Significance of increasing poverty levels for determining late-stage breast cancer diagnosis in 1990 and 2000

Trend in cancer incidence in Mato Grosso and its health regions, Brazil, 2001-2018

BACKGROUND

Given the lack of published evidence on cancer incidence trends in Mato Grosso disaggregated by health regions, this study aimed to analyze the temporal trends in cancer incidence across the health regions of Mato Grosso.

METHODS

Time series study that used data from the Population-Based Cancer Registry of Mato Grosso (2001-2018) to analyze cancer incidence trends. Age-standardized incidence rates were calculated and analyzed by year, sex, health regions, and primary cancer sites. Trends were estimated using the Joinpoint regression method, evaluating annual percentage changes (APC) and the average annual percentage change (AAPC) with a confidence interval of 95.0%.

RESULTS

Among men, an increasing trend was observed for prostate cancer in the state (APC: 2.6) from 2001 to 2013, as well as in the Baixada Cuiabana (AAPC: 3.5) and Middle North (APC: 5.5) regions from 2001 to 2015, having oscillated in three other regions and decreasing for lung cancer in the state (APC: -4.2) during 2001-2009 and 2012-2018, in Baixada Cuiabana (AAPC: -2.4), and Garças Araguaia (AAPC: -3.8), and cancers of the oral cavity (AAPC: -2.3) and stomach (AAPC: -3.5) in the state. Among women, a decreasing trend was observed for cervical cancer (AAPC: -6.8) both in the state and in all regions reporting cases. A decreasing trend was also noted for breast cancer in the state (APC: -3.6) from 2001 to 2009, with an increasing trend in the Southwest (AAPC: 5.8) and Araguaia Xingu (AAPC: 5.8) regions. Lung cancer showed a decreasing trend in the state (APC: -2.7) from 2001 to 2009, while thyroid cancer exhibited an increasing trend (AAPC: 6.7).

CONCLUSION

By providing detailed information on cancer incidence trends by health region, this study underscores the need for region-specific interventions tailored to the unique magnitude of the cancer burden in each area.

Prevalência e fatores associados ao diagnóstico de câncer de mama em estágio avançado

Resumo Este estudo transversal investigou a prevalência e os fatores associados ao diagnóstico de câncer de mama em estágio avançado entre 18.890 mulheres assistidas em hospital especializado da capital do Rio de Janeiro, Brasil, entre os anos 1999 e 2016. Utilizou-se regressão de Poisson com variância robusta para estimar razões de prevalência e respectivos intervalos de 95% de confiança. Apresentaram maiores prevalências de diagnóstico nessa condição mulheres com idade entre 20-39 e 40-49 anos, de raça/cor da pele preta e parda, que viviam sem companheiro(a), procedentes de outros municípios do estado do Rio de Janeiro, que tiveram o Sistema Único de Saúde como origem do encaminhamento e que foram diagnosticadas nos sexênios 1999-2004 e 2005-2010. Em contrapartida, mulheres com idade entre 60-69 e 70-99 anos, que cursaram algum nível de escolaridade, com histórico familiar de câncer e que chegaram ao hospital com diagnóstico e sem tratamento apresentaram menores prevalências de diagnóstico em estágio avançado. Esses resultados podem ser considerados no planejamento de ações de prevenção secundária, a fim de antecipar o diagnóstico de câncer de mama dos grupos mais vulneráveis e assim colaborar para a redução da prevalência do diagnóstico em estágio avançado.

Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach

BACKGROUND

Disparities in the stage at diagnosis for breast cancer have been independently associated with various contextual characteristics. Understanding which combinations of these characteristics indicate highest risk, and where they are located, is critical to targeting interventions and improving outcomes for patients with breast cancer.

METHODS

The study included women diagnosed with invasive breast cancer between 2009 and 2018 from 680 U.S. counties participating in the Surveillance, Epidemiology, and End Results program. We used a machine learning approach called Classification and Regression Tree (CART) to identify county "phenotypes," combinations of characteristics that predict the percentage of patients with breast cancer presenting with late-stage disease. We then mapped the phenotypes and compared their geographic distributions. These findings were further validated using an alternate machine learning approach called random forest.

RESULTS

We discovered seven phenotypes of late-stage breast cancer. Common to most phenotypes associated with high risk of late-stage diagnosis were high uninsured rate, low mammography use, high area deprivation, rurality, and high poverty. Geographically, these phenotypes were most prevalent in southern and western states, while phenotypes associated with lower percentages of late-stage diagnosis were most prevalent in the northeastern states and select metropolitan areas.

CONCLUSIONS

The use of machine learning methods of CART and random forest together with geographic methods offers a promising avenue for future disparities research.

IMPACT

Local interventions to reduce late-stage breast cancer diagnosis, such as community education and outreach programs, can use machine learning and geographic modeling approaches to tailor strategies for early detection and resource allocation.

Racial/ethnic differences in patient experiences with health care in association with earlier stage at breast cancer diagnosis: findings from the SEER-CAHPS data

BACKGROUND

Black women are more likely to be diagnosed with later stage breast cancer compared to white women due to biological or access to care factors. Therefore, our objective was to identify whether racial/ethnic differences in patient experiences with healthcare are associated with stage at diagnosis.

METHODS

We used the SEER registry data linked with patient surveys from the Consumer Assessment of Healthcare Providers and Systems (CAHPS) completed prior to the diagnosis date. We examined responses about various aspects of their care such as the ability to get needed care, and to get care quickly. We used multivariable linear regression to examine racial/ethnic differences in patient experiences, and a multivariable ordinal logistic regression to determine the association between patient experiences and earlier stage at diagnosis.

RESULTS

Of the 10,144 patients, 80.7% were non-Hispanic white, 7.6% black, 7.1% Hispanic, and 4.6% Asian. After controlling for potential confounders, black patients had significantly lower mean scores for getting care quickly (β =  - 2.78), getting needed care (β =  - 2.26), getting needed prescription drugs (β =  - 3.83), and lower ratings of their health care (β =  - 2.33) compared to white patients. More importantly, we found that black patients who reported a 1-unit increase in rating of their experiences with customer service (OR 1.04, 95% CI 1.01-1.06) and the ability to get care quickly (OR 1.03, 1.01-1.05) had higher odds of earlier stage breast cancer.

CONCLUSION

Racial/ethnic minorities reported poorer patient experiences with care preceding a diagnosis of breast cancer. Better ratings among black patients were associated with earlier stage at diagnosis.

Urban Neighborhood and Residential Factors Associated with Breast Cancer in African American Women: a Systematic Review

Residential characteristics in urban neighborhoods impact health and might be important factors contributing to health disparities, especially in the African American population. The purpose of this systematic review is to understand the relationship between urban neighborhood and residential factors and breast cancer incidence and prognosis in African American women. Using PubMed and Web of Science, the existing literature was reviewed. Observational, cross-sectional, cohort, and prospective studies until February 2017 were examined. Studies including populations of African American women, setting in "urban" areas, and a measure of a neighborhood or residential factor were reviewed. Four parameters related to neighborhood or residential factors were extracted including: neighborhood socioeconomic status (nSES), residential segregation, spatial access to mammography, and residential pollution. Our analysis showed that African American women living in low nSES have greater odds of late stage diagnosis and mortality. Furthermore, African American women living in segregated areas (higher percentage of Blacks) have higher odds of late stage diagnosis and mortality compared to White and Hispanic women living in less segregated areas (lower percentage of Blacks). Late stage diagnosis was also shown to be significantly higher in areas with poor mammography access and areas with higher Black residential segregation. Lastly, residential pollution did not affect breast cancer risk in African American women. Overall, this systematic review provides a qualitative synthesis of major neighborhood and residential factors on breast cancer outcomes in African American women.

The Relationship Between the Supply of Primary Care Physicians and Measures of Breast Health Service Use

BACKGROUND

To investigate whether women are more likely to report receipt of a mammography recommendation from a doctor or mammography use if they reside in primary care service areas (PCSAs) having a greater number of clinically active primary care physicians.

MATERIALS AND METHODS

The analysis used a nationally representative sample of women, aged 40 years and above (n = 10,706 unweighted respondents), extracted from the 2005 National Health Interview Survey. The restricted geocoded addresses of the respondents were linked to PCSA data on physician density at a secure research data center. Multivariable logistic regression was used to determine whether, after adjustment, specific measures of primary care providers (e.g., the number of obstetricians and gynecologists [Ob-GyNs] per 10,000 population) were associated with either recommendation receipt or mammography use.

RESULTS

After adjusting for other factors, a one-unit increase in the PCSA number of Ob-GyNs per 10,000 population increased the odds of mammography recommendation receipt by 9% and the odds of mammography use by 9%. The ratio of international medical graduate Ob-GyNs to US-trained Ob-GyNs in a PCSA was negatively associated with mammography use.

CONCLUSION

The results from this nationwide study underscore the importance of using physician density measures estimated from within bounded medical markets, where women reside and actually seek preventive breast health services. Results support the hypothesis that PCSA physician supply is independently associated with both mammography recommendation receipt and mammography utilization.

Recent relocation and decreased survival following a cancer diagnosis

OBJECTIVE

To determine the impact of recent relocation prior to a cancer diagnosis on cancer-specific outcomes.

METHODS

We identified 272,718 patients with two different entries in the Surveillance, Epidemiology, and End Results database within 3years of each other. Those who had relocated to a different county between entries were identified and we determined the risk of stage IV disease or cancer-specific mortality among relocators and non-relocators after adjusting for other patient-specific demographic and clinical factors.

RESULTS

A total of 4639 (1.7%) patients relocated to a new county within 3years prior to a second cancer diagnosis and 268,079 (98.3%) patients did not. Patients who had relocated to a new area were more likely to be diagnosed with stage IV cancer (25.2% vs. 20.8%; adjusted odds ratio=1.27; 95% confidence interval [CI], 1.18-1.37; P<0.001), and had an increased risk of 10-year cancer-specific mortality (20.9% vs. 17.9%; adjusted hazard ratio 1.26; 95% CI, 1.17-1.36; P<0.001).

CONCLUSION

These results suggest that recent relocation to a new county prior to a cancer diagnosis is associated with an increased risk of late-stage presentation and worse cancer-specific mortality.

What Predicts an Advanced-Stage Diagnosis of Breast Cancer? Sorting Out the Influence of Method of Detection, Access to Care, and Biologic Factors

BACKGROUND

Multiple studies have yielded important findings regarding the determinants of an advanced-stage diagnosis of breast cancer. We seek to advance this line of inquiry through a broadened conceptual framework and accompanying statistical modeling strategy that recognize the dual importance of access-to-care and biologic factors on stage.

METHODS

The Centers for Disease Control and Prevention-sponsored Breast and Prostate Cancer Data Quality and Patterns of Care Study yielded a seven-state, cancer registry-derived population-based sample of 9,142 women diagnosed with a first primary in situ or invasive breast cancer in 2004. The likelihood of advanced-stage cancer (American Joint Committee on Cancer IIIB, IIIC, or IV) was investigated through multivariable regression modeling, with base-case analyses using the method of instrumental variables (IV) to detect and correct for possible selection bias. The robustness of base-case findings was examined through extensive sensitivity analyses.

RESULTS

Advanced-stage disease was negatively associated with detection by mammography (P < 0.001) and with age < 50 (P < 0.001), and positively related to black race (P = 0.07), not being privately insured [Medicaid (P = 0.01), Medicare (P = 0.04), uninsured (P = 0.07)], being single (P = 0.06), body mass index > 40 (P = 0.001), a HER2 type tumor (P < 0.001), and tumor grade not well differentiated (P < 0.001). This IV model detected and adjusted for significant selection effects associated with method of detection (P = 0.02). Sensitivity analyses generally supported these base-case results.

CONCLUSIONS

Through our comprehensive modeling strategy and sensitivity analyses, we provide new estimates of the magnitude and robustness of the determinants of advanced-stage breast cancer.

IMPACT

Statistical approaches frequently used to address observational data biases in treatment-outcome studies can be applied similarly in analyses of the determinants of stage at diagnosis. Cancer Epidemiol Biomarkers Prev; 25(4); 613-23. ©2016 AACR.

Improving breast cancer services for African-American women living in St. Louis

A mixed methods, community-based research study was conducted to understand how provider-level factors contribute to the African-American and white disparity in breast cancer mortality in a lower socioeconomic status area of North St. Louis. This study used mixed methods including: (1) secondary analysis of Missouri Cancer Registry data on all 885 African-American women diagnosed with breast cancer from 2000 to 2008 while living in the geographic area of focus; (2) qualitative interviews with a subset of these women; (3) analysis of data from electronic medical records of the women interviewed; and (4) focus group interviews with community residents, patient navigators, and other health care professionals. 565 women diagnosed with breast cancer from 2000 to 2008 in the geographic area were alive at the time of secondary data analysis; we interviewed (n = 96; 17 %) of these women. Provider-level obstacles to completion of prescribed treatment included fragmented navigation (separate navigators at Federally Qualified Health Centers, surgical oncology, and medical oncology, and no navigation services in surgical oncology). Perhaps related to the latter, women described radiation as optional, often in the same words as they described breast reconstruction. Discontinuous and fragmented patient navigation leads to failure to associate radiation therapy with vital treatment recommendations. Better integrated navigation that continues throughout treatment will increase treatment completion with the potential to improve outcomes in African Americans and decrease the disparity in mortality.

Geographic disparities in late stage breast cancer incidence: results from eight states in the United States

Background

Late stage of cancer at diagnosis is an important predictor of cancer mortality. In many areas worldwide, cancer registry systems, available data and mapping technologies can provide information about late stage cancer by geographical regions, offering valuable opportunities to identify areas where further investigation and interventions are needed. The current study examined geographical variation in late stage breast cancer incidence across eight states in the United States with the objective to identify areas that might benefit from targeted interventions.

Methods

Data from the Surveillance Epidemiology and End Results Program on late stage breast cancer incidence was used as dependent variable in regression analysis and certain factors known to contribute to high rates of late stage cancer (socioeconomic characteristics, health insurance characteristics, and the availability and utilization of cancer screening) as covariates. Geographic information systems were used to map and highlight areas that have any combination of high late stage breast cancer incidence and significantly associated risk factors.

Results

The differences in mean rates of late stage breast cancer between eight states considered in this analysis are statistically significant. Factors that have statistically negative association with late stage breast cancer incidence across the eight states include: density of mammography facilities, percent population with Bachelor’s degree and English literacy while percent black population has statistically significant positive association with late stage breast cancer incidence.

Conclusions

This study describes geographic disparities in late stage breast cancer incidence and identifies areas that might benefit from targeted interventions. The results suggest that in the eight US states examined, higher rates of late stage breast cancer are more common in areas with predominantly black population, where English literacy, percentage of population with college degree and screening availability are low. The approach described in this work may be utilized both within and outside US, wherever cancer registry systems and technologies offer the same opportunity to identify places where further investigation and interventions for reducing cancer burden are needed.

Determinants of advanced stage presentation of breast cancer in 87,969 Brazilian women

BACKGROUND

Breast cancer is commonly diagnosed at an advanced stage in Brazil.

AIM

Analyze the determinants of advanced staging in Brazilian women with breast cancer.

METHODS

Crosssectional study, including women diagnosed with breast cancer in Brazil, between 2000 and 2009.

RESULTS

A total of 59,317 women were included, 53.5% being classified as advanced stage (≥IIB). Younger age (18 to 49 years old) (OR=1.61 95% CI 1.51 to 1.72) or between 40 and 49 years old (OR=1.08 95% CI 1.03 to 1.14), having low educational level (OR=1.53 95% CI 1.48 to 1.58), living in less developed geographical regions (OR=1.27 95% CI 1.21 to 1.33), having invasive ductal carcinoma (OR=2.70 95% CI 2.56 to 2.84) and invasive lobular carcinoma (OR=2.63 95% CI 2.42 to 2.86) were associated with advanced breast cancer.

CONCLUSION

We conclude that future interventions should focus on these high risk groups.

Is Availability of Mammography Services at Federally Qualified Health Centers Associated with Breast Cancer Mortality-to-Incidence Ratios? An Ecological Analysis

OBJECTIVE

Mammography is the most effective method to detect breast cancer in its earliest stages, reducing the risk of breast cancer death. We investigated the relationship between accessibility of mammography services at Federally Qualified Health Centers (FQHCs) and mortality-to-incidence ratio (MIR) of breast cancer in each county in the United States.

METHODS

County-level breast cancer mortality and incidence rates in 2006-2010 were used to estimate MIRs. We compared breast cancer MIRs based on the density and availability of FQHC delivery sites with or without mammography services both in the county and in the neighboring counties.

RESULTS

The relationship between breast cancer MIRs and access to mammography services at FQHCs differed by race and county of residence. Breast cancer MIRs were lower in counties with mammography facilities or FQHC delivery sites than in counties without a mammography facility or FQHC delivery site. This trend was stronger in urban counties (p=0.01) and among whites (p=0.008). Counties with a high density of mammography facilities had lower breast cancer MIRs than other counties, specifically in urban counties (p=0.01) and among whites (p=0.01). Breast cancer MIR for blacks was the lowest in counties having mammography facilities; and was highest in counties without a mammography facility within the county or the neighboring counties (p=0.03).

CONCLUSIONS

Mammography services provided at FQHCs may have a positive impact on breast cancer MIRs. Expansion of services provided at the FQHCs and placement of FQHCs in additional underserved areas might help to reduce cancer disparities in the United States.

Mind the gap: racial differences in breast cancer incidence and biologic phenotype, but not stage, among low-income women participating in a government-funded screening program

Breast cancer mortality rates in South Carolina (SC) are 40 % higher among African-American (AA) than European-American (EA) women. Proposed reasons include race-associated variations in care and/or tumor characteristics, which may be subject to income effects. We evaluated race-associated differences in tumor biologic phenotype and stage among low-income participants in a government-funded screening program. Best Chance Network (BCN) data were linked with the SC Central Cancer Registry. Characteristics of breast cancers diagnosed in BCN participants aged 47-64 years during 1996-2006 were abstracted. Race-specific case proportions and incidence rates based on estrogen receptor (ER) status and histologic grade were estimated. Among 33,880 low-income women accessing BCN services, repeat breast cancer screening utilization was poor, especially among EAs. Proportionally, stage at diagnosis did not differ by race (607 cancers, 53 % among AAs), with about 40 % advanced stage. Compared to EAs, invasive tumors in AAs were 67 % more likely (proportions) to be of poor-prognosis phenotype (both ER-negative and high-grade); this was more a result of the 46 % lesser AA incidence (rates) of better-prognosis (ER+ lower-grade) cancer than the 32 % greater incidence of poor-prognosis disease (p values <0.01). When compared to the general SC population, racial disparities in poor-prognostic features within the BCN population were attenuated; this was due to more frequent adverse tumor features in EAs rather than improvements for AAs. Among low-income women in SC, closing the breast cancer racial and income mortality gaps will require improved early diagnosis, addressing causes of racial differences in tumor biology, and improved care for cancers of poor-prognosis biology.