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Race is directly or indirectly incorporated into many AI systems. These systems, which automate typically human tasks, are used across various domains such as predictive policing, disease detection, government resource allocation, and loan approvals. However, these tools have been criticized for handling race insensitively or inaccurately. Despite the prevalent use of race in these AI systems, it is often not properly defined. It is treated as an obvious concept and represented as fixed categories, which fail to fully incorporate the social meaning surrounding race. Thus, in this review article, we define race and discuss how it is represented in AI systems. We also explore the consequences of such representations and offer recommendations on how to incorporate race more appropriately in these systems.

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Limited data describe the epidemiology and risk factors of acral lentiginous melanoma (ALM). In this retrospective analysis, we examined trends in incidence and mortality of ALM among racial and ethnic minoritized populations. We queried 22 Surveillance, Epidemiology, and End Results registries for cases of ALM among Hispanics, non-Hispanic Asians or Pacific Islanders (NHAPIs), non-Hispanic Blacks (NHBs), and non-Hispanic Whites (NHWs) from 2000 through 2020. Age-adjusted incidence and annual percentage changes (APCs) were estimated. Kaplan-Meier curves were stratified by race and ethnicity and compared with log-rank tests. Cox proportional hazard regression models were adjusted for age, sex, race, ethnicity, income, urban-rural residence, stage, and treatment. Of 4188 total cases of ALM with complete data, our study cohort was comprised of 792 (18.9%) Hispanics, 274 (6.5%) NHAPIs, 336 (8.0%) NHBs, and 2786 (66.5%) NHWs. The age-adjusted incidence of ALM increased by 2.48% (P < 0.0001) annually from 2000 to 2020, which was driven by rising rates among Hispanics (APC 2.34%, P = 0.001) and NHWs (APC 2.69%, P < 0.0001). Incidence remained stable among NHBs (APC 1.15%, P = 0.1) and NHAPIs (APC 1.12%, P = 0.4). From 2000 through 2020, 765 (18.3%) patients died from ALM. Compared to NHWs, Hispanics, NHAPIs, and NHBs had significantly increased ALM-specific mortality (all P < 0.0001). Unadjusted and adjusted cause-specific mortality modeling revealed significantly elevated risk of ALM-specific mortality among Hispanics (hazard ratio [HR] 1.46, 95% confidence interval [CI] 1.22-1.75; adjusted hazard ratio [aHR] 1.38, 95% CI 1.14-1.66), NHAPIs (HR 1.80, 95% CI 1.41-2.32; aHR 1.58, 95% CI 1.23-2.04), and NHBs (HR 1.98, 95% CI 1.59-2.47; aHR 2.19, 95% CI 1.74-2.76) (all P < 0.001). Our study finds rising incidence of ALM among Hispanics and NHWs along with elevated risk of ALM-specific mortality among racial and ethnic minoritized populations. Future strategies to mitigate health inequities in ALM are warranted.

OBJECTIVE: To determine the rate skin color is reported in randomized controlled trials (RCTs) involving basal cell carcinoma (BCC) identification and treatment in the top ten dermatology journals.
METHODS: A systematic review was conducted of RCTs involving BCC among the top ten dermatology journals, determined by impact factor, from inception to July 11th, 2023. Studies were included if they reviewed the prevention, detection, and treatment of BCC, directly involved patients, and were classified as RCTs. Studies were classified as positive for reporting skin of color (SOC) if the demographic data in the methods or results included any of the following terms: Fitzpatrick scale, race, ethnicity, skin of color, or sunburn tendency.
RESULTS: Of the 51 studies identified, only 23 articles reported data pertaining to skin color within the results section (45.1%); whereas 28 articles mentioned skin color somewhere within the text (54.9%). Subgroup analysis was performed, and no statistical significance was found for study location or year of publication.
CONCLUSIONS: Dark skin color can make it more difficult to diagnose skin tumors and it is unknown if race affects response to treatment. Less than 50% of RCTs related to basal cell carcinoma in top international dermatology journals included skin color within the demographic portion of their results section pertaining to study participants. Subgroup analysis demonstrated that studies performed within the United States reported skin color less than half the time (40%). Additionally, there has been no statistically significant difference in reporting over the past 4 decades. Further research is necessary to determine whether low reporting rates of race/skin color in BCC-related RCTS could impact diagnostic or treatment recommendations for patient care in this group.

BACKGROUND: The annual incidence of sudden cardiac death is over 300,000 in the United States (US). Historically, inpatient implantation of secondary prevention implantable cardioverter defibrillator (ICD) has been variable and subject to healthcare disparities.
OBJECTIVE: To evaluate contemporary practice trends of inpatient secondary prevention ICD implants within the US on the basis of race, sex, and socioeconomic status (SES).
METHODS: The study is a retrospective analysis of the National Inpatient Sample from 2016 to 2020 of adult discharges with a primary diagnosis of ventricular tachycardia (VT), ventricular flutter, and fibrillation (VF). Adjusted ICD implantation rates based on race, sex, and SES and associated temporal trends were calculated using multivariate regression.
RESULTS: A total of 193,600 primary VT/VF discharges in the NIS were included in the cohort, of which 57,895 (29.9%) had ICD placement. There was a significant racial and ethnic disparity in ICD placement for Black, Hispanic, Asian, and Native American patients as compared to White patients; adjusted odds ratio (aOR): 0.86 [p < .01], 0.90 [p  =  .03], 0.81[p < .01], 0.45 [p < .01], respectively. Female patients were also less likely to receive an ICD compared to male patients (aOR: 0.75, p < .01). Disparities in ICD placement remained stable over the study period (ptrend ≥ .05 in all races, both sexes and income categories).
CONCLUSIONS: Racial, sex, and SES disparities persisted for secondary prevention ICD implants in the US. An investigation into contributing factors and subsequent approaches are needed to address the modifiable causes of disparities in ICD implantation as these trends have not improved compared to historic data.

BACKGROUND: Black people with multiple sclerosis (MS) have a worse disease course and higher rates of progression than White people with MS. Contributing factors to health disparities are understudied.
METHODS: Data were collected retrospectively from the electronic medical records of 500 people with MS treated between 2013 and 2022 at a university comprehensive MS center in a southern state. Multiple logistic regression analyses were used to determine the associations between 2 disability outcomes (ie, low vs high Expanded Disability Status Score [EDSS] and ambulatory assistance [AMB] requirements) and age, sex, body mass index (BMI), MS type, disease duration, hypertension status, diabetes status, smoking status, adjusted gross income, and health insurance type for Black people with MS and White people with MS.
RESULTS: Of the cohort, 39.2% identified as Black people with MS and the rest were White people with MS. Approximately 80% of White people with MS had relapsing MS (RMS) vs almost 90% of Black people with MS. Black people with MS were more likely to have a higher EDSS (OR 5.0, CI 3.0-8.4) and AMB (OR, 2.8; 95% CI, 1.6-4.8) than White people with MS. Among White people with MS, women (OR, 0.5; 95% CI, 0.3-0.9) and people with RMS (OR, 0.13; 95% CI 0.06-0.3) were less likely to have higher EDSS scores. Among Black people with MS, neither female sex nor RMS status was associated with a lower risk of having a higher EDSS (OR, 0.685; P = .43 and OR, 0.394; P = .29, respectively).
CONCLUSIONS: The disparity in disability outcomes between Black people with MS and White people with MS may be driven by more disabling courses for Black people with RMS and by female sex, though further study is needed to determine causes for this outcome.

OBJECTIVE: Family planning researchers have not critically engaged with topics of race, racism, and associated concepts like ethnicity. This lack of engagement contributes to the reproduction of research that reifies racial hierarchies rather than illuminates, and interrupts, the processes by which racism affects health. This research practice support paper lays out considerations and best practices for addressing race and racism in quantitative family planning research.
METHODS: We are scholars with racialized identities and expertise in racial health equity in family planning research. We draw from scholarship and guidance across disciplines to examine common shortcomings in the use and analysis of race and racism and propose practices for rigorous use of these concepts in quantitative family planning research.
RESULTS: We recommend articulating the role of race and racism in the development of the research question, authorship and positionality, study design, data collection, analytic approach, and interpretation of analyses. Definitions of relevant concepts and additional resources are provided.
CONCLUSIONS: Family planning and racism are inextricably linked. Failing to name and analyze the pathways through which structural racism affects family planning and the people who need or want to plan if, when, or how to become pregnant or parent may reproduce harmful and incorrect beliefs about the causes of health inequities and the attributes of Black, Indigenous, and other people racialized as non-white. Family planning researchers should critically study racism and race with procedures grounded in appropriate and articulated theory, evidence, and analytic approaches.
CONCLUSIONS: Family planning research can better contribute to efforts to eliminate racialized health inequities, and avoid perpetuating harmful beliefs and conceptualizations of race, by ensuring that they study race and racism with procedures grounded in appropriate and articulated theory, evidence, and analytic approaches.

BACKGROUND: Gallbladder cancer (GBC) is an aggressive malignancy that is usually diagnosed at a late stage. Prior data showed increasing incidence of GBC in the US. However, little is known about race/ethnic-specific incidence and mortality trends of GBC per stage at diagnosis. Therefore, we aimed to conduct a time-trend analysis of GBC incidence and mortality rates categorized by race/ethnicity and stage-at-diagnosis.
METHODS: Age-adjusted GBC incidence and mortality rates were calculated using SEER*Stat software from the United States Cancer Statistics database (covers ~98% of US population between 2001 and 2020) and NCHS (covers ~100% of the US population between 2000 and 2020) databases, respectively. Race/Ethnic groups were Non-Hispanic-White (NHW), Non-Hispanic-Black (NHB), Hispanic, Non-Hispanic-Asian/Pacific-Islander (NHAPI), and Non-Hispanic-American-Indian/Alaska-Native (NHAIAN). Stage-at-diagnoses were all stages, early, regional, and distant stages. Joinpoint regression was used to generate time-trends [annual percentage change (APC) and average APC (AAPC)] with parametric estimations and a two-sided t-test (p-value cut-off 0.05).
RESULTS: 76,873 patients were diagnosed with GBC with decreasing incidence rates in all races/ethnicities except NHB who experienced an increasing trend between 2001 and 2014 (APC = 2.08, p < 0.01) and plateauing afterward (APC = -1.21, p = 0.31); (AAPC = 1.03, p = 0.03). Among early-stage tumors (9927 patients), incidence rates were decreasing only in Hispanic (AAPC = -4.24, p = 0.006) while stable in other races/ethnicities (NHW: AAPC = -2.61, p = 0.39; NHB: AAPC = -1.73, p = 0.36). For regional-stage tumors (29,690 patients), GBC incidence rates were decreasing only in NHW (AAPC = -1.61, p < 0.001) while stable in other races/ethnicities (NHB: AAPC = 0.73, p = 0.34; Hispanic: AAPC = -1.58, p = 0.24; NHAPI: AAPC = -1.22, p = 0.07). For distant-stage tumors (31,735 patients), incidence rates were increasing in NHB (AAPC = 2.72, p < 0.001), decreasing in Hispanic (AAPC = -0.64, p = 0.04), and stable in NHW (AAPC = 0.07, p = 0.84) and NHAPI (AAPC = 0.79, p = 0.13). There were 43,411 deaths attributed to GBC with decreasing mortality rates in all races/ethnicities except NHB who experienced a stable trend (AAPC = 0.25, p = 0.25).
CONCLUSIONS: Nationwide data over the last two decades show that NHB patients experienced increasing GBC incidence between 2001 and 2014 followed by stabilization of the rates. This increase was driven by late-stage tumors and occurred in the first decade. NHB also experienced non-improving GBC mortality, compared to other race and ethnic groups who had decreasing mortality. This can be due to lack of timely-access to healthcare leading to delayed diagnosis and worse outcomes. Future studies are warranted to investigate contributions to the revealed racial and ethnic disparities, especially in NHB, to improve early detection.

UNASSIGNED: Non-Hispanic Black (NHB) Americans have a higher incidence of colorectal cancer (CRC) and worse survival than non-Hispanic white (NHW) Americans, but the relative contributions of biological versus access to care remain poorly characterized. This study used two nationwide cohorts in different healthcare contexts to study health system effects on this disparity.
UNASSIGNED: We used data from the Surveillance, Epidemiology, and End Results (SEER) registry as well as the United States Veterans Health Administration (VA) to identify adults diagnosed with colorectal cancer between 2010 and 2020 who identified as non-Hispanic Black (NHB) or non-Hispanic white (NHW). Stratified survival analyses were performed using a primary endpoint of overall survival, and sensitivity analyses were performed using cancer-specific survival.
UNASSIGNED: We identified 263,893 CRC patients in the SEER registry (36,662 (14%) NHB; 226,271 (86%) NHW) and 24,375 VA patients (4,860 (20%) NHB; 19,515 (80%) NHW). In the SEER registry, NHB patients had worse OS than NHW patients: median OS of 57 months (95% confidence interval (CI) 55-58) versus 72 months (95% CI 71-73) (hazard ratio (HR) 1.14, 95% CI 1.12-1.15, p = 0.001). In contrast, VA NHB median OS was 65 months (95% CI 62-69) versus NHW 69 months (95% CI 97-71) (HR 1.02, 95% CI 0.98-1.07, p = 0.375). There was significant interaction in the SEER registry between race and Medicare age eligibility (p < 0.001); NHB race had more effect in patients <65 years old (HR 1.44, 95% CI 1.39-1.49, p < 0.001) than in those ≥65 (HR 1.13, 95% CI 1.11-1.15, p < 0.001). In the VA, age stratification was not significant (p = 0.21).
UNASSIGNED: Racial disparities in CRC survival in the general US population are significantly attenuated in Medicare-aged patients. This pattern is not present in the VA, suggesting that access to care may be an important component of racial disparities in this disease.