Faculty Bibliography

INTRODUCTION: Twitter use has grown exponentially within the urological community. We aimed to determine the perceptions of the impact of Twitter on users' clinical practice, research, and other professional activities. METHODS: We performed an 11-item online survey of Twitter contributors during two major urological meetings: the European Association of Urology (EAU) and the American Urological Association (AUA) annual meetings. During the EAU 2014 meeting, we distributed the survey via the meeting official Twitter feed. During the AUA 2014 meeting, we applied a new method by directly sending the survey to Twitter contributors. We performed a subset analysis for assessing the perceived impact of Twitter on the clinical practice of physicians. RESULTS: Among 312 total respondents, the greatest perceived benefits of Twitter among users were for networking (97%) and disseminating information (96%), followed by research (75%), advocacy (74%) and career development (62%). In total, 65% of Twitter users have dealt with guidelines on online medical professionalism and 71% of physician users found that Twitter had an impact on their clinical practice, and 33% had made a clinical decision based on an online case discussion. CONCLUSIONS: Our results suggest that Twitter users in the urological community perceive important benefits. These benefits extend to multiple professional domains, particularly networking, disseminating information, remote conference participation, research, and advocacy. This is the first study that has been disseminated to targeted individuals from the urological community directly through tweets, providing a proof of principle for this research method.

OBJECTIVE: To examine public and media response to the United States Preventive Services Task Force's (USPSTF) draft (October 2011) and finalized (May 2012) recommendations against prostate-specific antigen (PSA) testing using Twitter, a popular social network with over 200 million active users. MATERIALS AND METHODS: We used a mixed methods design to analyze posts on Twitter, called "tweets." Using the search term "prostate cancer," we archived tweets in the 24 hour periods following the release of the USPSTF draft and finalized recommendations. We recorded tweet rate per hour and developed a coding system to assess type of user and sentiment expressed in tweets and linked articles. RESULTS: After the draft and finalized recommendations, 2042 and 5357 tweets focused on the USPSTF report, respectively. Tweet rate nearly doubled within two hours of both announcements. Fewer than 10% of tweets expressed an opinion about screening, and the majority of these were pro-screening during both periods. In contrast, anti-screening articles were tweeted more frequently in both draft and finalized study periods. From the draft to the finalized recommendations, the proportion of anti-screening tweets and anti-screening article links increased (p= 0.03 and p<0.01, respectively). CONCLUSIONS: There was increased Twitter activity surrounding the USPSTF draft and finalized recommendations. The percentage of anti-screening tweets and articles appeared to increase, perhaps due to the interval public comment period. Despite this, most tweets did not express an opinion, suggesting a missed opportunity in this important arena for advocacy.

BACKGROUND: Many elderly men with high-risk nonmetastatic prostate cancer (HRnMPCa) do not receive radical treatment, despite the high mortality associated with conservative management. OBJECTIVE: To investigate how age and comorbidity affect treatment of men with HRnMPCa. DESIGN, SETTING, AND PARTICIPANTS: This was an observational nationwide register study during 2001-2012. We identified 19 190 men of <80 yr of age diagnosed with HRnMPCa in the National Prostate Cancer Register of Sweden and 95 948 age-matched men without prostate cancer in the register of the total population. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: The outcome was the proportion of men with HRnMPCa receiving radical treatment (radical prostatectomy or radiotherapy). Vital status and the Charlson comorbidity index (CCI) were obtained from nationwide registers. The 10-yr survival of men without prostate cancer, stratified by age and CCI, was used as a measure of the life expectancy of the men with prostate cancer. RESULTS AND LIMITATIONS: The proportions receiving radical treatment varied with life expectancy among men younger than 70 yr, whereas use of these treatments did not match the long life expectancy of men in their seventies with CCI 0-1. Only 10% of men aged 75-80 yr with CCI 0 received radical treatment despite 52% probability of 10-yr life expectancy, compared with approximately half of the men younger than 70 yr with a similar life expectancy. The use of radical treatment for HRnMPCa increased with time in all Swedish counties, but a threefold difference between counties remained in 2009-2012 for patients aged 70-80 yr with CCI 0-1. Uncertain external validity is a study limitation, and the impact of physician versus patient preferences on treatment selection could not be assessed. CONCLUSIONS: Otherwise healthy men in their seventies with HRnMPCa were less likely to receive radical treatment than younger men with a similar life expectancy, although increasing use of radical treatment was observed during the study period. Our findings highlight the need for improved methods for clinical decision-making, including improved assessment of life expectancy. PATIENT SUMMARY: We performed a nationwide register study that showed that many healthy men in their seventies live for at least another 10 yr. Despite this long life expectancy, men in their seventies with high-risk nonmetastatic prostate cancer were often not treated with radical prostatectomy or radiotherapy, possibly because their life expectancy was underestimated. Our study highlights the need for improved clinical decision-making, which should incorporate an assessment of the patient's life expectancy.

At the 2014 International Society of Urological Pathology meeting, changes to prostate cancer grading were discussed including new prognostic Gleason grade groups 1-5 representing Gleason scores of 3+3, 3+4, 4+3, 8, and 9-10, respectively.

IMPORTANCE/OBJECTIVE:The target for the oral erectile dysfunction drugs, phosphodiesterase type 5 (PDE5) inhibitors, is part of a pathway implicated in the development of malignant melanoma. An increased risk of melanoma in sildenafil users was recently reported. OBJECTIVE:To examine the association between use of PDE5 inhibitors and melanoma risk, including data on specific PDE5 inhibitors, number of prescriptions, and melanoma stage. DESIGN, SETTING, AND PARTICIPANTS/METHODS:Nationwide, population-based, nested case-control study in the Swedish Prescribed Drug Register, the Swedish Melanoma Register, and other health care registers and demographic databases in Sweden, including 4065 melanoma cases diagnosed from 2006 through 2012 and 5 randomly selected controls per case with matching year of birth. EXPOSURES/METHODS:Number of filled prescriptions for the PDE5 inhibitors sildenafil and vardenafil or tadalafil. MAIN OUTCOMES AND MEASURES/METHODS:Risk of melanoma; overall and by stage and risk of basal cell carcinoma in multivariable logistic regression analyses. RESULTS:Of 4065 melanoma cases, 435 men (11%) had filled prescriptions for PDE5 inhibitors, as did 1713 men of 20,325 controls (8%). In multivariable analysis, there was an increased risk of melanoma in men taking PDE5 inhibitors (OR, 1.21 [95% CI, 1.08-1.36]). The most pronounced increase in risk was observed in men who had filled a single prescription (OR, 1.32 [95% CI, 1.10-1.59]; exposure rate, 4% for cases vs 3% for controls), but was not significant among men with multiple filled prescriptions (for 2-5 prescriptions: OR, 1.14 [95% CI, 0.95-1.37], 4% for cases and 3% for controls; for ≥6 prescriptions: OR, 1.17 [95% CI, 0.95-1.44], 3% for cases vs 2% for controls). PDE5 inhibitors were significantly associated with melanoma stage 0 (OR, 1.49 [95% CI, 1.22-1.83], 13% for cases vs 8% for controls) and stage I (OR, 1.21 [95% CI, 1.02-1.43], 12% for cases vs 10% for controls), but not stage II through IV (OR, 0.83 [95% CI, 0.63-1.09], 6% for cases vs 7% for controls). The risk estimates were similar for sildenafil and vardenafil or tadalafil. PDE5 inhibitor use was also associated with an increased risk of basal cell carcinoma (OR, 1.19 [95% CI, 1.14-1.25], 9% for cases vs 8% for controls). Men taking PDE5 inhibitors had a higher educational level and annual income, factors that were also significantly associated with melanoma risk. CONCLUSIONS AND RELEVANCE/CONCLUSIONS:In a Swedish cohort of men, the use of PDE5 inhibitors was associated with a modest but statistically significant increased risk of malignant melanoma. However, the pattern of association (eg, the lack of association with multiple filled prescriptions) raises questions about whether this association is causal.

CONTEXT: Active surveillance (AS) is an important strategy to reduce prostate cancer overtreatment. However, the optimal criteria for eligibility and predictors of progression while on AS are debated. OBJECTIVE: To review primary data on markers, genetic factors, and risk stratification for patient selection and predictors of progression during AS. EVIDENCE ACQUISITION: Electronic searches were conducted in PubMed, Embase, and the Cochrane Central Register of Controlled Trials (CENTRAL) from inception to April 2014 for original articles on biomarkers and risk stratification for AS. EVIDENCE SYNTHESIS: Patient factors associated with AS outcomes in some studies include age, race, and family history. Multiple studies provide consistent evidence that a lower percentage of free prostate-specific antigen (PSA), a higher Prostate Health Index (PHI), a higher PSA density (PSAD), and greater biopsy core involvement at baseline predict a greater risk of progression. During follow-up, serial measurements of PHI and PSAD, as well as repeat biopsy results, predict later biopsy progression. While some studies have suggested a univariate relationship between urinary prostate cancer antigen 3 (PCA3) and transmembrane protease, serine 2-v-ets avian erythroblastosis virus E26 oncogene homolog gene fusion (TMPRSS2:ERG) with adverse biopsy features, these markers have not been consistently shown to independently predict AS outcomes. No conclusive data support the use of genetic tests in AS. Limitations of these studies include heterogeneous definitions of progression and limited follow-up. CONCLUSIONS: There is a growing body of literature on patient characteristics, biopsy features, and biomarkers with potential utility in AS. More data are needed on practical applications such as combining these tests into multivariable clinical algorithms and long-term outcomes to further improve AS in the future. PATIENT SUMMARY: Several PSA-based tests (free PSA, PHI, PSAD) and the extent of cancer on biopsy can help to stratify the risk of progression during active surveillance. Investigation of several other markers is under way.

INTRODUCTION & OBJECTIVES: Many elderly men do not receive curative treatment for high risk, non-metastatic prostate cancer (HRnMPCa) despite high mortality with conservative management. We aimed to assess how age and comorbidity affect treatment of men with HRnMPCa. MATERIAL & METHODS: The proportion of men with HRnMPCa treated curatively in Sweden in 2001 to 2012 was assessed in this nationwide, population-based study. 19,190 men with HRnMPCa below age 80 at date of diagnosis were identified in the National Prostate Cancer Register (NPCR) and 95,948 age-matched control men were without prostate cancer retrieved from the Register of the Total Population. 10-year survival in control men, stratified by age and Charlson Comorbidity Index (CCI) was used as a measure of the life expectancy of the men with prostate cancer. RESULTS: The proportion receiving curative treatment co-varied with life expectancy in men below age 70, but not in men in their seventies with CCI 0-1. For example, only 10% of men aged 75-80 years with CCI 0 received curative treatment despite a 52% 10-year survival probability, whereas half of men younger than 70 years with similar life expectancy received curative treatment. The use of curative treatment for HRnMPCa increased during the study period in all counties, but a threefold difference between counties for men aged 70-80 years with CCI 0-1 remained in 2009-2012. CONCLUSIONS: Otherwise healthy men in their seventies with HRnMPCa were less likely to receive treatment than younger men with a similar life expectancy. The disparities in use of curative treatment highlight the need for improved assessment of life expectancy