Effect of socioeconomic status as measured by education level on survival in breast cancer clinical trials

The association between education and premature mortality in the Chinese population: a 10-year cohort study

Background

Recent studies have shown significant associations between education and premature mortality. However, the relationship differs across countries. We aimed to present the latest evidence on the educational inequalities in premature mortality in the Chinese population.

Methods

We linked two databases, to establish a population-based, ten-year cohort spanning 2010 to 2020. Cox proportional hazard regression analyses adjusting for age, sex and urbanicity were conducted for all-cause mortality, and competing risk models were fitted for cause-specific mortality. We calculated population attributable fraction (PAF) using the hazard ratios (HRs) obtained by regression analyses. Additionally, we fitted models adjusting for risk factors and investigated the mediating effect of income, smoking, alcohol consumption and diets.

Findings

Compared with individuals with upper secondary and above education, the HR for premature all-cause mortality for those with less than primary education was 1.93 (95% CI: 1.72-2.19). The HRs were the highest for deaths from respiratory diseases (HR = 3.09, 95% CI 1.82-5.27). The excess risk of premature mortality associated with low education was higher among women and urban population. The association of education remained significant after accounting for risk factors, and income was the main mediator, which accounted for 23.0% of mediation in men and 11.1% in women.

Interpretation

The study's findings support the increased risk of premature mortality associated with low education, particularly in women and urban populations. The considerable number of deaths attributed to educational inequality underscores the necessity for more effective and targeted public health interventions.

Funding

Chinese Central Government.

Evaluation Factors Affecting on Recurrence, Metastasis, and Survival of Breast Cancer in Iranian Women by Multi-State Model Approach

Background

We used the multistate model to investigate how prognostic factors of breast cancer are seen to affect the disease process.

Methods

This cohort study was conducted at Motamed Cancer Institute of Tehran, Iran on 2363 breast cancer patients admitted from 1978 to 2017, and they were followed up until 2018. We applied the multistate models, including four states: diagnosis, recurrence, metastasis, and final absorbing mortality state.

Results

Age over 50 years, positive lymph nodes and tumor size intensified the hazard of transition from diagnosis to metastasis (P=0.002, P<0.001 and P=0.001 respectively) and they also intensified the hazard of transition from diagnosis to mortality (P=0.010, P<0.001 and P<0.001 respectively). At the same time, the educational level decreased the hazard of mentioned transitions (P<0.001). Positive estrogen receptors reduced the hazard of transition from diagnosis to metastasis (P=0.007) and positive lymph nodes also intensified the hazard of transition from metastasis to mortality (P=0.040). Tumor size had an increasing role in the transitions from diagnosis to recurrence, recurrence to metastasis, and metastasis to mortality (P=0.014, P=0.018 and P=0.002 respectively).

Conclusion

Multistate model presented the detailed effects of prognostic factors on progression of breast cancer. Implementing early diagnosis strategies and providing informational programs, especially in younger ages and lower educational level patients may be helpful in reducing the hazard of transition to higher states of breast cancer and increasing the survival of Iranian women with breast cancer by controlling tumor size growth, lymph nodes involvements and estrogen receptor status.

Sociodemographic Barriers to Physical Activity and Healthy Diet Through Social Networks in Mexican Breast Cancer Survivors

Introduction Female breast cancer (BC) survivors are affected by poor eating habits and physical inactivity due to certain environmental, physical, and social barriers to healthy lifestyles. This study aimed to identify the sociodemographic, physical, and economic barriers hindering the adoption of physical activity (PA) and a healthy diet, as well as providing insights into how BC survivors cope with these barriers using social networks. Methods A cross-sectional mixed-methods study was conducted, with a self-administered questionnaire and open-ended questions to determine the barriers to PA and healthy eating, while in the second phase, an interpretive qualitative study was carried out with semi-structured interviews. Descriptive statistics, odds ratios (ORs), correspondence analysis, and multivariate analysis were used to estimate the association between moderate to vigorous PA and fruit and vegetable consumption and BC covariates. Results During the COVID-19 lockdown, 150 Mexican BC survivors were studied. The multivariate analysis showed that age (OR = 2.7, 95% CI: 1.0 to 7.03), socioeconomic level (OR = 3.2, 95% CI: 1.3 to 8.2), and overweight (OR = 3.6, 95% CI: 1.5 to 9.7) were significantly associated with low schooling. BC diagnosis of less than three years and age > 40 years were associated with lack of exercise. Survivors individually addressed the challenges associated with BC without the support of specialists. As a result, they sought information on social networks. Conclusions Regarding BC survivors, age > 40 years, low socioeconomic status, and being overweight were important gaps to PA and a healthy diet. In the testimonials, the primary obstacle to engaging in PA was lack of time, while the high cost of food was the most frequently cited reason for not following a healthy diet. Many of the individuals maintained a poor diet with a low intake of fruits and vegetables. Thus, appropriate information must be provided using technologies to develop skills to deal with BC.

Assessing Multiple Factors Affecting Minority Participation in Clinical Trials: Development of the Clinical Trials Participation Barriers Survey

The purpose of this review is to analyze factors that influence individuals' decisions to participate in clinical trials focusing on racial and ethnic disparities that exist in clinical trials. These factors are then used to develop a survey that may be used in a clinical setting to further understand specific factors affecting participation. A comprehensive search of electronic databases was carried out for publications from 2010 to 2021 using Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. After reviewing the data, the predominant factors that were encountered in the search were then commented upon and reviewed to create an evidence-based questionnaire. ​​​​Using the comprehensive search, factors that affect clinical trial participation were identified. These factors were then used to create a comprehensive, evidence-based questionnaire to be implemented in a clinical setting to conduct and analyze the factors impacting participation in clinical trials. ​​​​​​​Understanding the factors that primarily impact an individual's decisions to participate or not participate in a clinical trial allow researchers to implement changes to decrease the hesitancy regarding participation. 

Survival of Black and White Patients With Stage IV Small Cell Lung Cancer

Background

Small cell lung cancer (SCLC) is associated with aggressive biology and limited treatment options, making this disease a historical challenge. The influence of race and socioeconomic status on the survival of stage IV SCLC remains mostly unknown. Our study is designed to investigate the clinical survival outcomes in Black and White patients with stage IV SCLC and study the demographic, socioeconomic, clinical features, and treatment patterns of the disease and their impact on survival in Blacks and Whites.

Methods and Results

Stage IV SCLC cases from the National Cancer Database (NCDB) diagnosed between 2004 and 2014 were obtained. The follow-up endpoint is defined as death or the date of the last contact. Patients were divided into two groups by white and black. Features including demographic, socioeconomic, clinical, treatments and survival outcomes in Blacks and Whites were collected. Mortality hazard ratios of Blacks and Whites stage IV SCLC patients were analyzed. Survival of stage IV SCLC Black and White patients was also analyzed. Adjusted hazard ratios were analyzed by Cox proportional hazards regression models. Patients’ median follow-up time was 8.18 (2.37-15.84) months. Overall survival at 6, 12, 18 and 24 months were 52.4%, 25.7%, 13.2% and 7.9% in Blacks in compared to 51.0%, 23.6%, 11.5% and 6.9% in Whites. White patients had significantly higher socioeconomic status than Black patients. By contrast, Blacks were found associated with younger age at diagnosis, a significantly higher chance of receiving radiation therapy and treatments at an academic/research program. Compared to Whites, Blacks had a 9% decreased risk of death.

Conclusion

Our study demonstrated that Blacks have significant socioeconomic disadvantages compared to Whites. However, despite these unfavorable factors, survival for Blacks was significantly improved compared to Whites after covariable adjustment. This may be due to Blacks with Stage IV SCLC having a higher chance of receiving radiation therapy and treatments at an academic/research program. Identifying and removing the barriers to obtaining treatments at academic/research programs or improving the management in non-academic centers could improve the overall survival of stage IV SCLC.

Association of Breast Tumour Expression of Cannabinoid Receptors CBR1 and CBR2 with Prognostic Factors and Survival in Breast Cancer Patients

Cannabinoid receptors (CBR) are potential therapeutic targets for breast cancer. However, the role of CBR in breast cancer survival remains poorly understood. Data from a prospective cohort of 522 women diagnosed with invasive breast cancer between 2010 and 2012 were analysed. Clinical and pathological features were retrieved from electronic medical records. CBR expression was measured by immunohistochemistry. Adjusted partial Spearman correlations and multivariate Cox models were used to estimate associations with breast cancer prognostic factors and survival, respectively. The median follow-up was 92.0 months (range 7.0-114.0). CBR expression was heterogenous in tumours. Cytoplasmic expression of CBR1 was positively correlated with lymph node invasion (r_s = 0.110; p = 0.0155) and positive status of the human epidermal growth factor receptor 2 (HER2) (r_s = 0.168; p = 0.0002), while nuclear CBR2 was negatively correlated with grade (r_s = -0.171; p = 0.0002) and positively correlated with oestrogen receptor and progesterone receptor-positive status (r_s = 0.173; p = 0.0002 and r_s = 0.121; p = 0.0084, respectively). High cytoplasmic expression of CBR2 was associated, with 13% higher locoregional and distant recurrences (HR = 1.13 [0.97-1.33]), though this association did not reach statistical significance. Although the few events occurring during follow-up may have limited the detection of significant associations, these results indicate that CBR expression in breast cancer deserves further investigation.

Relationship of Socio Economic Status, Income, and Education with the Survival Rate of Breast Cancer: A Meta-Analysis

BACKGROUND

Despite our awareness of the significant effect of Social Determinant of Health (SDoH) such as Socio Economic Status (SES), income and education on breast cancer survival, there was a serious lack of information about the effect of different level of these factors on breast cancer survival. So far, no meta-analysis has been conducted with this aim, but this gap was addressed by this meta-analysis.

METHODS

Main electronic databases such as PubMed, Web of Science, and Scopus were investigated up to January 2019. Epidemiological studies focusing on the association between SDoH and breast cancer were singled out. Q-test and I² statistic were used to study the heterogeneity across studies. Begg's and Egger's tests were applied to explore the likelihood of the publication bias. The results were reported as hazard ratio (HR) with 95% confidence intervals (CI) through a random-effects model.

RESULTS

We identified 7,653 references and included 25 studies involving 1,497,881 participants. The HR estimate of breast cancer survival was 0.82 (0.67, 0.98) among high level of SES, 0.82 (0.70, 0.94) among high level of income and 0.72 (0.66, 0.78) among academic level of education.

CONCLUSION

The SES, income, and education were associated with breast cancer survival, although the association was not very strong. However, there was a significant association between the levels of these factors and breast cancer survival.

Racial/ethnic differences in survival for patients with gliosarcoma: an analysis of the National cancer database

PURPOSE

Gliosarcoma is characterized by the World Health Organization as a Grade IV malignant neoplasm and a variant of glioblastoma. The association of race and ethnicity with survival has been established for numerous CNS malignancies, however, no epidemiological studies have reported these findings for patients with gliosarcoma. The aim of this study was to examine differences by race and ethnicity in overall survival, 30-day mortality, 90-day mortality, and 30-day readmission.

METHODS

Data were obtained by query of the National Cancer Database (NCDB) for years 2004-2014. Patients with gliosarcoma were identified by International Classification of Diseases for Oncology, Third Edition (ICD-O-3)-Oncology morphologic code 9442/3 and topographical codes C71.0-C71.9. Differences in survival by race/ethnicity were examined using univariable and multivariable Cox proportional hazards models. Readmission and mortality outcomes were examined with univariable and multivariable logistic regression.

RESULTS

A total of 1988 patients diagnosed with gliosarcoma were identified (White Non-Hispanic n = 1,682, Black Non-Hispanic n = 165, Asian n = 40, Hispanic n = 101). There were no differences in overall survival, 30- and 90-day mortality, or 30-day readmission between the races and ethnicities examined. Median survival was 10.4 months for White Non-Hispanics (95% CI 9.8, 11.2), 10.2 months for Black Non-Hispanics (95% CI 8.6, 13.1), 9.0 months for Asian Non-Hispanics (95% CI 5.1, 18.2), and 10.6 months for Hispanics (95% CI 8.3,16.2). 7.3% of all patients examined had an unplanned readmission within 30 days.

CONCLUSION

Race/ethnicity are not associated with differences in overall survival, 30-day mortality, 90-day mortality, or 30-day readmission following surgical intervention for gliosarcoma.

Assessment of the fitness of Cox and parametric regression models of survival distribution for Iranian breast cancer patients' data

Factors affecting the time of survival after breast cancer (BC) diagnosis remain unknown. However, some of the prognostic factors have been identified. The aim of this study was to investigate the effects of biologic and socioeconomic factors on long-term survival of BC patients. This was a descriptive chart review and survey of all women with a confirmed diagnosis of BC registered in Shohada-e-Tajrish Cancer Research Center database from March 2004 to March 2015. The checklist of study consisted of biologic, demographic, reproductive, genetic, medical, and therapeutic information of patients. The minimum time of follow-up was 3 years and the maximum was 10 years. We then evaluated possible associations of these variables with BC survival using Cox and parametric regression models of survival analysis. The study population was 1276 BC patients. Their mean survival was 23 (range 1–120) months. Between the parametric models, Weibull regression model demonstrated the lowest Akaike information criterion and thus the best fit, and tumor size, number of lymph nodes, BC stage, educational level, and high-fat diet were significant in this model. Based on our findings, educational level, consumption of fat, and characteristics of tumor at the time of diagnosis (disease stage, tumor size, number of involved lymph nodes) are the most important prognostic factors affecting long-term survival of BC patients. We suggest that future studies assess the efficacy of possible interventions for these factors.

Disparities in Breast Cancer Survival by Socioeconomic Status Despite Medicare and Medicaid Insurance

Policy Points Patients with low socioeconomic status (SES) experience poorer survival rates after diagnosis of breast cancer, even when enrolled in Medicare and Medicaid. Most of the difference in survival is due to more advanced cancer on presentation and the general poor health of lower SES patients, while only a very small fraction of the SES disparity is due to differences in cancer treatment. Even when comparing only low- versus not-low-SES whites (without confounding by race) the survival disparity between disparate white SES populations is very large and is associated with lower use of preventive care, despite having insurance.

CONTEXT

Disparities in breast cancer survival by socioeconomic status (SES) exist despite the "safety net" programs Medicare and Medicaid. What is less clear is the extent to which SES disparities affect various racial and ethnic groups and whether causes differ across populations.

METHODS

We conducted a tapered matching study comparing 1,890 low-SES (LSES) non-Hispanic white, 1,824 black, and 723 Hispanic white women to 60,307 not-low-SES (NLSES) non-Hispanic white women, all in Medicare and diagnosed with invasive breast cancer between 1992 and 2010 in 17 US Surveillance, Epidemiology, and End Results (SEER) regions. LSES Medicare patients were Medicaid dual-eligible and resided in neighborhoods with both high poverty and low education. NLSES Medicare patients had none of these factors.

MEASUREMENTS

5-year and median survival.

FINDINGS

LSES non-Hispanic white patients were diagnosed with more stage IV disease (6.6% vs 3.6%; p < 0.0001), larger tumors (24.6 mm vs 20.2 mm; p < 0.0001), and more chronic diseases such as diabetes (37.8% vs 19.0%; p < 0.0001) than NLSES non-Hispanic white patients. Disparity in 5-year survival (NLSES - LSES) was 13.7% (p < 0.0001) when matched for age, year, and SEER site (a 42-month difference in median survival). Additionally, matching 55 presentation factors, including stage, reduced the disparity to 4.9% (p = 0.0012), but further matching on treatments yielded little further change in disparity: 4.6% (p = 0.0014). Survival disparities among LSES blacks and Hispanics, also versus NLSES whites, were significantly associated with presentation factors, though black patients also displayed disparities related to initial treatment. Before being diagnosed, all LSES populations used significantly less preventive care services than matched NLSES controls.

CONCLUSIONS

In Medicare, SES disparities in breast cancer survival were large (even among non-Hispanic whites) and predominantly related to differences of presentation characteristics at diagnosis rather than differences in treatment. Preventive care was less frequent in LSES patients, which may help explain disparities at presentation.

Association of low socioeconomic status and physician assessment of disease severity with oral health-related quality of life in patients with systemic sclerosis: a pilot study from Croatia, a country in transition

Objective

This study was performed to identify a possible association of the clinical parameters of systemic sclerosis (SSc) and the socioeconomic status (SES) with oral health-related quality of life (OHrQoL) as measured by the Oral Health Impact Profile 49 (OHIP 49), taking into account the effect of educational level (as a proxy of SES) on oral health.

Methods

Subjects were recruited from the Croatian SSc Center of Excellence cohort. Detailed dental and clinical examinations were performed according to standardized protocols. The associations of OHrQoL with disease characteristics and socioeconomic status were examined.

Results

Thirty-one consecutive patients with SSc were enrolled (29 women; mean age, 56.45 ± 13.60 years). OHIP 49 scores were significantly correlated with disease activity and severity. Furthermore, OHrQoL was positively correlated with skin involvement as evaluated by the modified Rodnan skin score. Impaired OHrQoL was positively correlated with the severity of general, skin, gastrointestinal, and joint/tendon involvement. The OHIP 49 score differed between patients who were positive and negative for anti-topoisomerase I antibody. Higher OHIP 49 scores were detected in patients with lower SES (primary school educational level).

Conclusion

Collaboration between rheumatologists and dental professionals is required to improve dental care and oral health outcomes of SSc.

Literature review of data-based models for identification of factors associated with racial disparities in breast cancer mortality

In the United States, early detection methods have contributed to the reduction of overall breast cancer mortality but this pattern has not been observed uniformly across all racial groups. A vast body of research literature shows a set of health care, socio-economic, biological, physical, and behavioural factors influencing the mortality disparity. In this paper, we review the modelling frameworks, statistical tests, and databases used in understanding influential factors, and we discuss the factors documented in the modelling literature. Our findings suggest that disparities research relies on conventional modelling and statistical tools for quantitative analysis, and there exist opportunities to implement data-based modelling frameworks for (1) exploring mechanisms triggering disparities, (2) increasing the collection of behavioural data, and (3) monitoring factors associated with the mortality disparity across time.

Relationship of Social Determinants of Health with the Three-year Survival Rate of Breast Cancer

Background: Social determinants of health are among the key factors affecting the pathogenesis of diseases. Considering the increasingly high prevalence of breast cancer and the association of social determinants of health with its occurrence, related morbidity and mortality and survival rate, this study sought to assess the relationship of three-year survival rate of breast cancer with social determinants of health. Materials and Methods: This cohort study was conducted on males and females presenting to the Cancer Research Center of Shohada-E-Tajrish Hospital from 2006 to 2010 with definite diagnosis of breast cancer. Data were collected via phone interviews. Kaplan-Meier and Cox regression was fitted using SPSS (version 18) and PH assumption was tested by STATA (version 11) software. Results: The study was performed on 797 breast cancer patients, aged 25-93 years with mean age of 54.66 (SD=11.86) years. After 3 years from diagnosing cancer 700 (87.8%) patients were alive and 97 (12.2%) patients were dead. Using log rank test, there was relationship between 3-year survivals with age, education, childhood residence, sibling, treatment type, and district were significant (p<0.05). Using Cox PH regression, 3-year survival was related to age, level of education, municipal district of residence and childhood condition (p<0.05). Conclusion: Social determinants of health such as childhood condition, city region residency, level of education and age affect the three-year survival rate of breast cancer. Future studies must focus on the effect of childhood social class on the survival rates of cancers, which have been paid less attention to.

Increased breast cancer mortality only in the lower education group: age-period-cohort effect in breast cancer mortality by educational level in South Korea, 1983-2012

BACKGROUND

A steadily increasing pattern of breast cancer mortality has been reported in South Korea since the late 1980s. This paper explored the trends of educational inequalities of female breast cancer mortality between 1983 and 2012 in Korea, and conducted age-period-cohort (APC) analysis by educational level.

METHODS

Age-standardized mortality rates of breast cancer per 100,000 person-years were calculated. Relative index of inequality (RII) for breast cancer mortality was used as an inequality measure. APC analyses were conducted using the Web tool for APC analysis provided by the Division of Cancer Epidemiology and Genetics at the U.S. National Cancer Institute.

RESULTS

An increasing trend in breast cancer mortality among Korean women between 1983 and 2012 was due to the increased mortality of the lower education groups (i.e., no formal education or primary education and secondary education groups), not the highest education group. The breast cancer mortality was higher in women with a tertiary education than in women with no education or a primary education during 1983-1992, and the reverse was true in 1993-2012. Consequently, RII was changed from positive to negative associations in the early 2000s. The lower education groups had the increased breast cancer mortality and significant cohort and period effects between 1983 and 2012, whereas the highest group did not.

CONCLUSIONS

APC analysis by socioeconomic position used in this study could provide an important clue for the causes on breast cancer mortality. The long-term monitoring of socioeconomic patterning in breast cancer risk factors is urgently needed.

Risk factors for delay of adjuvant chemotherapy in non-metastatic breast cancer patients: A systematic review and meta-analysis involving 186982 patients

Purpose

Delay performance of adjuvant chemotherapy (AC) after surgery has been presented to affect survival of breast cancer patients adversely, but the risk factors for delay in initiation remain controversial. Therefore, we conducted this systematic review of the literature and meta-analysis aiming at identifying the risk factors for delay of adjuvant chemotherapy (DAC) in non-metastatic breast cancer patients.

Methods

The search was performed on PubMed, Embase, Chinese National Knowledge Infrastructure and Wanfang Database from inception up to July 2016. DAC was defined as receiving AC beyond 8-week after surgery. Data were combined and analyzed using random-effects model or fixed-effects model for risk factors considered by at least 3 studies. Heterogeneity was analyzed with meta-regression analysis of year of publication and sample size. Publication bias was studied with Egger’s test.

Results

A total of 12 observational studies including 186982 non-metastatic breast cancer patients were eligible and 12 risk factors were analyzed. Combined results demonstrated that black race (vs white; OR, 1.18; 95% CI, 1.01–1.39), rural residents (vs urban; OR, 1.60; 95% CI, 1.27–2.03) and receiving mastectomy (vs breast conserving surgery; OR, 1.35; 95% CI, 1.00–1.83) were significantly associated with DAC, while married patients (vs single; OR, 0.58; 95% CI, 0.38–0.89) was less likely to have a delay in initiation. No significant impact from year of publication or sample size on the heterogeneity across studies was found, and no potential publication bias existed among the included studies.

Conclusions

Risk factors associated with DAC included black race, rural residents, receiving mastectomy and single status. Identifying of these risk factors could further help decisions making in clinical practice.

Education Level Is a Strong Prognosticator in the Subgroup Aged More Than 50 Years Regardless of the Molecular Subtype of Breast Cancer: A Study Based on the Nationwide Korean Breast Cancer Registry Database

Purpose

This study investigated the role of the education level (EL) as a prognostic factor for breast cancer and analyzed the relationship between the EL and various confounding factors.

Materials and Methods

The data for 64,129 primary breast cancer patients from the Korean Breast Cancer Registry were analyzed. The EL was classified into two groups according to the education period; the high EL group (≥ 12 years) and low EL group (< 12 years). Survival analyses were performed with respect to the overall survival between the two groups.

Results

A high EL conferred a superior prognosis compared to a low EL in the subgroup aged > 50 years (hazard ratio, 0.626; 95% confidence interval [CI], 0.577 to 0.678) but not in the subgroup aged ≤ 50 years (hazard ratio, 0.941; 95% CI, 0.865 to 1.024). The EL was a significant independent factor in the subgroup aged > 50 years according to multivariate analyses. The high EL group showed more favorable clinicopathologic features and a higher proportion of patients in this group received lumpectomy, radiation therapy, and endocrine therapy. In the high EL group, a higher proportion of patients received chemotherapy in the subgroups with unfavorable clinicopathologic features. The EL was a significant prognosticator across all molecular subtypes of breast cancer.

Conclusion

The EL is a strong independent prognostic factor for breast cancer in the subgroup aged > 50 years regardless of the molecular subtype, but not in the subgroup aged ≤ 50 years. Favorable clinicopathologic features and active treatments can explain the main causality of the superior prognosis in the high EL group.

Social Determinants of Health: A Framework for Studying Cancer Health Disparities and Minority Participation in Research

The theory of social determinants of health (SDH) posits that the health of people and communities is affected by social and economic factors (i.e., economic stability, education, neighborhood and built environment, health and health care, and social and community context). These interrelated constructs may negatively affect minority patients’ ability to participate in cancer research. Understanding SDH can help nurse researchers assess and address barriers to research participation, as well as design trials to improve minority patients’ cancer-related health.

Sociodemographic Factors and Late-stage Diagnosis of Breast Cancer in India: A Hospital-based Study

Context:

Breast cancer (BC) is one of the major causes of cancer mortality in India. Late-stage diagnosis of BC is associated with poor survival. Identification of factors affecting late presentation of the disease could be an effective step to reduce BC mortality.

Aims:

To study the association of sociodemographic factors with BC stage at diagnosis.

Settings and Design:

The study is a retrospective analysis from the case records from a single institution.

Subjects and Methods:

Data for the year 2008 was collected from the hospital records. A total of 1210 cases were included for the analysis. Sociodemographic factors included were age, place of residence, religion, marital status, level of education, and occupation. Other study variables were family history, presence of comorbidity, and stage at diagnosis.

Statistical Analysis:

Association between sociodemographic factors by stage at diagnosis was tested using Chi-square statistics, with odds ratios (ORs) estimated through logistic regression modeling.

Results:

In the study cohort, 46% patients had reported at early stages and 54% at advanced stages. All factors were evaluated for being predictors of disease stage at presentation using univariate and multivariate logistic regression model. Women from urban background were less likely to present with advanced stage disease (OR = 0.64; 95% confidence interval [CI]: 0.49–0.84) as compared to rural women. Similarly, illiterate women were also more likely to present with advanced-stage disease (OR = 1.55; 95% CI: 1.16–2.09).

Conclusions:

This data clearly indicate that the patients of rural background and of low education status are more likely than their respective counterparts to have an advanced stage of BC diagnosis. Our results may be considered the keys to determining how stage variation may be related to patients and community characteristics and where limited resources need to be invested to ensure early diagnosis of BC.

Socioeconomic status does not affect prognosis in patients with glioblastoma multiforme

Background:

Glioblastoma multiforme (GBM) is an aggressive malignancy, but there is marked heterogeneity in survival time. Health care disparities have demonstrated significance in oncologic outcomes but have not been clearly examined in this patient population. We investigated the role of sociodemographic variables in the prognosis of adult patients diagnosed with GBM.

Methods:

This retrospective analysis included patients with a histologically confirmed diagnosis of GBM, who underwent resection or biopsy at a single institution from 2000 to 2014. Socioeconomic status (SES) was determined by household income according to the US Census zip code tabulation areas and the US national poverty level. Multivariate Cox proportional hazards analysis calculated effects on patient survival.

Results:

Thirty percent of 218 subjects were of low SES, 57% mid, and 13% high. Low SES patients tended to be male (62%), Caucasian (92%), unmarried (91%), have dependents (100%), and limited to high school education (55%). SES did not predict insurance or employment status. SES was associated with marital status and number of cohabitants (P < 0.0001) but not clinical trial enrollment. Multivariate analysis demonstrated no relationship between SES and survival. Shorter prognosis was associated with history of military service (hazard ratio [HR] 2.06, P = 0.0125), elderly patients (HR 1.70, P = 0.0158), and multifocal disease (HR 1.75, P = 0.0119). Longer prognosis was associated with gross total resection (HR 0.49, P = 0.0009), radiation therapy (HR 0.12, P < 0.0001), and temozolomide (HR 0.28, P < 0.0001).

Conclusions:

SES alone does not predict prognosis in patients with newly diagnosed GBM. Sociodemographic variables such as old age, military service record, and insurance type may have a prognostication role.

Effects of reproductive and menstrual factors on survival of women with esophageal squamous cell carcinoma

AIM: To determine the effects of reproductive and menstrual factors on the survival of women with esophageal squamous cell carcinoma (ESCC).

METHODS: A total of 12041 Chinese women with ESCC were enrolled in this study, and their median age was 61 years. All patients' information was retrieved from the esophageal cancer database of Henan Key Laboratory for Esophageal Cancer Research based on the records of reproduction and menstrual history. The menopausal status was categorized as pre-, peri- and post-menopausal. Questionnaire, home interview and/or telephone were performed for survival follow-up. Cox proportional hazards regression models were used for analysis of relative risks (RRs) and 95% confidence intervals (95%CIs) to determine the effects of reproductive and menstrual factors on ESCC survival.

RESULTS: Survival analysis demonstrated that patients with increased number of pregnancy had a longer survival (RR = 1.49, 95%CI: 1.16-1.92); the prolonged survival remained in patients from the high incidence area (RR = 1.41, 95%CI: 1.03-1.86) and in patients with a negative family history (RR = 1.21, 95%CI: 1.04-1.41). Pre-menopausal patients had a longer survival than peri- and postmenopausal patients (P = 0.00); this remained in patients from the high incidence area (RR for post- vs pre-menopausal, 0.73, 95%CI: 0.62-0.86) and in patients with a negative family history (RR = 0.70, 95%CI: 0.58-0.85).

CONCLUSION: Increasing number of pregnancy and premenopausal status may be favorable factors for ESCC survival in Chinese women with ESCC.

Health disparities and cancer: racial disparities in cancer mortality in the United States, 2000-2010

Declining cancer incidence and mortality rates in the United States (U.S.) have continued through the first decade of the twenty-first century. Reductions in tobacco use, greater uptake of prevention measures, adoption of early detection methods, and improved treatments have resulted in improved outcomes for both men and women. However, Black Americans continue to have the higher cancer mortality rates and shorter survival times. This review discusses and compares the cancer mortality rates and mortality trends for Blacks and Whites. The complex relationship between socioeconomic status and race and its contribution to racial cancer disparities is discussed. Based on current trends and the potential and limitations of the patient protection and affordable care act with its mandate to reduce health care inequities, future trends, and challenges in cancer mortality disparities in the U.S. are explored.

The impact of socioeconomic status on access to cancer clinical trials

Cancer clinical trials enable the development of novel agents for the potential benefit of cancer patients. Enrolment in a trial offers patients the chance of superior efficacy coupled to the risk of unanticipated toxicity. For trial results to be generalisable, the data need to be collected in patients' representative of the general cancer population. Socioeconomic deprivation is associated with poor cancer outcomes. In the developed world, the gap between the most and least deprived is widening. This mini-review explores the evidence regarding socioeconomics and access to cancer trials, highlighting the underrepresentation of deprived patients, and exploring reasons for this disparity.

The impact of primary care physicians on follow-up care of underserved breast cancer survivors

PURPOSE

To investigate the impact of the involvement of primary care physicians (PCPs) on the receipt of preventive follow-up care after a breast cancer (BC) diagnosis among a low-income population.

METHODS

Multiple logistic regression analyses were performed to identify potential factors associated with receipt of preventive care among 579 low-income women with BC. The main outcome variables at 36 months after BC diagnosis were receipt of annual mammography, Papanicolaou smear in the past 2 years, and ever had colonoscopy for those who were at least 50 years old. The main independent variable was type of provider visit in the past 12 months.

RESULTS

Women with a PCP visit only or both PCP and surgeon/cancer specialist visits in the past 12 months were more likely to have had annual mammography (adjusted odds ratio [AOR], 2.67; P = .109 and AOR, 2.20, P = .0008, respectively), a Papanicolaou smear in the past 2 years (AOR, 2.90; P = .04 and AOR, 2.24, P = .009, respectively), and colonoscopy (AOR, 2.99; P = .041 and AOR, 2.17; P = .026, respectively) than those who only visited surgeons/cancer specialists. Indeed, women who saw only a PCP for their follow-up care had the highest odds ratio of receiving each clinical care service.

CONCLUSIONS

The involvement of PCPs in the medical care of low-income BC survivors results in better preventive follow-up care. Getting PCPs involved in the care of cancer survivors might be particularly pertinent for low-income populations because of lower costs and ease of access compared with cancer specialist-provided care.