Geographical, racial and socio-economic variation in life expectancy in the US and their impact on cancer relative survival

Inequalities in relative cancer survival by race, immigration status, income, and education for 22 cancer sites in Canada, a cohort study

There is a paucity of disaggregated data to monitor cancer health inequalities in Canada. We used data linkage to estimate site-specific cancer relative survival by race, immigration status, household income, and education level in Canada. We pooled the Canadian Census Health and Environment Cohorts, which are linked datasets of 5.9 million respondents of the 2006 long-form census and 6.5 million respondents of the 2011 National Household Survey. Individual-level respondent data from these surveys were probabilistically linked with the Canadian Cancer Registry up to 2015 and with the Canadian Vital Statistics Death database up to 2019. We used propensity score matching and Poisson models to calculate age-standardized relative survival by equity stratifiers for all cancers combined and for 22 individual cancer sites for the period 2006-2019. There were 560,905 primary cancer cases diagnosed over follow-up included in survival analyses; the age-standardized period relative survival was 72.9% at 5 years post-diagnosis. 5-year relative survival was higher in immigrants (74.1%, 95%CI 73.8-74.4) than in Canadian-born persons (69.6%, 95%CI 69.4-69.8), and higher in racial groups with high proportions of immigrants. There was a marked socioeconomic gradient, with 11%-12% lower relative survival in cancer patients in the lowest household income and education levels than in the highest levels. Socioeconomic gradients were observed for most cancer sites, though the magnitude varied by site. The observed differences in relative survival suggest there remain important inequities in cancer control and care delivery and quality even in a universal healthcare system.

Assessing the effect of the COVID-19 pandemic on 1-year cancer survival in the United States

The COVID-19 pandemic had a substantial impact on health-care delivery. We used the Surveillance, Epidemiology, and End Results (SEER) data to assess changes in 1-year relative survival and competing risk probabilities of cancer and non-cancer death for patients diagnosed in 2018 Q2 (pre-pandemic) and 2020 Q2 (pandemic). For all cancer sites combined, 1-year relative survival declined from 82.3% in 2018 Q2 to 77.5% in 2020 Q2, with the steepest declines seen in stomach, leukemia, and liver cancers. However, survival improved nearing pre-pandemic levels during 2020 Q3. Competing risk survival measures revealed that the decline in 1-year survival was driven by increases in both the probability of dying of cancer (rising from 15.4% to 19.2%) and of other causes, including COVID-19 (rising from 3.8% to 5.2%). The pandemic led to substantial declines in survival and increased mortality from both cancer and other causes for patients diagnosed in 2020 Q2.

Validating the Social Vulnerability Index for alternative geographies in the United States to explore trends in social determinants of health over time and geographic location

Objective

To create county-, 5-digit ZIP code (ZIP-5)-, and 3-digit ZIP code (ZIP-3)-level datasets of the Social Vulnerability Index (SVI) and its components for 2016-2022 to validate the methodology beyond county level, explore trends in SVI over time and space, and demonstrate its usage in an enrichment exercise with health plan claims.

Materials and methods

The SVI consolidates 16 structural, economic, and demographic variables from the American Community Survey (ACS) into 4 themes: socioeconomic status, household characteristics, racial and ethnic minority status, and housing type and transportation. ACS estimates of the 16 variables for 2016-2022 were extracted for counties and ZIP code tabulation areas and for ZIP code geographies, crosswalked to ZIP-5, and aggregated to ZIP-3. Areas received a percentile ranking (range, 0-1) for SVI and each variable and composite theme, with higher values indicating greater social vulnerability.

Results

SVI estimates were produced for up to 3,143 counties, 32,243 ZIP-5s, and 886 ZIP-3s. SDoH trends across the US were largely consistent from 2016 to 2022 despite slight local changes over time. SVI varied across regions, with generally higher vulnerability in the South and lower vulnerability in the North and Northeast. When linked with health plan claims data, higher SVI (i.e., higher vulnerability) was associated with greater comorbidity burden.

Conclusion

SVI can be estimated at the ZIP-3 and ZIP-5 levels to provide area-level context, allowing for more routine integration of socioeconomic and health equity-related concepts into health claims and other datasets.

Improving public health data collection approaches across populations: findings from a national evaluation of fruit and vegetable incentives

OBJECTIVE

Public health approaches for addressing diet-related health in the USA include nutrition incentive (NI) and produce prescription (PPR) projects. These projects, funded through the US Department of Agriculture Gus Schumacher Nutrition Incentive Program (GusNIP), aim to support the intake of fruits and vegetables through healthy food incentives. Measuring the GusNIP impact is vital to assessing the ability of incentives to improve public health nutrition outcomes across populations. Shared measures used across GusNIP projects assess fruit and vegetable intake, food security and demographics, among other variables, through a participant survey. This study explored challenges and opportunities to evaluation across populations within a national public health oriented program, GusNIP.

DESIGN

This qualitative study used a sociodemographic survey, semi-structured interviews and focus groups. Descriptive statistics were used to summarise survey data, and applied thematic analysis was used to identify patterns in interview and focus group data.

SETTING

Data collection occurred in the USA virtually using Qualtrics and Zoom from fall 2021 to fall 2022.

PARTICIPANTS

Eighteen GusNIP PPR and NI data collectors, twenty-four external evaluators and eleven GusNIP National Training, Technical Assistance, Evaluation, and Information Center staff participated.

RESULTS

Opportunities to improve evaluation among GusNIP's participants include tailoring surveys to specific subpopulations, translations, culturally appropriate food examples, avoiding stigmatising language, using mixed methods and intentional strategies to enhance representation.

CONCLUSION

To increase applicability of data collection in public health programs, evaluation tools must reflect the experiences across populations. This study provides insights that can guide future NI, PPR and public health evaluations, helping to more effectively measure and understand outcomes of all communities.

Cancer statistics, 2025

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2021) and mortality data collected by the National Center for Health Statistics (through 2022). In 2025, 2,041,910 new cancer cases and 618,120 cancer deaths are projected to occur in the United States. The cancer mortality rate continued to decline through 2022, averting nearly 4.5 million deaths since 1991 because of smoking reductions, earlier detection for some cancers, and improved treatment. Yet alarming disparities persist; Native American people bear the highest cancer mortality, including rates that are two to three times those in White people for kidney, liver, stomach, and cervical cancers. Similarly, Black people have two-fold higher mortality than White people for prostate, stomach, and uterine corpus cancers. Overall cancer incidence has generally declined in men but has risen in women, narrowing the male-to-female rate ratio (RR) from a peak of 1.6 (95% confidence interval, 1.57-1.61) in 1992 to 1.1 (95% confidence interval, 1.12-1.12) in 2021. However, rates in women aged 50-64 years have already surpassed those in men (832.5 vs. 830.6 per 100,000), and younger women (younger than 50 years) have an 82% higher incidence rate than their male counterparts (141.1 vs. 77.4 per 100,000), up from 51% in 2002. Notably, lung cancer incidence in women surpassed that in men among people younger than 65 years in 2021 (15.7 vs. 15.4 per 100,000; RR, 0.98, p = 0.03). In summary, cancer mortality continues to decline, but future gains are threatened by rampant racial inequalities and a growing burden of disease in middle-aged and young adults, especially women. Continued progress will require investment in cancer prevention and access to equitable treatment, especially for Native American and Black individuals.

Uterine cancer incidence trends and 5-year relative survival by race/ethnicity and histology among women under 50 years

BACKGROUND

Uterine cancers diagnosed before age 50 years are increasing in the U.S., but changes in clinical characteristics and survival over time across racial/ethnic groups have not been previously described.

OBJECTIVE

To investigate age-adjusted, hysterectomy corrected incidence rates and trends, and 5-year relative survival rates of uterine cancer in women aged <50 years, overall and stratified by race/ethnicity and histology.

STUDY DESIGN

We included microscopically confirmed uterine cancer cases (diagnosed 2000-2019) in women aged 20 to 49 years from the Surveillance, Epidemiology, and End Results Program. Age-adjusted incidence and 5-year relative survival rates, and 95% confidence intervals were computed using Surveillance, Epidemiology, and End Results (SEER) ∗Stat and compared across time periods (2000-2009 and 2010-2019). Incidence rates were adjusted for hysterectomy prevalence using Behavioral Risk Factor Surveillance System data, and trends were computed using the Joinpoint regression program.

RESULTS

We included 57,128 uterine cancer cases. The incidence of uterine cancer increased from 10.1 per 100,000 in 2000-2009 to 12.0 per 100,000 in 2010-2019, increasing at an annual rate of 1.7%/y for the entire period. Rising trends were more pronounced among women <40 years (3.0%/y and 3.3%/y in 20-29 and 30-39 years, respectively) than in those 40 to 49 years (1.3%/y), and among underrepresented racial/ethnic groups (Hispanic 2.8%/y, non-Hispanic-Black 2.7%, non-Hispanic-Asian/Pacific Islander 2.1%) than in non-Hispanic-White (0.9%/y). Recent (2010-2019) incidence rates were highest for endometrioid (9.6 per 100,000), followed by sarcomas (1.2), and nonendometrioid subtypes (0.9). Rates increased significantly for endometrioid subtypes at 1.9%/y from 2000 to 2019. Recent endometrioid and nonendometrioid rates were highest in non-Hispanic-Native American/Alaska Native (15.2 and 1.4 per 100,000), followed by Hispanic (10.9 and 1.0), non-Hispanic-Asian/Pacific Islander (10.2 and 0.9), non-Hispanic-White (9.4 and 0.8), and lowest in non-Hispanic-Black women (6.4 and 0.8). Sarcoma rates were highest in non-Hispanic-Black women (1.8 per 100,000). The 5-year relative survival remained unchanged over time for women with endometrioid (from 93.4% in 2000-2009 to 93.9% in 2010-2019, P≥.05) and nonendometrioid subtypes (from 73.2% to 73.2%, P≥.05) but decreased for women with sarcoma from 69.8% (2000-2009) to 66.4% (2010-2019, P<.05).

CONCLUSION

Uterine cancer incidence rates in women <50 years have increased from 2000 to 2019 while survival has remained relatively unchanged. Incidence trends can be primarily attributed to increasing rates of cancers with endometrioid histology, with the greatest increases observed among non-Hispanic-Black, Hispanic, and non-Hispanic-Asian/Pacific Islander. Sarcomas, while much rarer, were the second most common type of uterine cancer among women <50 years and have poor prognosis and apparent decreasing survival over time. Rising rates of uterine cancer and the distinct epidemiologic patterns among women <50 years highlight the need for effective prevention and early detection strategies for uterine cancer in this age group.

RNA sequencing comparing centenarian and middle-aged women lymphoblastoid cell lines identifies age-related dysregulated expression of genes encoding selenoproteins, heat shock proteins, CD99, and BID

Women typically live longer than men, and constitute the majority of centenarians. We applied RNA-sequencing (RNA-seq) of blood-derived lymphoblastoid cell lines (LCLs) from women aged 60-80 years and centenarians (100-105 years), validated the RNA-seq findings by real-time PCR, and additionally measured the differentially expressed genes in LCLs from young women aged 20-35 years. Top RNA-seq genes with differential expression between the age groups included three selenoproteins (GPX1, SELENOW, SELENOH) and three heat shock proteins (HSPA6, HSPA1A, HSPA1B), with the highest expression in LCLs from young women, indicating that young women are better protected from oxidative stress. The expression of two additional genes, BID encoding BH3-interacting domain death agonist and CD99 encoding CD99 antigen, showed unique age dependence, with similar expression levels in young and centenarian women while exhibiting higher and lower expression levels, respectively, in LCLs from women aged 60-80 years compared with the two other age groups. This age-related differential expression of BID and CD99 suggests elevated inflammation susceptibility in middle-aged women compared with either young or centenarian women. Our findings, once validated with human peripheral blood mononuclear cells and further cell types, may lead to novel healthy aging diagnostics and therapeutics.

Five-Year Relative Survival Rates of Women Diagnosed with Uterine Cancer by County-Level Socioeconomic Status Overall and across Histology and Race/Ethnicity

Understanding socioeconomic factors contributing to uterine cancer survival disparities is crucial, especially given the increasing incidence of uterine cancer, which disproportionately impacts racial/ethnic groups. We investigated the impact of county-level socioeconomic factors on five-year survival rates of uterine cancer overall and by histology across race/ethnicity. We included 333,013 women aged ≥ 30 years with microscopically confirmed uterine cancers (2000-2018) from the Surveillance, Epidemiology, and End Results 22 database followed through 2019. Age-standardized five-year relative survival rates were compared within race/ethnicity and histology, examining the differences across tertiles of county-level percent (%) Collapse

Key Words

• five-year survival
• histologic subtype
• race/ethnic disparity
• race/ethnicity
• socioeconomic status
• uterine cancer

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MESH Headings Collapse

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Affiliation(s)

Akemi T. Wijayabahu Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA; (J.K.M.-A.); (M.S.S.); (M.A.C.)
Jennifer K. McGee-Avila Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA; (J.K.M.-A.); (M.S.S.); (M.A.C.)
Meredith S. Shiels Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA; (J.K.M.-A.); (M.S.S.); (M.A.C.)
Alfonsus Adrian H. Harsono Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (A.A.H.H.); (R.C.A.)
Rebecca C. Arend Division of Gynecologic Oncology, Department of Obstetrics and Gynecology, University of Alabama at Birmingham, Birmingham, AL 35233, USA; (A.A.H.H.); (R.C.A.)
Megan A. Clarke Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD 20850, USA; (J.K.M.-A.); (M.S.S.); (M.A.C.)

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Impact of cancer diagnosis on life expectancy by area-level socioeconomic groups in New South Wales, Australia: a population-based study

OBJECTIVE

Improvement in cancer survival over recent decades has not been accompanied by a narrowing of socioeconomic disparities. This study aimed to quantify the loss of life expectancy (LOLE) resulting from a cancer diagnosis and examine disparities in LOLE based on area-level socioeconomic status (SES).

METHODS

Data were collected for all people between 50 and 89 years of age who were diagnosed with cancer, registered in the NSW Cancer Registry between 2001 and 2019, and underwent mortality follow-up evaluations until December 2020. Flexible parametric survival models were fitted to estimate the LOLE by gender and area-level SES for 12 common cancers.

RESULTS

Of 422,680 people with cancer, 24% and 18% lived in the most and least disadvantaged areas, respectively. Patients from the most disadvantaged areas had a significantly greater average LOLE than patients from the least disadvantaged areas for cancers with high survival rates, including prostate [2.9 years (95% CI: 2.5-3.2 years) vs. 1.6 years (95% CI: 1.3-1.9 years)] and breast cancer [1.6 years (95% CI: 1.4-1.8 years) vs. 1.2 years (95% CI: 1.0-1.4 years)]. The highest average LOLE occurred in males residing in the most disadvantaged areas with pancreatic [16.5 years (95% CI: 16.1-16.8 years) vs. 16.2 years (95% CI: 15.7-16.7 years)] and liver cancer [15.5 years (95% CI: 15.0-16.0 years) vs. 14.7 years (95% CI: 14.0-15.5 years)]. Females residing in the least disadvantaged areas with thyroid cancer [0.9 years (95% CI: 0.4-1.4 years) vs. 0.6 years (95% CI: 0.2-1.0 years)] or melanoma [0.9 years (95% CI: 0.8-1.1 years) vs. 0.7 years (95% CI: 0.5-0.8 years)] had the lowest average LOLE.

CONCLUSIONS

Patients from the most disadvantaged areas had the highest LOLE with SES-based differences greatest for patients diagnosed with cancer at an early stage or cancers with higher survival rates, suggesting the need to prioritise early detection and reduce treatment-related barriers and survivorship challenges to improve life expectancy.

Tumor Is Not the Only Target: Ensuring Equitable Person-Centered Supportive Care in the Era of Precision Medicine

Communication in oncology has always been challenging. The new era of precision oncology creates prognostic uncertainty. Still, person-centered care requires attention to people and their care needs. Living with cancer portends an experience that is life-altering, no matter what the outcome. Supporting patients and families through this unique experience requires careful attention, honed skills, an understanding of process and balance measures of innovation, and recognizing that supportive care is a foundational element of cancer medicine, rather than an either-or approach, an and-with approach that emphasizes the regular integration of palliative care (PC), geriatric oncology, and skilled communication.

Public health system sustainability assessment by Gaidai hypersurface approach

BACKGROUND

to determine extreme cardiovascular and cancer diseases deathrate risks at any time in any region of interest.

DESIGN

Apply modern novel statistical methods to raw clinical surveillance data.

METHODS

multi-centre, population-based, medical survey data-based bio statistical approach. For this study, cardiovascular and cancer diseases annual recorded deaths numbers in all 195 world countries have been selected, constituting 390D (390-dimensional) biosystem. It is challenging to model such phenomena.

RESULTS

this paper describes a novel bio-system reliability approach, particularly suitable for multi-regional environmental and health systems, observed over a sufficient timelapse. Traditional statistical methods dealing with temporal observations of multi-regional processes do not have the advantage of dealing efficiently with extensive regional dimensionality. The suggested methodology coped with this challenge well.

CONCLUSIONS

the suggested methodology may be used in various public health applications, based on raw clinical survey data.

Cancer statistics, 2024

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries (through 2020) and mortality data collected by the National Center for Health Statistics (through 2021). In 2024, 2,001,140 new cancer cases and 611,720 cancer deaths are projected to occur in the United States. Cancer mortality continued to decline through 2021, averting over 4 million deaths since 1991 because of reductions in smoking, earlier detection for some cancers, and improved treatment options in both the adjuvant and metastatic settings. However, these gains are threatened by increasing incidence for 6 of the top 10 cancers. Incidence rates increased during 2015-2019 by 0.6%-1% annually for breast, pancreas, and uterine corpus cancers and by 2%-3% annually for prostate, liver (female), kidney, and human papillomavirus-associated oral cancers and for melanoma. Incidence rates also increased by 1%-2% annually for cervical (ages 30-44 years) and colorectal cancers (ages <55 years) in young adults. Colorectal cancer was the fourth-leading cause of cancer death in both men and women younger than 50 years in the late-1990s but is now first in men and second in women. Progress is also hampered by wide persistent cancer disparities; compared to White people, mortality rates are two-fold higher for prostate, stomach and uterine corpus cancers in Black people and for liver, stomach, and kidney cancers in Native American people. Continued national progress will require increased investment in cancer prevention and access to equitable treatment, especially among American Indian and Alaska Native and Black individuals.

A comprehensive analysis of neuroblastoma incidence, survival, and racial and ethnic disparities from 2001 to 2019

BACKGROUND

We characterize the incidence and 5-year survival of children and adolescents with neuroblastoma stratified by demographic and clinical factors based on the comprehensive data from United States Cancer Statistics (USCS) and the National Program of Cancer Registries (NPCR).

METHODS

We analyzed the incidence of neuroblastoma from USCS (2003-2019) and survival data from NPCR (2001-2018) for patients less than 20 years old. Incidence trends were calculated by average annual percent change (AAPC) using joinpoint regression. Differences in relative survival were estimated comparing non-overlapping confidence intervals (CI).

RESULTS

We identified 11,543 primary neuroblastoma cases in USCS. Age-adjusted incidence was 8.3 per million persons [95% CI: 8.2, 8.5], with an AAPC of 0.4% [95% CI: -0.1, 0.9]. Five-year relative survival from the NPCR dataset (n = 10,676) was 79.7% [95% CI: 78.9, 80.5]. Patients aged less than 1 year had the highest 5-year relative survival (92.5%). Five-year relative survival was higher for non-Hispanic White patients (80.7%) or Hispanic patients (80.8%) compared to non-Hispanic Black patients (72.6%).

CONCLUSION

Neuroblastoma incidence was stable during 2003-2019. Differences in relative survival exist by sex, age, race/ethnicity, and stage; patients who were male, older, non-Hispanic Black, or with distant disease had worse survival. Future studies could seek to assess the upstream factors driving disparities in survival, and evaluate interventions to address inequities and improve survival across all groups.

Using Relative Survival to Estimate the Burden of Kidney Failure

RATIONALE & OBJECTIVE

Estimates of mortality from kidney failure are misleading because the mortality from kidney failure is inseparable from the mortality attributed to comorbid conditions. We sought to develop an alternative method to reduce the bias in estimating mortality due to kidney failure using life table methods.

STUDY DESIGN

Longitudinal cohort study.

SETTING & PARTICIPANTS

Using data from the US Renal Data System and the Medicare 5% sample, we identified an incident cohort of patients, age 66+, who first had kidney failure in 2009 and a similar general population cohort without kidney failure.

EXPOSURE

Kidney failure.

OUTCOME

Death.

ANALYTICAL APPROACH

We created comorbidity, age, sex, race, and year-specific life tables to estimate relative survival of patients with incident kidney failure and to attain an estimate of excess kidney failure-related deaths. Estimates were compared with those based on standard life tables (not adjusted for comorbidity).

RESULTS

The analysis included 31,944 adults with kidney failure with a mean age of 77±7 years. The 5-year relative survival was 31% using standard life tables (adjusted for age, sex, race, and year) versus 36% using life tables also adjusted for comorbidities. Compared with other chronic diseases, patients with kidney failure have among the lowest relative survival. Patients with incident kidney failure ages 66-70 and 76-80 have a survival comparable to adults without kidney failure roughly 86-90 and 91-95 years old, respectively.

LIMITATIONS

Relative survival estimates can be improved by narrowing the specificity of the covariates collected (eg, disease severity and ethnicity).

CONCLUSIONS

Estimates of survival relative to a matched general population partition the mortality due to kidney failure from other causes of death. Results highlight the immense burden of kidney failure on mortality and the importance of disease prevention efforts among older adults.

PLAIN-LANGUAGE SUMMARY

Estimates of death due to kidney failure can be misleading because death information from kidney failure is intertwined with death due to aging and other chronic diseases. Life tables are an old method, commonly used by actuaries and demographers to describe the life expectancy of a population. We developed life tables specific to a patient's age, sex, year, race, and comorbidity. Survival is derived from the life tables as the percentage of patients who are still alive in a specified period. By comparing survival of patients with kidney failure to the survival of people from the general population, we estimate that patients with kidney failure have one-third the chance of survival in 5 years compared with people with similar demographics and comorbidity but without kidney failure. The importance of this measure is that it provides a quantifiable estimate of the immense mortality burden of kidney failure.

Problematic Integration: Racial Discordance in End-of-Life Decision Making

We describe racially discordant oncology encounters involving EOL decision-making. Fifty-eight provider interviews were content analyzed using the tenets of problematic integration theory. We found EOL discussions between non-Black providers and their Black patients were often complex and anxiety-inducing. That anxiety consisted of (1) ontological uncertainty in which providers characterized the nature of Black patients as distrustful, especially in the context of clinical trials; (2) ontological and epistemological uncertainty in which provider intercultural incompetency and perceived lack of patient health literacy were normalized and intertwined with provider assumptions about patients' religion and support systems; (3) epistemological uncertainty as ambivalence in which providers' feelings conflicted when deciding whether to speak with family members they perceived as lacking health literacy; (4) divergence in which the provider advised palliative care while the family desired surgery or cancer-directed medical treatment; and (5) impossibility when an ontological uncertainty stance of Black distrust was seen as natural by providers and therefore impossible to change. Some communication strategies used were indirect stereotyping, negotiating, asking a series of value questions, blame-guilt framing, and avoidance. We concluded that provider perceptions of Black distrust, religion, and social support influenced their ability to communicate effectively with patients.

Prediction of Risk of Metastatic Recurrence for Female Breast Cancer Patients in the Presence of Competing Causes of Death

BACKGROUND

To estimate risk of recurrence for women diagnosed with nonmetastatic breast cancer considering the risks of other causes mortality.

METHODS

We extend a method based on the diagnosis-metastasis-death pathway to include risks of other causes mortality. We estimate three probabilities as cumulative incidence of: (i) being alive and recurrence-free, (ii) death for other causes before a recurrence, and (iii) recurrence. We apply the method to female breast cancer relative survival from the Surveillance, Epidemiology, and End Results Program registries (2000-2018) data.

RESULTS

The cumulative incidence of recurrence shows a higher increase with more advanced cancer stage and is less influenced by age at diagnosis. At 5 years from diagnosis, the cumulative incidence of recurrence is less than 3% for those diagnosed with stage I, 10% to 13% for those diagnosed with stage II, and 37% to 47% for those diagnosed with stage III breast cancer. The estimates of recurrence considering versus ignoring the risks of dying from other causes were generally consistent, except for older women with more advanced stage, and longer time since diagnosis. In these groups, the net probability of recurrence, excluding the risks of dying from other causes, were overestimated.

CONCLUSIONS

For patients with cancer who are older or long-term survivors, it is important to include the risks of other cause mortality as the crude cumulative incidence of recurrence is a more appropriate measure.

IMPACT

These estimates are important in clinical decision making, as higher competing mortality may preclude the benefits of aggressive treatments.

Long-term Cancer Survival Trends by Updated Summary Stage

BACKGROUND

Stage is the most important prognostic factor for understanding cancer survival trends. Summary stage (SS) classifies cancer based on the extent of spread: In situ, Localized, Regional, or Distant. Continual updating of staging systems poses challenges to stage comparisons over time. We use a consistent summary stage classification and present survival trends for 25 cancer sites using the joinpoint survival (JPSurv) model.

METHODS

We developed a modified summary stage variable, Long-Term Site-Specific Summary Stage, based on as consistent a definition as possible and applied it to a maximum number of diagnosis years, 1975-2019. We estimated trends by stage by applying JPSurv to relative survival data for 25 cancer sites in SEER-8, 1975-2018, followed through December 31, 2019. To help interpret survival trends, we report incidence and mortality trends using the joinpoint model.

RESULTS

Five-year relative survival improved for nearly all sites and stages. Large improvements were observed for localized pancreatic cancer [4.25 percentage points annually, 2007-2012 (95% confidence interval, 3.40-5.10)], distant skin melanoma [2.15 percentage points annually, 2008-2018 (1.73-2.57)], and localized esophagus cancer [1.18 percentage points annually, 1975-2018 (1.11-1.26)].

CONCLUSIONS

This is the first analysis of survival trends by summary stage for multiple cancer sites. The largest survival increases were seen for cancers with a traditionally poor prognosis and no organized screening, which likely reflects clinical management advances.

IMPACT

Our study will be particularly useful for understanding the population-level impact of new treatments and identifying emerging trends in health disparities research.

Estimating the US Baseline Distribution of Health Inequalities Across Race, Ethnicity, and Geography for Equity-Informative Cost-Effectiveness Analysis

OBJECTIVES

Information on how life expectancy, disability-free life expectancy, and quality-adjusted life expectancy varies across equity-relevant subgroups is required to conduct distributional cost-effectiveness analysis. These summary measures are not comprehensively available in the United States, given limitations in nationally representative data across racial and ethnic groups.

METHODS

Through linkage of US national survey data sets and use of Bayesian models to address missing and suppressed mortality data, we estimate health outcomes across 5 racial and ethnic subgroups (non-Hispanic American Indian or Alaska Native, non-Hispanic Asian and Pacific Islander, non-Hispanic black, non-Hispanic white, and Hispanic). Mortality, disability, and social determinant of health data were combined to estimate sex- and age-based outcomes for equity-relevant subgroups based on race and ethnicity, as well as county-level social vulnerability.

RESULTS

Life expectancy, disability-free life expectancy, and quality-adjusted life expectancy at birth declined from 79.5, 69.4, and 64.3 years, respectively, among the 20% least socially vulnerable (best-off) counties to 76.8, 63.6, and 61.1 years, respectively, among the 20% most socially vulnerable (worst-off) counties. Considering differences across racial and ethnic subgroups, as well as geography, gaps between the best-off (Asian and Pacific Islander; 20% least socially vulnerable counties) and worst-off (American Indian/Alaska Native; 20% most socially vulnerable counties) subgroups were large (17.6 life-years, 20.9 disability-free life-years, and 18.0 quality-adjusted life-years) and increased with age.

CONCLUSIONS

Existing disparities in health across geographies and racial and ethnic subgroups may lead to distributional differences in the impact of health interventions. Data from this study support routine estimation of equity effects in healthcare decision making, including distributional cost-effectiveness analysis.

Age-related differences in cancer relative survival in the United States: A SEER-18 analysis

Cancer survival has improved since the 1990s, but to different extents across age groups, with a disadvantage for older adults. We aimed to quantify age-related differences in relative survival (RS-1-year and 1-year conditioning on surviving 1 year) for 10 common cancer types by stage at diagnosis. We used data from 18 United States Surveillance Epidemiology and End Results cancer registries and included cancers diagnosed in 2012 to 2016 followed until December 31, 2017. We estimated absolute differences in RS between the 50 to 64 age group and the 75 to 84 age group. The smallest differences were observed for prostate and breast cancers (1.8%-points [95% confidence interval (CI): 1.5-2.1] and 1.9%-points [95% CI: 1.5-2.3], respectively). The largest was for ovarian cancer (27%-points, 95% CI: 24-29). For other cancers, differences ranged between 7 (95% CI: 5-9, esophagus) and 18%-points (95% CI: 17-19, pancreas). Except for pancreatic cancer, cancer type and stage combinations with very high (>95%) or very low (<40%) 1-year RS tended to have smaller age-related differences in survival than those with mid-range prognoses. Age-related differences in 1-year survival conditioning on having survived 1-year were small for most cancer and stage combinations. The broad variation in survival differences by age across cancer types and stages, especially in the first year, age-related differences in survival are likely influenced by amenability to treatment. Future work to measure the extent of age-related differences that are avoidable, and identify how to narrow the survival gap, may have most benefit by prioritizing cancers with relatively large age-related differences in survival (eg, stomach, esophagus, liver and pancreas).

Age-related differences in colon and rectal cancer survival by stage, histology, and tumour site: An analysis of United States SEER-18 data

Age-related differences in colon and rectal cancer survival have been observed, even after accounting for differences in background mortality. To determine how stage, tumour site, and histology contribute to these differences, we extracted age-specific one-year relative survival ratio (RS) stratified by these factors. We used colon and rectal cancer cases diagnosed between 2012 and 2016 from 18 United States Surveillance Epidemiology and End Results cancer registries. For colon cancer, 1-year RS ranged from 87.8 % [95 % Confidence Interval: 87.5-88.2] in the 50-64-year-olds to 62.3 % [61.3-63.3] in 85-99-year-olds and for rectal cancer ranged from 92.3 % [91.8-92.7] to 65.0 % [62.3-67.5]. With respect to stage, absolute differences in RS between 50-64-year-olds and 75-84-year-olds increased with increasing stage (from 6 [5-7] %-points in localised disease to 27 [25-29] %-points in distant disease) and were the highest for cancers of unknown stage (> 28 %-points). Age-related differences in survival were smallest for persons with tumours in the right-sided colon (8 [7-9] %-points) and largest for tumours of the colon without tumour site further specified (25 [21-29] %-points). With respect to histology, differences ranged from 7.4 % to 10.6 %-points for cancers with one of the three primary histologies (adenocarcinoma, mucinous adenocarcinoma, signet ring cell carcinoma) and were several-fold higher (42 %-points) for those with unknown/other histology (< 6 % of cases). Because age-related differences in survival were observed for all histologies and tumour sites, RS differences are unlikely to be driven by differences in the distribution of these factors by age. Differences in stage distribution by age are likely to contribute toward age-related differences in survival. Within stage groups, age differences in survival could be explained by frailty and/or therapy. Future studies incorporating data on treatment and geriatric conditions including frailty and comorbidity would support further understanding of the age gap in colon and rectal cancer survival.

Prediction of death rates for cardiovascular diseases and cancers

Background

To estimate cardiovascular and cancer death rates by regions and time periods.

Design

Novel statistical methods were used to analyze clinical surveillance data.

Methods

A multicenter, population-based medical survey was performed. Annual recorded deaths from cardiovascular diseases were analyzed for all 195 countries of the world. It is challenging to model such data; few mathematical models can be applied because cardiovascular disease and cancer data are generally not normally distributed.

Results

A novel approach to assessing the biosystem reliability is introduced and has been found to be particularly suitable for analyzing multiregion environmental and healthcare systems. While traditional methods for analyzing temporal observations of multiregion processes do not deal with dimensionality efficiently, our methodology has been shown to be able to cope with this challenge.

Conclusions

Our novel methodology can be applied to public health and clinical survey data.

Choice of Survival Metric and Its Impacts on Cancer Survival Estimates for American Indian and Alaska Native People

BACKGROUND

Different survival metrics have different applicability to clinical practice and research. We evaluated how choice of survival metric influences assessment of cancer survival among American Indian and Alaska Native (AIAN) people relative to non-Hispanic Whites (NHW). A secondary objective was to present variations in survival among AIAN people by age, sex, stage, and Indian Health Service (IHS) region.

METHODS

Five-year survival was calculated using the North American Association of Central Cancer Registries Cancer in North America dataset. We calculated survival among AIAN people, compared with NHW using four approaches: (i) observed (crude) survival, (ii) cause-specific survival, (iii) relative survival using age- and sex-adjusted lifetables, and (iv) relative survival using lifetables additionally adjusted for race, geography, and socioeconomic status. For AIAN people, we evaluated how survival varied by age, stage at diagnosis, and IHS region.

RESULTS

Observed survival methods produced the lowest estimates, and-excepting prostate cancer-cause-specific methods produced the highest survival estimates. Survival was lower among AIAN people than NHW for all methods. Among AIAN people, survival was higher among those 20-64 years, females, and tumors diagnosed at local stage. Survival varied by IHS region and cancer sites.

CONCLUSIONS

These results support the assertion that using the same methodology to compare survival estimates between racial and ethnic groups is of paramount importance, but that the choice of metric requires careful consideration of study objectives.

IMPACT

These findings have the potential to impact choice of survival metric to explore disparities among AIAN people.

Cancer statistics for American Indian and Alaska Native individuals, 2022: Including increasing disparities in early onset colorectal cancer

American Indian and Alaska Native (AIAN) individuals are diverse culturally and geographically but share a high prevalence of chronic illness, largely because of obstacles to high-quality health care. The authors comprehensively examined cancer incidence and mortality among non-Hispanic AIAN individuals, compared with non-Hispanic White individuals for context, using population-based data from the National Cancer Institute, the Centers for Disease Control and Prevention, and the North American Association of Central Cancer Registries. Overall cancer rates among AIAN individuals were 2% higher than among White individuals for incidence (2014 through 2018, confined to Purchased/Referred Care Delivery Area counties to reduce racial misclassification) but 18% higher for mortality (2015 through 2019). However, disparities varied widely by cancer type and geographic region. For example, breast and prostate cancer mortality rates are 8% and 31% higher, respectively, in AIAN individuals than in White individuals despite lower incidence and the availability of early detection tests for these cancers. The burden among AIAN individuals is highest for infection-related cancers (liver, stomach, and cervix), for kidney cancer, and for colorectal cancer among indigenous Alaskans (91.3 vs. 35.5 cases per 100,000 for White Alaskans), who have the highest rates in the world. Steep increases for early onset colorectal cancer, from 18.8 cases per 100,000 Native Alaskans aged 20-49 years during 1998 through 2002 to 34.8 cases per 100,000 during 2014 through 2018, exacerbated this disparity. Death rates for infection-related cancers (liver, stomach, and cervix), as well as kidney cancer, were approximately two-fold higher among AIAN individuals compared with White individuals. These findings highlight the need for more effective strategies to reduce the prevalence of chronic oncogenic infections and improve access to high-quality cancer screening and treatment for AIAN individuals. Mitigating the disparate burden will require expanded financial support of tribal health care as well as increased collaboration and engagement with this marginalized population.

Racial and Ethnic Disparities in Cervical Cancer Incidence, Survival, and Mortality by Histologic Subtype

PURPOSE

We conducted an integrated population-based analysis of histologic subtype-specific cervical cancer incidence, survival, and incidence-based mortality by race and ethnicity, with correction for hysterectomy prevalence.

METHODS

Using the SEER 21 and 18 registries, we selected primary cases of malignant cervical cancer diagnosed among women ≥ 15 years. We evaluated age-adjusted incidence rates among cases diagnosed between 2000 and 2018 (SEER21) and incidence-based mortality rates among deaths from 2005 to 2018 (SEER18), per 100,000 person-years. Rates were stratified by histologic subtype and race/ethnicity (incidence and mortality), and stage, age at diagnosis, and county-level measures of social determinants of health (incidence only). Incidence and mortality rates were corrected for hysterectomy using data from the Behavioral Risk Factor Surveillance System. We estimated 5-year relative survival by histologic subtype and stratified by stage at diagnosis.

RESULTS

Incidence rates of cervical squamous cell carcinoma were highest in Black and Hispanic women, while incidence rates of cervical adenocarcinoma (ADC) were highest among Hispanic and White women, particularly for localized ADC. County-level income and education variables were inversely associated with squamous cell carcinoma incidence rates in all racial and ethnic groups but had less influence on ADC incidence rates. Black women had the highest overall mortality rates and lowest 5-year relative survival, irrespective of subtype and stage. Disparities in survival were particularly pronounced for Black women with regional and distant ADC, compared with other racial/ethnic groups.

CONCLUSION

Although Black women are less likely to be diagnosed with ADC compared with all other racial/ethnic groups, they experience the highest mortality rates for this subtype, likely attributed to the poor survival observed for Black women with regional and distant ADC.

The Impact of Funding Inpatient Treatments for COVID-19 on Health Equity in the United States: A Distributional Cost-Effectiveness Analysis

OBJECTIVES

We conducted a distributional cost-effectiveness analysis (DCEA) to evaluate how Medicare funding of inpatient COVID-19 treatments affected health equity in the United States.

METHODS

A DCEA, based on an existing cost-effectiveness analysis model, was conducted from the perspective of a single US payer, Medicare. The US population was divided based on race and ethnicity (Hispanic, non-Hispanic black, and non-Hispanic white) and county-level social vulnerability index (5 quintile groups) into 15 equity-relevant subgroups. The baseline distribution of quality-adjusted life expectancy was estimated across the equity subgroups. Opportunity costs were estimated by converting total spend on COVID-19 inpatient treatments into health losses, expressed as quality-adjusted life-years (QALYs), using base-case assumptions of an opportunity cost threshold of $150 000 per QALY gained and an equal distribution of opportunity costs across equity-relevant subgroups.

RESULTS

More socially vulnerable populations received larger per capita health benefits due to higher COVID-19 incidence and baseline in-hospital mortality. The total direct medical cost of inpatient COVID-19 interventions in the United States in 2020 was estimated at $25.83 billion with an estimated net benefit of 735 569 QALYs after adjusting for opportunity costs. Funding inpatient COVID-19 treatment reduced the population-level burden of health inequality by 0.234%. Conclusions remained robust across scenario and sensitivity analyses.

CONCLUSIONS

To the best of our knowledge, this is the first DCEA to quantify the equity implications of funding COVID-19 treatments in the United States. Medicare funding of COVID-19 treatments in the United States could improve overall health while reducing existing health inequalities.

Racial and Ethnic Disparities in Early-Onset Colorectal Cancer Survival

BACKGROUND

Young adults diagnosed with colorectal cancer (CRC) comprise a growing, yet understudied, patient population. We estimated 5-year relative survival of early-onset CRC and examined disparities in survival by race-ethnicity in a population-based sample.

METHODS

We used the National Cancer Institute's Surveillance, Epidemiology, and End Results program of cancer registries to identify patients diagnosed with early-onset CRC (20-49 years of age) between January 1, 1992, and December 31, 2013. For each racial-ethnic group, we estimated 5-year relative survival, overall and by sex, tumor site, and stage at diagnosis. To illustrate temporal trends, we compared 5-year relative survival in 1992-2002 vs 2003-2013. We also used Cox proportional hazards regression models to examine the association of race-ethnicity and all-cause mortality, adjusting for age at diagnosis, sex, county type (urban vs rural), county-level median household income, tumor site, and stage at diagnosis.

RESULTS

We identified 33,777 patients diagnosed with early-onset CRC (58.5% White, 14.0% Black, 13.0% Asian, 14.5% Hispanic). Five-year relative survival ranged from 57.6% (Black patients) to 69.1% (White patients). Relative survival improved from 1992-2002 to 2003-2013 for White patients only; there was no improvement for Black, Asian, or Hispanic patients. This pattern was similar by sex, tumor site, and stage at diagnosis. In adjusted analysis, Black (adjusted hazard ratio [aHR], 1.42; 95% confidence interval [CI], 1.36-1.49), Asian (aHR, 1.06; 95% CI, 1.01-1.12), and Hispanic (aHR, 1.16; 95% CI, 1.10-1.21) race-ethnicity were associated with all-cause mortality.

CONCLUSION

Our study adds to the well-documented disparities in CRC in older adults by demonstrating persistent racial-ethnic disparities in relative survival and all-cause mortality in patients with early-onset CRC.

Future world cancer death rate prediction

Cancer is a worldwide illness that causes significant morbidity and death and imposes an immense cost on global public health. Modelling such a phenomenon is complex because of the non-stationarity and complexity of cancer waves. Apply modern novel statistical methods directly to raw clinical data. To estimate extreme cancer death rate likelihood at any period in any location of interest. Traditional statistical methodologies that deal with temporal observations of multi-regional processes cannot adequately deal with substantial regional dimensionality and cross-correlation of various regional variables. Setting: multicenter, population-based, medical survey data-based biostatistical approach. Due to the non-stationarity and complicated nature of cancer, it is challenging to model such a phenomenon. This paper offers a unique bio-system dependability technique suited for multi-regional environmental and health systems. When monitored over a significant period, it yields a reliable long-term projection of the chance of an exceptional cancer mortality rate. Traditional statistical approaches dealing with temporal observations of multi-regional processes cannot effectively deal with large regional dimensionality and cross-correlation between multiple regional data. The provided approach may be employed in numerous public health applications, depending on their clinical survey data.

Cancer statistics, 2023

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes using incidence data collected by central cancer registries and mortality data collected by the National Center for Health Statistics. In 2023, 1,958,310 new cancer cases and 609,820 cancer deaths are projected to occur in the United States. Cancer incidence increased for prostate cancer by 3% annually from 2014 through 2019 after two decades of decline, translating to an additional 99,000 new cases; otherwise, however, incidence trends were more favorable in men compared to women. For example, lung cancer in women decreased at one half the pace of men (1.1% vs. 2.6% annually) from 2015 through 2019, and breast and uterine corpus cancers continued to increase, as did liver cancer and melanoma, both of which stabilized in men aged 50 years and older and declined in younger men. However, a 65% drop in cervical cancer incidence during 2012 through 2019 among women in their early 20s, the first cohort to receive the human papillomavirus vaccine, foreshadows steep reductions in the burden of human papillomavirus-associated cancers, the majority of which occur in women. Despite the pandemic, and in contrast with other leading causes of death, the cancer death rate continued to decline from 2019 to 2020 (by 1.5%), contributing to a 33% overall reduction since 1991 and an estimated 3.8 million deaths averted. This progress increasingly reflects advances in treatment, which are particularly evident in the rapid declines in mortality (approximately 2% annually during 2016 through 2020) for leukemia, melanoma, and kidney cancer, despite stable/increasing incidence, and accelerated declines for lung cancer. In summary, although cancer mortality rates continue to decline, future progress may be attenuated by rising incidence for breast, prostate, and uterine corpus cancers, which also happen to have the largest racial disparities in mortality.

Pancreatic cancer survival trends in the US from 2001 to 2014: a CONCORD-3 study

BACKGROUND

Survival from pancreatic cancer is low worldwide. In the US, the 5-year relative survival has been slightly higher for women, whites and younger patients than for their counterparts, and differences in age and stage at diagnosis [Corrections added Nov 16, 2022, after first online publication: a new affiliation is added to Maja Nikšić] may contribute to this pattern. We aimed to examine trends in survival by race, stage, age and sex for adults (15-99 years) diagnosed with pancreatic cancer in the US.

METHODS

This population-based study included 399,427 adults registered with pancreatic cancer in 41 US state cancer registries during 2001-2014, with follow-up to December 31, 2014. We estimated age-specific and age-standardized net survival at 1 and 5 years.

RESULTS

Overall, 12.3% of patients were blacks, and 84.2% were whites. About 9.5% of patients were diagnosed with localized disease, but 50.5% were diagnosed at an advanced stage; slightly more among blacks, mainly among men. No substantial changes were seen over time (2001-2003, 2004-2008, 2009-2014). In general, 1-year net survival was higher in whites than in blacks (26.1% vs. 22.1% during 2001-2003, 35.1% vs. 31.4% during 2009-2014). This difference was particularly evident among patients with localized disease (49.6% in whites vs. 44.6% in blacks during 2001-2003, 60.1% vs. 55.3% during 2009-2014). The survival gap between blacks and whites with localized disease was persistent at 5 years after diagnosis, and it widened over time (from 24.0% vs. 21.3% during 2001-2003 to 39.7% vs. 31.0% during 2009-2014). The survival gap was wider among men than among women.

CONCLUSIONS

Gaps in 1- and 5-year survival between blacks and whites were persistent throughout 2001-2014, especially for patients diagnosed with a localized tumor, for which surgery is currently the only treatment modality with the potential for cure.

Higher ATM expression in lymphoblastoid cell lines from centenarian compared with younger women

With increased life expectancies in developed countries, cancer rates are becoming more common among the elderly. Cancer is typically driven by a combination of germline and somatic mutations accumulating during an individual's lifetime. Yet, many centenarians reach exceptionally old age without experiencing cancer. It was suggested that centenarians have more robust DNA repair and mitochondrial function, allowing improved maintenance of DNA stability. In this study, we applied real-time quantitative PCR to examine the expression of ATM in lymphoblastoid cell lines (LCLs) from 15 healthy female centenarians and 24 younger female donors aged 21-88 years. We observed higher ATM mRNA expression of in LCLs from female centenarians compared with both women aged 21-48 years (FD = 2.0, p = .0016) and women aged 56-88 years (FD = 1.8, p = .0094. Positive correlation was found between ATM mRNA expression and donors age (p = .0028). Levels of hsa-miR-181a-5p, which targets ATM, were lower in LCLs from centenarians compared with younger women. Our findings suggest a role for ATM in protection from age-related diseases, possibly reflecting more effective DNA repair, thereby reducing somatic mutation accumulation during aging. Further studies are required for analyzing additional DNA repair pathways in biosamples from centenarians and younger age men and women.

Quantifying Differences in Remaining Life Expectancy after Cancer Diagnosis, Aboriginal and Torres Strait Islanders, and Other Australians, 2005-2016

BACKGROUND

This study quantified differences in remaining life expectancy (RLE) among Aboriginal and Torres Strait Islander and other Australian patients with cancer. We assessed how much of this disparity was due to differences in cancer and noncancer mortality and calculated the population gain in life years for Aboriginal and Torres Strait Islanders cancer diagnoses if the cancer survival disparities were removed.

METHODS

Flexible parametric relative survival models were used to estimate RLE by Aboriginal and Torres Strait Islander status for a population-based cohort of 709,239 persons (12,830 Aboriginal and Torres Strait Islanders), 2005 to 2016.

RESULTS

For all cancers combined, the average disparity in RLE was 8.0 years between Aboriginal and Torres Strait Islanders (12.0 years) and other Australians (20.0 years). The magnitude of this disparity varied by cancer type, being >10 years for cervical cancer versus <2 years for lung and pancreatic cancers. For all cancers combined, around 26% of this disparity was due to differences in cancer mortality and 74% due to noncancer mortality. Among 1,342 Aboriginal and Torres Strait Islanders diagnosed with cancer in 2015 an estimated 2,818 life years would be gained if cancer survival disparities were removed.

CONCLUSIONS

A cancer diagnosis exacerbates the existing disparities in RLE among Aboriginal and Torres Strait Islanders. Addressing them will require consideration of both cancer-related factors and those contributing to noncancer mortality.

IMPACT

Reported survival-based measures provided additional insights into the overall impact of cancer over a lifetime horizon among Aboriginal and Torres Strait Islander peoples.

Life expectancy and cancer survival in Oncosalud: outcomes over a 15-year period in a Peruvian private institution

Background

There is a large gap in the data on cancer outcomes in Latin America, making it difficult to establish adequate cancer control policies in the region. The aim of our study was to describe the survival, life expectancy estimates and life expectancy changes over time for a large cohort of Peruvian patients insured with Oncosalud, a private healthcare system.

Patients and methods

We evaluated a retrospective cohort of patients diagnosed between 2000 and 2015 in Oncosalud (Lima-Peru). Cases included colon, rectum, stomach, bladder, breast, prostate and non-melanoma skin cancers. Survival was evaluated with the Kaplan–Meier methodology. The standard period life table was used to estimate the excess mortality risks of patients in our cohort compared to the population covered by the Peruvian Superintendence of Banks, Insurance Companies and Pension Funds (SBS). The years of life lost was estimated based on SBS population, matching patients by age and sex.

Results

A large cohort of 7,687 Peruvian cancer patients managed in a 15-year period was eligible. If patients survive 5 years after a cancer diagnosis, life expectancy tends to be close to that of a population without cancer. The number of years of life lost at diagnosis was higher at the youngest ages, steadily decreasing thereafter. During the first years after cancer diagnosis, young patients face a much higher loss in life expectancy than older ones. Patients suffering from colon, rectum, stomach and bladder cancer are the most affected by the years of life lost.

Conclusion

In cancer patients surviving ≥ 5 years, life expectancy becomes similar to that observed in a population with similar socioeconomic characteristics. The estimated survival rate in our cohort is higher than that reported by public cancer registries in Peru. This could be explained by the different socio-economic background and access to specialised cancer care.

The Kaiser Permanente Research Bank Cancer Cohort: a collaborative resource to improve cancer care and survivorship

Background

The Kaiser Permanente Research Bank (KPRB) is collecting biospecimens and surveys linked to electronic health records (EHR) from approximately 400,000 adult KP members. Within the KPRB, we developed a Cancer Cohort to address issues related to cancer survival, and to understand how genetic, lifestyle and environmental factors impact cancer treatment, treatment sequelae, and prognosis. We describe the Cancer Cohort design and implementation, describe cohort characteristics after 5 years of enrollment, and discuss future directions.

Methods

Cancer cases are identified using rapid case ascertainment algorithms, linkage to regional or central tumor registries, and direct outreach to KP members with a history of cancer. Enrollment is primarily through email invitation. Participants complete a consent form, survey, and donate a blood or saliva sample. All cancer types are included.

Results

As of December 31, 2020, the cohort included 65,225 cases (56% female, 44% male) verified in tumor registries. The largest group was diagnosed between 60 and 69 years of age (31%) and are non-Hispanic White (83%); however, 10,076 (16%) were diagnosed at ages 18–49 years, 4208 (7%) are Hispanic, 3393 (5%) are Asian, and 2389 (4%) are Black. The median survival time is 14 years. Biospecimens are available on 98% of the cohort.

Conclusions

The KPRB Cancer Cohort is designed to improve our understanding of treatment efficacy and factors that contribute to long-term cancer survival. The cohort’s diversity - with respect to age, race/ethnicity and geographic location - will facilitate research on factors that contribute to cancer survival disparities.

Impact of including second and later cancers in cause-specific survival estimates using population-based registry data

BACKGROUND

Second or later primary cancers account for approximately 20% of incident cases in the United States. Currently, cause-specific survival (CSS) analyses exclude these cancers because the cause of death (COD) classification algorithm was available only for first cancers. The authors added rules for later cancers to the Surveillance, Epidemiology, and End Results cause-specific death classification algorithm and evaluated CSS to include individuals with prior tumors.

METHODS

The authors constructed 2 cohorts: 1) the first ever primary cohort, including patients whose first cancer was diagnosed during 2000 through 2016) and 2) the earliest matching primary cohort, including patients with any cancer who matched the selection criteria irrespective of whether it was the first or a later cancer diagnosed during 2000 through 2016. The cohorts' CSS estimates were compared using follow-up through December 31, 2017. The new rules were used in the second cohort for patients whose first cancers during 2000 through 2016 were their second or later cancers.

RESULTS

Overall, there were no statistically significant differences in CSS estimates between the 2 cohorts. Estimates were similar by age, stage, race, and time since diagnosis, except for patients with leukemia and those aged 65 to 74 years (3.4 percentage point absolute difference).

CONCLUSIONS

The absolute difference in CSS estimates for the first cancer ever cohort versus earliest of any cancers cohort in the study period was small for most cancer types. As the number of newly diagnosed patients with prior cancers increases, the algorithm will make CSS more inclusive and enable estimating survival for a group of patients with cancer for whom life tables are not available or life tables are available but do not capture other-cause mortality appropriately.

Cancer statistics, 2022

Each year, the American Cancer Society estimates the numbers of new cancer cases and deaths in the United States and compiles the most recent data on population-based cancer occurrence and outcomes. Incidence data (through 2018) were collected by the Surveillance, Epidemiology, and End Results program; the National Program of Cancer Registries; and the North American Association of Central Cancer Registries. Mortality data (through 2019) were collected by the National Center for Health Statistics. In 2022, 1,918,030 new cancer cases and 609,360 cancer deaths are projected to occur in the United States, including approximately 350 deaths per day from lung cancer, the leading cause of cancer death. Incidence during 2014 through 2018 continued a slow increase for female breast cancer (by 0.5% annually) and remained stable for prostate cancer, despite a 4% to 6% annual increase for advanced disease since 2011. Consequently, the proportion of prostate cancer diagnosed at a distant stage increased from 3.9% to 8.2% over the past decade. In contrast, lung cancer incidence continued to decline steeply for advanced disease while rates for localized-stage increased suddenly by 4.5% annually, contributing to gains both in the proportion of localized-stage diagnoses (from 17% in 2004 to 28% in 2018) and 3-year relative survival (from 21% to 31%). Mortality patterns reflect incidence trends, with declines accelerating for lung cancer, slowing for breast cancer, and stabilizing for prostate cancer. In summary, progress has stagnated for breast and prostate cancers but strengthened for lung cancer, coinciding with changes in medical practice related to cancer screening and/or treatment. More targeted cancer control interventions and investment in improved early detection and treatment would facilitate reductions in cancer mortality.

Limited English Proficiency and Disparities in Health Care Engagement Among Patients With Breast Cancer

PURPOSE

Race and ethnicity have been shown to affect quality of cancer care, and patients with low English proficiency (LEP) have increased risk for serious adverse events. We sought to assess the impact of primary language on health care engagement as indicated by clinical trial screening and engagement, use of genetic counseling, and communication via an electronic patient portal.

METHODS

Clinical and demographic data on patients with breast cancer diagnosed and treated from 2013 to 2018 within the Stanford University Health Care system were compiled via linkage of electronic health records, an internal clinical trial database, and the California Cancer Registry. Logistic and linear regression models were used to evaluate for association of clinical trial engagement and patient portal message rates with primary language group.

RESULTS

Patients with LEP had significantly lower rates of clinical trial engagement compared with their English-speaking counterparts (adjusted odds ratio [OR], 0.29; 95% CI, 0.16 to 0.51). Use of genetic counseling was similar between language groups. Rates of patient portal messaging did not differ between English-speaking and LEP groups on multivariable analysis; however, patients with LEP were less likely to have a portal account (adjusted OR, 0.89; 95% CI, 0.83 to 0.96). Among LEP subgroups, Spanish speakers were significantly less likely to engage with the patient portal compared with English speakers (estimated difference in monthly rate: OR, 0.43; 95% CI, 0.24 to 0.77).

CONCLUSION

We found that patients with LEP had lower rates of clinical trial engagement and odds of electronic patient portal enrollment. Interventions designed to overcome language and cultural barriers are essential to optimize the experience of patients with LEP.

Parent and Clinician Perspectives on Challenging Parent-Clinician Relationships in Pediatric Oncology

IMPORTANCE

Parents of children with cancer value strong therapeutic relationships with oncology clinicians, but not every relationship is positive.

OBJECTIVE

To identify the prevalence of challenging parent-clinician relationships in pediatric oncology and factors associated with these challenges from parent and clinician perspectives.

DESIGN, SETTING, AND PARTICIPANTS

This survey was conducted among parents and oncology clinicians of children with cancer within 3 months of diagnosis from November 2015 to July 2019 at Dana-Farber Cancer Institute/Boston Children's Hospital and Texas Children's Hospital. Participants were 400 parents of children with cancer and 80 clinicians (ie, oncology physicians and nurse practitioners). Parents completed surveys about relationships with 1 to 2 primary oncology clinicians; clinicians completed surveys about relationships with parents. Data were analyzed from July 2020 to August 2021.

EXPOSURES

At least 3 previous clinical visits between parent and clinician.

MAIN OUTCOMES AND MEASURES

The Relationship Challenges Scale Parent Version and Clinician Version were developed and used to measure threats to the therapeutic alliance. For the Relationship Challenges Scale-Parent version, relationships were considered challenging if a parent responded to any single question in the 2 lowest of 4 possible categories. For the Relationship Challenges Scale-Clinician version, challenges were considered to be present if a clinician reported responses in the 3 lowest of 6 possible response categories to any question.

RESULTS

Among 400 parents, there were 298 [74.5%] women, 25 Asian individuals (6.3%), 28 Black individuals (7.0%), 97 Hispanic individuals (24.3%), 223 White individuals (55.8%), and 10 individuals (2.4%) with other race or ethnicity; race and ethnicity data were missing for 17 (4.3%) individuals. Among 80 clinicians, there were 57 (71.3%) women, 38 attending physicians (47.5%), 32 fellows (40.0%), and 10 nurse practitioners (12.5%). Parents identified 676 unique relationships with clinicians, and clinician reports were available for 338 relationships. Among 338 relationships with paired parent and clinician surveys, 81 relationships (24.0%) were considered challenging by parents, 127 relationships (37.6%) were considered challenging by clinicians, and 33 relationships (9.8%) were considered challenging by parent and clinician. Parents with Asian or other race or ethnicity (odds ratio [OR] vs White parents, 3.62; 95% CI, 1.59-8.26) or who had lower educational attainment (OR for ≤high school vs >high school, 3.03; 95% CI, 1.56-5.90) were more likely to experience relationships as challenging. Clinicians used a variety of strategies more frequently in 127 relationships in which they perceived challenges vs 211 relationships in which they did not perceive challenges, such as holding regular family meetings (22 relationships [17.3%] vs 13 relationships [6.2%]; P = .009) and offering extra time and attention (66 relationships [52%] vs 60 relationships [28.4%]; P < .001). However, these strategies were not used with increased frequency when parents experienced relationships as challenging vs when parents did not experience this.

CONCLUSIONS AND RELEVANCE

This survey study found that nearly one-quarter of parents of children with cancer reported challenges in the therapeutic relationship with their oncologist and that clinicians used strategies to improve relationships more frequently when they experienced the relationship as challenging. These findings suggest that new strategies are needed to improve experiences for parents and to help clinicians recognize and attend to parents whose experiences are suboptimal.

Cancer statistics for the US Hispanic/Latino population, 2021

The Hispanic/Latino population is the second largest racial/ethnic group in the continental United States and Hawaii, accounting for 18% (60.6 million) of the total population. An additional 3 million Hispanic Americans live in Puerto Rico. Every 3 years, the American Cancer Society reports on cancer occurrence, risk factors, and screening for Hispanic individuals in the United States using the most recent population-based data. An estimated 176,600 new cancer cases and 46,500 cancer deaths will occur among Hispanic individuals in the continental United States and Hawaii in 2021. Compared to non-Hispanic Whites (NHWs), Hispanic men and women had 25%-30% lower incidence (2014-2018) and mortality (2015-2019) rates for all cancers combined and lower rates for the most common cancers, although this gap is diminishing. For example, the colorectal cancer (CRC) incidence rate ratio for Hispanic compared with NHW individuals narrowed from 0.75 (95% CI, 0.73-0.78) in 1995 to 0.91 (95% CI, 0.89-0.93) in 2018, reflecting delayed declines in CRC rates among Hispanic individuals in part because of slower uptake of screening. In contrast, Hispanic individuals have higher rates of infection-related cancers, including approximately two-fold higher incidence of liver and stomach cancer. Cervical cancer incidence is 32% higher among Hispanic women in the continental US and Hawaii and 78% higher among women in Puerto Rico compared to NHW women, yet is largely preventable through screening. Less access to care may be similarly reflected in the low prevalence of localized-stage breast cancer among Hispanic women, 59% versus 67% among NHW women. Evidence-based strategies for decreasing the cancer burden among the Hispanic population include the use of culturally appropriate lay health advisors and patient navigators and targeted, community-based intervention programs to facilitate access to screening and promote healthy behaviors. In addition, the impact of the COVID-19 pandemic on cancer trends and disparities in the Hispanic population should be closely monitored.

Disparities in Cancer Survival Among Adolescents and Young Adults: A Population-Based Study of 88 000 Patients

BACKGROUND

Adolescents and young adults (AYA, aged 15-39 years) diagnosed with cancer comprise a growing, yet understudied, population. Few studies have examined disparities in cancer survival in underserved and diverse populations of AYA.

METHODS

Using population-based data from the Texas Cancer Registry, we estimated 5-year relative survival of common AYA cancers and examined disparities in survival by race and ethnicity, neighborhood poverty, urban or rural residence, and insurance type. We also used multivariable Cox proportional hazards regression models to examine associations of race or ethnicity, neighborhood poverty, urban or rural residence, and insurance type with all-cause mortality.

RESULTS

We identified 55 316 women and 32 740 men diagnosed with invasive cancer at age 15-39 years between January 1, 1995, and December 31, 2016. There were disparities in relative survival by race and ethnicity, poverty, and insurance for many cancer types. Racial and ethnic disparities in survival for men with non-Hodgkin lymphoma (74.5% [95% confidence interval (CI) = 72.1% to 76.7%] White vs 57.0% [95% CI = 51.9% to 61.8%] Black) and acute lymphocytic leukemia (66.5% [95% CI = 61.4% to 71.0%] White vs 44.4% [95% CI = 39.9% to 48.8%] Hispanic) were striking, and disparities remained even for cancers with excellent prognosis, such as testicular cancer (96.6% [95% CI = 95.9% to 97.2%] White vs 88.7% [95% CI = 82.4% to 92.8%] Black). In adjusted analysis, being Black or Hispanic, living in high-poverty neighborhoods, and having Medicaid, other government insurance, or no insurance at diagnosis were associated with all-cause mortality in both women and men (all 2-sided P < .01).

CONCLUSIONS

Our study adds urgency to well-documented disparities in cancer survival in older adults by demonstrating persistent differences in relative survival and all-cause mortality in AYAs. Findings point to several areas of future research to address disparities in this unique population of cancer patients.

Black Lives Matter Principles as an Africentric Approach to Improving Black American Health

Although public health has made substantial advances in closing the health disparity gap, Black Americans still experience inequalities and inequities. Several theoretical frameworks have been used to develop public health interventions for Black American health; yet the existing paradigms do not fully account for the ontology, epistemology, or axiology of Black American populations. The Black Lives Matter (BLM) movement provides a basis for understanding the constructs that may contribute to Black American health. By drawing from the 13 BLM principles, this paper presents an alternative approach for developing, implementing, and evaluating public health interventions for Black populations in the USA. Furthermore, the approach may inform future public health research and policies to reduce health disparities within and across Black populations in the USA.

Racial/ethnic, socioeconomic, and geographic survival disparities in adolescents and young adults with primary central nervous system tumors

BACKGROUND

Disparities in survival by race/ethnicity, socioeconomic status (SES), and geography in adolescent and young adult (AYA) patients with central nervous system (CNS) tumors have not been well studied.

PROCEDURE

A retrospective cohort study utilizing the Surveillance, Epidemiology, and End Results (SEER) database was conducted for AYA patients diagnosed with primary CNS tumors. Adjusted hazard ratios (aHR) were calculated using a multivariate Cox proportional hazard model to evaluate the association between race/ethnicity, SES, rurality, and hazard of death.

RESULTS

All minority groups showed an increased hazard of death with greatest disparities in the high-grade glioma cohort. Lower SES was associated with an increased hazard of death in non-Hispanic White (NHW) patients (aHR 1.12; 95% confidence interval [CI] 1.01-1.24), non-Hispanic Black (NHB) patients (aHR 1.34; 95% CI 1.00-1.80), and patients aged 25-29 years (aHR 1.29; 95% CI 1.07-1.55). Mediation analysis showed an indirect effect of SES on the effect of race/ethnicity on the hazard of death only among NHB patients, with SES accounting for 33.7% of the association between NHB and hazard of death. Rurality was associated with an increased hazard of death for patients in the lowest SES tertile (aHR 1.31; 95% CI 1.08-1.59) and NHW patients (aHR 1.20; 95% CI 1.08-1.34).

CONCLUSIONS

Patients identified as a racial/ethnic minority, patients with a lower SES, and patients residing in rural areas had an increased hazard of death. Further studies are needed to understand and address the biological, psychosocial, societal, and economic factors that impact AYA neuro-oncology patients at highest risk of experiencing poorer outcomes.

Precarious Essential Work, Immigrant Dairy Farmworkers, and Occupational Health Experiences in Vermont

Migrant dairy workers in Vermont face a wide range of occupational and health hazards at work. This research examines the environmental risks, occupational health hazards, and health outcomes experienced by migrant dairy farm workers in Vermont. This research draws on a triangulation of sources including analysis of data—surveys and interviews with migrant dairy farmworkers gathered by the organization Migrant Justice since 2015 as well as relevant key informant interviews with community organizations across the state to characterize the occupational health experiences of migrant dairy workers in Vermont. Our results show that Vermont migrant dairy farmworkers received poor health and safety training and lacked sufficient protective gear. Over three quarters of the respondents reported experiencing harm from chemical and biological risks. Close to half the survey respondents reported headaches, itchy eyes and cough; a quarter reported breathing difficulties; three fourths reported being hurt by animal-related risks. These exposures and existing health concerns are avoidable. Migrant workers require better social representation and advocates to negotiate better work-related protection and training, access to health services, and social welfare to ensure their health and safety.

Trends in short-term survival from distant-stage cutaneous melanoma in the United States, 2001-2013 (CONCORD-3)

Background

Survival from metastatic cutaneous melanoma is substantially lower than for localized disease. Treatments for metastatic melanoma have been limited, but remarkable clinical improvements have been reported in clinical trials in the last decade. We described the characteristics of US patients diagnosed with cutaneous melanoma during 2001-2013 and assessed trends in short-term survival for distant-stage disease.

Methods

Trends in 1-year net survival were estimated using the Pohar Perme estimator, controlling for background mortality with life tables of all-cause mortality rates by county of residence, single year of age, sex, and race for each year 2001-2013. We fitted a flexible parametric survival model on the log-hazard scale to estimate the effect of race on the hazard of death because of melanoma and estimated 1-year net survival by race.

Results

Only 4.4% of the 425 915 melanomas were diagnosed at a distant stage, cases diagnosed at a distant stage are more commonly men, older patients, and African Americans. Age-standardized, 1-year net survival for distant-stage disease was stable at approximately 43% during 2001-2010. From 2010 onward, survival improved rapidly, reaching 58.9% (95% confidence interval = 56.6% to 61.2%) for patients diagnosed in 2013. Younger patients experienced the largest improvement. Survival for distant-stage disease increased in both Blacks and Whites but was consistently lower in Blacks.

Conclusions

One-year survival for distant-stage melanoma improved during 2001-2013, particularly in younger patients and those diagnosed since 2010. This improvement may be a consequence of the introduction of immune-checkpoint-inhibitors and other targeted treatments for metastatic and unresectable disease. Persistent survival inequalities exist between Blacks and Whites, suggesting differential access to treatment.

Why do some countries do better or worse in life expectancy relative to income? An analysis of Brazil, Ethiopia, and the United States of America

BACKGROUND

While in general a country's life expectancy increases with national income, some countries "punch above their weight", while some "punch below their weight" - achieving higher or lower life expectancy than would be predicted by their per capita income. Discovering which conditions or policies contribute to this outcome is critical to improving population health globally.

METHODS

We conducted a mixed-method study which included: analysis of life expectancy relative to income for all countries; an expert opinion study; and scoping reviews of literature and data to examine factors that may impact on life expectancy relative to income in three countries: Ethiopia, Brazil, and the United States. Punching above or below weight status was calculated using life expectancy at birth and gross domestic product per capita for 2014-2018. The scoping reviews covered the political context and history, social determinants of health, civil society, and political participation in each country.

RESULTS

Possible drivers identified for Ethiopia's extra 3 years life expectancy included community-based health strategies, improving access to safe water, female education and gender empowerment, and the rise of civil society organisations. Brazil punched above its weight by 2 years. Possible drivers identified included socio-political and economic improvements, reduced inequality, female education, health care coverage, civil society, and political participation. The United States' neoliberal economics and limited social security, market-based healthcare, limited public health regulation, weak social safety net, significant increases in income inequality and lower levels of political participation may have contributed to the country punching 2.9 years below weight.

CONCLUSIONS

The review highlighted potential structural determinants driving differential performance in population health outcomes cross-nationally. These included greater equity, a more inclusive welfare system, high political participation, strong civil society and access to employment, housing, safe water, a clean environment, and education. We recommend research comparing more countries, and also to examine the processes driving within-country inequities.

Cancer Disparities and Health Equity: A Policy Statement From the American Society of Clinical Oncology

ASCO strives, through research, education, and promotion of the highest quality of patient care, to create a world where cancer is prevented and every survivor is healthy. In this pursuit, cancer health equity remains the guiding institutional principle that applies to all its activities across the cancer care continuum. In 2009, ASCO committed to addressing differences in cancer outcomes in its original policy statement on cancer disparities. Over the past decade, despite novel diagnostics and therapeutics, together with changes in the cancer care delivery system such as passage of the Affordable Care Act, cancer disparities persist. Our understanding of the populations experiencing disparate outcomes has likewise expanded to include the intersections of race/ethnicity, geography, sexual orientation and gender identity, sociodemographic factors, and others. This updated statement is intended to guide ASCO's future activities and strategies to achieve its mission of conquering cancer for all populations. ASCO acknowledges that much work remains to be done, by all cancer stakeholders at the systems level, to overcome historical momentum and existing social structures responsible for disparate cancer outcomes. This updated statement affirms ASCO's commitment to moving beyond descriptions of differences in cancer outcomes toward achievement of cancer health equity, with a focus on improving equitable access to care, improving clinical research, addressing structural barriers, and increasing awareness that results in measurable and timely action toward achieving cancer health equity for all.

Changes in Disparities in Stage of Breast Cancer Diagnosis in Pennsylvania After the Affordable Care Act

Background: This study sought to determine if increased access to health insurance following the Affordable Care Act (ACA) resulted in an increased proportion of early-stage breast cancer diagnosis among women in Pennsylvania, particularly minorities, rural residents, and those of lower socioeconomic status. Materials and Methods: Data on 35,735 breast cancer cases among women 50-64 and 68-74 years of age in Pennsylvania between 2010 and 2016 were extracted from the Pennsylvania Cancer Registry and analyzed in 2019. Women 50-64 years of age were subdivided by race/ethnicity, area of residence, and socioeconomic status as measured by area deprivation index (ADI). We compared the proportions of early-stage breast cancer diagnosis pre-ACA (2010-2013) and post-ACA (2014-2016) for all women 50-64 years of age to all women 68-74 years of age. This comparison was also made between paired sociodemographic subgroups for women 50-64 years of age. Multivariable logistic regression models were constructed to assess how race, area of residence, ADI, and primary care physician (PCP) density interacted to impact breast cancer diagnosis post-ACA. Results: The proportion of early-stage breast cancer diagnosis increased by 1.71% post-ACA among women 50-64 years of age (p < 0.01), whereas women 68-74 years of age saw no change. Multivariable logistic regression analysis demonstrated that minority women had lower odds of early-stage breast cancer diagnosis pre-ACA, but not post-ACA, when controlling for ADI. Meanwhile, increased area-level socioeconomic advantage was associated with higher odds of being diagnosed with early-stage breast cancer pre- and post-ACA irrespective of controlling for race, area of residence, or PCP density. Conclusions: Enhanced access to health insurance under the ACA was associated with an increased proportion of early-stage breast cancer diagnosis in Pennsylvanian women 50-64 years of age and may have reduced racial, but not socioeconomic, disparities in breast cancer diagnosis.

Oncological and functional outcomes in patients over 70 years of age treated with robotic radical prostatectomy: a propensity-matched analysis

PURPOSE

The aim of this study was to report on the safety (complications) and efficacy (oncological and functional outcomes) of robot-assisted radical prostatectomy (RARP), performed at our institution, in patients aged over 70.

PATIENTS AND METHODS

Review of our prospectively collected database [Cancer Information Systems (CAISIS)] identified two hundred and fifteen (215) patients, aged > 70, who underwent RARP for localized prostate cancer between July 2003 and August 2017. A propensity score-matched analysis, with multiple covariates, was performed to stratify the patients into Age ≤ 70 and Age > 70 comparison groups.

RESULTS

Apart from Age (mean ± SD years: 73.5 ± 2.1 vs 59.5 ± 5.9, p < 0.0001) and nerve-sparing status, the two groups were evenly matched for all covariates (p values > 0.05). Median follow-up was 10.6 years. There were no 90-day mortalities in either group. Minor complications (Clavien ≤ 2) were more common in the Age > 70 group (p = 0.0002). Operating room time (p = 0.83), length of hospital stay (p = 0.06) and catheterization duration (p = 0.13) were similar. On final pathology, a higher pT stage (p < 0.0001) and pN1 (p = 0.003) were observed in the Age > 70 group. However, this did not translate adversely into higher rates of positive surgical margin (p = 0.41) or biochemical relapse (p = 0.72). Allowing for the follow-up duration (median 10.6 years), cancer-specific survival was marginally significant (p = 0.05) with an observed lower rate in the Age > 70 group. In terms of functional outcomes, post-operative erectile dysfunction and pad-free continence were significantly better in the younger cohort (p < 0.0001).

CONCLUSIONS

Robot-assisted radical prostatectomy should not be denied to those over 70 years solely on the basis of age. Older men need to be counseled about the likelihood of encountering higher-risk features on final pathology and that their functional outcomes may be worse compared to a younger person.