Faculty Bibliography

Smoking is a causal or contributory factor for nearly all genitourinary cancers and exerts significant influence on treatment, quality of life, and survival outcomes. In order to understand the influence smoking has on the outcomes of contemporary therapies, pertinent smoking-related data must be systematically collected and report. We sought to determine how often and how rigorously smoking status is collected and reported in publications of clinical trials in genitourinary cancers by conducting a systematic review. Our initial search yielded 622 articles, 354 of which met criteria. The vast majority of included studies (91.8%) did not report any details about trial participants' smoking status. When included, 96.3% of studies reported baseline status qualitatively. No studies used a validated measurement instrument or reported change in participants' smoking status over the study period. Absence of the collection and reporting of smoking-related data precludes further study of how smoking impacts outcomes and highlights an important deficiency in GU oncology clinical trial design.

INTRODUCTION/BACKGROUND:The natural history of T1b (4-7 cm) or T2a (> 7-10 cm) kidney cancers managed with observation is not well-understood. The aim of our study was to determine if the addition of histologic subtype to a predictive model of overall survival (OS) that includes covariates for competing risks in observed, biopsy-proven, T1b and T2a renal cell carcinomas (RCCs) improves the model's performance. MATERIALS AND METHODS/METHODS:We queried the National Cancer Database for patients with biopsy-proven stage T1b or T2a RCC and managed nonoperatively between 2004 and 2015. OS was estimated by Kaplan-Meier curves based on histologic subtype. The concordance index (c-index) from a Cox proportional hazards model was used to estimate the extent to which histologic subtypes predict survival for each stage when included in a model along with competing risks of age, gender, race/ethnicity, insurance status, area-level socioeconomic indicators, Charlson-Deyo index, and tumor grade. RESULTS:A total of 937 patients (754 with T1b and 185 with T2a) with biopsy-proven RCC were identified. Kaplan-Meier analysis suggested differences in OS by histologic subtype where sarcomatoid, followed by clear cell, papillary, and chromophobe, had the highest mortality risk at 1, 3, and 5 years. However, there was marginal improvement in the multivariable model of OS using competing risks and histology (c-index, 0.64 and 0.697) compared with competing risks alone (c-index, 0.631 and 0.671) for T1b and T2a RCCs, respectively. CONCLUSIONS:In patients with T1b or T2a RCC managed with observation, incorporation of histologic subtype into a risk-stratification model to determine prognostic OS did not improve modeling of OS compared with variables representing competing risks. Histologic subtype of observed T1b and T2a RCC appears to have prognostic OS value when not considering competing risks. These findings may impact the usefulness of renal biopsy to inform decision-making when managing patients with T1b and T2a renal tumors with observation.

OBJECTIVE:To describe attitudes, perceptions, and beliefs related to smoking and smoking cessation among survivors of genitourinary cancers using a theory-based framework. METHODS:We performed a cross-sectional analysis of Wave III of the PATH study, a prospective cohort survey study assessing tobacco-use patterns and attitudes among a representative population-based sample of US adults. All adult current smokers with a history of urologic cancer were included. Primary outcomes were mapped to components of the Theory of Planned Behavior (TPB) and included: attempts to quit, readiness to quit, plan to quit, being told to quit, peers views toward smoking, regret about smoking, the perceived relationship between smoking and cancer/overall health. Secondary outcomes include: time to first cigarette, utilization of smoking cessation aids. Population weighted percentages with 95% confidence intervals were estimated. RESULTS:Our cohort represents a population estimate of 461,182 adult current smokers with a history of genitourinary cancer. The majority of respondents (90%) perceived smoking to be harmful to one's health and 83% were regretful about having started smoking. An equal proportion of respondents indicated that they were "very ready to quit," "somewhat ready to quit," or "not ready to quit." Among all respondents, 73% had been told by a physician to quit in the past year but only 7% indicated that they had used prescription medication and only 21% had used nicotine replacement therapy to help with smoking cessation. CONCLUSION/CONCLUSIONS:There is significant variation in attitudes, behaviors, and perceptions related to smoking and smoking cessation among survivors of genitourinary malignancy. Patient-level smoking cessation interventions may need to be highly personalized for optimal success.

Tobacco use is the cause of several urologic cancers. Persistent use after diagnosis is associated with worse cancer-specific, quality of life, and overall mortality outcomes. Cigarette smoking remains the most common form of tobacco use despite significant population-level decline over the past few decades. The burden of smoking-related urologic disease is under appreciated by urologists and patients which has resulted in gaps in clinical care and limitations to research progress. We sought to summarize evidence-based practices and guideline recommendations for assessing and reporting tobacco use in the clinical and research settings. With a focus on smoking, our two primary goals are: 1) to promote the adoption of standardized and validated measures of tobacco use and 2) to highlight evidence-based strategies for urologists to use in clinical practice.

PURPOSE/OBJECTIVE:Smoking cessation after a urological cancer diagnosis significantly benefits patients. It is not well known how often patients quit after diagnosis or how urologists intervene to support patients' smoking cessation efforts. We examined rates of smoking cessation after diagnosis among patients with urological cancers, and assessed how often patients are given advice and support to quit smoking in the urology setting. MATERIALS AND METHODS/METHODS:Following PRISMA guidelines, a systematic review was conducted of the available studies on smoking cessation after a urological cancer diagnosis during April 2020 by a trained medical librarian using the MEDLINE®, PsycInfo®, Embase® and Cochrane Central databases. Studies were included based on 3 independent reviews and if they met a priori inclusion/exclusion criteria. In total, 2,568 records were identified, 31 of which were included for final analysis. RESULTS:Four studies (587 patients) reported outcomes related to the prospective implementation of a smoking cessation program with patient-level quit rates ranging from 3.2% to 47.3%. A total of 21 studies (3,669 patients) reported outcomes of passive (no directed, active intervention) smoking cessation after the diagnosis of a urological cancer with widely varying quit rates. In general, the quality of included studies was poor. There was no standardization of the measurement or timing of outcomes, and few studies included validated survey instruments or biochemical confirmation of cessation. A total of 17 studies included data on whether patients received advice to quit smoking after diagnosis. The proportion of patients in each study who were told to quit ranged from 2.8% to 78.3%. CONCLUSIONS:There are few smoking cessation interventions that have been prospectively implemented and reported in the urology literature, and studies on quit rates after diagnosis are limited. The paucity of quality data and lack of smoking cessation interventions being used in routine urological oncology care underscores the need for more rigorous study and implementation of evidence-based practices in this area.

BACKGROUND:Tobacco-use among cancer survivors leads to preventable morbidity, mortality, and increased healthcare costs. We sought to explore the prevalence of smoking and e-cigarette use among survivors of tobacco and non-tobacco related cancers. METHODS:A cross-sectional analysis was conducted using the 2015-2018 National Health Interview Survey. Our primary outcome was the prevalence of current cigarette smoking or e-cigarette use among adults with self-reported history of tobacco related or non-tobacco related cancer. Logistic regression analysis was to assess the association of reported cancer type with cigarette smoking or e-cigarette use. Secondary outcomes included yearly trends and dual use. RESULTS:A total of 12,984 respondents reported a history of cancer, representing a weighted estimate of 5,060,059 individuals with a history of tobacco-related malignancy and 17,583,788 with a history of a tobacco and non-tobacco related cancer, respectively. Survivors of tobacco-related cancers had a significantly higher prevalence of current cigarette use (18.2 % vs 9.7 %, P < 0.0001), e-cigarette use (2.7 % vs 1.6 %, P < 0.0001) and similar rates of dual use. The prevalence of cigarette smoking among all survivors increased as time increased from the year of diagnosis up to 2 years post-diagnosis (P = 0.047). Odds of reporting current cigarette smoking use was higher for survivors of tobacco-related cancers, adjusted for sociodemographic factors (OR1.69, 95 % CI 1.44-1.99). CONCLUSIONS:Survivors of tobacco-related cancers have a higher prevalence of current cigarette smoking and e-cigarette use compared to survivors of non-tobacco related cancers. There was a sequential increase in the prevalence of cigarette use during each subsequent year from the time of a new cancer diagnosis, underscoring the need for long term tobacco cessation support among newly diagnosed adults with cancer.

PURPOSE/OBJECTIVE:Tobacco-use is a causative or exacerbating risk factor for benign and malignant urologic disease. However, it is not well known how often urologists screen for tobacco use and provide tobacco cessation treatment at the population level. Therefore, we sought to evaluate how often urologists see patients for tobacco-related diagnoses in the outpatient setting and how often these visits include tobacco-use screening and treatment. MATERIALS AND METHODS/METHODS:We used the National Ambulatory Medical Care Survey (NAMCS) public use files for the years 2014-2016 to identify all outpatient urology visits with adults 18 years and older. Clinic visit reasons were categorized according to diagnoses associated with the encounter: all urologic diagnoses, a tobacco-related urologic condition, or a urologic cancer. Our primary outcome was the percentage of visits during which tobacco screening was reported. Secondary outcomes included reported delivery of cessation counseling and provision of cessation pharmacotherapy. RESULTS:We identified 4,625 unique urologic outpatient encounters, representing a population-weighted estimate of 63.9 million visits over three years. Approximately a third of all urology visits were for a tobacco-related urologic diagnoses and 15% were for urologic cancers. An estimated 1.1 million visits over three years were with patients who identified as current tobacco users. Of all visits, 70% included tobacco screening. However, only 7% of visits with current smokers included counseling and only 3% were prescribed medications. No differences in screening and treatment were observed between visit types. CONCLUSIONS:Urologists regularly see patients for tobacco-related conditions and frequently, though not universally, screen patients for tobacco. However, urologists rarely offer counseling or cessation treatment. These findings may represent missed opportunities to decrease the morbidity associated with tobacco use.