Trends in prostate cancer incidence among Black men in the Caribbean and the United States.

BACKGROUND: Prostate cancer incidence is highest for Black men of the African diaspora in the United States and Caribbean. Recent changes in recommendations for prostate cancer screening have been shown to decrease overall prostate cancer incidence and increase the likelihood of late stage disease. However, it is unclear how trends in prostate cancer characteristics among high risk Black men differ by geographic region during the changes in screening recommendations. METHODS: In this study, we used population-based prostate cancer registry data to describe age-adjusted prostate cancer incidence trends from 2008 to 2015 among Black men from six geographic regions. We obtained data on incident Black prostate cancer patients from six cancer registries (in the United States: Florida, Alabama, Pennsylvania, and New York; and in the Caribbean: Guadeloupe and Martinique). After age standardization, we used descriptive analyses to compare the demographics and tumor characteristics by cancer registry site. The Joinpoint regression program was used to compare the trends in incidence by site. RESULTS: A total of 59,246 men were analyzed. We found the highest incidence rates (per 100,000) for prostate cancer in the Caribbean countries (181.99 in Martinique and 176.62 in Guadeloupe) and New York state (178.74). Incidence trends decreased significantly over time at all sites except Martinique, which also showed significantly increasing rates of late stage (III/IV) and Gleason score 7+ tumors. CONCLUSIONS: We observed significant differences in prostate cancer incidence trends among Black men after major changes prostate screening recommendations. Future studies will examine the factors that differentially influence prostate cancer trends among the African diaspora.

Effect of Neighborhood and Individual-Level Socioeconomic Factors on Colorectal Cancer Screening Adherence.

Despite the effectiveness of screenings in reducing colorectal cancer (CRC) mortality, ~25% of US adults do not adhere to screening guidelines. Prior studies associate socioeconomic status (SES) with low screening adherence and suggest that neighborhood deprivation can influence CRC outcomes. We comprehensively investigated the effect of neighborhood SES circumstances (nSES), individual SES, and race/ethnicity on adherence to CRC screening in a multiethnic cross-sectional study. Participant surveys assessing 32 individual-level socioeconomic and healthcare access measures were administered from 2017 to 2018. Participant data were joined with nine nSES measures from the US Census at the census tract level. Univariate, LASSO, and multivariable mixed-effect logistic regression models were used for variable reduction and evaluation of associations. The total study population included 526 participants aged 50-85; 29% of participants were non-adherent. In the final multivariable model, age (p = 0.02) and Non-Hispanic Black race (p = 0.02) were associated with higher odds of adherence. Factors associated with lower adherence were home rental (vs. ownership) (p = 0.003), perception of low healthcare quality (p = 0.006), no routine checkup within two years (p = 0.002), perceived discrimination (p = 0.02), and nSES deprivation (p = 0.02). After comprehensive variable methods were applied, socioeconomic indicators at the neighborhood and individual level were found to contribute to low CRC screening adherence.

Reliability and Accuracy of Remote Fiberoptic Nasopharyngolaryngoscopy in the Pediatric Population.

INTRODUCTION: Telemedicine is an increasingly prevalent component of medical practice. In otolaryngology, there is the potential for telemedicine services to be performed in conjunction with device use, such as with a nasolaryngoscope. This study evaluates the reliability of remote examinations of the upper airway through an iPhone recording using a coupling device attached to a nasopharyngolaryngoscope (NPL). METHODS: A prospective, blinded study was performed for pediatric patients requiring an NPL during an office visit. The NPL was performed using a coupling device attached to a smartphone to record the examination. A second, remote otolaryngologist then evaluated the recorded examination. Both otolaryngologists evaluated findings of anatomic sites including nasopharynx, oropharynx, base of tongue, larynx including subsites of epiglottis, arytenoids, aryepiglottic folds, false vocal cords, true vocal cords, patency of airway, and diagnostic impression, all of which were documented through a survey. Results of the survey were evaluated through inter-rater agreement using the κ statistic. RESULTS: Forty-five patients underwent an NPL, all of which were included in the study. The average age was 4.9 years. The most common complaint requiring NPL was noisy breathing (n = 16). The inter-rater agreement for overall diagnosis was 0.74 with 80% percent agreement, rated as "good." Other anatomic subsites with "good" or better inter-rater agreement were nasopharynx (0.75), oropharynx (0.75), and true vocal cords (0.71), with strong percentage agreement of 89%, 91%, and 87%, respectively. Both users of the adaptor found the recording setup to run smoothly. CONCLUSION: A telemedicine device for NPL use demonstrates strong diagnostic accuracy across providers and good overall evaluation. It holds potential for use in remote settings.

Liver Cancer Incidence and Area-Level Geographic Disparities in Pennsylvania-A Geo-Additive Approach.

Many neighborhood socioeconomic index measures (nSES) that capture neighborhood deprivation exist but the impact of measure selection on liver cancer (LC) geographic disparities remains unclear. We introduce a Bayesian geoadditive modeling approach to identify clusters in Pennsylvania (PA) with higher than expected LC incidence rates, adjusted for individual-level factors (age, sex, race, diagnosis year) and compared them to models with 7 different nSES index measures to elucidate the impact of nSES and measure selection on LC geospatial variation. LC cases diagnosed from 2007-2014 were obtained from the PA Cancer Registry and linked to nSES measures from U.S. census at the Census Tract (CT) level. Relative Risks (RR) were estimated for each CT, adjusted for individual-level factors (baseline model). Each nSES measure was added to the baseline model and changes in model fit, geographic disparity and state-wide RR ranges were compared. All 7 nSES measures were strongly associated with high risk clusters. Tract-level RR ranges and geographic disparity from the baseline model were attenuated after adjustment for nSES measures. Depending on the nSES measure selected, up to 60% of the LC burden could be explained, suggesting methodologic evaluations of multiple nSES measures may be warranted in future studies to inform LC prevention efforts.