Citations

11186 Background: Cancer survival is shaped by tumor biology, treatment access, and socioeconomic context, yet population-level quantification of long-term survival disparities related to chemotherapy use and income is limited. We assessed five-year cancer-specific survival across demographic, treatment, and socioeconomic strata in a national registry. Methods: We performed a retrospective, population-based survival analysis using the Surveillance, Epidemiology, and End Results (SEER) database. Cancer-specific survival was evaluated at 12, 24, 36, 48, and 60 months after diagnosis. Outcomes were stratified by sex, race, chemotherapy receipt, and area-level median household income categories. Survival estimates were summarized descriptively and visualized using time-to-event curves. Results: Overall cancer-specific survival declined progressively over five years, from ~84% at 12 months to ~58% at 60 months. Sex differences were minimal, with similar five-year survival among males and females (~57–58%). Racial disparities were substantial: Asian/Pacific Islander patients demonstrated the highest survival across follow-up, while Black and American Indian/Alaska Native patients had lower early survival and persistent gaps at five years. Patients with recorded chemotherapy use had improved survival compared with those without or with unknown chemotherapy status; 12-month survival was ~88% versus ~80%, and five-year survival was ~65% versus ~57%, respectively. A pronounced socioeconomic gradient was observed: individuals in areas with median household income ≥$120,000 had higher five-year survival (~67%), whereas those in areas with income < $40,000 had markedly lower survival (~52%). Conclusions: In this national registry analysis, both chemotherapy utilization and higher socioeconomic status were strongly associated with improved long-term cancer survival, whereas persistent racial and income-related disparities remained evident. These findings highlight ongoing inequities in access to oncologic care and support the need for targeted policy interventions and equity-focused treatment delivery models. Interpretation should account for limitations inherent to observational registry data and potential residual confounding.

Abstract Background: Leukemia, a type of cancer of the blood forming tissues, compromises the immune system putting the body at risk of aggressive infections like septicemia. This can not only progress to septic shock but also death. The occurrence of the two conditions makes it almost necessary to understand the epidemiological patterns to increase the rates of survival. This study assesses the trends in mortality in patients with leukemia and septicemia in the United States from 1999-2023. Methods : We analyzed death certificates of adults aged 5 to 84 years' from the CDC-WONDER database with Leukemia (ICD-10 codes: C91, C92) and Septicemia (ICD-10 codes: A40, A41) from 1999-2023. Age-adjusted mortality rates (AAMR) per 100,000 population were stratified by gender, race, census region, year and age. Join-Point analysis was performed to estimate annual percent change (APC) and average annual percent change (AAPC) in mortality trends, along with 95% confidence intervals (CIs). Results : Between 1999 and 2023, Leukemia and Septicemia caused 56,497 deaths in patients aged 5 to 84 years. The total AAMR decreased from 0.78 in 1999 to 0.66 in 2023. Demographically, AAMR among the men decreased significantly from 1.04 to 0.85 (AAPC: -0.65; 95% CI: -0.80 to -0.49). Females experienced a decline in mortality from 0.59 to 0.46(AAPC: -0.44; 95% CI: -0.71 to -0.17). In terms of race, a slight decrease in mortality was witnessed in the mortality of Non-Hispanic (NH) Black or African Americans from 0.91 to 0.7 (AAPC:-1.13 ; 95% CI: -1.43 to -0.82), moreover the AAMR in the Hispanics decreased from 0.8 to 0.63 (AAPC: -0.04; 95% CI: -0.04 to -0.58) while those among the white community decreased from 0.78 to 0.68 (AAPC: -0.39; 95% CI: -0.58 to -0.19). Moreover, the Asian community also experienced a declining death rate. Geographically, regions in the Midwest showed the highest overall AAMR (0.75), followed by the West,Northeast and areas in the South with an overall AAMR of 0.72 . Between the urban and rural areas, rural areas had a higher AAMR as compared to the urban areas with an overall AAMR of 0.17. When stratified according to states, AAMRs varied highly from the highest in Kentucky (0.89) to the lowest in Maine(0.26). Conclusion: The overall mortality rates for leukemia and septicemia decreased between the years 1999-2023. The greatest change was seen in males, regions in the Northeast, racially in NH Blacks and the rural areas.

Abstract Background : Type 2 diabetes and Multiple myeloma are becoming a growing cause of worry among aging populations. Type 2 diabetes and Multiple myeloma share many risk factors like age, obesity, and chronic inflammation. It is also found that diabetes may influence the worsening of multiple myeloma. Hence it becomes crucial to understand the epidemiological intersections between the two conditions in order to optimise treatment and lower death rates. This study assesses the trends in mortality in patients with Type 2 diabetes and Multiple myeloma in the United States from 1999-2023. Methods : We analyzed death certificates of adults aged&gt;45 years' from the CDC-WONDER database with Type 2 diabetes (ICD-10 codes: E10-14) and Multiple myeloma (ICD-10 codes: C90) from 1999-2023. Age-adjusted mortality rates (AAMR) per 100,000 population were stratified by gender, race, census region, year and age. Join-Point analysis was performed to estimate annual percent change (APC) and average annual percent change (AAPC) in mortality trends, along with 95% confidence intervals (CIs). Results: Between 1999 and 2023, Type 2 diabetes and Multiple myeloma caused 22,467 deaths in patients aged&gt;45 years. The overall AAMR increased from 0.647 in 1999 to 0.886 in 2023. Demographically, AAMR among the men increased significantly from 0.827 to 1.205 (AAPC: 1.22; 95% CI: -1.02 to 3.52). Although experiencing a lower mortality as compared to males, females also experienced a surge in mortality from 0.563 to 0.633(AAPC: 0.90; 95% CI: -0.11 to 1.93). In terms of race, mortality increased among the Non-Hispanic (NH) Black or African Americans from 1.942 to 2.158 (AAPC:0.60 ; 95% CI: -0.06 to 1.26), moreover the AAMR in the Hispanics increased from 0.986 to 1.099 (AAPC: 0.84; 95% CI:-0.05 to 1.73) while those among the white community increased from 0.493 to 0.679 (AAPC: 0.87; 95% CI -1.13 to 2.91). Geographically, regions in the South showed the highest overall AAMR (0.760) followed by the West (0.748), followed by the Midwest(0.731), and the Northeast (0.617). Between the urban and rural areas, rural areas had a higher AAMR as compared to the urban areas with an overall AAMR of 0.809. When stratified according to states, AAMRs varied highly from the highest in Columbia to the lowest in California. Conclusion: The overall mortality rates for Type 2 diabetes and Multiple myeloma increased between the years 1999-2023. The greatest change was seen in males, regions in the Northeast, racially in NH Blacks and the rural areas.