Racial disparities in the survival of patients with indolent non-Hodgkin lymphomas in the United States

Non-Hodgkin lymphoma mortality disparities across different sexes, races, and geographic locations

Non-Hodgkin lymphoma (NHL) is one of the most common hematological cancers in the United States. The mortality rate of NHL in the United States is the sixth highest among all cancers. Our cross-sectional study aims to examine the trends and disparity in NHL mortality. We analyzed death certificate data from the Centers for Disease Control and Prevention's Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) United States to determine the NHL mortality trends among the U.S. population aged ≥15 years. NHL (ICD-10 C82-85) was listed as the underlying cause of death. Age-adjusted mortality rates (AAMRs) per 100,000 individuals and joinpoint trend analysis were performed to determine the average annual percent change (AAPC) in AAMR trends. From 1999 to 2020, NHL accounted for 457,143 deaths in the United States, of which 54% are men and 46% are women. The NHL AAMR decreased significantly from 10.59 to 6.21 per 100,000 individuals with an AAPC of -2.55. Men had a higher AAMR than women (10.10 vs 6.29 per 100,000 individuals). Whites recorded the highest AAMR (8.43 per 100,000 individuals), followed by Hispanics (6.32 per 100,000 individuals), Blacks (5.71 per 100,000 individuals), American Indians (5.31 per 100,000 individuals), and Asians (5.10 per 100,000 individuals). Those who lived in the Midwest and the rural areas had the highest AAMR at 8.60 and 8.35 per 100,000 individuals respectively. Despite the declining NHL mortality rate, this study calls for targeted intervention to improve outcomes for susceptible individuals affected by NHL.

Racial and Ethnic Disparity for Cancer Mortality in General and Single-Payer Healthcare Systems in the United States

BACKGROUND

It remains unclear what factors significantly drive racial disparity in cancer survival in the United States (US). We compared adjusted mortality outcomes in cancer patients from different racial and ethnic groups on a population level in the US and a single-payer healthcare system.

PATIENTS AND METHODS

We selected adult patients with incident solid and hematologic malignancies from the Surveillance, Epidemiology, and End Results (SEER) 2011-2020 and Veteran Affairs national healthcare system (VA) 2011-2021. We classified the self-reported NIH race and ethnicity into non-Hispanic White (NHW), non-Hispanic Black (NHB), non-Hispanic Asian Pacific Islander (API), and Hispanic. Cox regression models for hazard ratio of racial and ethnic groups were built after adjusting confounders in each cohort.

RESULTS

The study included 3,104,657 patients from SEER and 287,619 patients from VA. There were notable differences in baseline characteristics in the two cohorts. In SEER, adjusted HR for mortality was 1.12 (95% CI, 1.12-1.13), 1.03 (95% CI, 1.03-1.04), and 0.91 (95% CI, 0.90-0.92), for NHB, Hispanic, and API patients, respectively, vs. NHW. In VA, adjusted HR was 0.94 (95% CI, 0.92-0.95), 0.84 (95% CI, 0.82-0.87), and 0.96 (95% CI, 0.93-1.00) for NHB, Hispanic, and API, respectively, vs. NHW. Additional subgroup analyses by cancer types, age, and sex did not significantly change these associations.

CONCLUSIONS

Racial disparity continues to persist on a population level in the US especially for NHB vs. NHW patients, where the adjusted mortality was 12% higher in the general population but 6% lower in the single-payer VA system.

Opportunities, challenges, and future directions for simulation modeling the effects of structural racism on cancer mortality in the United States: a scoping review

PURPOSE

Structural racism could contribute to racial and ethnic disparities in cancer mortality via its broad effects on housing, economic opportunities, and health care. However, there has been limited focus on incorporating structural racism into simulation models designed to identify practice and policy strategies to support health equity. We reviewed studies evaluating structural racism and cancer mortality disparities to highlight opportunities, challenges, and future directions to capture this broad concept in simulation modeling research.

METHODS

We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. Articles published between 2018 and 2023 were searched including terms related to race, ethnicity, cancer-specific and all-cause mortality, and structural racism. We included studies evaluating the effects of structural racism on racial and ethnic disparities in cancer mortality in the United States.

RESULTS

A total of 8345 articles were identified, and 183 articles were included. Studies used different measures, data sources, and methods. For example, in 20 studies, racial residential segregation, one component of structural racism, was measured by indices of dissimilarity, concentration at the extremes, redlining, or isolation. Data sources included cancer registries, claims, or institutional data linked to area-level metrics from the US census or historical mortgage data. Segregation was associated with worse survival. Nine studies were location specific, and the segregation measures were developed for Black, Hispanic, and White residents.

CONCLUSIONS

A range of measures and data sources are available to capture the effects of structural racism. We provide a set of recommendations for best practices for modelers to consider when incorporating the effects of structural racism into simulation models.

Survival of U.S. Military Service Members With Lymphoma

INTRODUCTION

Cancer is a prominent cause of mortality in today's active duty service members (ADSMs), killing over 700 ADSMs between 2004 and 2015. Hence, more research is needed to better understand the survival of U.S. service members with cancer. Lymphoma is the most common hematologic malignancy diagnosed in ADSMs, serving as a good cancer type to study.

MATERIALS AND METHODS

The Department of Defense tumor registry and the Surveillance, Epidemiology, and End Result (SEER) databases were retrospectively accessed to analyze overall survival (OS) of ADSMs with lymphoma and to compare outcomes with matched civilians. ADSMs with Hodgkin lymphoma (HL), diffuse large B-cell lymphoma (DLBCL), and indolent lymphoma diagnosed between 1997 and 2017 were included, and SEER comparator patients were matched by age, sex, race, stage, and year of diagnosis using a 4:1 ratio of civilians to ADSMs.

RESULTS

There were 1,170, 443, and 284 ADSMs with HL, DLBCL, and indolent lymphoma, respectively, and all three groups had superior OS when compared to their matched civilian counterparts with 35%, 49%, and 48% reductions in the risk of death, respectively. There were no differences in ADSM survival based on race, sex, or rank, despite disparities being pervasive in the civilian sector.

CONCLUSIONS

Service members with lymphoma have superior survival than their matched civilian counterparts, without evident racial or sex disparities. Results of this study are favorable in terms of readiness. Further research on cancer mortality in ADSMs is needed to improve long-term outcomes.

ABO Blood Group and the Risk and Prognosis of Lymphoma

ABO blood group antigens exhibit alternative phenotypes and genetically derived structures that are located on the red cell surface. The role of ABO blood group in cancer biology has been intensely reported by several studies, and it is now widely recognized that ABO antigens are associated with the risk and prognosis of several types of tumors, namely gastric cancer and pancreatic cancer. However, there have been contentious limited issues with the association between the ABO blood group and lymphoma. In this narrative review, based on literature data, we discuss the role of ABO blood group in the risk and prognosis of lymphoma and summarize the current knowledge of the underlying pathogenic mechanisms of the association. The possible association of ABO blood group with racial disparities and pathological classification in lymphoma patients is also discussed.

Disparities in Emergency Medical Services Care Delivery in the United States: A Scoping Review

BACKGROUND

Emergency medical services (EMS) often serve as the first medical contact for ill or injured patients, representing a critical access point to the health care delivery continuum. While a growing body of literature suggests inequities in care within hospitals and emergency departments, limited research has comprehensively explored disparities related to patient demographic characteristics in prehospital care.

OBJECTIVE

We aimed to summarize the existing literature on disparities in prehospital care delivery for patients identifying as members of an underrepresented race, ethnicity, sex, gender, or sexual orientation group.

METHODS

We conducted a scoping review of peer-reviewed and non-peer-reviewed (gray) literature. We searched PubMed, CINAHL, Web of Science, Proquest Dissertations, Scopus, Google, and professional websites for studies set in the U.S. between 1960 and 2021. Each abstract and full-text article was screened by two reviewers. Studies written in English that addressed the underrepresented groups of interest and investigated EMS-related encounters were included. Studies were excluded if a disparity was noted incidentally but was not a stated objective or discussed. Data extraction was conducted using a standardized electronic form. Results were summarized qualitatively using an inductive approach.

RESULTS

One hundred forty-five full-text articles from the peer-reviewed literature and two articles from the gray literature met inclusion criteria: 25 studies investigated sex/gender, 61 studies investigated race/ethnicity, and 58 studies investigated both. One study investigated sexual orientation. The most common health conditions evaluated were out-of-hospital cardiac arrest (n = 50), acute coronary syndrome (n = 36), and stroke (n = 31). The phases of EMS care investigated included access (n = 55), pre-arrival care (n = 46), diagnosis/treatment (n = 42), and response/transport (n = 40), with several studies covering multiple phases. Disparities were identified related to all phases of EMS care for underrepresented groups, including symptom recognition, pain management, and stroke identification. The gray literature identified public perceptions of EMS clinicians' cultural competency and the ability to appropriately care for transgender patients in the prehospital setting.

CONCLUSIONS

Existing research highlights health disparities in EMS care delivery throughout multiple health outcomes and phases of EMS care. Future research is needed to identify structured mechanisms to eliminate disparities, address clinician bias, and provide high-quality equitable care for all patient populations.

Racial differences in the survival of mantle cell lymphoma patients in the United States

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