Association between adjuvant radiation treatment and breast cancer-specific mortality among older women with comorbidity burden: A comparative effectiveness analysis of SEER-MHOS.

BACKGROUND: The National Comprehensive Cancer Network suggested that older women with low-risk breast cancer (LRBC; i.e., early-stage, node-negative, and estrogen receptor-positive) could omit adjuvant radiation treatment (RT) after breast-conserving surgery (BCS) if they were treated with hormone therapy. However, the association between RT omission and breast cancer-specific mortality among older women with comorbidity is not fully known. METHODS: 1105 older women (≥65 years) with LRBC in 1998-2012 were queried from the Surveillance, Epidemiology, and End Results-Medicare Health Outcomes Survey data resource and were followed up through July 2018. Latent class analysis was performed to identify comorbidity burden classes. A propensity score-based inverse probability of treatment weighting (IPTW) was applied to Cox regression models to obtain subdistribution hazard ratios (HRs) and 95% CI for cancer-specific mortality considering other causes of death as competing risks, overall and separately by comorbidity burden class. RESULTS: Three comorbidity burden (low, moderate, and high) groups were identified. A total of 318 deaths (47 cancer-related) occurred. The IPTW-adjusted Cox regression analysis showed that RT omission was not associated with short-term, 5- and 10-year cancer-specific death (p = 0.202 and p = 0.536, respectively), regardless of comorbidity burden. However, RT omission could increase the risk of long-term cancer-specific death in women with low comorbidity burden (HR = 1.98, 95% CI = 1.17, 3.33), which warrants further study. CONCLUSIONS: Omission of RT after BCS is not associated with an increased risk of cancer-specific death and is deemed a reasonable treatment option for older women with moderate to high comorbidity burden.

The association between sociodemographic, clinical, and potentially preventive therapies with oxaliplatin-induced peripheral neuropathy in colorectal cancer patients.

PURPOSE: The purpose of this retrospective cohort study was to evaluate whether several potentially preventive therapies reduced the rate of oxaliplatin-induced peripheral neuropathy (OIPN) in colorectal cancer patients and to assess the relationship of sociodemographic/clinical factors with OIPN diagnosis. METHODS: Data were obtained from the Surveillance, Epidemiology, and End Results database combined with Medicare claims. Eligible patients were diagnosed with colorectal cancer between 2007 and 2015, ≥ 66 years of age, and treated with oxaliplatin. Two definitions were used to denote diagnosis of OIPN based on diagnosis codes: OIPN 1 (specific definition, drug-induced polyneuropathy) and OIPN 2 (broader definition, additional codes for peripheral neuropathy). Cox regression was used to obtain hazard ratios (HR) with 95% confidence intervals (CI) for the relative rate of OIPN within 2 years of oxaliplatin initiation. RESULTS: There were 4792 subjects available for analysis. At 2 years, the unadjusted cumulative incidence of OIPN 1 was 13.1% and 27.1% for OIPN 2. For both outcomes, no therapies reduced the rate of OIPN diagnosis. The anticonvulsants gabapentin and oxcarbazepine/carbamazepine were associated with an increased rate of OIPN (both definitions) as were increasing cycles of oxaliplatin. Compared to younger patients, those 75-84 years of age experienced a 15% decreased rate of OIPN. For OIPN 2, prior peripheral neuropathy and moderate/severe liver disease were also associated with an increased hazard rate. For OIPN 1, state buy-in health insurance coverage was associated with a decreased hazard rate. CONCLUSION: Additional studies are needed to identify preventive therapeutics for OIPN in cancer patients treated with oxaliplatin.

Health insurance and neighborhood poverty as mediators of racial disparities in advanced disease stage at diagnosis and nonreceipt of surgery for women with breast cancer.

BACKGROUND: In our recent study, advanced disease stage and nonreceipt of surgery were the most important mediators of the racial disparity in breast cancer survival. The purpose of this study was to quantify the racial disparity in these two intermediate outcomes and investigate mediation by the more proximal mediators of insurance status and neighborhood poverty. METHODS: This was a cross-sectional study of non-Hispanic Black and non-Hispanic White women diagnosed with first primary invasive breast cancer in Florida between 2004 and 2015. Log-binomial regression was used to obtain prevalence ratios (PR) with 95% confidence intervals (CIs). Multiple mediation analysis was used to assess the role of having Medicaid/being uninsured and living in high-poverty neighborhoods on the race effect. RESULTS: There were 101,872 women in the study (87.0% White, 13.0% Black). Black women were 55% more likely to be diagnosed with advanced disease stage at diagnosis (PR, 1.55; 95% CI, 1.50-1.60) and nearly twofold more likely to not receive surgery (PR, 1.97; 95% CI, 1.90-2.04). Insurance status and neighborhood poverty explained 17.6% and 5.3% of the racial disparity in advanced disease stage at diagnosis, respectively; 64.3% remained unexplained. For nonreceipt of surgery, insurance status explained 6.8% while neighborhood poverty explained 3.2%; 52.1% was unexplained. CONCLUSIONS: Insurance status and neighborhood poverty were significant mediators of the racial disparity in advanced disease stage at diagnosis with a smaller impact on nonreceipt of surgery. However, interventions designed to improve breast cancer screening and receipt of high-quality cancer treatment must address additional barriers for Black women with breast cancer.

Trends in Breast Cancer Survival by Race-Ethnicity in Florida, 1990-2015.

BACKGROUND: This study was conducted to evaluate trends in survival, by race-ethnicity, for women diagnosed with breast cancer in Florida over a 26-year period. METHODS: This was a retrospective cohort study of women diagnosed with invasive breast cancer in Florida between 1990 and 2015. Data were obtained from the Florida Cancer Data System. Women in the study were categorized according to race (white/black) and Hispanic ethnicity (yes/no). Cumulative incidence estimates of 5- and 10-year breast cancer-related death with 95% confidence intervals (CI) were obtained by race-ethnicity, according to diagnosis year. Subdistribution hazard models were used to obtain subdistribution HRs (sHR) for the relative rate of breast cancer death accounting for competing causes. RESULTS: Breast cancer mortality decreased for all racial-ethnic groups, and racial-ethnic minorities had greater absolute and relative improvement for nearly all metrics compared with non-Hispanic white (NHW) women. However, for the most recent time period (2010-2015), black women still experienced significant survival disparities with non-Hispanic black (NHB) women, having twice the rate of 5-year [sHR = 2.04; 95% confidence interval (CI), 1.91-2.19] and 10-year (sHR = 2.02; 95% CI, 1.89-2.16) breast cancer-related death. Adjustment for covariates substantially reduced the excess rate of breast cancer-related death for black women. CONCLUSIONS: Despite efforts to improve disparities in breast cancer outcomes for underserved women in Florida, black women continue to experience significant survival disparities. IMPACT: These results highlight the need for targeted approaches to eliminate disparities in breast cancer survival for black women.

Characteristics Associated With Nonreceipt of Surveillance Testing and the Relationship With Survival in Stage II and III Colon Cancer.

We investigated characteristics of patients with colon cancer that predicted nonreceipt of posttreatment surveillance testing and the subsequent associations between surveillance status and survival outcomes. This was a retrospective cohort study of the Surveillance, Epidemiology, and End Results database combined with Medicare claims. Patients diagnosed between 2002 and 2009 with disease stages II and III and who were between 66 and 84 years of age were eligible. A minimum of 3 years' follow-up was required, and patients were categorized as having received any surveillance testing (any testing) versus none (no testing). Poisson regression was used to obtain risk ratios with 95% confidence intervals for the relative likelihood of No Testing. Cox models were used to obtain subdistribution hazard ratios with 95% confidence intervals for 5- and 10-year cancer-specific and noncancer deaths. There were 16,009 colon cancer cases analyzed. Patient characteristics that predicted No Testing included older age, Black race, stage III disease, and chemotherapy. Patients in the No Testing group had an increased rate of 10-year cancer death that was greater for patients with stage III disease (subdistribution hazard ratio = 1.79, 95% confidence interval: 1.48, 2.17) than those with stage II disease (subdistribution hazard ratio = 1.41, 95% confidence interval: 1.19, 1.66). Greater efforts are needed to ensure all patients receive the highest quality medical care after diagnosis of colon cancer.

Surveillance Colonoscopy in Older Stage I Colon Cancer Patients and the Association With Colon Cancer-Specific Mortality.

OBJECTIVES: Guideline-issuing groups differ regarding the recommendation that patients with stage I colon cancer receive surveillance colonoscopy after cancer-directed surgery. This observational comparative effectiveness study was conducted to evaluate the association between surveillance colonoscopy and colon cancer-specific mortality in early stage patients. METHODS: This was a retrospective cohort study of the Surveillance, Epidemiology, and End Results database combined with Medicare claims. Surveillance colonoscopy was assessed as a time-varying exposure up to 5 years after cancer-directed surgery with the following groups: no colonoscopy, one colonoscopy, and ≥ 2 colonoscopies. Inverse probability of treatment weighting was used to balance covariates. The time-dependent Cox regression model was used to obtain inverse probability of treatment weighting-adjusted hazard ratios (HRs), with 95% confidence intervals (CIs) for 5- and 10-year colon cancer, other cancer, and noncancer causes of death. RESULTS: There were 8,783 colon cancer cases available for analysis. Overall, compared with patients who received one colonoscopy, the no colonoscopy group experienced an increased rate of 10-year colon cancer-specific mortality (HR = 1.63; 95% CI 1.31-2.04) and noncancer death (HR = 1.36; 95% CI 1.25-1.49). Receipt of ≥ 2 colonoscopies was associated with a decreased rate of 10-year colon cancer-specific death (HR = 0.60; 95% CI 0.45-0.79), other cancer death (HR = 0.68; 95% CI 0.53-0.88), and noncancer death (HR = 0.69; 95% CI 0.62-0.76). Five-year cause-specific HRs were similar to 10-year estimates. DISCUSSION: These results support efforts to ensure that stage I patients undergo surveillance colonoscopy after cancer-directed surgery to facilitate early detection of new and recurrent neoplastic lesions.

Neighborhood context and non-small cell lung cancer outcomes in Florida non-elderly patients by race/ethnicity.

OBJECTIVE: The purpose of this study was to investigate the relationship between neighborhood environment and lung cancer outcomes among Florida residents younger than 65 years of age. METHODS AND MATERIALS: This was a retrospective cohort study that included patients diagnosed with non-small cell lung cancer (NSCLC) in Florida from January 2005 to December 2014 (n = 22,750). Multi-level, mixed-effect logistic regression models were used for two outcomes: receipt of treatment and receipt of surgery. Survival analyses, using proportional subdistribution hazard models, were conducted to examine the impact of neighborhood characteristics on risk of death due to lung cancer with adjustment for individual-level variables. Neighborhood exposures of interest were census tract level black and Hispanic segregation combined with economic deprivation. RESULTS: White patients who lived in low black segregation/high deprivation areas had 15 % lower odds of receiving surgery (95 % CI: 0.76-0.93). However, the likelihood of receiving surgery for black patients who lived in high black segregation/low deprivation and high black segregation/high deprivation was lower than for black patients who lived in low black segregation/low deprivation neighborhoods (level 3 AOR = 0.56 [0.38-0.85]; level 4 AOR = 0.69 [0.54-0.88]). Living in suburban and rural areas increased the risk of lung cancer death for white patients by 14 % (95 % CI: 1.05-1.24) and 26 % (95 % CI: 1.08-1.46), respectively. Living in rural areas increased the risk of death for black patients by 54 % r (SHR = 1.54 [1.19-2.0]). Black patients who live in high Hispanic segregation/high deprivation had 36 % increased risk of death compared to black patients who lived in low Hispanic segregation/low deprivation areas. CONCLUSION: This study suggests that when investigating cancer disparities, merely adjusting for race/ethnicity does not provide sufficient explanation to understand survival and treatment variations. Lung cancer outcomes are impacted by neighborhood environments that are formed based on the distribution of race, ethnicity and class.

Post-treatment surveillance testing of patients with colorectal cancer and the association with survival: protocol for a retrospective cohort study of the Surveillance, Epidemiology, and End Results (SEER)-Medicare database.

INTRODUCTION: Although the colorectal cancer (CRC) mortality rate has significantly improved over the past several decades, many patients will have a recurrence following curative treatment. Despite this high risk of recurrence, adherence to CRC surveillance testing guidelines is poor which increases cancer-related morbidity and potentially, mortality. Several randomised controlled trials (RCTs) with varying surveillance strategies have yielded conflicting evidence regarding the survival benefit associated with surveillance testing. However, due to differences in study protocols and limitations of sample size and length of follow-up, the RCT may not be the best study design to evaluate this relationship. An observational comparative effectiveness research study can overcome the sample size/follow-up limitations of RCT designs while assessing real-world variability in receipt of surveillance testing to provide much needed evidence on this important clinical issue. The gap in knowledge that this study will address concerns whether adherence to National Comprehensive Cancer Network CRC surveillance guidelines improves survival. METHODS AND ANALYSIS: Patients with colon and rectal cancer aged 66-84 years, who have been diagnosed between 2002 and 2008 and have been included in the Surveillance, Epidemiology, and End Results-Medicare database, are eligible for this retrospective cohort study. To minimise bias, patients had to survive at least 12 months following the completion of treatment. Adherence to surveillance testing up to 5 years post-treatment will be assessed in each year of follow-up and overall. Binomial regression will be used to assess the association between patients' characteristics and adherence. Survival analysis will be conducted to assess the association between adherence and 5-year survival. ETHICS AND DISSEMINATION: This study was approved by the National Cancer Institute and the Institutional Review Board of the University of Central Florida. The results of this study will be disseminated by publishing in the peer-reviewed scientific literature, presentation at national/international scientific conferences and posting through social media.

The effect of methodology in determining disparities in in-hospital mortality of trauma patients based on payer source.

A retrospective registry review of adult patients admitted to a Level I trauma center sought to determine whether results regarding in-hospital mortality associated with payer source vary on the basis of methodology. Patients were categorized into 4 literature-derived definitions (Definition 1: insured and uninsured; Definition 2: commercially insured, publicly insured, and uninsured; Definition 3: commercially insured, Medicaid, Medicare, and uninsured; and Definition 4: commercially insured, Medicaid, and uninsured). In-hospital mortality differences were found in Definitions 2 and 3, and when reclassifying dual-eligible Medicare/Medicaid into socioeconomic and age indicators. Variations in methodology culminated in results that could be interpreted with differing conclusions.

Characteristics associated with breastfeeding behaviors among urban versus rural women enrolled in the Kansas WIC program.

The Special Supplemental Nutrition Program for Women, Infants and Children (WIC) is a public nutritional assistance program for low-income women and their children up to age five. This study provides insight into maternal characteristics associated with breastfeeding among urban versus rural women. A secondary analysis was conducted using the Pregnancy Nutrition Surveillance System dataset of women enrolled in the Kansas WIC program in 2011. Geographic residency status was obtained through application of the Census tract-based rural-urban commuting area codes. Descriptive variables included maternal demographics, health, and lifestyle behaviors. A multivariable binary logistic regression was used to obtain adjusted odds ratios with 95 % confidence intervals. The outcome variable was initiation of breastfeeding. A P value of ≤0.05 was considered statistically significant. The total sample size was 17,067 women. Statistically significant differences regarding socio-demographics, program participation, and health behaviors for urban and rural WIC participants were observed. About 74 % of all WIC mothers initiated breastfeeding. Urban women who were Hispanic, aged 18-19, high school graduates, household income >$10,000/year, and started early prenatal care were more likely to breastfeed. Urban and rural women who were non-Hispanic black with some high school education were less likely to breastfeed. Increased breastfeeding initiation rates are the result of a collaborative effort between WIC and community organizations. Availability of prenatal services to rural women is critical in the success of breastfeeding promotion. Findings help inform WIC program administrators and assist in enhancing breastfeeding services to the Kansas WIC population.

Treatment and survival disparities in lung cancer: the effect of social environment and place of residence.

OBJECTIVE: The purpose of this study was to measure the extent to which geographic residency status and the social environment are associated with disease stage at diagnosis, receipt of treatment, and five-year survival for patients diagnosed with non-small cell lung cancer (NSCLC). METHODS AND MATERIALS: This study was a retrospective cohort study of the Georgia Comprehensive Cancer Registry (GCCR) for incident cases of NSCLC diagnosed in the state. Multilevel logistic models were employed for five outcome variables: unstaged and late stage disease at diagnosis; receipt of treatment (surgery, chemotherapy, and radiation); and survival following diagnosis. The social and geographical variables of interest were census tract (CT) poverty level, CT-level educational attainment, and CT-level geographic residency status. RESULTS: Compared to urban residents, rural and suburban residents had increased odds of unstaged disease (suburban OR=1.23, 95% CI: 1.11-1.37; rural OR=1.63, 95% CI: 1.45-1.83). In this study, rural participants had lower odds of receiving radiotherapy (OR=0.89, 95% CI: 0.82-0.96) and chemotherapy (OR=0.92, 95% CI: 0.85-0.99). Living in CTs with lower educational levels was associated with decreasing odds of receiving both surgery (lowest educational level OR=0.67, 95% CI: 0.59-0.75) and chemotherapy (lowest educational level OR=0.74, 95% CI: 0.68-0.81). Living in areas with higher concentration of deprivation (high level of deprivation HR=1.04, 95% CI: 1.01-1.09) and lower levels of education (lowest educational level HR=1.12, 95% CI: 1.07-1.17) was associated with poorer survival. Rural residents did not show poorer survival when treatment was controlled and they even presented a lower risk of death for early stage disease (HR=0.90, 95% CI: 0.82-0.99). CONCLUSION: This study concludes that where NSCLC patients live can, to some extent, explain treatment and prognostic disparities. Public health practitioners and policy makers should be cognizant of the importance of where people live and shift their efforts to improve lung cancer outcomes in rural areas and neighborhoods with concentrated poverty.

Effect of comorbidity and body mass index on the survival of African-American and Caucasian patients with colon cancer.

BACKGROUND: There is a survival disparity between African Americans and Caucasians who have colon cancer. The objectives of the current study were to quantify the impact of comorbidity and body mass index (BMI) on survival and to assess whether these 2 variables account for the decreased survival among African Americans. METHODS: Data from patients (n=496) who underwent surgery for a first primary colon cancer at the University of Alabama at Birmingham Hospital from 1981 to 2002 were analyzed. Hazard ratios (HRs) with 95% confidence intervals (CI) were obtained using Cox proportional hazards models for the association of race, comorbidity, BMI, and covariates with all-cause mortality. The confounding influence of comorbidity and BMI for the increased risk of death associated with African-American race was evaluated, and effect modification by disease stage for the association of comorbidity and BMI with mortality also was assessed. RESULTS: African Americans experienced an increased risk of death compared with Caucasians (HR, 1.34; 95% CI, 1.06-1.68). The highest comorbidity burden was associated with an increased risk of all-cause mortality (HR, 1.63; 95% CI, 1.24-2.15). For BMI, being underweight increased the risk of death (HR, 1.54; 95% CI, 0.96-2.45); however, being overweight/obese was protective (HR, 0.77; 95% CI, 0.61-0.97). The effect of comorbidity was observed among those with early stage tumors, whereas the effect of BMI was confined to patients who had advanced tumors. CONCLUSIONS: Although comorbidity and BMI had an impact on the survival of patients with colon cancer after surgery, these variables were not contributing factors to the decreased survival observed among African Americans.