Application of Geographic Information Systems (GIS) in the Study of Prostate Cancer Disparities: A Systematic Review.

Introduction: PCa is one of the cancers that exhibits the widest disparity gaps. Geographical place of residence has been shown to be associated with healthcare access/utilization and PCa outcomes. Geographical Information Systems (GIS) are widely being utilized for PCa disparities research, however, inconsistencies in their application exist. This systematic review will summarize GIS application within PCa disparities research, highlight gaps in the literature, and propose alternative approaches. Methods: This paper followed the methods of the Cochrane Collaboration and the criteria set of the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). Articles published in peer-reviewed journals were searched through the PubMed, Embase, and Web of Science databases until December 2022. The main inclusion criteria were employing a GIS approach and examining a relationship between geographical components and PCa disparities. The main exclusion criteria were studies conducted outside the US and those that were not published in English. Results: A total of 25 articles were included; 23 focused on PCa measures as outcomes: incidence, survival, and mortality, while only 2 examined PCa management. GIS application in PCa disparities research was grouped into three main categories: mapping, processing, and analysis. GIS mapping allowed for the visualization of quantitative, qualitative, and temporal trends of PCa factors. GIS processing was mainly used for geocoding and smoothing of PCa rates. GIS analysis mainly served to evaluate global spatial autocorrelation and distribution of PCa cases, while local cluster identification techniques were mainly employed to identify locations with poorer PCa outcomes, soliciting public health interventions. Discussion: Varied GIS applications and methodologies have been used in researching PCa disparities. Multiple geographical scales were adopted, leading to variations in associations and outcomes. Geocoding quality varied considerably, leading to less robust findings. Limitations in cluster-detection approaches were identified, especially when variations were captured using the Spatial Scan Statistic. GIS approaches utilized in other diseases might be applied within PCa disparities research for more accurate inferences. A novel approach for GIS research in PCa disparities could be focusing more on geospatial disparities in procedure utilization especially when it comes to PCa screening techniques. Conclusions: This systematic review summarized and described the current state and trend of GIS application in PCa disparities research. Although GIS is of crucial importance when it comes to PCa disparities research, future studies should rely on more robust GIS techniques, carefully select the geographical scale studied, and partner with GIS scientists for more accurate inferences. Such interdisciplinary approaches have the potential to bridge the gaps between GIS and cancer prevention and control to further advance cancer equity.

Racial/Ethnic Disparities in Prostate Cancer 5-Year Survival: The Role of Health-Care Access and Disease Severity.

INTRODUCTION: Prostate cancer (PCa) exhibits one of the widest racial and socioeconomic disparities. PCa disparities have also been widely linked to location, as living in more deprived regions was associated with lower healthcare access and worse outcomes. This study aims to examine PCa survival across various USA counties in function of different socioeconomic profiles and discuss the role of potential intermediary factors. METHODS: The SEER database linked to county-level SES was utilized. Five-year PCa-specific survival using the Kaplan-Meier method was performed for five racial/ethnic categories in function of SES quintiles. Multilevel Cox proportional hazards regression was performed to assess the relationship between county-level SES and PCa survival. Multivariate regression analysis was performed to examine the role of healthcare utilization and severity. RESULTS: A total of 239,613 PCa records were extracted, and 5-year PCa-specific survival was 94%. Overall, living in counties in the worst poverty/income quintile and the worst high-school level education increased PCa mortality by 38% and 33%, respectively, while the best bachelor's-level education rates decreased mortality risk by 23%. Associations varied considerably upon racial/ethnic stratification. Multilevel analyses showed varying contributions of individual and area-level factors to survival within minorities. The relationship between SES and PCa survival appeared to be influenced by healthcare utilization and disease stage/grade. DISCUSSION: Racial/ethnic categories responded differently under similar county-level SES and individual-level factors to the point where disparities reversed in Hispanic populations. The inclusion of healthcare utilization and severity factors may provide partial early support for their role as intermediaries. Healthcare access (insurance) might not necessarily be associated with better PCa survival through the performance of biopsy and or/surgery. County-level education plays an important role in PCa decision making as it might elucidate discussions of other non-invasive management options. CONCLUSIONS: The findings of this study demonstrate that interventions need to be tailored according to each group's needs. This potentially informs the focus of public health efforts in terms of planning and prioritization. This study could also direct further research delving into pathways between area-level characteristics with PCa survival.

A Systematic Review for Health Disparities and Inequities in Multiparametric Magnetic Resonance Imaging for Prostate Cancer Diagnosis.

RATIONALE AND OBJECTIVES: Multi-parametric Magnetic Resonance Imaging (mpMRI) is a novel procedure recommended by the American Urological Association for Prostate Cancer (PCa) diagnosis. In radiology, differences in utilization of expensive screening techniques are described but never reviewed for mpMRI. Thus, our article aims at summarizing disparities relating to the expensive yet revolutionary mpMRI in United States men with PCa while highlighting needed research areas. MATERIAL AND METHODS: Eligible articles were gathered via PubMed query, referred publications known to the authors or from the reference lists of the identified publications. We excluded studies that didn't specifically evaluate mpMRI technique, weren't conducted in the United States, or didn't directly assess the relationship between disparities and mpMRI. No date restrictions were applied, resulting articles were published through 2020. RESULTS: Out of 80 publications, 17 were selected. Two unique themes were identified: 1) disparities in mpMRI utilization, and 2) performance. While demographic factors such as race, age and socioeconomic status played a significant role in utilization, mpMRI demonstrated equal and sometimes superior performance in AAs. CONCLUSION: Our findings illustrate the importance of disparity awareness in PCa mpMRI and highlight the need to examine additional mpMRI disparities across other races and social determinants. A new area of inequity in PCa was theoretically illustrated, as lower utilization of mpMRI was detected in a group that could potentially benefit from it the most. Major limitation was the selected search terms. Our review is unique as disparities related to mpMRI were found to be multilayered, affecting utilization and performance. Continued research is needed to discover additional areas in efforts to reduce disparity gaps related to mpMRI and PCa.

Trends in Breast Cancer Staging at Diagnosis Associated with Screening Campaigns in Lebanon.

Introduction: Mammography screening has been shown to improve early breast cancer (BC) detection, by shifting the disease at diagnosis to locally confined stages, offering lighter treatments and better prognoses. BC awareness campaigns calling for annual mammography screenings have been ongoing in Lebanon since 2002. Changes in BC staging at diagnosis as a consequence of documented improvements in mammography uptake remain to be described. Materials and Methods: We reviewed 2,822 BC cases identified by pathology reports in the American University of Beirut Medical Center between the years 1990 and 2015. After age stratification, we have trended the extracted stages versus time. Results were compared between the prescreening (1990-2001) and the postscreening period (2002-2015). Results: During the postscreening period, stage I represented 31%, stage II 47%, stage III 14%, and stage IV 8% of the cases. Stage I cases had more than doubled whereas stage III cases showed a mirror decrease compared with the years before the implementation of awareness campaigns. The increase in stage I was significantly more prominent in women aged 40 years and older (from 14% to 32%), compared with the younger group. Shifts in staging happened in parallel with a concurrent rise in reported uptake of mammography screening. Conclusions: Our findings demonstrate significant trends in earlier detection, which are likely associated with an increase in screening uptake and an awareness of BC as a public health issue. Staging data from hospitals all over Lebanon should be available for building national evidence. The Ministry of Public Health should require reporting of BC stage at diagnosis to the National Cancer Registry, as part of the annual cancer incidence reporting in Lebanon.