Can the rate and location of sessile serrated polyps be part of colorectal Cancer disparity in African Americans?

Artificial intelligence in gastroenterology and hepatology: how to advance clinical practice while ensuring health equity

Artificial intelligence (AI) and machine learning (ML) systems are increasingly used in medicine to improve clinical decision-making and healthcare delivery. In gastroenterology and hepatology, studies have explored a myriad of opportunities for AI/ML applications which are already making the transition to bedside. Despite these advances, there is a risk that biases and health inequities can be introduced or exacerbated by these technologies. If unrecognised, these technologies could generate or worsen systematic racial, ethnic and sex disparities when deployed on a large scale. There are several mechanisms through which AI/ML could contribute to health inequities in gastroenterology and hepatology, including diagnosis of oesophageal cancer, management of inflammatory bowel disease (IBD), liver transplantation, colorectal cancer screening and many others. This review adapts a framework for ethical AI/ML development and application to gastroenterology and hepatology such that clinical practice is advanced while minimising bias and optimising health equity.

Black and White Differences in Colorectal Cancer Screening and Screening Outcomes: A Narrative Review

Racial disparities in colorectal cancer incidence are widely documented. There are two potential mechanisms for these disparities: differences in access to screening, including screening follow-up, and differences in underlying risk of colorectal cancer. We reviewed the literature for evidence of these two mechanisms. We show that higher colorectal cancer incidence in blacks relative to whites emerged only after the dissemination of screening and describe evidence of racial disparities in screening rates. In contrast to the strong evidence for differences in colorectal cancer screening utilization, there is limited evidence for racial differences in adenoma prevalence. In general, black and white patients who are screened have similar adenoma prevalence, though there is some evidence that advanced adenomas and adenomas in the proximal colon are somewhat more likely in black than white patients. We conclude that higher rates of colorectal cancer incidence among black patients are primarily driven by lower rates of colorectal cancer screening. Our findings highlight the need to increase black patients' access to quality screening to reduce colorectal cancer incidence and mortality.

Patterns of Early-Onset Colorectal Cancer Among Nigerians and African Americans

PURPOSE

Colorectal cancer (CRC) incidence rates are increasing among individuals < 50 years of age (early-onset CRC) globally with causes unknown. Racial/ethnic disparities in early-onset CRC have also grown more pronounced, because Black individuals have higher early-onset CRC incidence and poorer survival compared with White individuals. We describe the prevalence and burden of early-onset CRC among Africans in Nigeria and African Americans (AAs) in the United States.

PATIENTS AND METHODS

We identified Black individuals diagnosed with a first primary CRC ages 18 to 49 years between 1989 and 2017 at Ahmadu Bello University Teaching Hospital in Zaria, Nigeria (Nigerians), and in the United States (AAs) using the National Institutes of Health/National Cancer Institute's SEER program of cancer registries. Multivariable logistic regression models were used to investigate clinical and demographic differences between Nigerians and AAs with early-onset CRC, adjusted for age, sex, tumor site, and histology.

RESULTS

A total of 5,019 Black individuals were diagnosed with early-onset CRC over the study period (379 Nigerians; 4,640 AAs). Overall, approximately one third of young Black patients were diagnosed with rectal tumors (35.8%). Nigerian individuals with early-onset CRC were eight-fold more likely to be diagnosed with rectal tumors (odds ratio [OR], 8.14; 95% CI, 6.23 to 10.62; P < .0001) and more likely to be diagnosed at younger ages (OR, 0.87; 95% CI, 0.86 to 0.89; P < .0001) compared with young African Americans in adjusted models.

CONCLUSION

Compared with AA individuals diagnosed with early-onset CRC, Nigerian individuals harbor distinct features of early-onset CRC. Additional investigation of the histopathologic and biologic heterogeneity of early-onset CRCs among Black individuals is critical for understanding racial disparities in susceptibility and outcomes, which may have implications for tailored early-onset CRC prevention, detection, and treatment strategies.