Social media (SoMe) offers great potential to expand access to health information, but a significant proportion of users consume its content instead of consulting a physician. We sought to quantify the volume and characterize the accuracy of men’s health-related content on TikTok and Instagram. We searched TikTok and Instagram for the terms: testosterone, erectile dysfunction, male infertility, semen retention, Peyronie’s disease, and vasectomy. The top 10 hashtags for each term were used to estimate the total impressions for each term on each platform, and posts were then characterized by creator type, content type, and accuracy (1 to 5 scale). TikTok had 2,312,407,100 impressions and Instagram had 3,107,300 posts across all topics. Semen retention had the most impressions on TikTok (1,216,074,000) and posts on Instagram (1,077,000). Physicians created only a small portion of total TikTok and Instagram posts (10.3% and 12.9%, respectively). Across all topics, the accuracy of content was poor (2.6 ± 1.7), however, physician posts were more accurate than non-physician posts (mean 4.2 ± 1.2 vs 2.3 ± 1.6, p < 0.001, respectively). Men’s health content is popular on TikTok and Instagram but is not accurate. We recommend that physicians actively engage in SoMe to address misinformation.

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Purpose To develop nomograms that predict the detection of clinically significant prostate cancer at diagnostic biopsy based on multiparametric prostate MRI (mpMRI), serum biomarkers, and patient clinicodemographic features. Materials and Methods Nomograms were developed from a cohort of biopsy-naïve men presenting to our 11-hospital system with a PSA of 2-20ng/mL who underwent pre-biopsy mpMRI from March 2018-June 2021 (n = 1494). The outcomes were the presence of clinically significant and high-grade prostate cancer (defined as ≥ GG2 [Grade Group 2] and ≥ GG3 prostate cancer, respectively). Using significant variables on multivariable logistic regression, individual nomograms were developed for men with PSA, % free PSA, or prostate health index (PHI) when available. The nomograms were both internally validated and evaluated in an independent cohort of 366 men presenting to our hospital system from July 2021-February 2022. Results 1031 of 1494 men (69%) underwent biopsy after initial evaluation with mpMRI, 493 (47.8%) of whom were found to have ≥ GG2 PCa, and 271 (26.3%) were found to have ≥ GG3 PCa. Age, race, highest PIRADS score, prostate health index (PHI) when available, % free PSA when available, and PSA density were significant predictors of ≥ GG2 and ≥ GG3 PCa on multivariable analysis and were used for nomogram generation. Accuracy of nomograms in both the training cohort and independent cohort were high, with areas under the curves (AUC) of ≥ 0.885 in the training cohort and ≥ 0.896 in the independent validation cohort. In our independent validation cohort, our model for ≥ GG2 prostate cancer with PHI saved 39.1% of biopsies (143/366) while only missing 0.8% of csPCa (1/124) with a biopsy threshold of 20% probability of csPCa. Conclusions Here we developed nomograms combining serum testing and mpMRI to help clinicians risk stratify patients with elevated PSA of 2-20ng/mL who are being considered for biopsy. Our nomograms are available at https://rossnm1.shinyapps.io/MynMRIskCalculator/ to aid with biopsy decisions.

Background: Genetic evaluation of men with advanced prostate cancer is recognized as imperative both to guide treatment decisions and to trigger cascade genetic testing of family members. Here we investigate utilization patterns of genetic testing among a contemporary cohort of men with advanced prostate cancer at our institution. Methods:We queried the Northwestern Electronic Data Warehouse from January 2021 to present for all men diagnosed with National Comprehensive Cancer Network highrisk/very high-risk, regional, or metastatic prostate cancer. Patients were excluded from analyses if treated at an outside institution and/or presented for a second opinion evaluation. Statistics were performed using t-test, Chi-squared test, and univariable and multivariable logistic regression with significance defined as p < 0.05.Results: Atotal of 320 men (52.5%) had local/regional disease and 290 (47.5%) had metastatic disease, 53 (18.3%) of whom had castrate resistant prostate cancer. Rates of germline genetic testing rate were low in patients with localized disease (9.4%) and metastatic disease (34.1%). Only 19 (35.8%) men diagnosed with metastatic castrate resistant prostate cancer underwent germline genetic evaluation. Germline testing was most frequently discussed or ordered by medical oncologists (52%) followed by urologists (20%). Men who underwent germline testing were younger (p < 0.001), more likely to have Medicaid or private insurance (p = 0.002), and more likely to have metastatic disease (p < 0.001). There were no statistically significant differences in baseline PSA, ethnicity, race, or castration sensitivity status. Age (odds ratio [OR]: 0.94, 95% confidence interval [CI]: 0.91-0.97, p < 0.001) and metastatic disease (OR: 5.71, 95% CI: 3.63-9.22, p < 0.001) were significant independent predictors of genetic testing on multivariable logistic regression.Conclusions: Here we report that utilization of genetic testing is associated with metastatic disease and inversely associated with age. Overall, utilization rates of genetic testing remain low in all patient groups, including in the metastatic castrate resistant setting, where genetic testing can identify patients with homologous recombination repair deficiency who may benefit from use of targeted therapeutics

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