Association of Medicaid expansion with 2-year survival and time to treatment initiation in gastrointestinal cancer patients: A National Cancer Database study.

INTRODUCTION: We evaluated whether Medicaid expansion (ME) was associated with improved 2-year survival and time to treatment initiation (TTI) among patients with gastrointestinal (GI) cancer. METHODS: GI cancer patients diagnosed 40-64 years were queried from the National Cancer Database. Those diagnosed from 2010 to 2012 were considered pre-expansion; those diagnosed from 2014 to 2016 were considered post-expansion. Cox models estimated hazard ratios and 95% confidence intervals (CIs) for 2-year overall survival. Generalized estimating equations (GEE) estimated odds ratios (OR) and 95% CI of TTI within 30- and 90 days. Multivariable Difference-in-Difference models were used to compare expansion/nonexpansion cohorts pre-/post-expansion, adjusting for patient, clinical, and hospital factors. RESULTS: 377,063 patients were included. No significant difference in 2-year survival was demonstrated across ME and non-ME states overall or in site-based subgroup analysis. In stage-based subgroup analysis, 2-year survival significantly improved among stage II cancer, with an 8% decreased hazard of death at 2 years (0.92; 0.87-0.97). Those with stage IV had a 4% increased hazard of death at 2 years (1.04; 1.01-1.07). Multivariable GEE models showed increased TTI within 30 days (1.12; 1.09-1.16) and 90 days (1.22; 1.17-1.27). Site-based subgroup analyses indicated increased likelihood of TTI within 30 and 90 days among colon, liver, pancreas, rectum, and stomach cancers, by 30 days for small intestinal cancer, and by 90 days for esophageal cancer. In subgroup analyses, all stages experienced improved odds of TTI within 30 and 90 days. CONCLUSION: ME was not associated with significant improvement in 2-year survival for those with GI cancer. Although TTI increased after ME for both cohorts, the 30- and 90-day odds of TTI was higher for those from ME compared with non-ME states. Our findings add to growing evidence of associations with ME for those diagnosed with GI cancer.

Impact of Medicaid Expansion on Stage at Diagnosis for US Adults with Pancreatic Cancer: a Population-Based Study.

INTRODUCTION: We evaluated whether Medicaid expansion is associated with earlier stage at diagnosis for pancreatic cancer taking into account key demographic, clinical, and geographic factors. METHODS: We obtained Surveillance, Epidemiology, and End-Results (SEER-18) data on individuals diagnosed with pancreatic cancer from 2007 to 2016 (< 65 years of age). We defined non-metastatic as either local or regional disease (vs. metastatic disease). To estimate the association of Medicaid expansion with pancreatic cancer stage at diagnosis, we used a difference-in-differences model, at the individual level, comparing those from early-adopting states in 2014 to non-early-adopting states. We utilized cluster-robust standard errors and explored the role of demographic factors (race, sex, insurance at diagnosis), clinical indicator (disease in the head of the pancreas), and county characteristics (Urban Influence Code, Social Deprivation Index). RESULTS: In the univariable setting, the probability of non-metastatic disease at diagnosis increased by 3.9 percentage points (ppt) for those from Medicaid expansion states post-expansion (n = 36,609). After adjustment for covariates, the ppt was attenuated to 2.7. Of particular note, we observed evidence of interactions with sex and race. The beneficial effect was less pronounced for men (increase in the probability of non-metastatic stage at diagnosis by 2.1ppt) than women (3.6ppt) and non-existent for blacks (- 3.1ppt) compared to whites (4.9ppt) and other races (4.8ppt). CONCLUSION: Medicaid expansion is associated with increased probability of non-metastatic stage at diagnosis for pancreatic cancer; however, this beneficial effect is not uniform across sex and race. This underscores the need to investigate the impact of policy and implementation strategies on pancreatic cancer survival disparities.

Impact of Medicaid Expansion on Pancreatic Cancer: An Examination of Sociodemographic Disparity in 1-Year Survival.

BACKGROUND: This study examined the effect of Medicaid expansion on 1-year survival of pancreatic cancer for nonelderly adults. We further evaluated whether sociodemographic and county characteristics alter the association of Medicaid expansion and 1-year survival. STUDY DESIGN: We obtained data from the Surveillance Epidemiology and End-Results dataset on individuals diagnosed with pancreatic cancer from 2007 to 2015. A Difference-in-Differences model compared those from early-adopting states to non-early-adopting states, before and after adoption (2014), while taking into consideration sociodemographic and county characteristics to estimate the effect of Medicaid expansion on 1-year survival. RESULTS: In the univariable Difference-in-Differences model, the probability of 1-year survival for pancreatic cancer increased by 4.8 percentage points (ppt) for those from Medicaid expansion states postexpansion (n = 35,347). After adjustment for covariates, the probability of 1-year survival was reduced to 0.8 ppt. Interestingly, after multivariable adjustment the effect of living in an expansion state on 1-year survival was similar for men and women (0.6 ppt for men vs 1.2 ppt for women), was also similar for Whites (2.6 ppt), and was higher in those of other races (5.9 ppt) but decreased for Blacks (-2.0 ppt). Those who were insured (-0.1 ppt) or uninsured (-2.2 ppt) experienced a decrease in the probability of 1-year survival; however, those who were covered by Medicaid at diagnosis experienced an increase in the probability of 1-year survival (7.4 ppt). CONCLUSIONS: Medicaid expansion during or after 2014 is associated with an increase in the probability of 1-year survival for pancreatic cancer; however, this effect is attenuated after adjustment for sociodemographic characteristics. Of note, the positive association was more pronounced in certain categories of key covariates suggesting further inquiry focused on these subgroups.

Bioimpedance Spectroscopy for Assessment of Breast Cancer-Related Lymphedema: A Systematic Review.

Bioimpedance spectroscopy is currently used to evaluate patients with breast cancer-related lymphedema (BCRL). We aimed to describe published studies on the use of bioimpedance spectroscopy for assessment for BCRL. We queried the PubMed, Ovid Medline, and Embase databases to identify studies that evaluated the use of bioimpedance spectroscopy as an assessment tool. We searched for the keywords "bioimpedance" AND ("lymphedema" OR "lymphoedema"). We included English-language studies that reported the use of bioimpedance spectroscopy for assessment of BCRL. Out of 152, 116, and 235 articles identified in each database, respectively, only a total of 11 articles were included. Bioimpedance spectroscopy was studied as a method to assess and predict response to BCRL treatment, assess volume changes, and calibrate L-Dex scores for conversion to units of volume. All studies reported that bioimpedance spectroscopy is a promising tool for predicting response to BCRL treatment and measuring volume changes. Bioimpedance spectroscopy can be used for assessment of BCRL. However, the accuracy of bioimpedance spectroscopy for BCRL assessment has not been determined, and consequently further studies are needed.

Survival Disparities in Male Patients With Breast Cancer.

BACKGROUND/AIM: We evaluated factors associated with mortality among men with breast cancer. MATERIALS AND METHODS: We used the National Cancer Database to identify men with breast cancer and evaluated factors associated with mortality, using a Cox regression model. RESULTS: Black patients experienced an increased risk of death from any cause compared to white patients [hazard ratio (HR)=1.19, 95%CI=1.05-1.37]. Patients with government insurance had a greater risk of death compared to privately insured patients (HR=1.57, 95%CI=1.41-1.75). When compared to patients with an income of >$46,000, those with an income <$30,000 presented an increased risk of death (HR=1.35, 95%CI=1.14-1.60). Finally, patients treated at a comprehensive community cancer program (HR=1.129, 95%CI=1.021-1.248), community cancer program (HR=1.164, 95%CI=1.010-1.343), or integrated network cancer program (HR=1.216; 95%CI=1.056-1.401) experienced elevated risk of death compared to those treated at academic/research-programs. CONCLUSION: Race, insurance, income, education, and facility type are associated with the risk of mortality in male patients with breast cancer.

The Determinants of Palliative Care Use in Patients With Colorectal Cancer: A National Study.

BACKGROUND: Palliative care is associated with improved survival and quality of life, but its use among patients with colorectal cancer varies nationwide and the determinants of those variations are not clear. OBJECTIVE: To determine the factors associated with palliative care use among patients who died of colorectal cancer. METHODS: Deceased patients treated for colorectal cancer (2004-2013) were identified within the National Cancer Database. Multivariable logistic regression was used to evaluate patient and institutional characteristics associated with palliative care use. Patients were classified based on their length of survival (<6 months, 6-24 months, and 24+ months) to provide timing context. RESULTS: A total of 287 923 patients were analyzed. Overall, 4.3% of the patients received palliative care. Patients who received palliative care were more likely to be younger, recently diagnosed, treated at academic hospitals, and have stage IV disease. Patients living in Mountain and Pacific regions had higher odds of palliative care receipt than those in the East Coast. Patients without insurance had higher odds of palliative care if they survived <24 months. Insurance coverage through Medicaid was associated with increased palliative care use among patients who survived 6 to 24 months. Patients who survived <6 months and lived >9 miles from the institution received more palliative care. CONCLUSION: Palliative care use among patients with colorectal cancer is associated with a younger age, a more recent year of diagnosis, insurance status, academic hospitals, and living in Mountain and Pacific regions.

Cost analysis of open radical cystectomy versus robot-assisted radical cystectomy.

Bladder cancer is the fourth and ninth most common malignancy in males and females, respectively, in the U.S. and one of the most costly cancers to manage. With the current economic condition, physicians will need to become more aware of cost-effective therapies for the treatment of various malignancies. Robot-assisted radical cystectomy (RARC) is the latest minimally invasive surgical option for muscle-invasive bladder cancer. Current reports have shown less blood loss, a shorter hospital stay, and a lower morbidity with RARC, as compared with the traditional open radical cystectomy (ORC), although long-term oncologic results of RARC are still maturing. There are few studies that have assessed the cost outcomes of RARC as compared with ORC. Currently, ORC appears to offer a direct cost advantage due to the high purchase and maintenance cost of the robotic platform, although when the indirect costs of complications and extended hospital stay with ORC are considered, RARC may be less expensive than the traditional open procedure. In order to accurately evaluate the cost effectiveness of RARC versus ORC, prospective randomized trials between the two surgical techniques with long-term oncologic efficacy are needed.

Impact of fellowship training on one-year outcomes of robotic-assisted prostatectomy.

BACKGROUND AND OBJECTIVES: We examined 1-year functional and oncologic outcomes for robotic-assisted laparoscopic prostatectomy (RALP) from a single surgeon entering practice directly from fellowship training. METHODS: We prospectively analyzed the first 100 RALPs performed by one fellowship-trained robotic surgeon. Data included resident involvement during the procedure, perioperative data, and surgical complications (scored using the Clavien grading system). Health-related quality of life (HRQOL) data were captured using the EPIC questionnaire at baseline (prior to surgery) and at 1-year follow-up. RESULTS: Eighty-two patients (82%) had hospital stays of 2 days or less without any postoperative complications, urethral catheter removal was within 14 days of surgery, and none required readmission to the hospital. The overall positive margin rate was 21% (19% for patients with T2 disease). Clavien grades 1 through 4 complication rates, respectively, were 4%, 10%, 1%, and 1%. There were no deaths, reoperations, or bladder neck contractures. One patient (1%) required a blood transfusion within the 90-day perioperative period. At 1-year follow-up, 78% of patients reported wearing no pads; 41.3% of patients with baseline and 1-year follow-up data reported having intercourse. CONCLUSIONS: We provide baseline data pertaining to the morbidity, oncologic efficacy, continence results, and potency outcomes of new surgeons performing RALP.

Comparison of digital image analysis versus visual assessment to assess survivin expression as an independent predictor of survival for patients with clear cell renal cell carcinoma.

We previously used quantitative digital image analysis to report that high immunohistochemical tumor expression levels of survivin independently predict poor outcome among patients with clear cell renal cell carcinoma. However, given the cumbersome and costly nature of digital image analysis, we evaluated simple visual assessment as an alternative to digital image analysis for assessing survivin as a predictor of clear cell renal cell carcinoma patient outcomes. We identified 310 patients treated surgically for unilateral, sporadic, clear cell renal cell carcinoma at our institution between 1990 and 1994. Survivin expression was quantified independently by digital image analysis and visual assessment in paraffin slides using a commercially available antibody. We examined the agreement between the 2 methods using the kappa statistic and then used Cox regression to compare the ability of the 2 methods to predict renal cell carcinoma death. The kappa statistic comparing high survivin expression determined by digital image analysis versus visual assessment was .68, indicating substantial agreement between the 2 methods. Moreover, even after multivariate adjustment, the association of high survivin expression with risk of renal cell carcinoma death was similar for both visual assessment (risk ratio = 2.01; 95% confidence interval, 1.26-3.22) and digital image analysis (risk ratio = 1.75; 95% confidence interval, 1.10-2.80). Finally, among patients with "moderate risk" (Stage, Size, Grade, and Necrosis scores 3-6) and "high risk" (Stage, Size, Grade, and Necrosis scores 7 or greater) clear cell renal cell carcinoma, high survivin expression determined by visual assessment was significantly associated with poorer survival (P = .006 and P = .017, respectively). Herein, we demonstrate substantial agreement between survivin quantification by digital image analysis and visual assessment. We further confirm that high survivin expression assessed by visual assessment remains an independent predictor of aggressive clear cell renal cell carcinoma behavior. Thus, visual assessment represents an economical, widely available, and reliable method to assess survivin as a predictor of clear cell renal cell carcinoma patient outcomes.