scholarly journals Municipality and Adjusted Gross Income Influence Outcome of Patients Diagnosed with Pancreatic Cancer in a Newly Developed Cancer Center in Mercer County New Jersey, USA, a Single Center Study

Cancers ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1498
Author(s):  
Cataldo Doria ◽  
Patrick De Deyne ◽  
Sherry Dolan ◽  
Jooyeun Chung ◽  
Karen Yatcilla ◽  
...  

Socioeconomic status (SES) correlates directly to ZIP code. Mercer County is not atypical as a collection of a dozen municipalities with a suburban/metropolitan population of 370,430 in the immediate vicinity of a major medical center. The purpose of this study for Mercer County, New Jersey, USA is to determine whether a patient’s ZIP code is related to the outlook of pancreatic cancer defined as staging at diagnosis, prevalence, overall survival, type of insurance, and recurrence. Our hypothesis was that specific variables such as socio-economic status or race could be linked to the outcome of patients with pancreatic cancer. We interrogated a convenience sample from our cancer center registry and obtained 479 subjects diagnosed with pancreatic cancer in 1998-2018. We selected 339 subjects by ZIP code, representing the plurality of the cases in our catchment area. The outcome variable was overall survival; predictor variables were socio-economic status (SES), recurrence, insurance, type of treatment, gender, cancer stage, age, and race. We converted ZIP code to municipality and culled data using adjusted gross income (AGI, FY 2017). Comparative statistical analysis was performed using chi-square tests for nominal and ordinal variables, and a two-way ANOVA test was used for continuous variables; the p-value was set at 0.05. Our analysis confirmed that overall survival was significantly higher for Whites and for individuals who live in a municipality with a high SES. Tumor stage at the time of diagnosis was not different among race and SES; however, statistically significant differences for race or SES existed in the type of treatment received, with disparities found in those who received radiation therapy and surgery but not chemotherapy. The data may point to a lack of access to specific care modalities that subsequently may lead to lower survival in an underserved population. Access to care, optimal nutritional status, overall fitness, and co-morbidities could play a major role and confound the results. Our study suggests that low SES has a negative impact on overall pancreatic cancer survival. Surgery for pancreatic cancer should be appropriately decentralized to those community cancer centers that possess the expertise and the infrastructure to carry out specialized treatments regardless of race, ethnicity, SES, and insurance.

2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 280-280
Author(s):  
Jose Mario Pimiento ◽  
Tai Hutchinson ◽  
Jill M. Weber ◽  
Manish R. Patel ◽  
Pamela Joy Hodul ◽  
...  

280 Background: Multimodality therapy has been advocated for borderline resectable pancreatic cancer (BRCP); however, specific regimens vary widely by institution. Outcomes of these interventions need to be examined to inform future investigation of the optimal therapy for these patients. This study represents the experience of multimodality therapy for BRPC at an NCI designated cancer center. Methods: We identified all patients (pts) with operable pancreatic ductal adenocarcinoma (PDA) from 2006 to 2011. Patients were divided into two groups: resectable group and BRPC group as per the NCCN and AHPBA consensus guidelines. Primary outcomes were resection rate, microscopic negative margin (R0) resection rate, overall survival (OS), and disease free survival (DFS). Fisher's exact and chi-square were used for group comparison while Kaplan-Meier estimates was used for survival analysis. Results: 160pts were identified with operable PDA. 100 (63%) pts had resectable tumors, and 60 (37%) pts had borderline resectable tumors. Neoadjuvant therapy (NT) was administered to 0% in the group with resectable tumors, and 100% in the group with borderline resectable tumors. The resection rate was 100% in pts with resectable tumors and 58% in pts with borderline resectable tumors. R0 resection rates were 80% in the resectable tumors and 97% in the borderline resectable tumors following NT. Perioperative mortality was <1% (1/125) for resectable tumors and 0% in borderline resectable tumors. Median OS was 22.6 months (m) for pts that had resectable tumors and 13.9m for all pts with borderline resectable tumors (p=0.017); however, the median OS for resected pts with borderline resectable tumors was 21.5m (p=0.6). Improved DFS was seen in patients with resectable tumors when compared with resected borderline resectable tumors (15 vs. 9.5m; p=0.04). Conclusions: Multimodality therapy leads to high rates of R0 resections in borderline resectable pancreatic cancer; however 42% of patients progressed during NT. The overall survival for patients with resected borderline resectable pancreatic cancer following NT is similar to patients who undergo resection for resectable pancreatic cancer.


2012 ◽  
Vol 30 (4_suppl) ◽  
pp. 380-380
Author(s):  
Christina Wai ◽  
Karthik Devarajan ◽  
John Parker Hoffman

380 Background: ABO blood group has been shown to be a risk factor in many gastrointestinal cancers. Recent studies have shown that patients with non-O blood groups have a higher risk of pancreatic adenocarcinoma compared to those with blood group O. Based on this finding, we were interested in seeing if a particular ABO blood group would have an impact on survival outcomes in pancreatic cancer. Methods: A retrospective chart review of 236 pancreatic patients who underwent surgical resection at a major cancer center from January 1998 to July 2011 was performed. Data were collected for demographics, ABO blood group, Rh factor, CA 19-9 level, use of neoadjuvant therapy, pathological stage, surgical margins and peritoneal washings. Overall survival (OS) was compared amongst the different blood groups. Results: There were 118 male and 118 female patients. The median age at diagnosis was 68. Of the 236 patients, 80 (33.9%) were blood group O, 108 (45.8%) were blood group A, 32 (13.6%) were blood group B and 16 (6.8%) were blood group AB. For all patients, there was no statistically significant association between ABO blood group and OS (log rank test p = 0.7). Furthermore, no survival difference was seen between O and non-O blood groups when the data was stratified by stage and neoadjuvant therapy. Conclusions: Like other GI malignancies, ABO groups have been shown to be linked to the risk of pancreatic cancer. The mechanism by which this occurs is not completely clear. In our analysis of ABO blood groups, they were not shown to be prognostic indicators. There does not appear to be a difference in overall survival between patients with O blood group and those with non-O blood groups.


2019 ◽  
Vol 37 (4_suppl) ◽  
pp. 232-232 ◽  
Author(s):  
Ramesh Kumar Pandey ◽  
Kristen Sorice ◽  
Jiangtao Gou ◽  
Shannon M. Lynch ◽  
Aryeh Blumenreich ◽  
...  

232 Background: The incidence of VTE is relatively high among mPC pts, upto 57%. It is associated with higher health care burden and mortality. We evaluated the mPC pts treated at a single academic center from 2010-16 for prevalence of VTE, its impact on survival and possible risk factors. Methods: Medical charts of mPC pts treated at a single academic center were analyzed retrospectively for VTE diagnosis, overall survival and potential risk factors for VTE development. The factors considered were: age, sex, stage, body mass index, smoking status, surgery, performance status (PS), Charlson comorbidity index (CCI) and treatment. Logistic regression was used to identify the factors correlating with VTE and Cox Proportional Hazard model was used to evaluate overall survival (OS) differences between those with VTE (Gp A) and those without VTE (Gp B). Results: Out of the 439 mPC pts (52% males, 86% with PS0-1, 63% with stage IV at diagnosis), 127 (29%) were in Gp A and 312 (71%) in Gp B. The groups were well balanced with respect to all factors except age (median age 67 Gp A; 65 in Gp B, p = 0.04). 2.3 % of pts in Gp A and 4.8 % pts in Gp B were on anticoagulation for reason other than VTE treatment. Within Gp A, 55% developed VTE after diagnosis of metastasis. A clear separation of the survival curves noted beyond the median OS (9 m, P = 0.02), favoring GpB. Statistically significant factors associated with risk of VTE included advanced stage at diagnosis (P = 0.004) and worse PS (P = 0.005). Treatment regimen used and CCI didn’t correlate with the risk of development of VTE. Conclusions: The incidence rate of VTE in our patients is lower than published literature, yet the diagnosis of VTE was associated with worse OS. Most cases occurred after the diagnosis of metastatic disease. The higher use of anticoagulants for other medical causes may be contributing to a lower incidence of VTE in mPC. These findings need prospective Validation.


2020 ◽  
Vol 38 (15_suppl) ◽  
pp. e19034-e19034
Author(s):  
Amy Leader ◽  
Lauren Waldman ◽  
Liana Yocavitch ◽  
Ayako Shimada ◽  
Rebecca Cammy ◽  
...  

e19034 Background: Low health literacy is more prevalent among older adults and minority populations, and it has been linked to excess health care utilization and poor health outcomes in cancer patients. Screening for health literacy may improve communication and care, such that discussions and information can be tailored to patient need. The purpose of this study was to describe health literacy levels and correlates among patients at an urban, NCI-designated cancer center. Methods: In September 2019, we began health literacy screening for each newly diagnosed, English-speaking cancer patient. Patients were categorized as having low, medium, or high health literacy using the BRIEF health literacy screener; results are visible in the EMR. For this analysis, we included patient age, gender, insurance type, race/ethnicity, and socio-economic status (SES), which was calculated using an Area Deprivation Index (ADI) ranging from 0 (no deprivation) to 100 (extreme deprivation). Data was summarized using descriptive statistics; ANOVA and Chi-squared tests investigated associations between patient’s health literacy levels and potential correlates. Results: Among 284 patients, 68%, (n = 195) were Caucasian, 25% (n = 70) were African American and 7%, (n = 19) identified as Hispanic, Asian American or some other race. Seventy-five percent (n = 211) were male; the mean age was 63 years (SD: 12). The mean ADI was 42 (SD: 28), indicating a low to moderate SES. Seventy percent (n = 200) had a high health literacy score, 20% (n = 57) had a medium score, and 10% (n = 27) had a low health literacy score. Only a patient’s race/ethnicity and the ADI were significantly associated with their health literacy score. Seventy-seven percent of Caucasian patients had high health literacy scores compared to 59% of African American patients and 48% patients of Hispanic, Asian or some other origin (P < .001). Patients with low health literacy had an ADI score (65.1) that was almost double the score of patients with high health literacy scores (38.5) (p < .001). Conclusions: Roughly one-third of patients seen at this urban cancer center did not have a high health literacy score. Socio-economic status was a stronger correlate to health literacy than patient age, marital status, or insurance type. EMRs should capture a patient’s SES in some manner, as this is strongly associated with health literacy.


RMLE Online ◽  
2014 ◽  
Vol 38 (3) ◽  
pp. 1-9
Author(s):  
Gerard Babo ◽  
Christopher H. Tienken ◽  
Maria A. Gencarelli

Author(s):  
Donna M Buchanan ◽  
Philip G Jones ◽  
Kymberley K Bennett ◽  
John A Spertus

Background: Numerous studies have examined socio-economic (SES) disparities in cardiovascular outcomes. However, these studies often use different metrics to quantify SES (e.g. zip code, income, education, questionnaires). Consequently, the field suffers from the lack of a unifying conceptual model through which these different assessment techniques can be integrated. We sought to explore what fundamental factors may be present in a number of SES items collected within an MI registry. Methods: In the 19-center PREMIER registry of 2481 post-MI patients, we collected data on 9 items measuring different aspects of patients' SES and used exploratory factor analysis to identify underlying constructs measured by these items. Results: Two factors emerged (see figure), “general SES” (GSES) and “healthcare-related SES” (HSES), which explained 63% of the variability among the 9 items. Four items loaded on GSES, 6 loaded on HSES and one (end-of-month financial reserves) was shared by both factors. Although wide in range, all loadings were very strong and highly significant. There was a strong correlation between the 2 factors (r = .49). Conclusion: SES is primarily comprised of 2 distinct factors and different modes of assessing SES are variably associated with these constructs. The commonly used SES measures of zip code median income and insurance status had some of the weakest associations with these factors. Future work is needed to validate these factors, to correlate these with outcomes, and to define the most efficient method for measuring these factors so that researchers can more consistently explore SES disparities in outcomes and develop interventions to overcome them.


2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Debashree Sinha ◽  
Prem Shankar Mishra ◽  
Shobhit Srivastava ◽  
Pradeep Kumar

Abstract Background Violence against older adults is a well-recognised socio-psychological and public health problem. It is uncared-for, undiagnosed, and an untreated problem that is widespread across both developed and developing countries. The present paper aims to understand the extent of the socio-economic status related inequality in violence against older adults in India. Methods The study uses data from Building a Knowledge Base on Population Aging in India (BKPAI). Violence against older adults is the outcome variable for the study and is defined as older adults who faced any abuse or violence or neglect or disrespect by any person. Bivariate analysis and regression-based decomposition technique is used to understand the relative contribution of various socio-economic factors to violence against older adults (N = 9541). Results The prevalence of violence faced by older adults was 11.2%. Older adults aged 80+ years [OR: 1.49; CI: 1.14–1.93] and working [OR: 1.26; CI: 1.02–1.56] had higher likelihood to face violence than their counterparts. On the other hand, older adults who were currently in union [OR: 0.79; CI: 0.65–0.95], lived with children [OR: 0.53; CI: 0.40–0.72] and who belonged to richer wealth quintile [OR: 0.35; CI:0.24–0.51] had lower likelihood to suffer from violence than their counterparts. The decomposition results revealed that poor older adults were more prone to violence (Concentration index: − 0.20). Household’s wealth status was responsible for explaining 93.7% of the socio-economic status related inequality whereas living arrangement of older adults explained 13.7% of the socio-economic related inequality. Education and working status of older adults made a substantial contribution to the inequalities in reported violence, explaining 3.7% and 3.3% of the total inequality, respectively. Conclusion Though interpretation of the results requires a cautious understanding of the data used, the present study highlights some of the relevant issues faced by the country’s older adults. With no or meagre income of their own, older adults belonging to the poorest wealth quintile have little or no bargaining power to secure a violent free environment for themselves. Therefore, special attention in terms of social and economic support should be given to the economically vulnerable older population.


2021 ◽  
Vol 39 (3_suppl) ◽  
pp. 427-427
Author(s):  
Abhinav Rohatgi ◽  
Aveena Desai ◽  
Alexander A. Hindenburg

427 Background: PC has not been well molecularly characterized and there is an unmet need in our understanding of the biological properties of PC. One previous study has found that the presence of CDKN2A mutations is an independent negative prognostic OS indicator. We evaluated molecular analysis on tumor specimens to determine whether increased mutational burden affects survival. Methods: PDAC samples from patients seen at the NYU Perlmutter Cancer Center at Winthrop Oncology Hematology Associates between 2015-2020 were profiled using next generation sequencing through Foundation Cdx. Genomic data was correlated with mined clinical data. Pt outcomes were correlated with the presence of mutations defined in 3 categories: 3 or less mutations, 4 mutations, 5 or more mutations. Results: Our cohort (N = 81) included 42% men and 58% women. 55% percent had primary (localized and locally advanced) disease and 44% had stage IV disease. Genetic mutations were most commonly found in KRAS, CDKN2A, TP53, NOTCH, SMAD4. Mutations seen less frequently were BRAF, HER2, RB1, ARID1A, MTAP, MLL, BRCA2. 43% of pts had 3 or less mutations, 15% 4 mutations, 42% had 5 or more mutations. There was no difference in number of mutations present between primary vs metastatic cancers. Median PFS was 13.5 months and overall survival (OS) for all pts was 20.0 months. The OS in primary group was 26.1 mos while it was 12.4 mos in the metastatic group. Patients with 5+ mutations had a 1.5 mos decreased OS and a 10% decreased 24-mos OS%. When stratified by primary (localized) disease, there was an 8.3 mos decrease in the 5+ mutation group vs 3 mutation group. When stratified by metastatic disease at diagnosis, there was no appreciable difference in OS between mutational groups. Conclusions: In the primary PC cohort, increasing burden of gene alteration patterns from 3 to 5+ mutations is correlated with decreased overall survival. The effect did not extend to the metastatic group likely due to disease burden driving survival whereas in primary PC group, survival reflected the tumor biology. This suggests that as additional carcinogenic pathways (DNA repair, growth, apoptosis) are mutated, tumor biology becomes more aggressive. This study provides an impetus for mutational profiling in early stage pancreatic cancer. These findings can contribute to the use of molecular profiles for prognostication and further development of targeted therapies. [Table: see text]


2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 320-320
Author(s):  
Jennifer Brooke Goldstein ◽  
Chad Tang ◽  
David S. Hong ◽  
Vivek Subbiah ◽  
Filip Janku ◽  
...  

320 Background: Pancreatic cancer is a disease that generally presents in advanced stage and is nearly fatal in all cases. In 2011, we reported our experience with pancreatic cancer patients enrolled on phase 1 clinical trials from 2004-2009. At the time, gemcitabine and erlotinib were the only US FDA approved drugs for pancreatic cancer. Median overall survival from presentation in the phase 1 clinic was 5 months. After an additional 5 years of progress, we queried the impact of novel cancer therapeutics, evolving molecular profiling, and targeted therapy on pancreatic cancer patient outcomes in the phase 1 setting. Methods: A retrospective review of advanced pancreatic adenocarcinoma patients from the Department of Investigational Cancer Therapeutics at MD Anderson Cancer Center, was conducted for patients treated from 1/2009 to 1/2014. Statistical analyses utilized the Kaplan-Meier method. Results: A total of 90 patients were identified in 50 trials reviewed. Median age was 62 years (40-84), 57% were male, and 40% had stage IV disease at presentation. Median documented PS was 1 (range 0-3). The median time from diagnosis to treatment on a phase I protocol was 15 months (0.2-119). Patients were treated with an average of 4 prior regimens prior to Phase 1 referral (0-10) with 8% having undergone >5 treatments. The median overall survival from the first phase I treatment was 5.2 months, 95% CI = (4.4-6.3) and the 1 year overall survival from the first phase 1 treatment was 15% (9%- 25%). The median duration on regimen with best phase I response was 1.9 months (0.2-21.3). Of 88 evaluable, the best responses were PR in 1 patient and SD (> 6 months) in 5 patients. Although 47 patients had biomarker profiling performed and 61 patients were treated with targeted therapy alone or in combination with cytotoxic therapy, only 6 patients (5 PD, 1 SD currently on protocol) were placed on trials based on biomarker testing results. Conclusions: Pancreatic cancer remains a difficult disease to treat with poor outcome. Referral to phase 1 occurs late in the disease course. Biomarker based therapies may be more successful with more stringent patient selection and when referred earlier or used prior to cytotoxic treatment.


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