Predictors of Unfavorable Pathology in Patients with Incidental (pT1a-T1b) Prostate Cancer.

BACKGROUND: Incidental prostate cancer (IPCa) is encountered in 10% of surgical procedures for benign prostatic obstruction (BPO). Identification of patients with underlying detrimental prostate cancer is paramount for tailored treatment decision-making, but guideline recommendations for this setting are lacking. OBJECTIVE: To highlight clinical and histological characteristics related to BPO surgery that may predict IPCa with unfavorable pathology. DESIGN, SETTING, AND PARTICIPANTS: We included men with IPCa who underwent radical prostatectomy (RP) in the short term after IPCa diagnosis. Two cohorts were built according to final pathology for the RP specimen: unfavorable pathology (International Society of Urological Pathology [ISUP] grade group [GG] ≥3 and/or ≥pT3a and/or pN1) versus favorable pathology. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: We performed multivariate regression analysis for the endpoint, which was unfavorable pathology for the RP specimen. Using the model estimates for prostate-specific antigen (PSA), ISUP GG, age, and prostate volume, we established a model for estimating the risk of unfavorable histopathology. RESULTS AND LIMITATIONS: Overall, 112 patients were included in the final assessment. On multivariate analysis, PSA (odds ratio [OR] 1.083, 95% confidence interval [CI] 1.003-1.170; p = 0.042), ISUP GG for the specimen from BPO surgery (OR 3.090; 95% CI 1.129-8.457; p = 0.028), and age (OR 1.121, 95% CI 1.026-1.225; p = 0.012) were independent predictors for unfavorable histopathology. On receiver operating characteristic analysis, the area under the curve was 0.751. A novel calculator was developed to predict adverse pathology for men with IPCa. The study is limited by its retrospective design. CONCLUSIONS: For men with IPCa, PSA before surgery for BPO, ISUP GG, and age are independent predictors of unfavorable disease. Our results might improve preoperative risk assessment for patient counseling. PATIENT SUMMARY: We developed a novel calculator to estimate the risk of underlying detrimental disease in men diagnosed with prostate cancer at surgery for benign prostatic obstruction.

The impact of COVID-19 pandemic on pornography habits: a global analysis of Google Trends.

As the COVID-19 spread globally, social distancing, self-isolation/quarantine, and national lockdowns have become crucial to control the pandemic. However, these measures may also lead to increases in social isolation, loneliness, and stress, which can alter the consumption of pornography habits. The aim of the study was thus to explore the interest pattern in pornography and coronavirus-themed pornography during the COVID-19 outbreak. Google Trends® was employed to determine the most popular porn websites (Porn, XNXX, PornHub, xVideos, and xHamster), and coronavirus-themed pornography worldwide and in six nations with different COVID-19 outbreak and self-isolation recommendations. We analyzed every search trend on Google® from January 9, 2020 to May 25, 2020 using "joint point regression analysis". Comparisons of week relative search volume (WRSV) and temporal patterns were analyzed to assess the change of interest in search terms during nations lockdowns. Paired t-test was used to compare WRSV values among the porn websites during the national lockdowns and the equivalent timespan of the weeks in the previous 4 years. The research trend of almost every keyword increased with significant inflection points for those nations with a straight "stay at home orders" (China, Italy, Spain, and France). "PornHub" and "Porn" showed the highest increase of interest worldwide with an average weekend percentage change (AWPC) of 4.9 and 3.8, respectively. The mean WRSV for keywords in USA and Sweden did not show a similar increase as the other nations. The WRSV percentage change with the historical data had a peak during the straight nations' lockdowns (p < 0.01). All the nations had a significant increase in WRSV coronavirus-themed pornography for each keyword (p < 0.01) with an AWPC, ranging worldwide between 18.5 and 61.8 (p < 0.01), after the beginning of self-quarantine. As strengths this study uses a big data technology to collect worldwide trend of interest, however, data are anonymous and do not allow analysis of subpopulation groups. In conclusion, we demonstrated an increased interest in pornography and coronavirus-themed pornography after the outbreak of COVID-19 in nations with a straight "stay at home orders".