Socio-economic inequalities: a review of methodological issues and the relationships with cancer survival

Socioeconomic characteristics, cancer mortality, and universal health coverage: A global analysis

BACKGROUND

Achieving universal health coverage (UHC) involves all individuals attaining accessible health interventions at an affordable cost. We examined current patterns and temporal trends of cancer mortality and UHC across sociodemographic index (SDI) settings, and quantified these association.

METHODS

We used data from the Global Burden of Disease Study 2019 and Our World in Data. The UHC effective coverage index was obtained to assess the potential population health gains delivered by health systems. The estimated annual percentage change (EAPC) with a 95% confidence interval (CI) was calculated to quantify the trend of cancer age-standardized mortality rate (ASMR). A generalized linear model was applied to estimate the association between ASMR and UHC.

FINDINGS

The high (EAPC = -0.9% [95% CI, -1.0%, -0.9%]) and high-middle (-0.9% [-1.0%, -0.8%]) SDI regions had the fastest decline in ASMR (per 100,000) for total cancers from 1990 to 2019. The overall UHC effective coverage index increased by 27.9% in the high-SDI quintile to 62.2% in the low-SDI quintile. A negative association was observed between ASMR for all-cancer (adjusted odds ratio [OR] = 0.87 [0.76, 0.99]), stomach (0.73 [0.56, 0.95]), breast (0.64 [0.52, 0.79]), cervical (0.42 [0.30, 0.60]), lip and oral cavity (0.55 [0.40, 0.75]), and nasopharynx (0.42 [0.26, 0.68]) cancers and high UHC level (the lowest as the reference).

CONCLUSIONS

Our findings strengthen the evidence base for achieving UHC to improve cancer outcomes.

FUNDING

This work is funded by the China National Natural Science Foundation and Chinese Academy of Medical Sciences Innovation Fund for Medical Science.

Early mortality in children with cancer in Denmark and Sweden: The role of social background in a setting with universal healthcare

Socioeconomic differences in overall survival from childhood cancer have been shown previously, but the underlying mechanisms remain unclear. We aimed to investigate if social inequalities were seen already for early mortality in settings with universal healthcare. From national registers, all children diagnosed with cancer at ages 0-19 years, during 1991-2014, in Sweden and Denmark, were identified, and information on parental social characteristics was collected. We estimated odds ratios (OR) and 95% confidence intervals (CI) of early mortality (death within 90 days after cancer diagnosis) by parental education, income, employment, cohabitation, and country of birth using logistic regression. For children with acute lymphoblastic leukaemia (ALL), clinical characteristics were obtained. Among 13,926 included children, 355 (2.5%) died within 90 days after diagnosis. Indications of higher early mortality were seen among the disadvantaged groups, with the most pronounced associations observed for maternal education (ORadj_Low_vs_High 1.65 [95% CI 1.22-2.23]) and income (ORadj_Q1(lowest)_vs_Q4(highest) 1.77 [1.25-2.49]). We found attenuated or null associations between social characteristics and later mortality (deaths occurring 1-5 years after cancer diagnosis). In children with ALL, the associations between social factors and early mortality remained unchanged when adjusting for potential mediation by clinical characteristics. In conclusion, this population-based cohort study indicated differences in early mortality after childhood cancer by social background, also in countries with universal healthcare. Social differences occurring this early in the disease course requires further investigation, also regarding the timing of diagnosis.

Treatment patterns and outcomes for Hodgkin Lymphoma patients aged 60 and older: a report from the Brazilian Prospective Hodgkin Lymphoma Registry

The treatment of older patients with Hodgkin lymphoma (HL) remains a challenge. We sought to identify the treatment patterns and outcomes in older HL patients included in the Brazilian HL registry (NCT02589548). A total of 136 patients with HIV-negative classic HL, aged ≥ 60 years, diagnosed between 2009 and 2018, were analyzed. The median age was 66 years old (60-90), 72% had advanced disease, 62% had a high IPS, and 49% had a nodular sclerosis subtype. Median follow-up was 64 months for alive patients. ABVD was the front-line treatment in 96% of patients. Twenty-one patients (15%) died during front-line treatment. The 5-year PFS and 5-year OS rates were 55% and 59%, respectively. The 5-year OS rates in localized and advanced disease were 81% and 51% (p=0.013). Lung toxicity developed in 11% of the patients treated with ABVD. Bleomycin was administered for > 2 cycles in 65% of patients. Compared with 2009-2014, there was a decrease in the use of bleomycin for > 2 cycles in 2015-2018 (88% × 45%, p<0.0001). The impact of socioeconomic status (SES) on outcomes was studied in patients treated with ABVD. After adjusting for potential confounders, lower SES remained independently associated with poorer survival (HR 2.22 [1.14-4.31] for OS and HR 2.84 [1.48-5.45] for PFS). Treatment outcomes were inferior to those observed in developed countries. These inferior outcomes were due to an excess of deaths during front-line treatment and the excessive use of bleomycin. SES was an independent factor for shorter survival.

Associations of socioeconomic status and obesity with hypertension in tibetan adults in a Chinese plateau area

BACKGROUND

Previous studies have identified that socioeconomic status (SES) and obesity are associated with hypertension. However, their interaction on hypertension risk has not yet been assessed.

METHODS

The study used data from 6,069 Tibetan residents in Chengguan District in Lhasa, the Chinese Tibetan autonomous region's capital, based on a cohort study conducted from May 2018 to September 2019 in five provinces in southwest China. We used logistic regression models to assess the complex relations of SES and obesity with hypertension.

RESULTS

Compared with individuals of high SES, low and moderate SES were positively associated with high risk of hypertension. SES and obesity have significant additive interaction on hypertension (general obesity by BMI: RERI = 1.33, P < 0.001; abdominal obesity by WC: RERI = 0.76, P < 0.001; abdominal obesity by WHtR: RERI = 0.96, P < 0.001). In people from the low and moderate SES segments, obesity was linked to an increased risk of hypertension, but the correlations were stronger in people from the moderate SES category. Compared with people of high SES and non obese, those with moderate SES and obesity had a higher risk of hypertension, and ORs were 4.38 (2.80, 6.84) for general obesity by BMI, 3.38 (2.05, 5.57) for abdominal obesity by WC, and 3.18 (1.57, 6.42) for abdominal obesity by WHtR.

CONCLUSION

There is an independent and additive interaction effect of obesity and SES on the risk of hypertension. People with obesity, especially those of moderate and low SES, should reduce weight and waist circumference, and pay more attention to blood pressure. Moreover, the government, health administration departments, and society should prioritize improving the socioeconomic status of the Tibetan population and addressing risk factors like obesity.

Financial adversity and subsequent health and wellbeing during the COVID-19 pandemic in the UK: A qualitative interview study

Aims

There are concerns that the economic impacts of the COVID-19 pandemic, including employment inactivity and job loss, will have consequences for the UK population's health and wellbeing. However, there is limited qualitative research into how financial adversity contributes to poor health outcomes in this context. This study aimed to explore forms of financial adversity experienced during the pandemic and their subsequent impacts for health and wellbeing.

Methods

Qualitative semi-structured interviews with 20 people who experienced a form of financial adversity during the pandemic and six service providers employed in social welfare support services. Data were analysed using reflexive thematic analysis.

Results

Two main sources of financial adversity were identified: reductions in household incomes and increased living costs which engendered emotional and physical burdens. Coping strategies included increased financial borrowing, support from informal and formal networks and cutting back on energy use, food and non-essential items.

Conclusion

Our study highlighted exposure to multiple financial adversities because of the pandemic and how these experiences led to poor mental and physical health. The findings underline the importance of measures attending to the immediate needs of individuals, including accessible, co-located financial and psychological services, as well as broader measures that seek to reduce social and economic inequalities.

Promotion of Healthy Lifestyles Alone Might Not Substantially Reduce Socioeconomic Inequity-Related Mortality Risk in Older People in China: A Prospective Cohort Study

BACKGROUND

Whether healthy lifestyles mediate the association of socioeconomic status (SES) with mortality in older people is largely unknown.

METHODS

A total of 22,093 older participants (age ≥ 65 years) from 5 waves (2002-2014) of Chinese Longitudinal Healthy Longevity Survey cohort were included for analysis. Mediation analysis of lifestyles on the association of SES with all-cause mortality was conducted.

RESULTS

During a mean follow-up period of 4.92 ± 4.03 years, 15,721 (71.76%) deaths occurred. Compared with high SES, medium SES increased the risk of mortality by 13.5% (HR [total effect]: 1.135, 95% CI 1.067-1.205, p < 0.001), and the total effect was not mediated by healthy lifestyles (mediation proportion: - 0.1%, 95% CI - 3.8 to 3.3%, p = 0.936). The total effect when participants of low SES were compared with participants of high SES was HR = 1.161 (95% CI 1.088-1.229, p < 0.001) for mortality, and the total effect was modestly mediated through healthy lifestyles (mediation proportion: - 8.9%, 95% CI - 16.6 to - 5.1%, p < 0.001). Stratification analyses by sex, age and comorbidities, as well as a series of sensitivity analyses indicated similar results. In addition, mortality risk showed a downward trend with increased number of healthy lifestyles within each SES level (all p for trend < 0.050).

CONCLUSION

Promotion of healthy lifestyles alone can only reduce a small proportion of socioeconomic inequity-related mortality risk in older Chinese people. Even so, healthy lifestyles are important in reducing the overall mortality risk within each SES level.

The effect of post-traumatic growth on recovery in liver transplant recipients

Aim

In our study, we examined the effect of post-traumatic growth on recovery in liver transplant recipients in the post-transplant period.

Method

This research was performed as a descriptive and cross-sectional study with the participation of 218 patients who had liver transplantation at the liver transplant institute of a research and training hospital. The personal information form, the Post-Traumatic Growth Inventory, and the Recovery Assessment Scale were used in the data collection process. The Statistical Package for Social Science 25.0 was utilized in the data analysis process.

Findings

In the research, of all participant liver transplant recipients, 67.8% were aged 45-64 years, 34.4% had incomes below expenses, and 91.7% had living donor liver transplantation. Besides, it was found that participants who had living donor liver transplantation obtained higher mean scores from both the Post-Traumatic Growth Inventory and the Recovery Assessment Scale than participants who had cadaveric donor liver transplantation, and likewise, participants who had past surgery experiences obtained higher mean scores from both the Post-Traumatic Growth Inventory and the Recovery Assessment Scale than participants who had no past surgery experience (p < 0.05). Moreover, there was a statistically significant positive linear relationship between participant liver transplant recipients' Post-Traumatic Growth Inventory and Recovery Assessment Scale scores.

Conclusion

Post-traumatic growth supports recovery. Also, social support and a good economic situation are other parameters that promote recovery. In the two-year process during which the treatment is intensively applied to liver transplant recipients following the transplantation surgery, it is important to enable patients to find more meaning in life and to find solutions that facilitate recovery.

Sex Differences in Associations Between Socioeconomic Status and Incident Hypertension Among Chinese Adults

BACKGROUND

With rapid socioeconomic development and transition, associations between socioeconomic status (SES) and hypertension remained uncertain in China. We aimed to examine the health effects of SES on hypertension incidence and explore the sex differences among Chinese adults.

METHODS

We included 53 891 participants without hypertension from the China-PAR (Prediction for Atherosclerotic Cardiovascular Disease Risk in China) project. SES was evaluated by education level, occupation prestige, and household monthly per capita income, and categorized into low, medium, and high groups. Hazard ratios and their 95% CIs were calculated using Cox proportional hazards regression models.

RESULTS

Compared with high SES, participants with medium SES (hazard ratio, 1.142 [95% CI, 1.068-1.220]) or low SES (hazard ratio, 1.166 [95% CI, 1.096-1.241]) had increased risks of incident hypertension in multivariate analyses. Interactions between SES and sex on hypertension were observed, with more pronounced adverse effects of lower SES among women. The corresponding hazard ratios (95% CIs) for low SES group were 1.270 (1.155-1.397) for women and 1.086 (0.999-1.181) for men. Effects of occupation prestige on hypertension were the strongest among SES factors.

CONCLUSIONS

Our study provided the compelling evidence from China that lower SES was associated with incident hypertension and women were more susceptible. These findings will have substantial implications on future hypertension prevention and management, especially among women. Sex-specific approaches are warranted to reduce socioeconomic disparities.

Cancer Survival and Travel Time to Nearest Reference Care Center for 10 Cancer Sites: An Analysis of 21 French Cancer Registries

BACKGROUND

The impact of several non-clinical factors on cancer survival is poorly understood. The aim of this study was to investigate the influence of travel time to the nearest referral center on survival of patients with cancer.

PATIENTS AND METHODS

The study used data from the French Network of Cancer Registries that combines all the French population-based cancer registries. For this study, we included the 10 most common solid invasive cancer sites in France between 1 January 2013 and 31 December 2015, representing 160,634 cases. Net survival was measured and estimated using flexible parametric survival models. Flexible excess mortality modelling was performed to investigate the association between travel time to the nearest referral center and patient survival. To allow the most flexible effects, restricted cubic splines were used to investigate the influence of travel times to the nearest cancer center on excess hazard ratio.

RESULTS

Among the 1-year and 5-year net survival results, lower survival was observed for patients residing farthest from the referral center for half of the included cancer types. The remoteness gap in survival was estimated to be up to 10% at 5 years for skin melanoma in men and 7% for lung cancer in women. The pattern of the effect of travel time was highly different according to tumor type, being either linear, reverse U-shape, non-significant, or better for more remote patients. For some sites restricted cubic splines of the effect of travel time on excess mortality were observed with a higher excess risk ratio as travel time increased.

CONCLUSIONS

For numerous cancer sites, our results reveal geographical inequalities, with remote patients experiencing a worse prognosis, aside from the notable exception of prostate cancer. Future studies should evaluate the remoteness gap in more detail with more explanatory factors.

Mendelian randomization to explore the direct or mediating associations between socioeconomic status and lung cancer

Objective

The purpose of this study was to verify whether there are direct or mediated causal associations between socioeconomic status and lung cancer.

Methods

Pooled statistics were obtained from corresponding genome-wide association studies. The inverse-variance weighted, weighted median, MR-Egger, MR-PRESSO and contamination-mixture methods were used as supplements to Mendelian randomization (MR) statistical analysis. Cochrane's Q value and the MR-Egger intercept were used for sensitivity analysis.

Results

In the univariate MR analysis, household income and education had protective effects on overall lung cancer (income: P = 5.46×10^-4; education: P = 4.79×10^-7) and squamous cell lung cancer (income: P = 2.67×10^-3; education: P = 1.42×10^-10). Smoking and BMI had adverse effects on overall lung cancer (smoking: P = 2.10×10^-7; BMI: P = 5.67×10^-4) and squamous cell lung cancer (smoking: P = 5.02×10^-6; BMI: P = 2.03×10^-7). Multivariate MR analysis found that smoking and education were independent risk factors for overall lung cancer (smoking: P = 1.96×10^-7; education: P = 3.11×10^-3), while smoking was an independent risk factor for squamous cell lung cancer (P = 2.35×10^-6). Smoking, education, and household income mediate the effect of BMI on overall lung cancer (smoking 50.0%, education 49.2%, income 25.3%) and squamous cell lung cancer (smoking 34.8%, education 30.8%, income 21.2%). Smoking, education, and BMI mediate the effect of income on overall lung cancer (smoking 13.9%, education 54.8%, BMI 9.4%) and squamous cell lung cancer (smoking 12.6%, education 63.3%, BMI 11.6%). Smoking, BMI, and income mediate the effect of education on squamous cell lung cancer (smoking 24.0%, BMI 6.2%, income 19.4%).

Conclusion

Income, education, BMI, and smoking are causally associated with both overall lung cancer and squamous cell lung cancer. Smoking and education are independent association factors for overall lung cancer, while smoking is an independent association factor for squamous cell lung cancer. Smoking and education also play important mediating roles in overall lung cancer and squamous cell lung cancer. No causal relationship was found between multiple risk factors associated with socioeconomic status and lung adenocarcinoma.

Socioeconomic disadvantage and its impact on colorectal cancer in Australia: a scoping review

BACKGROUND

Social disparities in cancer survival have been demonstrated in Australia despite a universal healthcare insurance system. Colorectal cancer is common, and reasons for survival disparities related to socioeconomic status need to be investigated and addressed. The aim is to evaluate the current Australian literature concerning the impact of socioeconomic status on colorectal cancer survival and stage at presentation.

METHODS

A systematic search of PUBMED, EMBASE, SCOPUS and Clarivate Web of Science databases from January 2010 to March 2022 was performed. Studies investigating the impact of socioeconomic status on colorectal stage at presentation or survival in Australia were included. Data were extracted on author, year of publication, state or territory of origin, patient population, other exposure variables, outcomes and findings and adjustments made.

RESULTS

Of the 14 articles included, the patient populations examined varied in size from 207 to 100 000+ cases. Evidence that socioeconomic disadvantage was associated with poorer survival was demonstrated in eight of 12 studies. Evidence of effect on late stage at presentation was demonstrated in two of seven studies. Area-level measures were commonly used to assess socioeconomic status, with varying indices utilized.

CONCLUSION

There is limited evidence that socioeconomic status is associated with late-stage at presentation. More studies provide evidence of an association between socioeconomic disadvantage and poorer survival, especially larger studies utilizing less clinically-detailed cancer registry data. Further investigation is required to analyse why socioeconomic disadvantage may be associated with poorer survival.

Epidemiologic and socioeconomic factors impacting hepatitis B virus and related hepatocellular carcinoma

Chronic Hepatitis B is a highly prevalent disease worldwide and is estimated to cause more than 800000 annual deaths from complications such as cirrhosis and hepatocellular carcinoma (HCC). Although universal hepatitis B vaccination programs may have reduced the incidence and prevalence of chronic hepatitis B and related HCC, the disease still imposes a significant healthcare burden in many endemic regions such as Africa and the Asia-Pacific region. This is especially concerning given the global underdiagnosis of hepatitis B and the limited availability of vaccination, screening, and treatment in low-resource regions. Demographics including male gender, older age, ethnicity, and geographic location as well as low socioeconomic status are more heavily impacted by chronic hepatitis B and related HCC. Methods to mitigate this impact include increasing screening in high-risk groups according to national guidelines, increasing awareness and health literacy in vulnerable populations, and developing more robust vaccination programs in under-served regions.

Overall lifestyles and socioeconomic inequity in mortality and life expectancy in China: the China health and nutrition survey

BACKGROUND

socioeconomic inequity in mortality and life expectancy remains inconclusive in low- and middle-income countries, and to what extent the associations are mediated or modified by lifestyles remains debatable.

METHODS

we included 21,133 adults from China Health and Nutrition Survey (1991-2011) and constructed three parameters to reflect participants' overall individual- (synthesising income, education and occupation) and area-level (urbanisation index) socioeconomic status (SES) and lifestyles (counting the number of smoking, physical inactivity and unhealthy diet and bodyweight). HRs for mortality and life expectancy were estimated by time-dependent Cox model and life table method, respectively.

RESULTS

during a median follow-up of 15.2 years, 1,352 deaths were recorded. HRs (95% CIs) for mortality comparing low versus high individual- and area-level SES were 2.38 (1.75-3.24) and 1.84 (1.51-2.24), respectively, corresponding to 5.7 (2.7-8.6) and 5.0 (3.6-6.3) life-year lost at age 50. Lifestyles explained ≤11.5% of socioeconomic disparity in mortality. Higher lifestyle risk scores were associated with higher mortality across all socioeconomic groups. HR (95% CI) for mortality comparing adults with low individual-level SES and 3-4 lifestyle risk factors versus those with high SES and 0-1 lifestyle risk factors was 7.06 (3.47-14.36), corresponding to 19.1 (2.6-35.7) life-year lost at age 50.

CONCLUSION

this is the first nationwide cohort study reporting that disadvantaged SES was associated with higher mortality and shorter life expectancy in China, which was slightly mediated by lifestyles. Risk lifestyles were related to higher mortality across all socioeconomic groups, and those with risk lifestyles and disadvantaged SES had much higher mortality risks.

Associations of Socioeconomic Status and Healthy Lifestyle With Incidence of Dyslipidemia: A Prospective Chinese Governmental Employee Cohort Study

Objective

The purpose of the study was to test whether primary lifestyles mediate associations of SES with incidence of dyslipidemia and to explore interaction relations of lifestyles and SES with incidence of dyslipidemia.

Methods

We included 9,901 individuals at baseline from January 2018 to November 2019, and incidence data were updated to 31 December 2020. Dyslipidemia was defined as total cholesterol (TC) 6.2 mmol/L TC ≥ or triglycerides (TG) ≥2.3 mmol/L or low-density lipoprotein cholesterol (LDL-C) ≥4.1 mmol/L or high-density lipoprotein cholesterol (HDL-C) <1.0 mmol/L; or physician diagnosed dyslipidemia or lipid-lowering drugs use. Lifestyles, socioeconomic factors, and personal characteristics were collected by a questionnaire. A latent class analysis based on education, family income, and occupational position was used to assess the SES. Lifestyle score was calculated using cigarette smoking, alcohol consumption, physical activity, and diet. Cox proportional hazard models and multivariate analyses were used to explore the associations. The mediation effect was evaluated using bootstrap method.

Results

Participant mean age was 36.5 years (SD = 0.11). The cumulative incidence of dyslipidemia was 11.0% over a mean follow-up of 13.4 months. Compared with participants of high SES, those with low SES had higher risk of incidence of dyslipidemia [hazard ratio 1.32, 95% confidence interval (CI): 1.01–1.73], after adjusting for lifestyle scores and other covariates. The proportion mediated by lifestyles was 5.41% (95%CI: 4.17–7.11). A significant additive interaction was found between lifestyles and SES, whereas association between lifestyle and incidence of dyslipidemia was stronger among those of high SES. Additionally, individuals with low SES and no or one healthy lifestyle behavior had a higher risk of developing dyslipidemia than those with high SES and 3 or 4 healthy lifestyles.

Conclusion

Unhealthy lifestyles play a small moderating role in socioeconomic inequity in incidence of dyslipidemia among Chinese governmental employees, suggesting that promoting healthy lifestyles alone may not significantly reduce socioeconomic inequalities in health, and measures to address other social determinants of health should also be considered alongside.

Are deprivation-specific cancer survival patterns similar according to individual-based and area-based measures? A cohort study of patients diagnosed with five malignancies in England and Wales, 2008-2016

OBJECTIVE

To investigate if measured inequalities in cancer survival differ when using individual-based ('person') compared with area-based ('place') measures of deprivation for three socioeconomic dimensions: income, deprivation and occupation.

DESIGN

Cohort study.

SETTING

Data from the Office for National Statistics Longitudinal Study of England and Wales, UK, linked to the National Cancer Registration Database.

PARTICIPANTS

Patients diagnosed with cancers of the colorectum, breast, prostate, bladder or with non-Hodgkin's lymphoma during the period 2008-2016.

PRIMARY AND SECONDARY OUTCOME MEASURES

Differentials in net survival between groups defined by individual wage, occupation and education compared with those obtained from corresponding area-level metrics using the English and Welsh Indices of Multiple Deprivation.

RESULTS

Survival was negatively associated with area-based deprivation irrespective of the type analysed, although a trend from least to most deprived was not always observed. Socioeconomic differences were present according to individually-measured socioeconomic groups although there was an absence of a consistent 'gradient' in survival. The magnitude of differentials was similar for area-based and individually-derived measures of deprivation, which was unexpected.

CONCLUSION

These unique data suggest that the socioeconomic influence of 'person' is different to that of 'place' with respect to cancer outcomes. This has implications for health policy aimed at reducing inequalities. Further research could consider the separate and additional influence of area-based deprivation over individual-level characteristics (contextual effects) as well as investigate the geographic, socioeconomic and healthcare-related characteristics of areas with poor outcomes in order to inform policy intervention.

Mortality and Second Cancer Incidence After Treatment for Testicular Cancer: Psychosocial Health and Lifestyle Are Modifiable Prognostic Factors

PURPOSE

To evaluate whether selected modifiable patient-reported adverse health outcomes (AHOs) in testicular cancer survivors (TCSs) represent prognostic factors of overall mortality, cancer mortality, and first-time non-germ cell second cancer (SecCa) incidence.

PATIENTS AND METHODS

In 775 long-term TCSs (diagnosis: 1980-1994) who previously participated in a quality-of-life survey, 20-year mortality and SecCa incidence were compared between the surgery group (n = 272) and TCSs after platinum-based chemotherapy (PBCT; n = 503). A PBCT standard group (total cisplatin: ≤ 630 mg: n = 124) was separated from a PBCT high subgroup (total cisplatin: > 630 mg; n = 379). Univariate and multivariate analyses (Kaplan-Meier; Cox proportional hazard analyses) included age, treatment, and prior major physical comorbidity as nonmodifiable factors, whereas low socioeconomic status, unhealthy lifestyle, probable depression disorder, and neurotoxicity were modifiable AHOs.

RESULTS

For all TCSs, the cumulative overall 20-year mortality was 14% (95% CI, 11.8 to 16.8). Rising age, PBCT high, and comorbidity significantly increased the risk of overall mortality rate. Compared with a low-risk group (no AHO; n = 446) and with exception of neurotoxicity, this risk was further significantly enhanced by 80% in TCSs of a medium-risk group (one or two AHOs; n = 278). In men of a high-risk group (three AHOs; n = 47), the probability of overall mortality and of cancer mortality was eight-fold and five-fold increased, respectively. Risk grouping did not influence on SecCa incidence.

CONCLUSION

Self-reported unfavorable modifiable AHO concerning lifestyle and psychosocial health are in TCSs independently and significantly associated with increased overall mortality and cancer mortality. Health professionals and the TCSs themselves, particularly those after PBCT high, should continuously be aware of these risk factors attempting maximal reduction of these AHOs and thereby supporting long-term survival.

Socio-Economic Inequalities in Lung Cancer Outcomes: An Overview of Systematic Reviews

In the past decade, evidence has accumulated about socio-economic inequalities in very diverse lung cancer outcomes. To better understand the global effects of socio-economic factors in lung cancer, we conducted an overview of systematic reviews. Four databases were searched for systematic reviews reporting on the relationship between measures of socio-economic status (SES) (individual or area-based) and diverse lung cancer outcomes, including epidemiological indicators and diagnosis- and treatment-related variables. AMSTAR-2 was used to assess the quality of the selected systematic reviews. Eight systematic reviews based on 220 original studies and 8 different indicators were identified. Compared to people with a high SES, people with a lower SES appear to be more likely to develop and die from lung cancer. People with lower SES also have lower cancer survival, most likely due to the lower likelihood of receiving both traditional and next-generation treatments, higher rates of comorbidities, and the higher likelihood of being admitted as emergency. People with a lower SES are generally not diagnosed at later stages, but this may change after broader implementation of lung cancer screening, as early evidence suggests that there may be socio-economic inequalities in its use.

Effects of deprivation and age on staging of breast, colon, rectum and prostate cancer in Umbria region, Italy: a multilevel approach

BACKGROUND

Early diagnosis of breast, colon, rectum and prostate cancers improves health outcomes. Low socioeconomic status (SES) is related to advanced stages at diagnosis; inequalities could explain differences in outcomes by age. The influence of SES, age and residence area on staging was explored in the Umbrian population.

METHODS

2001-2010 cases were geo-coded by census tract of residence. Stage distribution or Gleason score were analyzed by multilevel multinomial logistic regression with age and SES as the fixed effects and census tract as the random-effect.

RESULTS

For breast and colorectal cancers, the screening age class was advantaged. For breast, age effect was modulated by deprivation and census tract. In the elderly, the richest were advantaged, the poorest disadvantaged; issues emerged for the young. For colon, age effect is modulated by census tract in early stages and deprivation in late stages. The elderly were disadvantaged; the young and the deprived had more stages IV. About rectum, age effect was modulated by deprivation in the late stages. The elderly were disadvantaged; the young and the deprived presented more stages IV. For prostate, age effect was modulated by deprivation and census tract. The intermediate age class was advantaged, the elderly disadvantaged.

CONCLUSION

Age was not always the determinant of a delayed staging when SES was considered. For breast and colorectal cancers, issues of delayed diagnosis emerged in the young. If the care center was near the residence, the census tract modified the stage at diagnosis. These results are useful to reduce SES barriers by specific programs adapted to the age of the patient and area of residence.

Associations of socioeconomic status and sleep disorder with depression among US adults

OBJECTIVE

We aimed to evaluate the relationship between socioeconomic status (SES), sleep disorder across adulthood and the prevalence of depression.

METHODS

Participants from the National health and Nutrition Examination Surveys (NHANES 2005∼2018) were included in the present study. Multiple logistic regression models were used to explore the associations between SES, sleep disorder and depression. Restricted cubic splines with 4 knots were used to explore the relationship between sleep time and depression.

RESULTS

A total of 3021 (8.85%) individuals among 34128 participants reported depressive symptom. The multiple adjusted odds ratios (ORs) and 95% confidential intervals (CIs) were 2.09 (1.78-2.46) for population with low SES, 4.12 (3.74-4.55) for individuals with sleep trouble, 1.84 (1.63-2.07) for insufficient sleep and 1.44 (1.21-1.72) for excessive sleep, respectively. In addition, significant U-shaped relationship between sleep time and depression, and joint effects of SES and sleep trouble in relationship to depression were found.

CONCLUSIONS

SES, sleep disorder are associated with increased prevalence of depression. And our study supports an important role of healthy sleep habits and socioeconomic equity in improving mental health.

Application of Socio-Economic and Health Deprivation Indices to study the relationships between socio-economic status and disease onset and outcome in a metropolitan area subjected to aging, demographic fall and socio-economic crisis

Aims

Genoa is a city affected by a deep economic, demographic and social involution. The association between disease onset and outcome and socioeconomic status (SES) was assessed in the mortality by cause in two periods, using indices referred to the distribution of deprivation in the population defined in a ten-years span (2001 to 2011).

Material and Methods

Two Socio-Economic and Health Deprivation Indices (SEHDIs), computed at census tract level (2001 and 2011 Censuses), were applied to analyse the SMRs by cause, age (0-64 and 65+ years) and gender of the five normalised groups of deprivation individuated in the two population distribution. The associations between SES and onset of disease was described in the mortality 2008-11 using the index referred to 2001 population. The second index, referred to 2011 population, described the associations between SES and disease outcomes in the mortality 2009-13. Two ANOVAs evaluated the statistical significance (p < 0.05) of differences in death distribution among groups.

Results

The population at medium-high deprivation increased in Genoa between 2001 and 2011. The mortality by age and gender showed different trends. Not significant trends (NS) in both periods regarded only the younger (respiratory diseases in both sexes, prostate cancer, diabetes in women). Linearly positives (L↑) trends in both periods were observed only in men (all cancers and lung cancers, overall mortality and cardiovascular diseases in younger, diabetes in older). Not linear trends (NL) in both periods interested both sexes for flu and pneumonia, women for lung cancer, old women for overall mortality and respiratory diseases, old men for colorectal cancers. Instead, L↑ trends in the final phases of disease interest all cancers in the elderly (NS trend at the disease onset), all cancers and breast cancer in young women, diabetes and colorectal cancers in young men (NL trends at the disease onset). On the contrary, L↑ trends at the disease onset and NL trends in the final phases regarded cardiovascular diseases in elderly, overall mortality, respiratory diseases and prostate cancer in old men, diabetes and colorectal cancers in old women. Finally, NL trends at the disease onset regarded colorectal cancers in young women (NS trend in the final phases) and breast cancer in the older (linearly negative trend, L↓, in the final phases).

Discussion

Deprivation trends confirmed the literature about populations shifting towards poverty. Aging-linked social risks were revealed, reflecting the weakening of social-health care, which worsened in elderly if alone. Serious problems in younger singles or in the single-parent families arose. Cardiovascular diseases, all cancers and colorectal cancers trends confirmed the advantage of less deprived when diseases are preventable and curable. Prostate and breast cancers trends reflected the rising incidence and increasing problems in care. The need of corrective interventions in social and health policies was emerging, aimed to support in a targeted way a population in an alarming condition of socio-economic deterioration.

Are socio-economic inequalities in breast cancer survival explained by peri-diagnostic factors?

BACKGROUND

Patients living in more deprived localities have lower cancer survival in England, but the role of individual health status at diagnosis and the utilisation of primary health care in explaining these differentials has not been widely considered. We set out to evaluate whether pre-existing individual health status at diagnosis and primary care consultation history (peri-diagnostic factors) could explain socio-economic differentials in survival amongst women diagnosed with breast cancer.

METHODS

We conducted a retrospective cohort study of women aged 15-99 years diagnosed in England using linked routine data. Ecologically-derived measures of income deprivation were combined with individually-linked data from the English National Cancer Registry, Clinical Practice Research Datalink (CPRD) and Hospital Episodes Statistics (HES) databases. Smoking status, alcohol consumption, BMI, comorbidity, and consultation histories were derived for all patients. Time to breast surgery was derived for women diagnosed after 2005. We estimated net survival and modelled the excess hazard ratio of breast cancer death using flexible parametric models. We accounted for missing data using multiple imputation.

RESULTS

Net survival was lower amongst more deprived women, with a single unit increase in deprivation quintile inferring a 4.4% (95% CI 1.4-8.8) increase in excess mortality. Peri-diagnostic co-variables varied by deprivation but did not explain the differentials in multivariable analyses.

CONCLUSIONS

These data show that socio-economic inequalities in survival cannot be explained by consultation history or by pre-existing individual health status, as measured in primary care. Differentials in the effectiveness of treatment, beyond those measuring the inclusion of breast surgery and the timing of surgery, should be considered as part of the wider effort to reduce inequalities in premature mortality.

Factors Explaining Socio-Economic Inequalities in Cancer Survival: A Systematic Review

BACKGROUND

There is strong and well-documented evidence that socio-economic inequality in cancer survival exists within and between countries, but the underlying causes of these differences are not well understood.

METHODS

We systematically searched the Ovid Medline, EMBASE, and CINAHL databases up to 31 May 2020. Observational studies exploring pathways by which socio-economic position (SEP) might causally influence cancer survival were included.

RESULTS

We found 74 eligible articles published between 2005 and 2020. Cancer stage, other tumor characteristics, health-related lifestyle behaviors, co-morbidities and treatment were reported as key contributing factors, although the potential mediating effect of these factors varied across cancer sites. For common cancers such as breast and prostate cancer, stage of disease was generally cited as the primary explanatory factor, while co-morbid conditions and treatment were also reported to contribute to lower survival for more disadvantaged cases. In contrast, for colorectal cancer, most studies found that stage did not explain the observed differences in survival by SEP. For lung cancer, inequalities in survival appear to be partly explained by receipt of treatment and co-morbidities.

CONCLUSIONS

Most studies compared regression models with and without adjusting for potential mediators; this method has several limitations in the presence of multiple mediators that could result in biased estimates of mediating effects and invalid conclusions. It is therefore essential that future studies apply modern methods of causal mediation analysis to accurately estimate the contribution of potential explanatory factors for these inequalities, which may translate into effective interventions to improve survival for disadvantaged cancer patients.

Associations of healthy lifestyle and socioeconomic status with mortality and incident cardiovascular disease: two prospective cohort studies

OBJECTIVE

To examine whether overall lifestyles mediate associations of socioeconomic status (SES) with mortality and incident cardiovascular disease (CVD) and the extent of interaction or joint relations of lifestyles and SES with health outcomes.

DESIGN

Population based cohort study.

SETTING

US National Health and Nutrition Examination Survey (US NHANES, 1988-94 and 1999-2014) and UK Biobank.

PARTICIPANTS

44 462 US adults aged 20 years or older and 399 537 UK adults aged 37-73 years.

EXPOSURES

SES was derived by latent class analysis using family income, occupation or employment status, education level, and health insurance (US NHANES only), and three levels (low, medium, and high) were defined according to item response probabilities. A healthy lifestyle score was constructed using information on never smoking, no heavy alcohol consumption (women ≤1 drink/day; men ≤2 drinks/day; one drink contains 14 g of ethanol in the US and 8 g in the UK), top third of physical activity, and higher dietary quality.

MAIN OUTCOME MEASURES

All cause mortality was the primary outcome in both studies, and CVD mortality and morbidity in UK Biobank, which were obtained through linkage to registries.

RESULTS

US NHANES documented 8906 deaths over a mean follow-up of 11.2 years, and UK Biobank documented 22 309 deaths and 6903 incident CVD cases over a mean follow-up of 8.8-11.0 years. Among adults of low SES, age adjusted risk of death was 22.5 (95% confidence interval 21.7 to 23.3) and 7.4 (7.3 to 7.6) per 1000 person years in US NHANES and UK Biobank, respectively, and age adjusted risk of CVD was 2.5 (2.4 to 2.6) per 1000 person years in UK Biobank. The corresponding risks among adults of high SES were 11.4 (10.6 to 12.1), 3.3 (3.1 to 3.5), and 1.4 (1.3 to 1.5) per 1000 person years. Compared with adults of high SES, those of low SES had higher risks of all cause mortality (hazard ratio 2.13, 95% confidence interval 1.90 to 2.38 in US NHANES; 1.96, 1.87 to 2.06 in UK Biobank), CVD mortality (2.25, 2.00 to 2.53), and incident CVD (1.65, 1.52 to 1.79) in UK Biobank, and the proportions mediated by lifestyle were 12.3% (10.7% to 13.9%), 4.0% (3.5% to 4.4%), 3.0% (2.5% to 3.6%), and 3.7% (3.1% to 4.5%), respectively. No significant interaction was observed between lifestyle and SES in US NHANES, whereas associations between lifestyle and outcomes were stronger among those of low SES in UK Biobank. Compared with adults of high SES and three or four healthy lifestyle factors, those with low SES and no or one healthy lifestyle factor had higher risks of all cause mortality (3.53, 3.01 to 4.14 in US NHANES; 2.65, 2.39 to 2.94 in UK Biobank), CVD mortality (2.65, 2.09 to 3.38), and incident CVD (2.09, 1.78 to 2.46) in UK Biobank.

CONCLUSIONS

Unhealthy lifestyles mediated a small proportion of the socioeconomic inequity in health in both US and UK adults; therefore, healthy lifestyle promotion alone might not substantially reduce the socioeconomic inequity in health, and other measures tackling social determinants of health are warranted. Nevertheless, healthy lifestyles were associated with lower mortality and CVD risk in different SES subgroups, supporting an important role of healthy lifestyles in reducing disease burden.

Small-area analysis on socioeconomic inequalities in cancer survival for 25 cancer sites in Germany

Socioeconomic inequalities in cancer survival have been reported in various countries but it is uncertain to what extent they persist in countries with relatively comprehensive health insurance coverage such as Germany. We investigated the association between area-based socioeconomic deprivation on municipality level and cancer survival for 25 cancer sites in Germany. We used data from seven population-based cancer registries (covering 32 million inhabitants). Patients diagnosed in 1998 to 2014 with one of 25 most common cancer sites were included. Area-based socioeconomic deprivation was assessed using the categorized German Index of Multiple Deprivation (GIMD) on municipality level. We estimated 3-month, 1-year, 5-year and 5-year conditional on 1-year age-standardized relative survival using period approach for 2012 to 2014. Trend analyses were conducted for periods between 2003-2005 and 2012-2014. Model-based period analysis was used to calculate relative excess risks (RER) adjusted for age and stage. In total, 2 333 547 cases were included. For all cancers combined, 5-year survival rates by GIMD quintile were 61.6% in Q1 (least deprived), 61.2% in Q2, 60.4% in Q3, 59.9% in Q4 and 59.0% in Q5 (most deprived). For most cancer sites, the most deprived quintile had lower 5-year survival compared to the least deprived quintile even after adjusting for stage (all cancer sites combined, RER 1.16, 95% confidence interval 1.14-1.19). For some cancer sites, this association was stronger during short-term follow-up. Trend analyses showed improved survival from earlier to recent periods but persisting deprivation differences. The underlying reasons for these persisting survival inequalities and strategies to overcome them should be further investigated.

Estimation of the Potentially Avoidable Excess Deaths Associated with Socioeconomic Inequalities in Cancer Survival in Germany

Many countries have reported survival inequalities due to regional socioeconomic deprivation. To quantify the potential gain from eliminating cancer survival disadvantages associated with area-based deprivation in Germany, we calculated the number of avoidable excess deaths. We used population-based cancer registry data from 11 of 16 German federal states. Patients aged ≥15 years diagnosed with an invasive malignant tumor between 2008 and 2017 were included. Area-based socioeconomic deprivation was assessed using the quintiles of the German Index of Multiple Deprivation (GIMD) 2010 on a municipality level nationwide. Five-year age-standardized relative survival for 25 most common cancer sites and for total cancer were calculated using period analysis. Incidence and number of avoidable excess deaths in Germany in 2013-2016 were estimated. Summed over the 25 cancer sites, 4100 annual excess deaths (3.0% of all excess deaths) could have been avoided each year in Germany during the period 2013-2016 if relative survival were in all regions comparable with the least deprived regions. Colorectal, oral and pharynx, prostate, and bladder cancer contributed the largest numbers of avoidable excess deaths. Our results provide a good basis to estimate the potential of intervention programs for reducing socioeconomic inequalities in cancer burden in Germany.

Inequality in survival of people with head and neck cancer: Head and Neck 5000 cohort study

BACKGROUND

Explanations for socioeconomic inequalities in survival of head and neck cancer (HNC) patients have had limited attention and are not well understood.

METHODS

The UK Head and Neck 5000 prospective clinical cohort study was analyzed. Survival relating to measures of socioeconomic status was explored including area-based and individual factors. Three-year overall survival was determined using the Kaplan-Meier method. All-cause mortality was investigated via adjusted Cox Proportional Hazard models.

RESULTS

A total of 3440 people were included. Three-year overall survival was 76.3% (95% CI 74.9, 77.7). Inequality in survival by deprivation category, highest education level, and financial concerns was explained by age, sex, health, and behavioral factors. None of the potential explanatory factors fully explained the inequality associated with annual household income or the proportion of income of benefits.

CONCLUSION

These results support the interventions to address the financial issues within the wider care and support provided to HNC patients.

Systematic review of the association between socioeconomic status and bladder cancer survival with hospital type, comorbidities, and treatment delay as mediators

Objectives

Materials and methods

Results

Conclusions

Effects of socioeconomic status on cancer patient survival: counterfactual event-based mediation analysis

PURPOSE

This study investigated the direct and indirect effects of socioeconomic status (SES) on the survival time of cancer patients by using cancer stage to create a pathway from SES to health outcomes and facilitate a mechanistic inference.

METHODS

Both a traditional mediation analysis and a counterfactual event-based mediation analysis were applied to SEER (The Surveillance, Epidemiology, and End Results) data from the National Cancer Institute of the United States. A Cox proportional hazards model for survival analysis was performed in the mediation analysis.

RESULTS

The counterfactual event-based mediation analysis showed that the effect of SES on survival time was partially mediated by stage at diagnosis in lung (12%), liver (14.33%), and colorectal (9%) cancers. Investigation of the fundamental mechanism involved thus established the direct effect of SES on survival time and the indirect effect of SES on survival time through stage at diagnosis. Moreover, the mediation analysis also revealed that the disparity in timely diagnosis (i.e., stage at diagnosis) caused by SES was slightly significant.

CONCLUSIONS

SES can either affect cancer survival directly or indirectly through stage at diagnosis. Opportunities to reduce cancer disparity exist in the design of early detection policies or mechanisms for patients with varying resources.

Influence of timeliness and receipt of first treatment on geographic variation in non-small cell lung cancer mortality

Mortality from non-small cell lung cancer (NSCLC) exhibits substantial geographical disparities. However, there is little evidence on whether this variation could be attributed to patients' clinical characteristics and/or socioeconomic inequalities. This study evaluated the independent and relative contribution of the individual- and area-level risk factors on geographic variation in 2-year all-cause mortality among NSCLC patients. In the Hierarchical-related regression approach, we used the Bayesian spatial multilevel logistic regression model to combine individual- and area-level predictors with outcomes while accounting for geographically structured and unstructured correlation. Individual-level data included 3330 NSCLC cases reported to the Victoria Lung Cancer Registry between 2011 and 2016. Area-level data comprised socioeconomic disadvantage, remoteness and pollution data at the postal area level in Victoria, Australia. With the inclusion of significant individual- and area-level risk factors, timely (≤14 days) first definitive treatment (odds ratio [OR] = 0.73, 95% credible interval [Crl] = 0.56-0.94) and multidisciplinary meetings (MDM) (OR = 0.74, 95% Crl = 0.59-0.93) showed an independent association with a lower likelihood of NSCLC 2-year all-cause mortality. Timely and delayed (>14 days) first nondefinitive treatment, no treatment, advanced clinical stage, smoking, poor performance status, public hospital insurance and area-level deprivation were independently associated with a higher likelihood of 2- and 5-year all-cause mortality. NSCLC's 2-year all-cause mortality exhibited substantial geographic variation, mainly associated with timeliness and receipt of first definitive treatment, no treatment followed by patient prognostic factors with some contribution from area-level deprivation, MDM and public hospital insurance. This study highlights NSCLC patients should receive the first definitive treatment within the recommended 14-days from diagnosis.

Social Inequalities in Cancer Survival in Belgium: A Population-Based Cohort Study

BACKGROUND

Socioeconomic status (SES) is an important factor in cancer survival; however, results are heterogeneous and linked to characteristics of the study population and health care system. This population-based cohort study evaluates the association between individual-level socioeconomic and demographic factors and cancer survival for the first time in Belgium.

METHODS

From the Belgian Cancer Registry, we identified 109,591 patients diagnosed between 2006 and 2013 with one of eight common cancer types. Information on treatment, socioeconomic parameters, and vital status were retrieved from multiple data sources and linked using a unique personal identification number. The outcome was 5-year observed survival. Associations between survival and socioeconomic and demographic factors were assessed using multivariable Cox proportional-hazard regression models.

RESULTS

Lower income, unemployment, and living alone were all associated with worse cancer survival. These associations were most pronounced for certain lifestyle-related cancer types (e.g., head and neck cancers) and those with good to moderate prognosis (e.g., colorectal and female breast cancer).

CONCLUSIONS

These results indicate that, despite a comprehensive and nationwide health insurance program in which equity in rights and access to health care are pursued, SES is associated with disparities in cancer survival in Belgium.

IMPACT

This population-based study with individual-level socioeconomic information of more than 100,000 patients with cancer identifies patient groups that may be at highest risk for socioeconomic disparities in cancer survival. Reasons behind the observed disparities are multiple and complex and should be further examined. Health policy interventions should consider the observed deprivation gap to plan targeted actions.

Occupational disparities in survival in Korean women with cancer: a nationwide registry linkage study

OBJECTIVES

We sought to examine occupational disparities in survival among Korean women diagnosed with cancer.

DESIGN

Population-based, registry-linkage study.

SETTING

South Korea.

PARTICIPANTS

Our study population comprised female workers registered in the Korean national employment insurance programme during 1995-2000 and diagnosed with cancer between 1995 and 2008. A total of 61 110 women with cancer diagnoses was included in analysis. The occupation was categorised into four groups: (1) managers, professionals and technical workers, (2) clerks, (3) service/sales workers and (4) blue-collar workers.

PRIMARY AND SECONDARY OUTCOME MEASURE

Study population were linked to the national death registry until 2009. HRs for mortality adjusting for age and year of diagnosis were calculated in the study sample and subgroups with 10 specific cancer sites including thyroid, breast, stomach, cervix, colon or lung cancer using managers, professionals and technical workers as the reference.

RESULTS

Women in service/sales (HR 1.25, 95% CI 1.15 to 1.35) and blue-collar occupations (HR 1.34, 95% CI 1.25 to 1.44) had poorer survival for all cancer sites combined, while blue-collar workers showed poorer survival for lung (HR 1.41, 95% CI 1.14 to 1.77), breast (HR 1.28, 95% CI 1.06 to 1.54), cervical cancer (HR 1.42, 95% CI 1.02 to 2.06) and non-Hodgkin's lymphoma (HR 1.69, 95% CI 1.09 to 2.77) compared with women in professional and managerial positions.

CONCLUSION

We found substantial and significant inequalities in overall survival by the occupational group among Korean women with cancer, even in the context of universal access to cancer screening and treatment.

Education level as a predictor of survival in patients with multiple myeloma

BACKGROUND

Disparities in multiple myeloma (MM) prognosis based on sociodemographic factors may exist. We investigated whether education level at diagnosis influenced Chinese MM patient outcomes.

METHODS

We performed a multicenter retrospective analysis of data from 773 MM patients across 9 centers in China from 2006 to 2019. Sociodemographic and clinical factors at diagnosis and treatment regimens were recorded, and univariate and multivariate analyses were performed.

RESULTS

Overall, 69.2% of patients had low education levels. Patients with low education levels differed from those with high education levels in that they were more likely to be older, and a higher proportion lived in rural areas, were unemployed, had lower annual incomes and lacked insurance. Additionally, compared to patients with high education levels, patients with low education levels had a higher proportion of international staging system (ISS) stage III classification and elevated lactate dehydrogenase (LDH) levels and underwent transplantation less often. Patients with high education levels had a median progression-free survival (PFS) of 67.50 (95% confidence interval (CI): 51.66-83.39) months, which was better than that of patients with low education levels (30.60 months, 95% CI: 27.38-33.82, p < 0.001). Similarly, patients with high education levels had a median overall survival (OS) of 122.27 (95% CI: 117.05-127.49) months, which was also better than that of patients with low education levels (58.83 months, 95% CI: 48.87-62.79, p < 0.001). In the multivariable analysis, patients with high education levels had lower relapse rates and higher survival rates than did those with low education level in terms of PFS and OS (hazard ratio (HR) = 0.50 [95% CI: 0.34-0.72], p < 0.001; HR = 0.32 [0.19-0.56], p < 0.001, respectively).

CONCLUSIONS

Low education levels may independently predict poor survival in MM patients in China.

Spatial Autocorrelation of Breast and Prostate Cancer in Slovakia

Cancer is one of the dominant causes of death in the Slovak population. Monitoring the course of the cancer death rate in Slovakia can be considered as a relevant subject for geographical research. Relatively little is known about the geographic distribution of breast and prostate cancer incidence in Slovakia. In the submitted paper, it is hypothesized that breast and prostate cancer in the examined territory are characterized by different intensities, incidences, and spatial differences. The spatial patterns of breast and prostate cancer in Slovakia were examined by means of spatial autocorrelation analyses with the Local Moran's I and Anselin Local Moran's statistics. Data on standardized death rates of breast and prostate cancer in Slovakia between 2001 and 2018 were used. Prostate cancer in men and breast cancer in women show a positive statistically significant Global Moran's I, whose values indicate a tendency to cluster. The Anselin Local Moran's I analysis indicates significant clusters of breast cancer in the western part of Slovakia, and prostate cancer clusters mostly in the central part of Slovakia. The findings we have obtained in this study may help us investigate further hypotheses regarding the causes and identification of spatial differences in breast and prostate cancer incidence. Our findings might stimulate further research into the possible causes which underlie the clusters.

Area-Based Socioeconomic Inequalities in Colorectal Cancer Survival in Germany: Investigation Based on Population-Based Clinical Cancer Registration

Background: Socioeconomic inequalities in colorectal cancer survival have been observed in many countries. To overcome these inequalities, the underlying reasons must be disclosed.

Methods: Using data from three population-based clinical cancer registries in Germany, we investigated whether associations between area-based socioeconomic deprivation and survival after colorectal cancer depended on patient-, tumor- or treatment-related factors. Patients with a diagnosis of colorectal cancer in 2000–2015 were assigned to one of five deprivation groups according to the municipality of the place of residence using the German Index of Multiple Deprivation. Cox proportional hazards regression models with various levels of adjustment and stratifications were applied.

Results: Among 38,130 patients, overall 5-year survival was 4.8% units lower in the most compared to the least deprived areas. Survival disparities were strongest in younger patients, in rectal cancer patients, in stage I cancer, in the latest period, and with longer follow-up. Disparities persisted after adjustment for stage, utilization of surgery and screening colonoscopy uptake rates. They were mostly still present when restricting to patients receiving treatment according to guidelines.

Conclusion: We observed socioeconomic inequalities in colorectal cancer survival in Germany. Further studies accounting for potential differences in non-cancer mortality and exploring treatment patterns in detail are needed.

Comparable Efficacy and Safety of Generic Imatinib and Branded Imatinib in Patients With Newly Diagnosed Chronic Myeloid Leukemia With a Consideration of Socioeconomic Characteristics: A Retrospective Study From a Single Center

INTRODUCTION

To compare the efficacy and safety of generic and branded imatinib in adults with newly diagnosed chronic myeloid leukemia in the chronic phase (CML-CP), we retrospectively reviewed data from patients CML-CP who received generic or branded imatinib.

PATIENTS AND METHODS

A propensity score matching (PSM) study was performed. A Cox regression model was used to identify factors associated with responses and outcomes.

RESULTS

Four hundred forty-two adults receiving generic imatinib (n = 236) or Glivec (Novartis, Basel, Switzerland; n = 206) were included. There were more patients with rural household registration (P < .001), lower education level (P < .001), divorced or widowed status (P = .009), higher white blood cell counts (P = .019), splenomegaly (P < .001), and longer intervals from diagnosis to imatinib initiation (P = .033) in the generic cohort. During the follow-up, there was no significant difference between the 2 cohorts in the 4-year probabilities of achieving a complete cytogenetic response (97.0% vs. 97.3%; P = .736), major molecular response (87.8% vs. 90.1%; P = .113), and molecular response^4.5 (32.5% vs. 38.8%; P = .186), as well as failure-free survival (77.3% vs. 81.4%; P = .313), progression-free survival (94.4% vs. 95.8%; P = .489), and overall survival (96.8% vs. 98.3%; P = .088). Multivariate analyses showed that the drug type was not associated with responses and outcomes. After the PSM procedure, 177 pairs of patients with comparable baseline characteristics were reanalyzed. Multivariate analyses confirmed that generic or branded imatinib used as first-line therapy was not associated with either responses or outcomes.

CONCLUSION

Sociodemographic characteristics might influence the tyrosine kinase inhibitor that patients chose. Generic and branded imatinib as first-line therapy had comparable efficacy and safety in CML-CP patients.

Nationwide Introduction of Minimally Invasive Robotic Surgery for Early-Stage Endometrial Cancer and Its Association With Severe Complications

Importance

Minimally invasive laparoscopic surgery (MILS) for endometrial cancer reduces surgical morbidity compared with a total abdominal hysterectomy. However, only a minority of women with early-stage endometrial cancer undergo MILS.

Objective

To evaluate the association between the Danish nationwide introduction of minimally invasive robotic surgery (MIRS) and severe complications in patients with early-stage endometrial cancer.

Design, Setting, and Participants

In this nationwide prospective cohort study of 5654 women with early-stage endometrial cancer who had undergone surgery during the period from January 1, 2005, to June 30, 2015, data from the Danish Gynecological Cancer Database were linked with national registers on socioeconomic status, deaths, hospital diagnoses, and hospital treatments. The women were divided into 2 groups; group 1 underwent surgery before the introduction of MIRS in their region, and group 2 underwent surgery after the introduction of MIRS. Women with an unknown disease stage, an unknown association with MIRS implementation, unknown histologic findings, sarcoma, or synchronous cancer were excluded, as were women who underwent vaginal or an unknown surgical type of hysterectomy. Statistical analysis was conducted from February 2, 2017, to May 4, 2018.

Exposure

Minimally invasive robotic surgery, MILS, or total abdominal hysterectomy.

Main Outcomes and Measures

Severe complications were dichotomized and encompassed death within 30 days after surgery and intraoperative and postoperative complications diagnosed within 90 days after surgery.

Results

A total of 3091 women (mean [SD] age, 67 [10] years) were allocated to group 1, and a total of 2563 women (mean [SD] age, 68 [10] years) were allocated to group 2. In multivariate logistic regression analyses, the odds of severe complications were significantly higher in group 1 than in group 2 (odds ratio [OR], 1.39; 95% CI, 1.11-1.74). The proportion of women undergoing MILS was 14.1% (n = 436) in group 1 and 22.2% in group 2 (n = 569). The proportion of women undergoing MIRS in group 2 was 50.0% (n = 1282). In group 2, multivariate logistic regression analyses demonstrated that a total abdominal hysterectomy was associated with increased odds of severe complications compared with MILS (OR, 2.58; 95% CI, 1.80-3.70) and MIRS (OR, 3.87; 95% CI, 2.52-5.93). No difference was found for MILS compared with MIRS (OR, 1.50; 95% CI, 0.99-2.27).

Conclusions and Relevance

The national introduction of MIRS changed the surgical approach for early-stage endometrial cancer from open surgery to minimally invasive surgery. This change in surgical approach was associated with a significantly reduced risk of severe complications.

Socioeconomic differences and lung cancer survival in Germany: Investigation based on population-based clinical cancer registration

OBJECTIVES

Studies from several countries reported socioeconomic inequalities in lung cancer survival. Hypothesized reasons are differences in cancer care or tumor characteristics. We investigated associations of small-area deprivation and lung cancer survival in Germany and the possible impact of differences in patient, tumor or treatment factors.

MATERIALS AND METHODS

Patients registered with a primary tumor of the lung between 2000-2015 in three German population-based clinical cancer registries were included. Area-based socioeconomic deprivation on municipality level was measured with the categorized German Index of Multiple Deprivation. Association of deprivation with overall survival was investigated with Cox regression models.

RESULTS

Overall, 22,905 patients were included. Five-year overall survival from the least to the most deprived quintile were 17.2%, 15.9%, 16.7%, 15.7%, and 14.4%. After adjustment for patient and tumor factors, the most deprived group had a lower survival compared to the least deprived group (Hazard Ratio (HR) 1.06, 95% confidence interval (CI) 1.01-1.11). Subgroup analyses revealed lower survival in the most deprived compared to the least deprived quintile in patients with stage I-III [HR: 1.14, 95% CI: 1.06-1.22]. The association persisted when restricting to patients receiving surgery but was attenuated for subgroups receiving either chemotherapy or radiotherapy.

CONCLUSION

Our results indicate differences in lung cancer survival according to area deprivation in Germany, which were more pronounced in patients with I-III stage cancer. Future research should address in more detail the underlying reasons for the observed inequalities and possible approaches to overcome them.

Occupational Class and Cancer Survival in Korean Men: Follow-Up Study of Nation-Wide Working Population

Background: We aimed to describe inequalities in site-specific cancer survival across different occupational classes in Korean men. Methods: Subjects included cancer diagnosed members of the national employment insurance program during 1995-2008. A total of 134,384 male cases were followed by linking their data to the Death registry until 2009. Occupational classes were categorized according to the Korean Standard Occupational Classification (KSOC). Hazard ratio adjusting age and diagnosed year were calculated for each occupation by cancer sites. Results: Men in service/sales and blue-collar occupations had lower survival of all cancer sites combined and esophagus, stomach, colorectal, liver, larynx, lung, prostate, thyroid cancer and non-Hodgkin's lymphoma than men in professional and managerial positions. Cancer sites with good prognosis like prostate cancer showed wider gap across occupational class. Conclusions: Considerable inequalities in cancer survival were found by occupation among Korean men. Cancer control policy should more focus on lower socioeconomic occupational class.

[Comparison of the efficacy and safety of Chinese generic imatinib and branded imatinib in patients with chronic myeloid leukemia in consideration of demographic characteristics]

目的

比较国产和原研伊马替尼一线治疗慢性髓性白血病慢性期（CML-CP）患者的有效性和安全性；探索服用原研伊马替尼获得完全细胞遗传学反应（CCyR）后转换为国产伊马替尼的患者疾病的稳定性和不良反应的变化。

方法

①一线治疗组：回顾性收集和分析2013年10月至2018年8月期间，接受国产仿制伊马替尼（商品名昕维®）或进口原研伊马替尼（商品名格列卫®）作为一线治疗并定期随访、监测的CML-CP连续病例。②转换组：回顾性收集和分析2006年12月至2016年9月期间，接受原研伊马替尼至少获得CCyR后转换为国产仿制伊马替尼治疗的CML-CP连续病例。

结果

①一线治疗组：共409例（国产伊马替尼201例，原研伊马替尼208例）患者入组，中位年龄42（18~83）岁。国产和原研组患者人口学特征差异具有统计学意义：国产伊马替尼组患者中受教育水平更低（P<0.001）、离异或丧偶者比例更高（P=0.004）、农村户籍者比例更高（P<0.001）。两组年龄、性别、Sokal危险度评分、WBC和HGB水平的差异无统计学意义。中位随访25（3~62）个月，国产伊马替尼组和原研伊马替尼组的3年CCyR、主要分子学反应（MMR）、分子学反应4.0（MR4.0）和分子学反应4.5（MR4.5）的累积获得率差异均无统计学意义（97.5%对94.5%，P=0.592；84.3%对93.1%，P=0.208；42.7%对41.7%，P=0.277；25.4%对33.0%，P=0.306），3年无失败生存（FFS）率、无进展生存（PFS）率和总生存（OS）率差异亦无统计学意义（76.7%对81.0%，P=0.448；91.8%对96.3%，P=0.325；95.8%对98.5%，P=0.167）。多因素分析显示，TKI类型不影响患者的治疗反应（CCyR、MMR、MR4.0和MR4.5累积获得率）及结局（FFS、PFS和OS）。两组不良反应发生率也相似。②转换组：共39例患者入组，中位年龄42（23~80）岁，于原研伊马替尼中位治疗38（8~114）个月后换为国产伊马替尼，换药后中位随访39（6~63）个月，23例（58.9%）患者分子学反应维持原来水平，12例（30.8%）分子学反应改善。新发药物不良反应均可耐受。

结论

人口学特征影响CML-CP患者的用药选择。在规范的监测和管理下，国产与原研伊马替尼一线治疗CML-CP患者的有效性和安全性相当。对于接受原研伊马替尼后获得稳定治疗反应的患者，可有效、安全地转换为国产伊马替尼。

The respective parts of incidence and lethality in socioeconomic differences in cancer mortality. An analysis of the French network Cancer registries (FRANCIM) data

Background

To determine relevant public health actions and to guide intervention priorities, it is of great importance to assess the relative contribution of incidence and lethality to social inequalities in cancer mortality.

Methods

The study population comprised 185,518 cases of cancer diagnosed between 2006 and 2009 recorded in the French registries. Survival was known for each patient (endpoint: 30/06/2013). Deprivation was assessed using the European Deprivation Index. We studied the influence of deprivation on mortality, incidence and lethality rates and quantified the respective proportions of incidence and lethality in social inequalities in mortality by calculating attributable deaths.

Results

For cancers with social inequalities both in incidence and lethality, excess mortality in deprived was mainly caused by social inequalities in incidence (e.g. men lung cancer: 87% of excess deaths in the deprived caused by inequalities in incidence). Proportions were more balanced for some cancer sites (e.g. cervical cancer: 56% incidence, 44% lethality). For cancer sites with a higher incidence in the least deprived (e.g. breast cancer), the excess-lethality in deprived leads entirely the higher mortality among the deprived.

Conclusions

Most of the excess mortality in deprived is due to the excess incidence of tobacco-dependent cancers and the excess lethality of screenable cancers.

Are social inequalities in acute myeloid leukemia survival explained by differences in treatment utilization? Results from a French longitudinal observational study among older patients

Background

Evidences support social inequalities in cancer survival. Studies on hematological malignancies, and more specifically Acute Myeloid Leukemia (AML), are sparser. Our study assessed: 1/ the influence of patients’ socioeconomic position on survival, 2/ the role of treatment in this relationship, and 3/ the influence of patients’ socioeconomic position on treatment utilization.

Methods

This prospective multicenter study includes all patients aged 60 and older, newly diagnosed with AML, excluding promyelocytic subtypes, between 1st January 2009 to 31st December 2014 in the South-West of France. Data came from medical files. Patients’ socioeconomic position was measured by an ecological deprivation index, the European Deprivation Index. We studied first, patients’ socioeconomic position influence on overall survival (n = 592), second, on the use of intensive chemotherapy (n = 592), and third, on the use of low intensive treatment versus best supportive care among patients judged unfit for intensive chemotherapy (n = 405).

Results

We found an influence of patients’ socioeconomic position on survival (highest versus lowest position HR_Q5: 1.39 [1.05;1.87] that was downsized to become no more significant after adjustment for AML ontogeny (HR_Q5: 1.31[0.97;1.76] and cytogenetic prognosis HR_Q5: 1.30[0.97;1.75]). The treatment was strongly associated with survival. A lower proportion of intensive chemotherapy was observed among patients with lowest socioeconomic position (OR_Q5: 0.41[0.19;0.90]) which did not persist after adjustment for AML ontogeny (OR_Q5: 0.59[0.25;1.40]). No such influence of patients’ socioeconomic position was found on the treatment allocation among patients judged unfit for intensive chemotherapy.

Conclusions

Finally, these results suggest an indirect influence of patients’ socioeconomic position on survival through AML initial presentation.

Electronic supplementary material

The online version of this article (10.1186/s12885-019-6093-3) contains supplementary material, which is available to authorized users.

Impact of age on the use of adjuvant treatments in patients undergoing surgery for colorectal cancer: patients with stage III colon or stage II/III rectal cancer

Background

Many older patients don’t receive appropriate oncological treatment. Our aim was to analyse whether there are age differences in the use of adjuvant chemotherapy and preoperative radiotherapy in patients with colorectal cancer.

Methods

A prospective cohort study was conducted in 22 hospitals including 1157 patients with stage III colon or stage II/III rectal cancer who underwent surgery. Primary outcomes were the use of adjuvant chemotherapy for stage III colon cancer and preoperative radiotherapy for stage II/III rectal cancer. Generalised estimating equations were used to adjust for education, living arrangements, area deprivation, comorbidity and clinical tumour characteristics.

Results

In colon cancer 92% of patients aged under 65 years, 77% of those aged 65 to 80 years and 27% of those aged over 80 years received adjuvant chemotherapy (χ²_trends < 0.001). In rectal cancer preoperative radiotherapy was used in 68% of patients aged under 65 years, 60% of those aged 65 to 80 years, and 42% of those aged over 80 years (χ²_trends < 0.001). Adjusting by comorbidity level, tumour characteristics and socioeconomic level, the odds ratio of use of chemotherapy compared with those under age 65, was 0.3 (0.1–0.6) and 0.04 (0.02–0.09) for those aged 65 to 80 and those aged over 80, respectively; similarly, the odds ratio of use of preoperative radiotherapy was 0.9 (0.6–1.4) and 0.5 (0.3–0.8) compared with those under 65 years of age.

Conclusions

The probability of older patients with colorectal cancer receiving adjuvant chemotherapy and preoperative radiotherapy is lower than that of younger patients; many of them are not receiving the treatments recommended by clinical practice guidelines. Differences in comorbidity, tumour characteristics, curative resection, and socioeconomic factors do not explain this lower probability of treatment. Research is needed to identify the role of physical and cognitive functional status, doctors’ attitudes, and preferences of patients and their relatives, in the use of adjuvant therapies.

Electronic supplementary material

The online version of this article (10.1186/s12885-019-5910-z) contains supplementary material, which is available to authorized users.

Using ecological socioeconomic position (SEP) measures to deal with sample bias introduced by incomplete individual-level measures: inequalities in breast cancer stage at diagnosis as an example

BACKGROUND

When studying the influence of socioeconomic position (SEP) on health from data where individual-level SEP measures may be missing, ecological measures of SEP may prove helpful. In this paper, we illustrate the best use of ecological-level measures of SEP to deal with incomplete individual level data. To do this we have taken the example of a study examining the relationship between SEP and breast cancer (BC) stage at diagnosis.

METHODS

Using population based-registry data, all women over 18 years newly diagnosed with a primary BC in 2007 were included. We compared the association between advanced stage at diagnosis and individual SEP containing missing data with an ecological level SEP measure without missing data. We used three modelling strategies, 1/ based on patients with complete data for individual-SEP (n = 1218), or 2/ on all patients (n = 1644) using an ecological-level SEP as proxy for individual SEP and 3/ individual-SEP after imputation of missing data using an ecological-level SEP.

RESULTS

The results obtained from these models demonstrate that selection bias was introduced in the sample where only patients with complete individual SEP were included. This bias is redressed by using ecological-level SEP to impute missing data for individual SEP on all patients. Such a strategy helps to avoid an ecological bias due to the use of aggregated data to infer to individual level.

CONCLUSION

When individual data are incomplete, we demonstrate the usefulness of an ecological index to assess and redress potential selection bias by using it to impute missing individual SEP.