Cancer treatment and survivorship statistics, 2014.

The number of cancer survivors continues to increase due to the aging and growth of the population and improvements in early detection and treatment. In order for the public health community to better serve these survivors, the American Cancer Society and the National Cancer Institute collaborated to estimate the number of current and future cancer survivors using data from the Surveillance, Epidemiology, and End Results (SEER) program registries. In addition, current treatment patterns for the most common cancer types are described based on information in the National Cancer Data Base and the SEER and SEER-Medicare linked databases; treatment-related side effects are also briefly described. Nearly 14.5 million Americans with a history of cancer were alive on January 1, 2014; by January 1, 2024, that number will increase to nearly 19 million. The 3 most common prevalent cancers among males are prostate cancer (43%), colorectal cancer (9%), and melanoma (8%), and those among females are cancers of the breast (41%), uterine corpus (8%), and colon and rectum (8%). The age distribution of survivors varies substantially by cancer type. For example, the majority of prostate cancer survivors (62%) are aged 70 years or older, whereas less than one-third (32%) of melanoma survivors are in this older age group. It is important for clinicians to understand the unique medical and psychosocial needs of cancer survivors and to proactively assess and manage these issues. There are a growing number of resources that can assist patients, caregivers, and health care providers in navigating the various phases of cancer survivorship.

Comparison of Comorbid Medical Conditions in the National Cancer Database and the SEER-Medicare Database.

BACKGROUND: Physicians routinely factor comorbidities into diagnostic and treatment decisions. Analyses of treatment patterns and outcomes using the National Cancer Data Base (NCDB) usually adjust for comorbidities; however, the completeness of comorbidity ascertainment in the NCDB has never been assessed. We compared the prevalence of comorbidities captured in the NCDB and Surveillance, Epidemiology, and End Results (SEER)-Medicare among female breast, non-small-cell lung, and colorectal cancer patients aged ≥66. METHODS: In the NCDB, ten fields were searched for comorbidities. In the SEER-Medicare dataset, Medicare claims were used to identify comorbidities for two time periods: 12 months prior to diagnosis (Prior) and Index claim alone. Chi-square tests were used to compare comorbidity prevalence using propensity score-matched subsamples from each dataset. Kaplan-Meier survival analyses by Charlson-Deyo comorbidity score and data source were conducted. RESULTS: Comorbidity prevalence in NCDB did not differ significantly from that identified in SEER-Medicare Index claims across all three cancer sites, except for congestive heart failure, chronic pulmonary disease, and renal disease. However, when compared to the prevalence identified through SEER-Medicare Prior claims, comorbidity prevalence in the NCDB was lower. Overall survival rates by NCDB comorbidity scores were nearly identical to those based on SEER-Medicare Index claims but were lower than those based on SEER-Medicare Prior claims, particularly in higher comorbidity score categories. CONCLUSIONS: The study found overall similarity of comorbidity prevalence between NCDB and SEER-Medicare Index claims, but much less similarity between NCDB and SEER-Medicare Prior claims. Future researchers should understand the limitation of comorbidities ascertained in the NCDB and interpret results accordingly.

Insurance status and distant-stage disease at diagnosis among adolescent and young adult patients with cancer aged 15 to 39 years: National Cancer Data Base, 2004 through 2010.

BACKGROUND: The percentage of adolescent and young adult (AYA) patients with cancer (those aged 15-39 years) diagnosed at a distant stage of disease did not significantly change between 1975 and 2004. It has been hypothesized that a lack of health insurance may be a significant risk factor for a diagnosis of distant-stage disease among AYA patients, but to the authors' knowledge this has not been examined in a national sample. METHODS: The National Cancer Data Base, a hospital-based cancer registry, was used to obtain data regarding incident cancer cases among patients aged 15 years to 39 years who were diagnosed between 2004 and 2010. After all exclusions, a total of 285,448 cases were available for analysis; all AYA cancer sites were included. A retrospective study was conducted to assess the association between insurance status and stage of disease at diagnosis. RESULTS: After adjusting for age, race/ethnicity, facility type, ZIP code-based income and education levels, and US Census region, it was found that among males, uninsured patients were 1.51 times more likely to be diagnosed at a distant stage of disease compared with patients with private insurance (95% confidence interval, 1.46-1.55). Among females, the effect of insurance was stronger, with uninsured patients found to be 1.86 times more likely to be diagnosed at a distant stage (95% confidence interval, 1.79-1.94). The effect of insurance status was substantially stronger for malignancies that are more amenable to early detection (melanoma, thyroid carcinoma, breast carcinoma, genitourinary carcinoma), and substantially weaker for those that are less amenable to early detection (lung carcinoma, adrenocortical carcinoma, Wilms tumor). CONCLUSIONS: In a large national sample of AYA patients with cancer, insurance status was found to be a strong independent risk factor for distant-stage disease at the time of diagnosis.

Disparities in survival improvement for metastatic colorectal cancer by race/ethnicity and age in the United States.

PURPOSE: Previous studies documented significant increase in overall survival for metastatic colorectal cancer (CRC) since the late 1990s coinciding with the introduction and dissemination of new treatments. We examined whether this survival increase differed across major racial/ethnic populations and age groups. METHODS: We identified patients diagnosed with primary metastatic colorectal cancer during 1992-2009 from 13 population-based cancer registries of the National Cancer Institute's Surveillance, Epidemiology, and End Results Program, which cover about 14 % of the US population. The 5-year cause-specific survival rates were calculated using SEER*Stat software. RESULTS: From 1992-1997 to 2004-2009, 5-year cause-specific survival rates increased significantly from 9.8 % (95 % CI 9.2-10.4) to 15.7 % (95 % CI 14.7-16.6) in non-Hispanic whites and from 11.4 % (95 % CI 9.4-13.6) to 17.7 % (95 % CI 15.1-20.5) in non-Hispanic Asians, but not in non-Hispanic blacks [from 8.6 % (95 % CI 7.2-10.1) to 9.8 % (95 % CI 8.1-11.8)] or Hispanics [from 14.0 % (95 % CI 11.8-16.3) to 16.4 % (95 % CI 14.0-19.0)]. By age group, survival rates increased significantly for the 20-64-year age group and 65 years or older age group in non-Hispanic whites, although the improvement in the older non-Hispanic whites was substantially smaller. Rates also increased in non-Hispanic Asians for the 20-64-year age group although marginally nonsignificant. In contrast, survival rates did not show significant increases in both younger and older age groups in non-Hispanic blacks and Hispanics. CONCLUSION: Non-Hispanic blacks, Hispanics, and older patients diagnosed with metastatic CRC have not equally benefitted from the introduction and dissemination of new treatments.

Surveillance outcomes of respiratory pathogen infections during the 2021-2022 season among U.S. Military Health System beneficiaries, October 3, 2021-October 1, 2022.

The Department of Defense Global Respiratory Pathogen Surveillance Program conducts continuous surveillance for influenza, severe acute respiratory syndrome 2 (SARS-CoV-2), and other respiratory pathogens at 104 sentinel sites across the globe. These sites submitted 65,475 respiratory specimens for clinical diagnostic testing during the 2021-2022 surveillance season. The predominant influenza strain was influenza A(H3N2) (n=777), of which 99.9% of strains were in clade 3C.2a1b.2a2. A total of 21,466 SARSCoV-2-positive specimens were identified, and 12,225 of the associated viruses were successfully sequenced. The Delta variant predominated at the start of the season, until December 2021, when Omicron became dominant. Most circulating SARS-CoV-2 viruses were subsequently held by Omicron sublineages BA.1, BA.2, and BA.5 during the season. Clinical manifestation, obtained through a self-reported questionnaire, found that cough, sinus congestion, and runny nose complaints were the most common symptoms presenting among all pathogens. Sentinel surveillance can provide useful epidemiological data to supplement other disease monitoring activities, and has become increasingly useful with increasing numbers of individuals utilizing COVID-19 rapid self-test kits and reductions in outpatient visits for routine respiratory testing.

Comparison of cases captured in the national cancer data base with those in population-based central cancer registries.

BACKGROUND: The National Cancer Data Base (NCDB) is a large, geographically diverse hospital-based cancer registry that has been used to study factors related to cancer diagnosis, treatment, and survival. The primary purpose of this study was to compare the case counts and characteristics of patients in NCDB with population-based registries reported in the United States Cancer Statistics (USCS). METHODS: Cancer case counts from NCDB were compared to case counts from USCS to measure NCDB's case coverage, or the percentage of cases captured. Case coverage was examined by a variety of characteristics, including state of residence, race/ethnicity, age, and primary cancer site. RESULTS: The overall NCDB case coverage was 67.4 %, ranging from a high of 88.7 % for Delaware to a low of 27.1 % for Arizona. Case coverage for white, black, and Asian/Pacific Islander cases was high (64.7 % to 67.4 %), but it was much lower for American Indians/Alaskan Natives (32.8 %) and those of Hispanic ethnicity (51.1 %). Among the elderly (aged 65 + years), case coverage is much lower compared to persons younger than 65 (63.0 % and 73.0 %, respectively). Case coverage also varied widely by site, with the highest being cervix (77.9 %) and the lowest being melanoma (50.6 %). CONCLUSIONS: This study highlights the geographic- and site-specific variation in NCDB case coverage, primarily as a result of NCDB facility presence and data collection and processing protocols. These findings illustrate the strengths and limitations of NCDB as a resource for nationwide data on cancer diagnosis, treatment, and survival.

Waning Vaccine Protection against Influenza among Department of Defense Adult Beneficiaries in the United States, 2016-2017 through 2019-2020 Influenza Seasons.

The objective of this study was to assess inactivated influenza vaccine effectiveness (VE) by time since vaccination in adults aged ≥ 18 years using a test-negative design. All data were obtained from the US Department of Defense Global Respiratory Pathogen Surveillance Program over four influenza seasons, from 2016-2017 through 2019-2020. Analyses were performed to estimate VE using a generalized linear mixed model with logit link and binomial distribution. The adjusted overall VE against any medically attended, laboratory-confirmed influenza decreased from 50% (95% confidence interval (CI): 41-58%) in adults vaccinated 14 to 74 days prior to the onset of influenza-like illness (ILI), to 39% (95% CI: 31-47%) in adults vaccinated 75 to 134 days prior to the onset of ILI, then to 17% (95% CI: 0-32%) in adults vaccinated 135 to 194 days prior to the onset of ILI. The pattern and magnitude of VE change with increasing time since vaccination differed by influenza (sub)types. Compared to VE against influenza A(H1N1)pdm09 and influenza B, the decrease of VE against influenza A(H3N2) was more pronounced with increasing time since vaccination. In conclusion, based on the analysis of 2536 influenza-positive cases identified from 7058 adults over multiple influenza seasons, the effectiveness of inactivated influenza vaccine wanes within 180 days after 14 days of influenza vaccination.

Circulating Trends of Influenza and Other Seasonal Respiratory Viruses among the US Department of Defense Personnel in the United States: Impact of the COVID-19 Pandemic.

The objective of this study was to evaluate the impact of the COVID-19 pandemic on the circulation of influenza and other seasonal respiratory viruses in the United States. All data were obtained from the US Department of Defense Global Respiratory Pathogen Surveillance Program over five consecutive respiratory seasons from 2016-2017 through to 2020-2021. A total of 62,476 specimens were tested for seasonal respiratory viruses. The circulating patterns of seasonal respiratory viruses have been greatly altered during the pandemic. The 2019-2020 influenza season terminated earlier compared to the pre-pandemic seasons, and the 2020-2021 influenza season did not occur. Moreover, weekly test positivity rates dramatically decreased for most of the seasonal respiratory viruses from the start of the pandemic through spring 2021. After the easing of non-pharmaceutical interventions (NPIs), circulations of seasonal coronavirus, parainfluenza, and respiratory syncytial virus have returned since spring 2021. High rhinovirus/enterovirus activity was evident throughout the 2020-2021 respiratory season. The findings suggest a strong association between the remarkably changed activity of seasonal respiratory viruses and the implementation of NPIs during the COVID-19 pandemic. The NPIs may serve as an effective public health tool to reduce transmissions of seasonal respiratory viruses.

Persistent disparities in liver transplantation for patients with hepatocellular carcinoma in the United States, 1998 through 2007.

BACKGROUND: Prior studies have demonstrated that among patients with hepatocellular carcinoma (HCC), African Americans (AAs) and Asian/Pacific Islanders (APIs) are substantially less likely to undergo liver transplantation (LT) compared with whites. The authors examined whether disparities in the receipt of LT among LT-eligible HCC patients changed over a 10-year time period, and whether the disparities might be explained by sociodemographic or clinical factors. METHODS: The National Cancer Data Base, a national hospital-based cancer registry, was used to study 7707 adults with small (≤ 5 cm), nonmetastatic HCC diagnosed between 1998 and 2007. Racial/ethnic patterns in the use of LT were compared during 2 periods of 5 years each: 1998 through 2002 (n = 2412 patients) and 2003 through 2007 (n = 5295 patients). Data regarding comorbid medical conditions were only available during the later time period. RESULTS: Large and persistent racial/ethnic differences in the probability of receiving LT were observed. Compared with whites, hazard ratios (HRs) and associated 95% confidence intervals (95% CIs) for receiving LT from 1998 through 2002 were 0.64 (95% CI, 0.46-0.89) for AA patients, 1.01 (95% CI, 0.79-1.29) for Hispanic patients, and 0.52 (95% CI, 0.39-0.68) for API patients. Analogous results for 2003 through 2007 were 0.64 (95% CI, 0.54-0.76) for AA patients, 0.86 (95% CI, 0.75-0.99) for Hispanic patients, and 0.58 (95% CI, 0.49-0.69) for API patients. AA patients were less likely than whites to undergo any form of surgery, and API patients were more likely than whites to undergo surgical resection. Adjustment for sociodemographic and clinical factors produced only small changes in these HRs. CONCLUSIONS: Between 1998 and 2007, there were large and persistent racial/ethnic disparities noted in the receipt of LT among patients with HCC. These disparities were not explained by sociodemographic or clinical factors.

Inactivated influenza vaccine effectiveness among department of defense beneficiaries aged 6 months-17 years, 2016-2017 through 2019-2020 influenza seasons.

A test-negative case-control study was conducted to assess inactivated influenza vaccine effectiveness (VE) in children aged 6 months-17 years. The database was developed from the US Department of Defense Global Respiratory Pathogen Surveillance Program over four consecutive influenza seasons from 2016 to 2020. A total of 9,385 children including 4,063 medically attended, laboratory-confirmed influenza-positive cases were identified for VE analysis. A generalized linear mixed model with logit link and binomial distribution was used to estimate the VE. The adjusted VE for children was 42% [95% confidence interval (CI): 37-47%] overall, including 55% (95% CI: 47-61%) for influenza A(H1N1)pdm09, 37% (95% CI: 28-45%) for influenza A(H3N2), and 49% (95% CI: 41-55%) for influenza B. The analysis by age groups indicated that the adjusted VE in children aged 6 months-4 years was higher against influenza A(H1N1)pdm09 and influenza B, and comparable against influenza A(H3N2), compared to those in children aged 5-17 years. Further age-stratified analysis showed that the VE against any types of influenza was low and non-significant for children aged 6-11 months (33%; 95% CI:-2-56%), but it was high (54%; 95% CI: 34-67%) in children aged 12-23 months, and then declined linearly with increasing age. In conclusion, the inactivated influenza vaccination was moderately effective against influenza infection, based on the analysis from a large number of children aged 6 months-17 years over multiple influenza seasons.

Influenza Vaccine Effectiveness Estimates among US Department of Defense Adult Beneficiaries over Four Consecutive Influenza Seasons: A Test-Negative Design Study with Different Control Groups.

A test-negative design study with different control groups (influenza test-negative controls, non-influenza virus positive controls, and pan-negative controls) was conducted to assess inactivated influenza vaccine effectiveness (VE) in adults aged ≥18 years, 2016-2017 through 2019-2020 influenza seasons. A database was developed from the US Department of Defense Global Respiratory Pathogen Surveillance Program. VE was estimated using a generalized linear mixed model with logit link and binomial distribution, adjusted for confounding effects. A total of 7114 adults including 2543 medically attended, laboratory-confirmed influenza-positive cases were identified. Using influenza test-negative controls, the adjusted VE in adults was 40% [95% confidence interval (CI): 33-46%] overall, including 46% (95% CI: 36-55%) for influenza A(H1N1)pdm09, 32% (95% CI: 19-42%) for influenza A(H3N2), and 54% (95% CI: 44-62%) for influenza B. The age-stratified analysis showed that VE estimates against influenza A(H1N1)pdm09 (34%; 95% CI: -29-66%) and influenza A(H3N2) (6%; 95% CI: -60-45%) were low and non-significant for elderly adults ≥65 years of age. Overall VE estimates against any influenza or by influenza (sub)types in adults were consistent when using influenza test-negative controls, non-influenza virus positive controls, and pan-negative controls. Inactivated influenza vaccination provided moderate protection against influenza virus infection, based on the analysis from a large number of adults aged ≥18 years over multiple influenza seasons.

Influenza Surveillance Trends and Influenza Vaccine Effectiveness Among Department of Defense Beneficiaries During the 2019-2020 Influenza Season.

Laboratory-based influenza surveillance was conducted in the 2019-2020 influenza season among Department of Defense (DoD) beneficiaries through the DoD Global Respiratory Pathogen Surveillance Program (DoDGRS). Sentinel and participating sites submitted 28,176 specimens for clinical diagnostic testing. A total of 5,529 influenza-positive cases were identified. Starting at surveillance week 45 (3-9 November 2019), influenza B was the predominant influenza type, followed by high activity of influenza A(H1N1)pdm09 three weeks thereafter. Both influenza B and influenza A(H1N1)pdm09 were then highly co-circulated through surveillance week 13 (22-28 March 2020). End-of-season influenza vaccine effectiveness (VE) was estimated using a test-negative case-control study design. The adjusted end-of-season VE for all beneficiaries, regardless of influenza type or subtype, was 46% (95% confidence interval: 40%-52%). The influenza vaccine was moderately effective against influenza viruses during the 2019-2020 influenza season.

Respiratory pathogen surveillance trends and influenza vaccine effectiveness estimates for the 2018-2019 season among Department of Defense beneficiaries.

This report primarily focuses on the data collected and analyzed from the worldwide network of sentinel military treatment facilities chosen to participate in the Department of Defense Global Respiratory Pathogen Surveillance (DoDGRS) program. Sites that participated in the 2018-2019 DoDGRS program submitted 24,320 respiratory specimens for diagnostic testing. Clinical results showed a total of 5,968 positive influenza cases. In the beginning of the season, starting in surveillance week 48, influenza A(H1N1)pdm09 was the predominant subtype. The predominant subtype switched to influenza A(H3N2) beginning in week 6 and continued through the end of the season. Influenza B virus detection was less common during the surveillance period (i.e., 1% of total submitted specimens and 5% of total influenza detected). In addition to routine surveillance, the DoDGRS program also conducts vaccine effectiveness (VE) studies twice per year to determine interim and end of season estimates. Overall, the adjusted end of season VE for all dependents regardless of influenza type was 30% (95% CI: 22%-38%).

Malignancy in U.S. Air Force fighter pilots and other officers, 1986-2017: A retrospective cohort study.

OBJECTIVE: This study sought to determine the incidence rates of cancer, overall and by site, among active component U.S. Air Force fighter pilots, and to compare the rates with those in other active component Air Force officers. METHODS: Using a matched retrospective cohort design, U.S. Air Force fighter pilots were compared with other commissioned officers who entered active component service between 1 January 1986 and 31 December 2006. The cohort was followed for cancer diagnoses in TRICARE and the Veterans Health Administration from 1 October 1995 through 31 December 2017. Fighter pilots and non-fighter pilot officers were compared after matching on sex, age at first observation (15 age groups), and age at last observation (15 age groups). Sex-stratified overall and site-specific cancer rates were compared with matched Poisson regression to determine incidence rate ratios with 95% confidence intervals. RESULTS: During 1,412,590 person-years of follow-up, among the study population of 88,432 service members (4,949 fighter pilots and 83,483 matched officers), 977 incident cancer cases were diagnosed (86 in fighter pilots and 891 in matched officers). Male fighter pilots and matched officers had similar rates of all malignant cancers (RR = 1.04; 95% CI: 0.83-1.31) and of each cancer site. Female fighter pilots and matched officers also had similar rates of all malignant cancers (RR = 0.99; 95% CI: 0.25-4.04). DISCUSSION: In the active component U.S. Air Force, fighter pilots and their officer peers had similar overall and site-specific cancer rates.

Positive predictive value of an algorithm used for cancer surveillance in the U.S. Armed Forces.

Recent large-scale epidemiologic studies of cancer incidence in the U.S. Armed Forces have used International Classification of Disease, 9th and 10th Revision (ICD-9 and ICD-10, respectively) diagnostic codes from administrative medical encounter data archived in the Defense Medical Surveillance System. Cancer cases are identified and captured according to an algorithm published by the Armed Forces Health Surveillance Branch. Standardized chart reviews were performed to provide a gold standard by which to validate the case definition algorithm. In a cohort of active component U.S. Air Force, Navy, and Marine Corps officers followed from 1 October 1995 through 31 December 2017, a total of 2,422 individuals contributed 3,104 algorithm-derived cancer cases. Of these cases, 2,108 (67.9%) were classified as confirmed cancers, 568 (18.3%) as confirmed not cancers, and 428 (13.8%) as unclear. The overall positive predictive value (PPV) of the algorithm was 78.8% (95% confidence interval [CI]: 77.2-80.3). For the 12 cancer sites with at least 50 cases identified by the algorithm, the PPV ranged from a high of 99.6% for breast and testicular cancers (95% CI: 97.8-100.0 and 97.7-100.0, respectively) to a low of 78.1% (95% CI: 71.3-83.9) for non-Hodgkin lymphoma. Of the 568 cases confirmed as not cancer, 527 (92.7%) occurred in individuals with at least 1 other confirmed cancer, suggesting algorithmic capture of metastases as additional primary cancers.

Racial differences in mortality among men hospitalized in military hospitals.

A comparative study was conducted on patients in military hospitals in response to recent studies at veterans hospitals showing the possibility that access to an equal-access health care system may reduce or reverse racial differences in mortality outcomes. Using a cohort study of 14,122 military retirees admitted to military hospitals with any of six common medical diagnoses between October 2000 and September 2004, we evaluated differences in patient and hospital characteristics and evaluated race-specific hospital mortality. Despite long-term equal access to comprehensive medical care, there were significant racial differences in patient- and hospital-level risk factors among male military retirees hospitalized with common medical diagnoses. In unadjusted analyses, risk of hospital mortality was significantly lower in African Americans and other non-Caucasians when compared to Caucasians, but differences disappeared after adjustment for all risk factors.

Factors That Contributed to Black-White Disparities in Survival Among Nonelderly Women With Breast Cancer Between 2004 and 2013.

Purpose To estimate the contribution of differences in demographics, comorbidity, insurance, tumor characteristics, and treatment to the overall mortality disparity between nonelderly black and white women diagnosed with early-stage breast cancer. Patients and Methods Excess relative risk of all-cause death in black versus white women diagnosed with stage I to III breast cancer, expressed as a percentage and stratified by hormone receptor status for each variable (demographics, comorbidity, insurance, tumor characteristics, and treatment) in sequentially, propensity-scored, optimally matched patients by using multivariable hazard ratios (HRs). Results We identified 563,497 white and black women 18 to 64 years of age diagnosed with stage I to III breast cancer from 2004 to 2013 in the National Cancer Data Base. Among women with hormone receptor-positive disease, who represented 78.5% of all patients, the HR for death in black versus white women in the demographics-matched model was 2.05 (95% CI, 1.94 to 2.17). The HR decreased to 1.93 (95% CI, 1.83 to 2.04), 1.54 (95% CI, 1.47 to 1.62), 1.30 (95% CI, 1.24 to 1.36), and 1.25 (95% CI, 1.19 to 1.31) when sequentially matched for comorbidity, insurance, tumor characteristics, and treatment, respectively. These factors combined accounted for 76.3% of the total excess risk of death in black patients; insurance accounted for 37.0% of the total excess, followed by tumor characteristics (23.2%), comorbidities (11.3%), and treatment (4.8%). Results generally were similar among women with hormone receptor-negative disease, although the HRs were substantially smaller. Conclusion Matching by insurance explained one third of the excess risk of death among nonelderly black versus white women diagnosed with early-stage breast cancer; matching by tumor characteristics explained approximately one fifth of the excess risk. Efforts to focus on equalization of access to care could substantially reduce ethnic/racial disparities in overall survival among nonelderly women diagnosed with breast cancer.