of risk of bias. Selenium supplementation did not reduce overall cancer incidence (RR 0.99, 95% CI 0.86 to 1.14; 5 studies, 21,860 participants) nor mortality (RR 0.81, 95% CI 0.49 to 1.32; 2 studies, 18,698 participants). Summary RRs for site-specific cancers showed limited changes compared with estimates from high-quality studies alone, except for liver cancer, for which results were reversed.In the largest trial, the Selenium and Vitamin E Cancer Trial, selenium supplementation increased risks of alopecia and dermatitis, and for participants with highest background selenium status, supplementation also increased risk of high-grade prostate cancer. RCTs showed a slightly increased risk of type 2 diabetes associated with supplementation. A hypothesis generated by the Nutritional Prevention of Cancer Trial - that individuals with low blood selenium levels could reduce their risk of cancer (particularly prostate cancer) by increasing selenium intake - has not been confirmed. As RCT participants have been overwhelmingly male (88%), we could not assess the potential influence of sex or gender.We included 15 additional observational cohort studies (70 in total; over 2,360,000 participants). We found that lower cancer incidence (summary odds ratio (OR) 0.72, 95% CI 0.55 to 0.93; 7 studies, 76,239 participants) and lower cancer mortality (OR 0.76, 95% CI 0.59 to 0.97; 7 studies, 183,863 participants) were associated with the highest category of selenium exposure compared with the lowest. Cancer incidence was lower in men (OR 0.72, 95% CI 0.46 to 1.14, 4 studies, 29,365 men) than in women (OR 0.90, 95% CI 0.45 to 1.77, 2 studies, 18,244 women). Data show a decrease in risk of site-specific cancers for stomach, colorectal, lung, breast, bladder, and prostate cancers. However, these studies have major weaknesses due to study design, exposure misclassification, and potential unmeasured confounding due to lifestyle or nutritional factors covarying with selenium exposure beyond those taken into account in multi-variable analyses. In addition, no evidence of a dose-response relation between selenium status and cancer risk emerged. Certainty of evidence was very low for each outcome. Some studies suggested that genetic factors might modify the relation between selenium and cancer risk - an issue that merits further investigation.

AUTHORS' CONCLUSIONS

Well-designed and well-conducted RCTs have shown no beneficial effect of selenium supplements in reducing cancer risk (high certainty of evidence). Some RCTs have raised concerns by reporting a higher incidence of high-grade prostate cancer and type 2 diabetes in participants with selenium supplementation. No clear evidence of an influence of baseline participant selenium status on outcomes has emerged in these studies.Observational longitudinal studies have shown an inverse association between selenium exposure and risk of some cancer types, but null and direct relations have also been reported, and no systematic pattern suggesting dose-response relations has emerged. These studies suffer from limitations inherent to the observational design, including exposure misclassification and unmeasured confounding.Overall, there is no evidence to suggest that increasing selenium intake through diet or supplementation prevents cancer in humans. However, more research is needed to assess whether selenium may modify the risk of cancer in individuals with a specific genetic background or nutritional status, and to investigate possible differential effects of various forms of selenium.

Validation of Self-reported Smoking with Urinary Cotinine Levels and Influence of Second-hand Smoke among Conscripts

Accurate identification of smoking behaviour is crucial to monitor the smoking rate. This study used urinary cotinine (UC) as a biomarker to verify the effectiveness of self-reported smoking behaviour among conscripts during recruit training. The influence of second-hand smoke (SHS) on the UC concentration was also analysed. A cross-sectional study was conducted from July 2014 to December 2014. The participants comprised a total of 621 military service and basic military training conscripts. A self-administered questionnaire survey and a urine test were performed to verify the participants’ smoking behaviour. The UC concentration of 100 ng/mL was adopted as the baseline to identify smokers. A high level of consistency was observed between the conscripts’ self-reported results and the results validated by the UC concentrations (the overall kappa coefficient was 0.918). Moreover, the overall sensitivity and specificity were 92.9% and 98.1%, respectively. The sensitivity for the military service conscripts was significantly lower than that for the basic military training conscripts (86.1% vs. 97.5%, P-value = 0.002). For the self-reported nonsmokers among the military service conscripts, SHS exposure was related to their UC concentrations. The method of self-reporting through a questionnaire survey can serve as a tool to assess conscripts’ smoking behaviour.

Prevalence and correlates of light and non-daily smoking in Brazil: Results from a nationwide representative survey

BACKGROUND

The research of light (≤10 cigarettes per day) and non-daily smokers in developing countries including Brazil is scarce despite the high prevalence of these groups among smokers and health risks associated to low-level smoking.

OBJECTIVE

To describe health and smoking characteristics of Brazilian adult light and non-daily smokers.

METHODS

We analyzed data from the 2013 Brazilian National Health Research survey (n=48,282).

RESULTS

The prevalence of current manufactured cigarette smoking in the total sample was 12.4%. Among these smokers, 12.8% were non-daily smokers (NDS), 47.4% were light smokers (LS) and 39.8% were moderate/heavy smokers (MHS). Bivariate analysis showed that non-daily smoking was associated with higher odds of poor self-rated health, binge drinking and lung diseases compared to never smokers (ORs=1.2; 5.9 and 1.9). Light smoking was associated with higher odds of poor self-rated health, binge drinking, depression, use of sleeping pills and lung diseases (ORs=1.3; 4.3; 1.4; 1.2 and 2.0). After controlling for sex and age, non-daily smoking was associated with lung disease (OR=2.2) and light smoking with depression and lung diseases (ORs=1.3 and 1.8). Smoking levels were associated with living with same-level smokers in bivariate and multivariate analyses.

CONCLUSION

A large proportion of smokers in Brazil are light and non-daily smokers, carrying substantial health risks related to tobacco use. Longitudinal research is needed to provide further evidence of associations found in this study. Public health policies must take the different smoking patterns into consideration to effectively target all smokers and reduce the harmful consequences of tobacco worldwide.

Feasibility of Implementing a Hospital-Based "Opt-Out" Tobacco-Cessation Service

OBJECTIVE

To assess the feasibility and outcomes of implementing a hospital-based "opt-out" tobacco-cessation service.

METHODS

In 2014, the Medical University of South Carolina adopted a policy that all hospitalized patients who self-report using tobacco be referred to tobacco-cessation service. This is a descriptive study of a real-world effort to implement guidelines for a hospital-based cessation service consistent with Joint Commission's standards. Between February 2014 and May 2015, 42 061 adults were admitted to the Medical University of South Carolina Hospital. Eligible current cigarette smokers were referred to the tobacco-cessation service, which consisted of a bedside consult and phone follow-up 3, 14, and 30 days after hospital discharge using interactive-voice-response. The primary study outcomes evaluated the proportions of smokers reached by the bedside counselor and/or phone follow-up, smokers who opted out, and smokers who self-reported not smoking when last contacted by phone.

RESULTS

Records identified 8423 smokers, of whom 69.4% (n = 5843) were referred into the service. One full-time bedside counselor was able to speak with 1918 (32.8%) patients, of whom 96 (5%) denied currently smoking and 287 (14.9%) refused counselling. Reach at follow-up was achieved for 703 (55%) smokers who received bedside counselling and 1613 (49%) who did not, yielding an overall follow-up reach rate of 60%. Of those reached by phone, 36.4% reported not smoking (51% vs. 27% for those who did and did not receive bedside counselling, respectively). Intent-to-treat abstinence rate was 13.5% according to the last known smoking status.

CONCLUSIONS

Findings from this study suggest that an inpatient smoking-cessation service with an "opt-out" approach can positively impact short-term cessation outcomes.

IMPLICATIONS

(1) The findings demonstrate the feasibility of implementing an automated large-scale opt-out tobacco-cessation service for hospitalized patients that is consistent with the Joint Commission recommended standards for treating tobacco dependence. (2) Receiving a bedside tobacco-cessation consult while hospitalized increased the use of stop smoking medications and abstinence from smoking after discharge from the hospital. (3) Even in those patients who did not receive a bedside consult, 5% accepted a referral to the South Carolina Tobacco Quitline to get help to stop smoking.

Life Impact and Treatment Preferences of Individuals with Asthma and Chronic Obstructive Pulmonary Disease: Results from Qualitative Interviews and Focus Groups

INTRODUCTION

The impact of asthma and chronic obstructive pulmonary disease (COPD) on individuals' lives may be substantial, yet clinical practice often focuses only on symptoms. We aimed to better understand the perspective of asthma or COPD patients and to identify condition-related burden, life impact, priorities, unmet needs, and treatment goals.

METHODS

Individuals aged at least 18 years with asthma or COPD were identified by a recruitment panel via clinical referrals, support groups, consumer networks, and a patient database. Interviews were carried out individually (by telephone) or in focus groups (with no more than five participants per group). A semi-structured interview guide was used with prespecified topics, informed by a literature review, that were considered impactful in asthma or COPD (symptoms and daily-life impact, satisfaction with current treatment, important aspects of treatment, adherence, and ideal treatment).

RESULTS

Overall, 72 people participated in focus groups/individual interviews (asthma n = 18/n = 21; COPD n = 15/n = 18). "Shortness of breath" was the most frequently reported symptom; however, participants discussed the life impact of their condition more than symptoms alone. Reported physical impacts included the inability to sleep and socialize, while emotional impacts included "embarrassment, stigma, and/or self-consciousness", "fear and/or panic", and "sadness, anxiety, and/or depression". Coping mechanisms for normal activities included continuing at reduced pace and avoidance. Treatment preferences centered on resolving impacts; improved sleep, "speed of action", and "length of relief" were the most frequently reported ideal treatment factors.

CONCLUSION

Patients with asthma or COPD experience substantial quality of life limitations and tend to focus on these in their expressions of concern, rather than symptoms per se. Life impacts of these conditions may have implications beyond those commonly appreciated in routine practice; these considerations will be applied to a future discrete choice experiment survey.

FUNDING

GSK funded study (H0-15-15502/204821).

Cigarette smoking is associated with adverse survival among women with ovarian cancer: Results from a pooled analysis of 19 studies

Cigarette smoking is associated with an increased risk of developing mucinous ovarian tumors but whether it is associated with ovarian cancer survival overall or for the different histotypes is unestablished. Furthermore, it is unknown whether the association between cigarette smoking and survival differs according to strata of ovarian cancer stage at diagnosis. In a large pooled analysis, we evaluated the association between various measures of cigarette smoking and survival among women with epithelial ovarian cancer. We obtained data from 19 case-control studies in the Ovarian Cancer Association Consortium (OCAC), including 9,114 women diagnosed with ovarian cancer. Cox regression models were used to estimate adjusted study-specific hazard ratios (HRs), which were combined into pooled hazard ratios (pHR) with corresponding 95% confidence intervals (CIs) under random effects models. Overall, 5,149 (57%) women died during a median follow-up period of 7.0 years. Among women diagnosed with ovarian cancer, both current (pHR = 1.17, 95% CI: 1.08-1.28) and former smokers (pHR = 1.10, 95% CI: 1.02-1.18) had worse survival compared with never smoking women. In histotype-stratified analyses, associations were observed for mucinous (current smoking: pHR = 1.91, 95% CI: 1.01-3.65) and serous histotypes (current smoking: pHR = 1.11, 95% CI: 1.00-1.23; former smoking: pHR = 1.12, 95% CI: 1.04-1.20). Further, our results suggested that current smoking has a greater impact on survival among women with localized than disseminated disease. The identification of cigarette smoking as a modifiable factor associated with survival has potential clinical importance as a focus area to improve ovarian cancer prognosis.

Preliminary evaluation of a telephone-based smoking cessation intervention in the lung cancer screening setting: A randomized clinical trial

Incorporating effective smoking cessation interventions into lung cancer screening (LCS) programs will be essential to realizing the full benefit of screening. We conducted a pilot randomized trial to determine the feasibility and efficacy of a telephone-counseling (TC) smoking cessation intervention vs. usual care (UC) in the LCS setting. In collaboration with 3 geographically diverse LCS programs, we enrolled current smokers (61.5% participation rate) who were: registered to undergo LCS, 50-77 years old, and had a 20+ pack-year smoking history. Eligibility was not based on readiness to quit. Participants completed pre-LCS (T0) and post-LCS (T1) telephone assessments, were randomized to TC (N=46) vs. UC (N=46), and completed a final 3-month telephone assessment (T2). Both study arms received a list of evidence-based cessation resources. TC participants also received up to 6 brief counseling calls with a trained cessation counselor. Counseling calls incorporated motivational interviewing and utilized the screening result as a motivator for quitting. The outcome was biochemically verified 7-day point prevalence cessation at 3-months post-randomization. Participants (56.5% female) were 60.2 (SD=5.4) years old and reported 47.1 (SD=22.2) pack years; 30% were ready to stop smoking in the next 30 days. TC participants completed an average of 4.4 (SD=2.3) sessions. Using intent-to-treat analyses, biochemically verified quit rates were 17.4% (TC) vs. 4.3% (UC), p<.05. This study provides preliminary evidence that telephone-based cessation counseling is feasible and efficacious in the LCS setting. As millions of current smokers are now eligible for lung cancer screening, this setting represents an important opportunity to exert a large public health impact on cessation among smokers who are at very high risk for multiple tobacco-related diseases. If this evidence-based, brief, and scalable intervention is replicated, TC could help to improve the overall cost-effectiveness of LCS.

TRIAL REGISTRATION

NCT02267096, https://clinicaltrials.gov.

Cigarette smoking and the association with serous ovarian cancer in African American women: African American Cancer Epidemiology Study (AACES)

BACKGROUND

Smoking is a risk factor for mucinous ovarian cancer (OvCa) in Caucasians. Whether a similar association exists in African Americans (AA) is unknown.

METHODS

We conducted a population-based case-control study of incident OvCa in AA women across 11 geographic locations in the US. A structured telephone interview asked about smoking, demographic, health, and lifestyle factors. Odds ratios and 95% confidence intervals (OR, 95% CI) were estimated from 613 cases and 752 controls using unconditional logistic regression in multivariable adjusted models.

RESULTS

Associations were greater in magnitude for serous OvCa than for all OvCa combined. Compared to never smokers, increased risk for serous OvCa was observed for lifetime ever smokers (1.46, 1.11-1.92), former smokers who quit within 0-2 years of diagnosis (5.48, 3.04-9.86), and for total pack-years smoked among lifetime ever smokers (0-5 pack-years: 1.79, 1.23-2.59; >5-20 pack-years: 1.52, 1.05-2.18; >20 pack-years: 0.98, 0.61-1.56); however, we observed no dose-response relationship with increasing duration or consumption and no significant associations among current smokers. Smoking was not significantly associated with mucinous OvCa. Associations for all OvCa combined were consistently elevated among former smokers. The proportion of ever smokers who quit within 0-2 years was greater among cases (23%) than controls (7%).

CONCLUSIONS

Cigarette smoking may be associated with serous OvCa among AA, which differs from associations reported among Caucasians. Exposure misclassification or reverse causality may partially explain the absence of increased risk among current smokers and lack of dose-response associations. Better characterization of smoking patterns is needed in this understudied population.

Is Oral Biopsy Associated With Change in Tobacco or Alcohol Use?

PURPOSE

Tobacco and alcohol remain the predominant risk factors for oral cancer, but the relation between having an oral biopsy and cessation of these risk factors is unknown. Therefore, this investigation examined whether there might be an association between oral biopsy and change in risk factor use.

MATERIALS AND METHODS

A survey was sent to a cohort consisting of a consecutive sample of subjects identified in the University of North Carolina Oral Pathology database. The predictor variable was oral biopsy diagnosis, with 3 levels consisting of hyperkeratosis, dysplasia, or carcinoma. The outcome variable was change in risk factor use, coded as "no change in usage," "decreased usage" or "quit." Other study variables included age, gender, and race. The proportional odds model was used to assess the effect of explanatory variables on change in use, and the P value was set at .05.

RESULTS

The response rate was 37.4% for a total sample of 605 subjects. White non-Hispanics composed 85% of respondents and women composed 49.5%, with no significant difference among diagnostic categories. The global test for change in cigarette use was significant, with age contributing to variability in behavioral change. Although not statistically significant, larger percentages of patients with more severe diagnoses quit cigarettes and alcohol following biopsy. The youngest respondents were 3.7 times more likely not to quit before biopsy or to continue to smoke following biopsy (95% confidence interval, 1.98-6.91).

CONCLUSION

The results of this study suggest that oral biopsy provides an ideal opportunity to focus on risk factor cessation. Different diagnoses provide objective data on which to base a discussion about carcinogenesis and the roles played by the risk factors in this process. Differences in risk factor cessation associated with demographics emphasize the need for all clinicians to address cessation with all patients.

The Effects of smoking status and smoking history on patients with brain metastases from lung cancer

There is limited data on the effects of smoking on lung cancer patients with brain metastases. This single institution retrospective study of patients with brain metastases from lung cancer who received stereotactic radiosurgery assessed whether smoking history is associated with overall survival, local control, rate of new brain metastases (brain metastasis velocity), and likelihood of neurologic death after brain metastases. Patients were stratified by adenocarcinoma versus nonadenocarcinoma histologies. Kaplan-Meier analysis was performed for survival endpoints. Competing risk analysis was performed for neurologic death analysis to account for risk of nonneurologic death. Separate linear regression and multivariate analyses were performed to estimate the brain metastasis velocity. Of 366 patients included in the analysis, the median age was 63, 54% were male and, 60% were diagnosed with adenocarcinoma. Current smoking was reported by 37% and 91% had a smoking history. Current smoking status and pack-year history of smoking had no effect on overall survival. There was a trend for an increased risk of neurologic death in nonadenocarcinoma patients who continued to smoke (14%, 35%, and 46% at 6/12/24 months) compared with patients who did not smoke (12%, 23%, and 30%, P = 0.053). Cumulative pack years smoking was associated with an increase in neurologic death for nonadenocarcinoma patients (HR = 1.01, CI: 1.00-1.02, P = 0.046). Increased pack-year history increased brain metastasis velocity in multivariate analysis for overall patients (P = 0.026). Current smokers with nonadenocarcinoma lung cancers had a trend toward greater neurologic death than nonsmokers. Cumulative pack years smoking is associated with a greater brain metastasis velocity.

Adverse Health Outcomes Associated with Postdiagnosis Smoking in Prostate Cancer Patients: A Literature Review

This literature review presents what is currently known about the association between postdiagnosis smoking and adverse health outcomes in prostate cancer. A literature search was conducted using Ovid Embase and Ovid MEDLINE. Information from 36 studies was summarized. There is strong evidence across the included studies of higher overall mortality and biochemical recurrence in current smokers diagnosed with prostate cancer. In addition, enhanced adverse effects following surgery, radiation, and hormone therapy have also been identified in current smokers of this population.