Disparities in survival of stomach cancer among different socioeconomic groups in North-East Netherlands

Background: Survival differences in stomach cancer are depended on patient, tumour and treatment factors. Some populations are more prone to develop stomach cancer, such as people with low socioeconomic status (SES). The aim of this population based study was to assess whether differences in socioeconomic status (SES) alone, after adjusting for confounding factors, also influence survival. Methods: From 1989 to 2007 all patients with stomach cancer were selected from the cancer registry of the Comprehensive Cancer Centre North-East. Postal code at diagnosis was used to determine SES, dividing patients in three groups; low, intermediate and high SES. Associations between age, localization, grade, stage, and treatment were determined using Chi-square analysis. Relative survival analysis was used to estimate relative excess risk (RER) of dying according to SES. Results: In low SES neighbourhoods diagnosis was established at older age. More distal tumours were detected in patients with low SES, whereas pathology showed more poorly differentiated tumours in patients with high SES. Overall, more resections were performed in, and more chemotherapy was administrated to patients in high SES neighbourhoods. After adjusting for confounding factors, the risk of dying was lower for patients with high SES (RER 0.89, 95% Confidence Interval 0.81–0.98) compared to patients with low SES. Conclusion: SES proved to be an independent prognostic factor for survival in patients with stomach cancer.     

Socioeconomic status and its relation with breast cancer recurrence and survival in young women in the Netherlands

BackgroundAssociations between socioeconomic status (SES) and breast cancer survival are most pronounced in young patients. We further investigated the relation between SES, subsequent recurrent events and mortality in breast cancer patients < 40 years. Using detailed data on all recurrences that occur between date of diagnosis of the primary tumor and last observation, we provide a unique insight in the prognosis of young breast cancer patients according to SES.MethodsAll women < 40 years diagnosed with primary operated stage I-III breast cancer in 2005 were selected from the nationwide population-based Netherlands Cancer Registry. Data on all recurrences within 10 years from primary tumor diagnosis were collected directly from patient files. Recurrence patterns and absolute risks of recurrence, contralateral breast cancer (CBC) and mortality – accounting for competing risks – were analysed according to SES. Relationships between SES, recurrence patterns and excess mortality were estimated using a multivariable joint model, wherein the association between recurrent events and excess mortality (expected mortality derived from the general population) was included.ResultsWe included 525 patients. The 10-year recurrence risk was lowest in high SES (18.1%), highest in low SES (29.8%). Death and CBC as first events were rare. In high, medium and low SES 13.2%, 15.3% and 19.1% died following a recurrence. Low SES patients had shorter median time intervals between diagnosis, first recurrence and 10-year mortality (2.6 and 2.7 years, respectively) compared to high SES (3.5 and 3.3 years, respectively). In multivariable joint modeling, high SES was significantly related to lower recurrence rates over 10-year follow-up, compared to low SES. A strong association between the recurrent event process and excess mortality was found.ConclusionsHigh SES is associated with lower recurrence risks, less subsequent events and better prognosis after recurrence over 10 years than low SES. Breast cancer risk factors, adjuvant treatment adherence and treatment of recurrence may possibly play a role in this association.     

Ethnic,racial and socioeconomic disparities in breast cancer survival in two Brazilian capitals between 1996 and 2012

ObjectiveTo study the impact of socio-economic status and ethno-racial strata on excess mortality hazard and net survival of women with breast cancer in two Brazilian state capitals.MethodWe conducted a survival analysis with individual data from population-based cancer registries including women with breast cancer diagnosed between 1996 and 2012 in Aracaju and Curitiba. The main outcomes were the excess mortality hazard (EMH) and net survival. The associations of age, year of diagnosis, disease stage, race/skin colour and socioeconomic status (SES) with the excess mortality hazard and net survival were analysed using multi-level spline regression models, modelled as cubic splines with knots at 1 and 5 years of follow-up.ResultsA total of 2045 women in Aracaju and 7872 in Curitiba were included in the analyses. The EMH was higher for women with lower SES and for black and brown women in both municipalities. The greatest difference in excess mortality was seen between the most deprived women and the most affluent women in Curitiba, hazard ratio (HR) 1.93 (95%CI 1.63–2.28). For race/skin colour, the greatest ratio was found in Curitiba (HR 1.35, 95%CI 1.09–1.66) for black women compared with white women. The most important socio-economic difference in net survival was seen in Aracaju. Age-standardised net survival at five years was 55.7% for the most deprived women and 67.2% for the most affluent. Net survival at eight years was 48.3% and 61.0%, respectively. Net survival in Curitiba was higher than in Aracaju in all SES groups.”ConclusionOur findings suggest the presence of contrasting breast cancer survival expectancy in Aracaju and Curitiba, highlighting regional inequalities in access to health care. Lower survival among brown and black women, and those in lower SES groups indicates that early detection, early diagnosis and timely access to treatment must be prioritized to reduce inequalities in outcome among Brazilian women.     

Incidence of gynaecological cancer during the COVID-19 pandemic: A population-based study in the Netherlands

ObjectiveTo study the impact of the COVID-19 pandemic and consequent lockdown on the number of diagnoses of gynaecological malignancies in the Netherlands.MethodsWe performed a retrospective cohort study using data from the Netherlands Cancer Registry (NCR) on women of 18 years and older diagnosed with invasive endometrial, ovarian, cervical or vulvar cancer in the period 2017–2021. Analyses were stratified for age, socioeconomical status (SES) and region.ResultsThe incidence rate of gynaecological cancer was 67/100.000 (n = 4832) before (2017–2019) and 68/100.000 (n = 4833) during (2020) the COVID-19 pandemic. Comparing the number of diagnoses of the two periods for the four types of cancer separately showed no significant difference. During the first wave of COVID-19 (March-June 2020), a clear decrease in number of gynaecological cancer diagnoses was visible (20–34 %). Subsequently, large increases in number of diagnoses were visible (11–29 %). No significant differences in incidence were found between different age groups, SES and regions. In 2021 an increase of 5.9 % in number of diagnoses was seen.ConclusionIn the Netherlands, a clear drop in number of diagnoses was visible for all four types of gynaecological cancers during the first wave, with a subsequent increase in number of diagnoses in the second part of 2020 and in 2021. No differences between SES groups were found. This illustrates good organisation of and access to health care in the Netherlands.     

Impact of geographic area level on measuring socioeconomic disparities in cancer survival in New South Wales,Australia: A period analysis

BackgroundArea-based socioeconomic measures are widely used in health research. In theory, the larger the area used the more individual misclassification is introduced, thus biasing the association between such area level measures and health outcomes. In this study, we examined the socioeconomic disparities in cancer survival using two geographic area-based measures to see if the size of the area matters.MethodsWe used population-based cancer registry data for patients diagnosed with one of 10 major cancers in New South Wales (NSW), Australia during 2004–2008. Patients were assigned index measures of socioeconomic status (SES) based on two area-level units, census Collection District (CD) and Local Government Area (LGA) of their address at diagnosis. Five-year relative survival was estimated using the period approach for patients alive during 2004–2008, for each socioeconomic quintile at each area-level for each cancer. Poisson-regression modelling was used to adjust for socioeconomic quintile, sex, age-group at diagnosis and disease stage at diagnosis. The relative excess risk of death (RER) by socioeconomic quintile derived from this modelling was compared between area-units.ResultsWe found extensive disagreement in SES classification between CD and LGA levels across all socioeconomic quintiles, particularly for more disadvantaged groups. In general, more disadvantaged patients had significantly lower survival than the least disadvantaged group for both CD and LGA classifications. The socioeconomic survival disparities detected by CD classification were larger than those detected by LGA. Adjusted RER estimates by SES were similar for most cancers when measured at both area levels.ConclusionsWe found that classifying patient SES by the widely used Australian geographic unit LGA results in underestimation of survival disparities for several cancers compared to when SES is classified at the geographically smaller CD level. Despite this, our RER of death estimates derived from these survival estimates were generally similar for both CD and LGA level analyses, suggesting that LGAs remain a valuable spatial unit for use in Australian health and social research, though the potential for misclassification must be considered when interpreting research. While data confidentiality concerns increase with the level of geographical precision, the use of smaller area-level health and census data in the future, with appropriate allowance for confidentiality     

No outcome disparities in patients with diffuse large B-cell lymphoma and a low socioeconomic status

IntroductionIn patients with diffuse large B-cell lymphoma (DLBCL) socioeconomic status (SES) is associated with outcome in several population-based studies. The aim of this study was to further investigate the existence of disparities in treatment and survival.MethodsA population-based cohort study was performed including 343 consecutive patients with DLBCL, diagnosed between 2005 and 2012, in the North-west of the Netherlands. SES was based on the socioeconomic position within the Netherlands by use of postal code and categorized as low, intermediate or high. With multivariable logistic regression and Cox proportional hazard models the association between SES and respectively treatment and overall survival (OS) was evaluated.ResultsTwo-third of patients was positioned in low SES. Irrespective of SES an equal proportion of patients received standard immunochemotherapy. SES was not a significant risk indicator for OS (intermediate versus low SES: hazard ratio (HR) 1.31 (95%CI 0.78–2.18); high versus low SES: HR 0.83 (95%CI 0.48–1.46)). The mortality risk remained significantly increased with higher age, advanced performance status, elevated LDH and presence of comorbidity.ConclusionWithin the setting of free access to health care, in this cohort of patients with DLBCL no disparities in treatment and survival were seen in those with lower SES.     

Trends in socioeconomic inequalities in cervical,breast, and colorectal cancer screening participation among women in Japan, 2010–2019

BackgroundIt is known that socioeconomic status (SES) influences the outcome of cancer treatment and this could partly be explained by decreased use of cancer screening services by people of lower SES. Many studies have indicated that low SES, including low educational attainment or unstable employment, was related to nonparticipation in cancer screening. However, studies investigating trends in SES inequalities within cancer screening participation are limited. Our objective was to examine trends in SES inequalities in cervical, breast, and colorectal cancer screening participation among women in Japan between 2010 and 2019.MethodsWe analyzed 189,442, 168,571, 163,341, and 150,828 women in 2010, 2013, 2016, and 2019 respectively, using nationally representative cross-sectional surveys. The main outcome variables are participation in each cancer screening. We used educational attainment and employment status as measures for SES. Multivariable logistic regression analysis, adjusted for age, marital status, educational attainment, and employment status was performed to evaluate the associations between SES and nonparticipation in each cancer screening.ResultsOverall participation rates in each cancer screening increased between 2010 and 2019. Low educational attainment and non-permanent employment status were related to nonparticipation in each cancer screening and inequality according to employment status increased within each screening participation during the study period. For example, dispatched workers were more likely to not participate in cervical cancer screening than permanent workers: in 2010, [aOR 1.11 95 %CI: 1.01 –1.21], and in 2019, [aOR 1.46 95 %CI: 1.34–1.60]. The inequality was greatest in colorectal cancer screening nonparticipation, followed by breast and cervical screening.ConclusionsAlthough the participation rates in each cancer screening have increased, inequality in participation in terms of employment status widened among women in Japan between 2010 and 2019. Reducing inequalities in cancer screening participation is essential for cancer screening intervention policies.     

The combined effect of individual and neighborhood socioeconomic status on cancer survival rates

Background

This population-based study investigated the relationship between individual and neighborhood socioeconomic status (SES) and mortality rates for major cancers in Taiwan.

Methods

A population-based follow-up study was conducted with 20,488 cancer patients diagnosed in 2002. Each patient was traced to death or for 5 years. The individual income-related insurance payment amount was used as a proxy measure of individual SES for patients. Neighborhood SES was defined by income, and neighborhoods were grouped as living in advantaged or disadvantaged areas. The Cox proportional hazards model was used to compare the death-free survival rates between the different SES groups after adjusting for possible confounding and risk factors.

Results

After adjusting for patient characteristics (age, gender, Charlson Comorbidity Index Score, urbanization, and area of residence), tumor extent, treatment modalities (operation and adjuvant therapy), and hospital characteristics (ownership and teaching level), colorectal cancer, and head and neck cancer patients under 65 years old with low individual SES in disadvantaged neighborhoods conferred a 1.5 to 2-fold higher risk of mortality, compared with patients with high individual SES in advantaged neighborhoods. A cross-level interaction effect was found in lung cancer and breast cancer. Lung cancer and breast cancer patients less than 65 years old with low SES in advantaged neighborhoods carried the highest risk of mortality. Prostate cancer patients aged 65 and above with low SES in disadvantaged neighborhoods incurred the highest risk of mortality. There was no association between SES and mortality for cervical cancer and pancreatic cancer.

Conclusions

Our findings indicate that cancer patients with low individual SES have the highest risk of mortality even under a universal health-care system. Public health strategies and welfare policies must continue to focus on this vulnerable group.     

Socioeconomic status and cancer survival in Brazil: Analysis of population data from the municipalities of Aracaju and Curitiba, 1996–2012

IntroductionThe association between socioeconomic status and cancer prognosis has been demonstrated in several countries. Despite the existence of indirect evidence of this phenomenon in Brazil, few studies in this regard are available.ObjectivesThe objective of the present study is to analyse socioeconomic related survival gaps for patients diagnosed with breast, cervical, lung, prostate, and colorectal cancer in the cities of Aracaju (SE) and Curitiba (PR).MethodsUsing population-based data, we estimated net survival by tumour site, year of diagnosis, socioeconomic status and local of residence. Net survival estimation was done with multilevel parametric model allowing flexible spline functions do estimate excess mortality hazards.Results28,005 cases were included in survival analysis. Five-year net survival showed positive association with SES. Intermunicipal survival gaps favouring Aracaju where prominent for breast (reaching 16,1% in 5 years)ObjectivesStudy the impact of socioeconomic factors on cancer survival in two Brazilian capitals. Methods: Survival analysis using population-based cancer data including patients diagnosed with breast, lung, prostate, cervical and colorectal cancer between 1996 and 2012 in Aracaju and Curitiba. Outcomes were excessive mortality hazard (EMH) and 5- and 8-years net survival (NS). The association of race/skin color and socioeconomic level (SES) with EMH and net survival were analyzed using a multilevel regression model with flexible splines.Results28,005 cases were included, 6636 from Aracaju and 21,369 from Curitiba. NS for all diseases studied increased more prominently for Curitiba population. We observed NS gap between the populations of Aracaju and Curitiba that increased or remained stable during the study period, with emphasis on the growth of the difference in NS of lung and colon cancer (among men). Only for cervical cancer and prostate cancer there was a reduction in the intermunicipal gaps. 5-year NS for breast cancer in Aracaju ranged from 55.2% to 73.4% according to SES. In Curitiba this variation was from 66.5% to 83.8%.ConclusionThe results of the present study suggests widening of socioeconomic and regional inequalities in the survival of patients with colorectal, breast, cervical, lung and prostate cancers in Brazil during the 1990 s and 2000 s     

Socioeconomic status,human papillomavirus,and overall survival in head and neck squamous cell carcinomas in Toronto,Canada

BackgroundDespite universal healthcare in some countries, lower socioeconomic status (SES) has been associated with worse cancer survival. The influence of SES on head and neck cancer (HNC) survival is of immense interest, since SES is associated with the risk and prognostic factors associated with this disease.Patients and methodsNewly diagnosed HNC patients from 2003 to 2010 (n = 2124) were identified at Toronto’s Princess Margaret Cancer Centre. Principal component analysis was used to calculate a composite score using neighbourhood-level SES variables obtained from the 2006 Canada Census. Associations of SES with overall survival were evaluated in HNC subsets and by p16 status (surrogate for human papillomavirus).ResultsSES score was higher for oral cavity (n = 423) and p16-positive oropharyngeal cancer (OPC, n = 404) patients compared with other disease sites. Lower SES was associated with worse survival [HR 1.14 (1.06–1.22), p = 0.0002], larger tumor staging (p < 0.001), current smoking (p < 0.0001), heavier alcohol consumption (p < 0.0001), and greater comorbidity (p < 0.0002), but not with treatment regimen (p > 0.20). After adjusting for age, sex, and stage, the lowest SES quintile was associated with the worst survival only for OPC patients [HR 1.66 (1.09–2.53), n = 832], primarily in the p16-negative subset [HR 1.63 (0.96–2.79)]. The predictive ability of the prognostic models improved when smoking/alcohol was added to the model (c-index 0.71 vs. 0.69), but addition of SES did not (c-index 0.69).ConclusionSES was associated with survival, but this effect was lost after accounting for other factors (age, sex, TNM stage, smoking/alcohol). Lower SES was associated with greater smoking, alcohol consumption, comorbidity, and stage.     

宫颈癌放疗患者生活质量的影响因素及与应对方式的关系研究

目的:探讨宫颈癌放疗患者生活质量的影响因素及与应对方式的关系。方法:选取2018年7月2019年11月期间我院收治的宫颈癌放疗患者139例,收集患者临床资料,采用癌症治疗功能评价系统中的宫颈癌量表(FACT-Cx)对宫颈癌患者的生活质量进行评分,采用Jalowiec的应对量表(JCS)记录并评估所有患者的应对方式,并采用Pearson相关性分析生活质量与应对方式的关系。采用单因素及多因素Logistic回归分析宫颈癌放疗患者生活质量的影响因素。结果:宫颈癌放疗患者的FACT-Cx总分与面对、乐观、姑息、依靠自我应对方式评分呈正相关(P<0.05),与情感宣泄、宿命应对方式评分呈负相关(P<0.05),与逃避、支持应对方式评分无相关性(P>0.05)。不同文化程度、年龄、化疗、肿瘤病理类型情况患者之间FACT-Cx总分比较无统计学差异(P>0.05);不同家庭月收入、肿瘤分期、下肢水肿情况、婚姻状况患者之间FACT-Cx总分比较差异有统计学意义(P<0.05)。多因素Logistic回归分析显示,家庭月收入、肿瘤分期、下肢水肿情况、婚姻状况均是宫颈癌放疗患者生活质量的影响因素(P<0.05)。结论:宫颈癌放疗患者生活质量与应对方式存在密切联系,且家庭月收入、肿瘤分期、下肢水肿情况、婚姻状况均是其生活质量的影响因素,临床工作者应结合以上因素对患者放疗方案给予针对性调整。     

The impact of health insurance affiliation and socioeconomic status on cervical cancer survival in Bucaramanga,Colombia

Cervical cancer is still an important cause of death in countries like Colombia. We aimed to determine whether socioeconomic status of residential address (SES) and type of health insurance affiliation (HIA) might be associated with cervical cancer survival among women in Bucaramanga, Colombia. All patients residing in the Bucaramanga Metropolitan Area diagnosed with invasive cervical cancer (ICD-0–3 codes C53.X) between 2008 and 2016 (n = 725) were identified through the population-based cancer registry, with 700 women having follow-up data for >5 years (date of study closure: Dec 31, 2021), yielding an overall 5-year survival estimate (95 % CI) of 56.4 % (52.7 – 60.0 %). KM estimates of 5-year overall survival were obtained to assess differences in cervical cancer survival by SES and HIA. Multivariable Cox-proportional hazards modeling was also conducted, including interaction effects between SES and HIA. Five-year overall survival was lower when comparing low vs. high SES (41.9 % vs 57.9 %, p < 0.0001) and subsidized vs. contributive HIA (45.1 % vs 63.0 %, p < 0.0001). Multivariable Cox modeling showed increased hazard ratios (HR) of death for low vs. high SES (HR = 1.78; 95 % CI = 1.18–2.70) and subsidized vs. contributive HIA (HR = 1.44; 95 % CI = 1.13–1.83). The greatest disparity in HR was among women of low SES affiliated to subsidized HIA (vs. contributive HIA and high SES) (HR=2.53; 95 % CI = 1.62–3.97). Despite Colombia’s universal healthcare system, important disparities in cervical cancer survival by health insurance affiliation and socioeconomic status remain.     

化疗对乳腺癌患者激素水平及月经状态的影响

目的:讨论乳腺癌患者术后辅助化疗对患者激素水平及月经状况的影响。方法:收集我院2014年1月-2015年8月初诊绝经前乳腺癌患者78例,绝经后乳腺癌患者50例,检测化疗前及化疗结束后的雌二醇(E2)、黄体生成素(LH)、卵泡刺激素(FSH)水平,随访绝经前乳腺癌患者化疗期间及化疗后月经变化情况。结果:绝经前乳腺癌患者化疗后E2水平明显下降,FSH、LH水平明显升高,差异具有统计学意义(P0.05),绝经后乳腺癌患者化疗后E2水平无明显变化(P0.05),FSH、LH水平均下降,差异具有统计学意义(P0.05)。绝经前乳腺癌患者三个不同年龄段化疗后E2水平降低,而FSH、LH水平升高,差异具有统计学意义(P0.05),但三个不同年龄段患者化疗前后性激素水平组间比较均无统计学差异(P0.05)。绝经前乳腺癌患者三个不同年龄段化疗后闭经率比较差异具有统计学意义(P0.05)。绝经前乳腺癌患者化疗后闭经患者E2水平明显低于未闭经患者,FSH、LH水平明显高于未闭经患者,差异具有统计学意义(P0.05)。结论:化疗可影响乳腺癌患者E2、FSH、LH水平,导致患者闭经,闭经情况与患者年龄有关。     

卡培他滨联合奥沙利铂治疗晚期结直肠癌的疗效及对生活质量的影响

目的:探讨卡培他滨联合奥沙利铂治疗晚期结直肠癌患者的临床疗效及对患者生活质量的影响。方法:选取我院2013年3月-2015年12月收治的40例晚期结直肠癌患者,按乱数表法分为观察组和对照组各20例。对照组给予卡培他滨治疗,观察组给予卡培他滨联合奥沙利铂治疗,两组均治疗3周期。对比两组患者治疗后4周的客观缓解率和临床受益率,对比两组患者治疗前、治疗后4周的功能状态评分(KPS)和体力状况评分(ZPS),对比两组患者6个月、1年生存率以及并发症发生率。结果:治疗后4周观察组临床受益率和客观缓解率显著高于对照组,差异有统计学意义(P0.05);与治疗前相比,治疗后4周两组KPS评分显著升高,ZPS评分显著降低,差异均有统计学意义(P0.05);与对照组相比,治疗后4周观察组KPS评分显著升高,ZPS评分显著降低,差异均有统计学意义(P0.05);两组患者在治疗过程中恶心呕吐、口腔黏膜炎、贫血、血小板减少、白细胞减少、腹泻等并发症发生率比较差异均无统计学意义(P0.05);观察组1年生存率显著高于对照组,差异有统计学意义(P0.05)。结论:卡培他滨联合奥沙利铂治疗晚期结直肠癌患者疗效较好,能提高患者的客观缓解率、临床受益率、生活质量和1年生存率,较单用卡培他滨治疗优势明显,值得临床推广。     

食管癌术后患者癌因性疲乏现状调查及与社会支持和生存质量的相关性分析

摘要 目的：调查食管癌术后患者癌因性疲乏现状,分析其影响因素,同时观察癌因性疲乏与社会支持和生存质量的相关性。方法：选取2019年7月~2021年4月期间在我院住院治疗的食管癌术后患者180例,统计并整理所有患者的临床资料,采用社会支持评定量表（SSRS）评价所有患者的社会支持情况,采用世界卫生组织生存质量测定量表简表（WHOQOL-BREF）评价所有患者的生存质量,采用Piper疲乏量表（PFS）评价所有患者癌因性疲乏情况。应用Pearson检验分析PFS评分与SSRS评分和WHOQOL-BREF评分的相关性,采用单因素及多因素Logistic回归分析癌因性疲乏的影响因素。结果：180例食管癌术后患者共有141例发生癌因性疲乏,发生率为78.33%。根据食管癌患者术后是否发生癌因性疲乏分为两组：癌因性疲乏组（n=141）和无癌因性疲乏组（n=39）。其中癌因性疲乏组PFS评分为（6.37±1.29）分。单因素分析结果显示,食管癌术后患者癌因性疲乏与与年龄、睡眠、营养状况、疼痛程度、社会支持度、简明心境量表（POMS-SF）评分有关（P<0.05）。多因素Logistic回归分析结果显示：年龄、睡眠、营养状况、疼痛程度、社会支持度、POMS-SF评分均是食管癌术后患者癌因性疲乏的影响因素(P＜0.05)。无癌因性疲乏组SSRS各维度评分及总分和WHOQOL-BREF各维度评分及总分均高于癌因性疲乏组（P<0.05）。Pearson相关分析结果显示,PFS评分与SSRS评分和WHOQOL-BREF评分均呈负相关（P<0.05）。结论：食管癌术后患者癌因性疲乏发生率较高,且受到年龄、睡眠、营养状况、疼痛程度、社会支持度、POMS-SF评分的影响,同时还与生存质量及社会支持度具有一定联系,临床应重视相关影响因素,给予及时的干预,以预防癌因性疲乏的发生或减轻癌因性疲乏程度。     

Geographic variations in cancer incidence and mortality in the State of São Paulo,Brazil 2001–17

BackgroundCancer is a leading cause of morbidity and mortality in Brazil and the burden is rising. To better inform tailored cancer actions, we compare incidence and mortality profiles according to small areas in the capital and northeast region of the State of São Paulo for the leading cancer types.MethodsNew cancer cases were obtained from cancer registries covering the department of Barretos (2003–2017) and the municipality of São Paulo (2001–2015). Cancer deaths for the same period were obtained from a Brazilian public government database. Age-standardized rates per 100,000 persons-years by cancer and sex are presented as thematic maps, by municipality for Barretos region, and by district for São Paulo.ResultsProstate and breast cancer were the leading forms of cancer incidence in Barretos, with lung cancer leading in terms of cancer mortality in both regions. The highest incidence and mortality rates were seen in municipalities from the northeast of Barretos region in both sexes, while elevated incidence rates were mainly found in São Paulo districts with high and very high socioeconomic status (SES), with mortality rates more dispersed. Breast cancer incidence rates in São Paulo were 30 % higher than Barretos, notably in high and very high SES districts, while corresponding rates of cervical cancer conveyed the opposite profile, with elevated rates in low and medium SES districts.ConclusionsThere is substantial diversity in the cancer profiles in the two regions, by cancer type and sex, with a clear relation between the cancer incidence and mortality patterns observed at the district level and corresponding SES in the capital.     

Individual- and Neighborhood-Level Predictors of Mortality in Florida Colorectal Cancer Patients

Purpose

We examined individual-level and neighborhood-level predictors of mortality in CRC patients diagnosed in Florida to identify high-risk groups for targeted interventions.

Methods

Demographic and clinical data from the Florida Cancer Data System registry (2007–2011) were linked with Agency for Health Care Administration and US Census data (n = 47,872). Cox hazard regression models were fitted with candidate predictors of CRC survival and stratified by age group (18–49, 50–64, 65+).

Results

Stratified by age group, higher mortality risk per comorbidity was found among youngest (21%), followed by middle (19%), and then oldest (14%) age groups. The two younger age groups had higher mortality risk with proximal compared to those with distal cancer. Compared with private insurance, those in the middle age group were at higher death risk if not insured (HR = 1.35), or received healthcare through Medicare (HR = 1.44), Medicaid (HR = 1.53), or the Veteran’s Administration (HR = 1.26). Only Medicaid in the youngest (52% higher risk) and those not insured in the oldest group (24% lower risk) were significantly different from their privately insured counterparts. Among 18–49 and 50–64 age groups there was a higher mortality risk among the lowest SES (1.17- and 1.23-fold higher in the middle age and 1.12- and 1.17-fold higher in the older age group, respectively) compared to highest SES. Married patients were significantly better off than divorced/separated (HR = 1.22), single (HR = 1.29), or widowed (HR = 1.19) patients.

Conclusion

Factors associated with increased risk for mortality among individuals with CRC included being older, uninsured, unmarried, more comorbidities, living in lower SES neighborhoods, and diagnosed at later disease stage. Higher risk among younger patients was attributed to proximal cancer site, Medicaid, and distant disease; however, lower SES and being unmarried were not risk factors in this age group. Targeted interventions to improve survivorship and greater social support while considering age classification may assist these high-risk groups.     

不同身体质量指数人群肠道菌群结构及共存网络解析

[背景] 人体能量稳态失衡表现为体重过轻、超重和肥胖,肠道菌群与人体能量稳态的维持有关,但不同身体质量指数（Body Mass Index,BMI）人群的肠道菌群特征仍需进一步探究。[目的] 基于美国肠道计划公开数据库,解析4类BMI人群肠道菌群的特征,并探究4类BMI人群肠道菌群共存网络特征及差异,为基于肠道菌群来干预肥胖及体重过轻等不健康状态提供新的理论依据。[方法] 从美国肠道计划数据集中筛选具有BMI信息的肠道菌群样本,并根据世界卫生组织规定的BMI划分标准将筛选后的样本分为4类：体重过轻（BMI<18.5 kg/m²）,正常体重（18.5 kg/m²2）,超重（25 kg/m²2）,肥胖（BMI>30 kg/m²）;通过计算和比较肠道菌群的α多样性和β多样性探究4类BMI人群肠道菌群的整体结构特征及差异;通过多元线性回归模型对不同BMI分类与肠道菌群进行相关性分析,并且将地域、年龄、性别因素作为混杂因素加入到模型中进行校正;采用SparCC分别计算4类BMI人群肠道菌群中菌属相关性,并分别构建肠道菌群共存网络。[结果] 经过Wilcoxon秩和检验,发现体重过轻、超重、肥胖人群的肠道菌群α多样性都显著低于正常体重人群;β多样性分析结果表明4类BMI人群肠道菌群的整体结构存在显著差异;4类BMI人群肠道中厚壁菌门（Firmicutes）和拟杆菌门（Bacteroidetes）的相对含量无显著差异;通过MaAsLin分析,并且将地域、年龄、性别因素作为混杂因素加入到模型中进行校正,共得到49个与BMI类型显著相关的物种;4类BMI人群肠道菌群共存网络的拓扑结构具有一定差异,体重过轻和正常体重人群肠道菌群共存网络的复杂度较高,超重和肥胖人群肠道菌群共存网络的复杂度较低。[结论] 4类BMI人群肠道菌群的多样性、整体结构和共存网络间均存在差异。     

Determinants of End-of-Life Expenditures in Patients with Oral Cancer in Taiwan: A Population-Based Study

BackgroundTo investigate the association of basic demographic data, socioeconomic status, medical services, and hospital characteristics with end-of-life expenditure in patients with oral cancer in Taiwan who died between 2009 to 2011.MethodsThis nationwide population-based, retrospective cohort study identified 5,386 patients who died from oral cancer. We evaluated medical cost in the last month of life by universal health insurance. The impact of each variable on the end-of-life expenditure was examined by hierarchical generalized linear model (HGLM) using a hospital-level random-intercept model.ResultsThe mean medical cost in the last six months of life was $2,611±3,329 (U.S. dollars). In HGLM using a random-intercept model, we found that patients younger than 65 years had an additional cost of $819 over those aged ≥65 years. Patients who had a high Charlson Comorbidity Index Score (CCIS) had an additional $616 cost over those with a low CCIS. Those who survived post-diagnosis less than 6 months had an additional $659 in expenses over those who survived more than 24 months. Medical cost was $249 more for patients who had medium to high individual SES, and $319 more for those who were treated by non-oncologists.ConclusionThis study provides useful information for decision makers in understanding end-of-life expenditure in oral cancer. We found significantly increased end-of-life expenditure in patients if they were younger than 65 years or treated by non-oncologists, or had high CCIS, medium to high individual SES, and survival of less than 6 months after diagnosis.     

The Association of Socioeconomic Status and Access to Low-Volume Service Providers in Breast Cancer

Background

No large-scale study has explored the combined effect of patients’ individual and neighborhood socioeconomic status (SES) on their access to a low-volume provider for breast cancer surgery. The purpose of this study was to explore under a nationwide universal health insurance system whether breast cancer patients from a lower individual and neighborhood SES are disproportionately receiving breast cancer surgery from low-volume providers.

Methods

5,750 patients who underwent breast cancer surgery in 2006 were identified from the Taiwan National Health Insurance Research Database. The Cox proportional hazards model was used to compare the access to a low-volume provider between the different individual and neighborhood SES groups after adjusting for possible confounding and risk factors. Hosmer-Lemeshow goodness-of-fit statistic was used to determine how well the model fit the data.

Results

Univariate analysis data shows that patients in disadvantaged neighborhood were more likely to receive breast cancer surgery at low-volume hospitals; and lower-SES patients were more likely to receive surgery from low-volume surgeons. In multivariate analysis, after adjusting for patient characteristics, the odds ratios of moderate- and low-SES patients in disadvantaged neighborhood receiving surgery at low-volume hospitals was 1.47 (95% confidence interval=1.19-1.81) and 1.31 (95% confidence interval=1.05-1.64) respectively compared with high-SES patients in advantaged neighborhood. Moderate- and low-SES patients from either advantaged or disadvantaged neighborhood had an odds ratios ranging from 1.51 to 1.80 (p<0.001) to receiving surgery from low-volume surgeons. In Hosmer-Lemeshow goodness-of-fit test, p>0.05 that shows the model has a good fit.

Conclusions

In this population-based cross-sectional study, even under a nationwide universal health insurance system, disparities in access to healthcare existed. Breast cancer patients from a lower individual and neighborhood SES are more likely to receive breast cancer surgery from low-volume providers. The authorities and public health policies should keep focusing on these vulnerable groups.