Mass spectrometry-detected MGUS is associated with obesity and other novel modifiable risk factors in a high-risk population.

ABSTRACT: Monoclonal gammopathy of undetermined significance (MGUS) is a premalignant condition of multiple myeloma with few known risk factors. The emergence of mass spectrometry (MS) for the detection of MGUS has provided new opportunities to evaluate its risk factors. In total, 2628 individuals at elevated risk for multiple myeloma were enrolled in a screening study and completed an exposure survey (PROMISE trial). Participant samples were screened by MS, and monoclonal proteins (M-proteins) with concentrations of ≥0.2 g/L were categorized as MS-MGUS. Multivariable logistic models evaluated associations between exposures and MS outcomes. Compared with normal weight (body mass index [BMI] of 18.5 to <25 kg/m2), obesity (BMI of ≥30 kg/m2) was associated with MS-MGUS, adjusting for age, sex, Black race, education, and income (odds ratio [OR], 1.73; 95% confidence interval [CI], 1.21-2.47; P = .003). High physical activity (≥73.5 metabolic equivalent of task (MET)-hours per week vs <10.5 MET-hours per week) had a decreased likelihood of MS-MGUS (OR, 0.45, 95% CI, 0.24-0.80; P = .009), whereas heavy smoking and short sleep had increased likelihood of MS-MGUS (>30 pack-years vs never smoker: OR, 2.19; 95% CI, 1.24-3.74; P = .005, and sleep <6 vs ≥6 hours per day: OR, 2.11; 95% CI, 1.26-3.42; P = .003). In the analysis of all MS-detected monoclonal gammopathies, which are inclusive of M-proteins with concentrations of <0.2 g/L, elevated BMI and smoking were associated with all MS-positive cases. Findings suggest MS-detected monoclonal gammopathies are associated with a broader range of modifiable risk factors than what has been previously identified. This trial was registered at www.clinicaltrials.gov as #NCT03689595.

Assessing Patient Readiness for an Electronic Patient-Reported Outcome-Based Symptom Management Intervention in a Multisite Study.

PURPOSE: While the use of electronic patient-reported outcomes (ePROs) in routine clinical practice is increasing, barriers to patient engagement limit adoption. Studies have focused on technology access as a key barrier, yet other characteristics may also confound readiness to use ePROs including patients' confidence in using technology and confidence in asking clinicians questions. METHODS: To assess readiness to use ePROs, adult patients from six US-based health systems who started a new oncology treatment or underwent a cancer-directed surgery were invited to complete a survey that assessed access to and confidence in the use of technology, ease of asking clinicians questions about health, and symptom management self-efficacy. Multivariable ordinal logistic regression models were fit to assess the association between technology confidence, ease of asking questions, and symptom management self-efficacy. RESULTS: We contacted 3,212 individuals, and 1,043 (33%) responded. The median age was 63 years, 68% were female, and 75% reported having access to patient portals. Over 80% had two or more electronic devices. Most patients reported high technology confidence, higher ease of asking clinicians questions, and high symptom management self-efficacy (n = 692; 66%). Patients with high technology confidence also reported higher ease of asking nurses about their health (adjusted odds ratio [AOR], 4.58 [95% CI, 2.36 to 8.87]; P ≤ .001). Those who reported higher ease of asking nurses questions were more likely to report higher confidence in managing symptoms (AOR, 30.54 [95% CI, 12.91 to 72.30]; P ≤ .001). CONCLUSION: Patient readiness to use ePROs likely depends on multiple factors, including technology and communication confidence, and symptom management self-efficacy. Future studies should assess interventions to address these factors.

Mental health disorders and survival among older patients with diffuse large B-cell lymphoma in the USA: a population-based study.

BACKGROUND: Mental health disorders can potentially decrease quality of life and survival in patients with cancer. Little is known about the survival implications of mental health disorders in patients with diffuse large B-cell lymphoma (DLBCL). We aimed to evaluate the effect of pre-existing depression, anxiety, or both on survival in a US cohort of older patients with DLBCL. METHODS: Using the Surveillance, Epidemiology, and End Results-Medicare (SEER-Medicare) database, we identified patients aged 67 years or older, diagnosed with DLBCL in the USA between Jan 1, 2001, and Dec 31, 2013. We used billing claims to identify patients with pre-existing depression, anxiety, or both before their DLBCL diagnosis. We compared 5-year overall survival and lymphoma-specific survival between these patients and those without pre-existing depression, anxiety, or both using Cox proportional analyses, adjusting for sociodemographic and clinical characteristics, including DLBCL stage, extranodal disease, and B symptoms. FINDINGS: Among 13 244 patients with DLBCL, 2094 (15·8%) had depression, anxiety, or both disorders; 6988 (52·8%) were female, and 12 468 (94·1%) were White. The median follow-up for the cohort was 2·0 years (IQR 0·4-6·9 years). 5-year overall survival was 27·0% (95% CI 25·1-28·9) for patients with these mental health disorders versus 37·4% (36·5-38·3) for those with no mental health disorder (hazard ratio [HR] 1·37, 95% CI 1·29-1·44). Although survival differences between mental health disorders were modest, those with depression alone had the worst survival compared with no mental health disorder (HR 1·37, 95% CI 1·28-1·47), followed by those with depression and anxiety (1·23, 1·08-1·41), and then anxiety alone (1·17, 1·06-1·29). Individuals with these pre-existing mental health disorders also had lower 5-year lymphoma-specific survival, with depression conferring the greatest effect (1·37, 1·26-1·49) followed by those with depression and anxiety (1·25, 1·07-1·47) and then anxiety alone (1·16, 1·03-1·31). INTERPRETATION: Pre-existing depression, anxiety, or both disorders present within 24 months before DLBCL diagnosis, worsens prognosis for patients with DLBCL. Our data underscore the need for universal and systematic mental health screening for this population, as mental health disorders are manageable, and improvements in this prevalent comorbidity might affect lymphoma-specific survival and overall survival. FUNDING: American Society of Hematology, National Cancer Institute, Alan J Hirschfield Award.

Regional Disparities in the Use and Delivery of Adjuvant Radiation Therapy after Lumpectomy for Breast Cancer in the Medicare Population.

Purpose: We examined radiation therapy (RT) use among patients with early-stage breast cancer and analyzed the contribution of patient, cancer, and regional factors to the likelihood of RT receipt across Health Service Areas. Methods and Materials: We identified 13,176 patients aged 66 to 79 years in the Surveillance, Epidemiology, and End Results (SEER) Program-Medicare database who were diagnosed with lymph node-negative breast cancer in 2007 to 2011 and were treated with breast-conserving surgery. Patients were stratified as being at high risk or low risk for recurrence based on National Comprehensive Cancer Network Guidelines. Receipt of RT was studied with 5 modeling approaches to determine whether RT use and regional variation in its use changed based on the risk level of the cohort. Multivariable mixed-effects logistic regression was performed for each outcome. Choropleth maps were used to describe patterns of RT use. Results: Among high-risk patients, 70.1% received RT, compared with 72.6% of low-risk patients (P = .002). Among patients receiving RT, 60.9% were classified as high-risk, compared with 63.0% of patients who did not receive RT (P = .002). In multivariable analyses, patients in all rural areas had lower odds of receiving RT compared with the entire cohort (odds ratio [OR], 0.73; P < .001) and had lower odds of being high-risk and receiving RT (OR, 0.69; P < .001). Black patients (OR, 0.73; P = .001) and Asian patients (OR, 0.74; P = .004) had decreased likelihood of receiving RT compared with the entire cohort. The regional interclass correlation coefficient (ICC) for the model predicting receipt of RT among all patients was 0.05 and among low-risk patients was 0.06. The regional ICC dropped to 0.02 for the model predicting being both high-risk and receiving RT among all patients. Conclusions: We observed regional and racial and ethnic disparities in RT receipt among our cohort. Reassuringly, less regional variability was observed for RT receipt among those at high risk for recurrence. Future work is needed to understand the causes of these regional disparities to better serve patients who may benefit from treatment.

Association of Oncologist Participation in Medicare's Oncology Care Model With Patient Receipt of Novel Cancer Therapies.

Importance: Medicare's Oncology Care Model (OCM) was an alternative payment model that tied performance-based payments to cost and quality goals for participating oncology practices. A major concern about the OCM regarded inclusion of high-cost cancer therapies, which could potentially disincentivize oncologists from prescribing novel therapies. Objective: To examine whether oncologist participation in the OCM changed the likelihood that patients received novel therapies vs alternative treatments. Design, Setting, and Participants: This cohort study of Surveillance, Epidemiology, and End Results (SEER) Program data and Medicare claims compared patient receipt of novel therapies for patients treated by oncologists participating vs not participating in the OCM in the period before (January 2015-June 2016) and after (July 2016-December 2018) OCM initiation. Participants included Medicare fee-for-service beneficiaries in SEER registries who were eligible to receive 1 of 10 novel cancer therapies that received US Food and Drug Administration approval in the 18 months before implementation of the OCM. The study excluded the Hawaii registry because complete data were not available at the time of the data request. Patients in the OCM vs non-OCM groups were matched on novel therapy cohort, outcome time period, and oncologist specialist status. Analysis was conducted between July 2021 and April 2022. Exposures: Oncologist participation in the OCM. Main Outcomes and Measures: Preplanned analyses evaluated patient receipt of 1 of 10 novel therapies vs alternative therapies specific to the patient's cancer for the overall study sample and for racial subgroups. Results: The study included 2839 matched patients (760 in the OCM group and 2079 in the non-OCM group; median [IQR] age, 72.7 [68.3-77.6] years; 1591 women [56.0%]). Among patients in the non-OCM group, 33.2% received novel therapies before and 40.1% received novel therapies after the start of the OCM vs 39.9% and 50.3% of patients in the OCM group (adjusted difference-in-differences, 3.5 percentage points; 95% CI, -3.7 to 10.7 percentage points; P = .34). In subgroup analyses, second-line immunotherapy use in lung cancer was greater among patients in the OCM group vs non-OCM group (adjusted difference-in-differences, 17.4 percentage points; 95% CI, 4.8-30.0 percentage points; P = .007), but no differences were seen in other subgroups. Over the entire study period, patients with oncologists participating in the OCM were more likely to receive novel therapies than those with oncologists who were not participating (odds ratio, 1.47; 95% CI, 1.09-1.97; P = .01). Conclusions and Relevance: This study found that participation in the OCM was not associated with oncologists' prescribing novel therapies to Medicare beneficiaries with cancer. These findings suggest that OCM financial incentives did not decrease patient access to novel therapies.

Breast Medical Oncologists' Perspectives of Telemedicine for Breast Cancer Care: A Survey Study.

PURPOSE: The COVID-19 pandemic forced rapid adoption of telemedicine (TM) for breast oncology visits in the United States, but the appropriate role of postpandemic TM is uncertain. We sought to understand physician and advance practice practitioner perspectives on the use of TM for outpatient breast cancer care through an electronically administered survey. METHODS: Breast medical oncology clinicians at two academic cancer centers and five satellite locations affiliated with the Dana Farber Cancer Institute and the Massachusetts General Cancer Center were invited to respond to a 21-question survey administered in September 2021 about clinicians' perceptions and attitudes toward TM during the previous 12 months. RESULTS: Of the 71 survey invitations, 51 clinicians (36 physicians and 15 advance practice practitioners) provided survey responses (response rate = 72%). Ninety-two percent of respondents (n = 47) agreed that TM visits enhance patient care. Ninety-two percent of respondents (n = 46) also agreed that TM is valuable for early-stage breast cancer follow-up visits. Most respondents felt that there was no difference between TM and face-to-face (F2F) visits when it came to patient adherence, ease of ordering tests, ease of accessing patient records, and workflow outside of the visit (82%, 82%, 78%, and 53%, respectively). Fifty-one percent of respondents (n = 26) said that TM was better for timely access to follow-up appointments. Most respondents said that F2F visits were better for seeing physical problems, personal connection with patients, overall quality of visits, and patient-physician communication (100%, 75%, 65%, and 63%, respectively). CONCLUSION: Breast clinicians believe that TM is a valuable tool to enhance outpatient breast cancer care. TM was felt to be appropriate for routine follow-up visits and second opinion consultations and is as good as or better than F2F visits for several routine aspects of breast cancer care.

Geospatial Disparities in the Treatment of Curable Breast Cancer Across the US.

IMPORTANCE: Patient factors help explain disparities in breast cancer treatments and outcomes. OBJECTIVE: To determine the extent to which geospatial variation in initial breast cancer care can be attributed to region vs patient factors with the aim of guiding quality improvement efforts. DESIGN, SETTING, AND PARTICIPANTS: This was a retrospective population-based cohort study from January 1, 2007, through December 31, 2016, using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database that included 31 571 patients diagnosed with stage I to III breast cancer from 2007 through 2013. Five metrics of care delivery were defined: stage I at diagnosis, chemotherapy receipt, radiation therapy receipt, endocrine therapy (ET) initiation (year 1), and ET continuation (years 3-5). Data analysis was performed from January to June 2021. EXPOSURES: Stage I diagnosis and treatment with chemotherapy, radiation therapy, or ET. MAIN OUTCOMES AND MEASURES: For each metric, total variance was attributed proportionally to 4 domains-random, patient factors (eg, age, race and ethnicity, socioeconomic status), region (health service area [HSA]), and unexplained-using hierarchical multivariable modeling. RESULTS: Of 31 571 total patients (median [IQR] age, 71 [68-75] years), 19 391 (61.4%) had stage I disease at diagnosis. Among eligible patients, 17 297 of 21 190 (81.6%) received radiation therapy, 7204 of 9903 (72.8%) received chemotherapy, 13 115 of 26 855 (48.8%) initiated ET, and 13 944 of 26 855 (52.1%) continued ET. Geospatial density (ie, heat) maps highlight regional performance patterns. For all 5 metrics, region/HSA explained more observed variation (24%-48%) than patient factors (1%-4%); the largest share of variation was unexplained (35%-54%). The metrics with the largest proportion of total variance attributed to region/HSA were ET initiation and continuation (28% and 39%, respectively). CONCLUSIONS AND RELEVANCE: In this cohort study, there was substantial unexplained geospatial variation in initial breast cancer care. The variance attributed to region/HSA was multifold larger than that explained by patient factors. The importance of patient factors such as race and ethnicity notwithstanding, future quality improvement efforts should focus on reducing unwarranted geospatial variation, especially including optimizing the delivery of ET in low-performing regions.

Use of Fundamentals of Laparoscopic Surgery Testing to Assess Gynecologic Surgeons: A Retrospective Cohort Study of 10-Years Experience.

STUDY OBJECTIVE: To compare the Fundamentals of Laparoscopic Surgery (FLS) exam scores between obstetrics and gynecology (OBGYN) and general surgery (GS) providers. DESIGN: This is a retrospective cohort study at a single institution from July 2007 to May 2018. Categorical and continuous variables were analyzed with χ2 test, t test, and Wilcoxon rank sum test. SETTING: Beth Israel Deaconess Medical Center (BIDMC), Boston, MA, a tertiary care academic medical center. PATIENTS: All providers who took the FLS exam at the Carl J. Shapiro Simulation and Skills Center at BIDMC. INTERVENTIONS: FLS certification. MEASUREMENTS AND MAIN RESULTS: A total of 205 BIDMC trainees and faculty took the FLS exam between July 2007 and May 2018, of which 176 were identified to be OBGYN or GS providers. The FLS certification pass rate was high for both specialties (97.0% OBGYN vs 96.1% sGS, p = .76). When comparing all providers, no significant difference was found in the mean manual skill test scores between surgical specialties (594.9 OBGYN vs 601.0 GS, p = .59); whereas, a significant difference was noted in the mean cognitive scores, with GS providers scoring higher than OBGYN providers (533.8 OBGYN vs 583.4 GS, p <.001). However, when adjusting for several variables in a multivariate linear regression model, surgical specialty was not a predictor for cognitive scores. In the multivariate analysis, age, sex, and test year were predictors for cognitive scores, with higher scores associated with younger age, male sex, and advancing calendar year. None of the variables were significant predictors of manual scores. CONCLUSION: Both OBGYN and GS providers had extremely high FLS pass rates. In the multivariate analysis, surgical specialty was not a predictor for higher FLS test scores for either manual or cognitive test scores. Although OBGYN residency programs offer fewer years of training, OBGYN trainees demonstrate the capacity to perform well on the FLS exam.

Racial and ethnic disparities in mortality from gastric and esophageal adenocarcinoma.

BACKGROUND: Racial/ethnic differences in mortality have not been well studied for either non-cardia gastric cancer (NCGC) or cardia gastric cancer (CGC). The aim of this study was to examine the US mortality rates for these cancer subtypes, as well as esophageal adenocarcinoma (EAC) as a comparator. METHODS: We identified 14 164 individuals who died from NCGC, 5235 from CGC, and 13 982 from EAC in the Surveillance, Epidemiology, and End Results database between 2004 and 2016. Age-adjusted incidence-based mortality rates and corresponding annual percent changes (APCs) were calculated. Analyses were stratified by race/ethnicity, age, and stage of disease at diagnosis. RESULTS: The mortality rate in NCGC was two- to threefold higher in blacks, Hispanics, and Asians/Pacific Islanders (PI) than non-Hispanic whites, and was significant across all age groups and stages of disease (P < .01). Mortality in CGC was higher in non-Hispanic whites than blacks and Asians/PI, particularly in individuals in the 50-64 year age group and those with stage IV disease. Mortality in EAC was two- to sixfold higher in non-Hispanic whites than all other groups across all age groups and stages of disease. From 2004 to 2016, mortality rates were stable across all racial/ethnic groups in NCGC and CGC, and in minority groups with EAC, but have been rising in non-Hispanic whites with EAC (APC 3.03, 95% CI 0.17-5.96). CONCLUSIONS: This is the largest study of incidence-based mortality in CGC and NCGC and demonstrates racial/ethnic differences in mortality between these subtypes. Mortality rates for NCGC are highest in minority groups, and have been stable in recent years despite declining incidence. Mortality rates for CGC are marginally higher in middle-aged non-Hispanic whites with advanced disease, though have remained stable. In contrast, mortality in EAC has been rising for non-Hispanic whites, in parallel to incidence. Further studies are needed to refine prevention strategies for high-risk individuals dying from these specific cancer subtypes.

Racial/ethnic disparities in colorectal cancer treatment utilization and phase-specific costs, 2000-2014.

BACKGROUND: Our study analyzed disparities in utilization and phase-specific costs of care among older colorectal cancer patients in the United States. We also estimated the phase-specific costs by cancer type, stage at diagnosis, and treatment modality. METHODS: We used the Surveillance, Epidemiology, and End Results (SEER)-Medicare database to identify patients aged 66 or older diagnosed with colon or rectal cancer between 2000-2013, with follow-up to death or December 31, 2014. We divided the patient's experience into separate phases of care: staging or surgery, initial, continuing, and terminal. We calculated total, cancer-attributable, and patient-liability costs. We fit logistic regression models to determine predictors of treatment receipt and fit linear regression models to determine relative costs. All costs are reported in 2019 US dollars. RESULTS: Our cohort included 90,023 colon cancer patients and 25,581 rectal cancer patients. After controlling for patient and clinical characteristics, Non-Hispanic Blacks were less likely to receive treatment but were more likely to have higher cancer-attributable costs within different phases of care. Overall, in both the colon and rectal cancer cohorts, mean monthly cost estimates were highest in the terminal phase, next highest in the staging phase, decreased in the initial phase, and were lowest in the continuing phase. CONCLUSIONS: Racial/ethnic disparities in treatment utilization and costs persist among colorectal cancer patients. Additionally, colorectal cancer costs are substantial and vary widely among stages and treatment modalities. This study provides information regarding cost and treatment disparities that can be used to guide clinical interventions and future resource allocation to reduce colorectal cancer burden.

Cost-effectiveness Evaluation of Targeted Surgical and Endoscopic Therapies for Early Colorectal Adenocarcinoma Based on Biomarker Profiles.

Importance: Colorectal cancer (CRC) is the second leading cause of cancer-related mortality in the United States. The prognosis for patients with CRC varies widely, but new prognostic biomarkers provide the opportunity to implement a more individualized approach to treatment selection. Objective: To assess the cost-effectiveness of 3 therapeutic strategies, namely, endoscopic therapy (ET), laparoscopic colectomy (LC), and open colectomy (OC), for patients with T1 CRC with biomarker profiles that prognosticate varying levels of tumor progression in the US payer perspective. Design, Setting, and Participants: In this economic evaluation study, a Markov model was developed for the cost-effectiveness analysis. Risks of all-cause mortality and recurrent cancer after ET, LC, or OC were estimated with a 35-year time horizon. Quality of life was based on EuroQoL 5 Dimensions scores reported in the published literature. Hospital and treatment costs reflected Medicare reimbursement rates. Deterministic and probabilistic sensitivity analyses were performed. Data from patients with T1 CRC and 6 biomarker profiles that included adenomatous polyposis coli (APC), TP53 and/or KRAS, or BRAFV600E were used as inputs for the model. Data analyses were conducted from February 27, 2019, to May 13, 2019. Exposures: Endoscopic therapy, LC, and OC. Main Outcomes and Measures: The primary outcomes were unadjusted life-years, quality-adjusted life-years (QALYs), and the incremental cost-effectiveness ratio (ICER) between competing treatment strategies. Results: Endoscopic therapy had the highest QALYs and the lowest cost and was the dominant treatment strategy for T1 CRC with the following biomarker profiles: BRAFV600E, APC(1)/KRAS/TP53, APC(2) or APC(2)/KRAS or APC(2)/TP53, or APC(1) or APC(1)/KRAS or APC(1)/TP53. The QALYs gained ranged from 16.97 to 17.22, with costs between $68 902.75 and $77 784.53 in these subgroups. For the 2 more aggressive biomarker profiles with worse prognoses (APC(2)/KRAS/TP53 and APCwt [wild type]), LC was the most effective strategy (with 16.45 and 16.61 QALYs gained, respectively) but was not cost-effective. Laparoscopic colectomy cost $65 234.87 for APC(2)/KRAS/TP53 and $71 250.56 for APCwt, resulting in ICERs of $113 290 per QALY and $178 765 per QALY, respectively. Conclusions and Relevance: This modeling analysis found that ET was the most effective strategy for patients with T1 CRC with less aggressive biomarker profiles. For patients with more aggressive profiles, LC was more effective but was costly, rendering ET the cost-effective option. This study highlights the potential utility of prognostic biomarkers in T1 CRC treatment selection.

Cost and Utilization of Lung Cancer End-of-Life Care Among Racial-Ethnic Minority Groups in the United States.

BACKGROUND: The end-of-life period is a crucial time in lung cancer care. To have a better understanding of the racial-ethnic disparities in health care expenditures, access, and quality, we evaluated these disparities specifically in the end-of-life period for patients with lung cancer in the U.S. MATERIALS AND METHODS: We used the Surveillance, Epidemiology, and End Results (SEER)-Medicare database to analyze characteristics of lung cancer care among those diagnosed between the years 2000 and 2011. Linear and logistic regression models were constructed to measure racial-ethnic disparities in end-of-life care cost and utilization among non-Hispanic (NH) Asian, NH black, Hispanic, and NH white patients while controlling for other risk factors such as age, sex, and SEER geographic region. RESULTS: Total costs and hospital utilization were, on average, greater among racial-ethnic minorities compared with NH white patients in the last month of life. Among patients with NSCLC, the relative total costs were 1.27 (95% confidence interval [CI], 1.21-1.33) for NH black patients, 1.36 (95% CI, 1.25-1.49) for NH Asian patients, and 1.21 (95% CI, 1.07-1.38) for Hispanic patients. Additionally, the odds of being admitted to a hospital for NH black, NH Asian, and Hispanic patients were 1.22 (95% CI, 1.15-1.30), 1.47 (95% CI, 1.32-1.63), and 1.18 (95% CI, 1.01-1.38) times that of NH white patients, respectively. Similar results were found for patients with SCLC. CONCLUSION: Minority patients with lung cancer have significantly higher end-of-life medical expenditures than NH white patients, which may be explained by a greater intensity of care in the end-of-life period. IMPLICATIONS FOR PRACTICE: This study investigated racial-ethnic disparities in the cost and utilization of medical care among lung cancer patients during the end-of-life period. Compared with non-Hispanic white patients, racial-ethnic minority patients were more likely to receive intensive care in their final month of life and had statistically significantly higher end-of-life care costs. The findings of this study may lead to a better understanding of the racial-ethnic disparities in end-of-life care, which can better inform future end-of-life interventions and help health care providers develop less intensive and more equitable care, such as culturally competent advanced care planning programs, for all patients.

Pancreatic cancer treatment costs, including patient liability, by phase of care and treatment modality, 2000-2013.

OBJECTIVES: Our study provides phase-specific cost estimates for pancreatic cancer based on stage and treatment. We compare treatment costs between the different phases and within the stage and treatment modality subgroups. METHODS: Our cohort included 20,917 pancreatic cancer patients from the Surveillance, Epidemiology, and End Results (SEER)-Medicare database diagnosed between 2000 and 2011. We allocated costs into four phases of care-staging (or surgery), initial, continuing, and terminal- and calculated the total, cancer-attributable, and patient-liability costs in 2018 US dollars. We fit linear regression models using log transformation to determine whether costs were predicted by age and calendar year. RESULTS: Monthly cost estimates were high during the staging and surgery phases, decreased over the initial and continuing phases, and increased during the three-month terminal phase. Overall, the linear regression models showed that cancer-attributable costs either remained stable or increased by year, and either were unaffected by age or decreased with older age; continuing phase costs for stage II patients increased with age. CONCLUSIONS: Our estimates demonstrate that pancreatic cancer costs can vary widely by stage and treatment received. These cost estimates can serve as an important baseline foundation to guide resource allocation for cancer care and research in the future.

Esophageal cancer treatment costs by phase of care and treatment modality, 2000-2013.

BACKGROUND: Detailed cost estimates are not widely available for esophageal cancer. Our study estimates phase-specific costs for esophageal cancer by age, year, histology, stage, and treatment for older patients in the United States and compares these costs within stage and treatment modalities. METHODS: We identified 8061 esophageal cancer patients in the Surveillance, Epidemiology, and End Results-Medicare database for years 1998-2013. Total, cancer-attributable, and patient-liability costs were calculated based on separate phases of care-staging (or surgery), initial, continuing, and terminal. We estimated costs by treatment modality within stage and phase for esophageal adenocarcinoma and squamous cell carcinoma separately. We fit linear regression models using log transformation to determine cost by age and calendar year. All costs are reported in 2018 US dollars. RESULTS: Overall, mean (95% CI) monthly total cost estimates were high during the staging ($8953 [$8385-$9485]) and initial phases ($7731 [$7492-$7970]), decreased over the continuing phase ($2984 [$2814-$3154]), and increased substantially during the 6-month terminal phase ($18 150 [$17 211-$19 089]). This pattern of high staging and initial phase costs, decreasing continuing phase costs, and increasing terminal phase costs was seen in all stages. The highest staging costs were in stages III ($9249, $8025-$10 474) and II ($9171, $7642-$10 699). The highest initial phase cost was in stage IV, $9263 ($8758-49 768), the lowest continuing phase cost was in stage I, $2338 ($2160-$2517), and the highest terminal phase costs were in stages II ($20 533, $17 772-$23 293) and III ($20 599, $18 268-$22 929). The linear regression models showed that cancer-attributable costs remained stable over the study period and were unaffected by age for most histology, stage, and treatment modality subgroups. CONCLUSIONS: Our estimates demonstrate that esophageal cancer costs can vary widely by histology, stage, and treatment. These cost estimates can be used to guide future resource allocation for esophageal cancer care and research.

Computational modeling of pancreatic cancer patients receiving FOLFIRINOX and gemcitabine-based therapies identifies optimum intervention strategies.

Pancreatic ductal adenocarcinoma (PDAC) exhibits a variety of phenotypes with regard to disease progression and treatment response. This variability complicates clinical decision-making despite the improvement of survival due to the recent introduction of FOLFIRINOX (FFX) and nab-paclitaxel. Questions remain as to the timing and sequence of therapies and the role of radiotherapy for unresectable PDAC. Here we developed a computational analysis platform to investigate the dynamics of growth, metastasis and treatment response to FFX, gemcitabine (GEM), and GEM+nab-paclitaxel. Our approach was informed using data of 1,089 patients treated at the Massachusetts General Hospital and validated using an independent cohort from Osaka Medical College. Our framework establishes a logistic growth pattern of PDAC and defines the Local Advancement Index (LAI), which determines the eventual primary tumor size and predicts the number of metastases. We found that a smaller LAI leads to a larger metastatic burden. Furthermore, our analyses ascertain that i) radiotherapy after induction chemotherapy improves survival in cases receiving induction FFX or with larger LAI, ii) neoadjuvant chemotherapy improves survival in cases with resectable PDAC, and iii) temporary cessations of chemotherapies do not impact overall survival, which supports the feasibility of treatment holidays for patients with FFX-associated adverse effects. Our findings inform clinical decision-making for PDAC patients and allow for the rational design of clinical strategies using FFX, GEM, GEM+nab-paclitaxel, neoadjuvant chemotherapy, and radiation.

Prevalence of Cervical Dysplasia in HIV-Positive and HIV-Negative Women at the Sihanouk Hospital Center of HOPE, Phnom Penh , Cambodia

Introduction: There is a high burden of cervical cancer in Cambodia, yet published data on the prevalence of cervical dysplasia and the risk factors contributing to the development of pre-cancerous lesions in Cambodian women is very limited. In addition, as it is well known that HIV positivity increases cervical cancer risk, it is important to quantify the prevalence of cervical dysplasia and carcinoma among Cambodian women living with HIV disease. Methods: A cross-sectional study was conducted with a sample of 499 HIV+ and 501 HIV- Cambodian women at the Sihanouk Hospital Center of HOPE. Visual inspection with 5% acetic acid was the method of screening. Colposcopy was performed on all VIA+ patients, and subsequent treatment followed WHO guidelines. Logistic regression models, stratified by both HIV+ and HIV- groups, were used to assess significant factors associated with having dysplasia. Results: VIA+ results were prevalent in both the HIV+ and HIV- arms of the study. The HIV+ patients were more likely to have a lower age at coitarche, lower weight, 2 or more lifetime sexual partners, two or greater pregnancies, or be unmarried. The estimated prevalence of VIA detected cervical dysplasia was 11% for the entire study sample, 13.4% in the HIV positive (HIV+) group and 8.6% in the HIV negative (HIV-) group (OR: 1.65; 95% CI: 1.10, 2.48; p=0.01). For the HIV+ group, having a history of 4 or more full-term pregnancies (OR: 3.42; 95% CI: 1.01-11.64; p=0.049) was found to be significantly associated with having an increased risk of developing cervical dysplasia in the multivariate model. Conclusion: Cervical dysplasia is prevalent in both HIV positive and negative Cambodian women and a VIA based national screening programs need to be developed and expanded to provide access to affordable and effective treatment for cervical dysplasia and cancers.

Disparities and Trends in Genetic Testing and Erlotinib Treatment among Metastatic Non-Small Cell Lung Cancer Patients.

BACKGROUND: Despite reports of socioeconomic disparities in rates of genetic testing and targeted therapy treatment for metastatic non-small cell lung cancer (NSCLC), little is known about whether such disparities are changing over time. METHODS: We performed a retrospective analysis to identify disparities and trends in genetic testing and treatment with erlotinib. Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database, we identified 9,900 patients with stage IV NSCLC diagnosed in 2007 to 2011 at age 65 or older. We performed logistic regression analyses to identify patient factors associated with odds of receiving a genetic test and erlotinib treatment, and to assess trends in these differences with respect to diagnosis year. RESULTS: Patients were more likely to receive genetic testing if they were under age 75 at diagnosis [odds ratio (OR), 1.55] independent of comorbidity level, and this age-based gap showed a decrease over time (OR, 0.93). For untested patients, erlotinib treatment was associated with race (OR, 0.58, black vs. white; OR, 2.45, Asian vs. white), and was more likely among female patients (OR, 1.45); for tested patients, erlotinib treatment was less likely among low-income patients (OR, 0.32). Most of these associations persisted or increased in magnitude. CONCLUSIONS: Race and sex are associated with rates of erlotinib treatment for patients who did not receive genetic testing, and low-income status is associated with treatment rates for those who did receive testing. The racial disparity remained stable over time, while the income-based disparity grew larger. IMPACT: Attention to reducing disparities is needed as precision cancer treatments continue to be developed.

Repeat CT Performed Within One Month of CT Conducted in the Emergency Department for Abdominal Pain: A Secondary Analysis of Data From a Prospective Multicenter Study.

OBJECTIVE: The purpose of this study is to determine both the frequency of repeat CT performed within 1 month after a patient visits the emergency department (ED) and undergoes CT evaluation for abdominal pain and the frequency of worsened or new CT-based diagnoses. SUBJECTS AND METHODS: Secondary analysis was performed on data collected during a prospective multicenter study. The parent study included patients who underwent CT in the ED for abdominal pain between 2012 and 2014, and these patients constituted the study group of the present analysis. The proportion of patients who underwent (in any setting) repeat abdominal CT within 1 month of the index CT examination was calculated. For each of these patients, results of the index and repeat CT scans were compared by an independent panel and categorized as follows: no change (group 1); same process, improved (group 2); same process, worse (group 3); or different process (group 4). The proportion of patients in groups 1 and 2 versus groups 3 and 4 was calculated, and patient and ED physician characteristics were compared. RESULTS: The parent study included 544 patients (246 of whom were men [45%]; mean patient age, 49.4 years). Of those 544 patients, 53 (10%; 95% CI, 7.5-13%) underwent repeat abdominal CT. Patients' CT comparisons were categorized as follows: group 1 for 43% of patients (23/53), group 2 for 26% (14/53), group 3 for 15% (8/53), and group 4 for 15% (8/53). New or worse findings were present in 30% of patients (16/53) (95% CI, 19-44%). When patients with findings in groups 1 and 2 were compared to patients with findings in groups 3 and 4, no significant difference was noted in patient age (p = 0.25) or sex (p = 0.76), the number of days between scans (p = 0.98), and the diagnostic confidence of the ED physician after the index CT scan was obtained (p = 0.33). CONCLUSION: Short-term, repeat abdominal CT was performed for 10% of patients who underwent CT in the ED for abdominal pain, and it yielded new or worse findings for 30% of those patients.

Lung cancer costs by treatment strategy and phase of care among patients enrolled in Medicare.

BACKGROUND: We studied trends in lung cancer treatment cost over time by phase of care, treatment strategy, age, stage at diagnosis, and histology. METHODS: Using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database for years 1998-2013, we allocated total and patient-liability costs into the following phases of care for 145 988 lung cancer patients: prediagnosis, staging, surgery, initial, continuing, and terminal. Patients served as self-controls to determine cancer-attributable costs based on individual precancer diagnosis healthcare costs. We fit linear regression models to determine cost by age and calendar year for each stage at diagnosis, histology, and treatment strategy and presented all costs in 2017 US dollars. RESULTS: Monthly healthcare costs prior to lung cancer diagnosis were $861 for a 70 years old in 2017 and rose by an average of $17 per year (P < 0.001). Surgery in 2017 cost $30 096, decreasing by $257 per year (P = 0.007). Chemotherapy and radiation costs remained stable or increased for most stage and histology groups, ranging from $4242 to $8287 per month during the initial six months of care. Costs during the final six months of life decreased for those who died of lung cancer or other causes. CONCLUSIONS: Cost-effectiveness analyses of lung cancer control interventions in the United States have been using outdated and incomplete treatment cost estimates. Our cost estimates enable updated cost-effectiveness analyses to determine the benefit of lung cancer control from a health economics point of view.

Patterns and predictors of end-of-life care in older patients with pancreatic cancer.

BACKGROUND: Little is known about end-of-life care among patients with pancreatic adenocarcinoma (PDAC). We used the Surveillance, Epidemiology, and End Results-Medicare linked database to analyze patterns of hospice use and end-of-life treatment in patients with PDAC. METHODS: We included patients diagnosed with PDAC between 2000-2011 and who had died by December 31, 2012. We assessed patterns of hospice use, chemotherapy receipt, and intensive care unit (ICU) admissions at end-of-life. We used multivariable logistic regression to investigate predictors of end-of-life care. RESULTS: In our cohort of 16 309 patients, 70.5% enrolled in hospice, of which 29.1% enrolled in the last 7 days of life. Use of hospice increased over time, from 61.6% in 2000 to 77.5% in 2012 (P-value for trend <0.0001). Among the entire cohort, 6.4% received chemotherapy within the last 14 days of life and 13.1% were admitted to the ICU within the last 30 days of life. Late ICU admissions increased over time, while chemotherapy receipt at the end-of-life decreased. Patients who were older, female, with higher SES, or from the South or Midwest were more likely to enroll in hospice. Those who were younger or male were more likely to receive chemotherapy or have an ICU admission at the end-of-life. CONCLUSION: Although hospice enrollment has increased among patients with PDAC, late enrollment still occurs in a substantial proportion of patients. While chemotherapy at the end-of-life has decreased slightly, ICU admissions at the end-of-life have continued to increase. Further research is needed to determine effective ways of enhancing end-of-life care for patients with PDAC.