Disparities in Colon Cancer Survival by Insurance Type: A Population-Based Analysis

Stratification of Stage II Colon Cancer Using Recurrence Prediction Value: A Multi-institutional International Retrospective Study

OBJECTIVE

To create a recurrence prediction value (RPV) of high-risk factor and identify the patients with high risk of cancer recurrence.

BACKGROUND

There are several high-risk factors known to lead to poor outcomes. Weighting each high-risk factor based on their association with increased risk of cancer recurrence can provide a more precise understanding of risk of recurrence.

METHODS

We performed a multi-institutional international retrospective analysis of patients with stage II colon cancer patients who underwent surgery from 2010 to 2020. Patient data from a multi-institutional database were used as the Training data, and data from a completely separate international database from 2 countries were used as the Validation data. The primary endpoint was recurrence-free survival.

RESULTS

A total of 739 patients were included from Training data. To validate the feasibility of RPV, 467 patients were included from Validation data. Training data patients were divided into RPV low (n=564) and RPV high (n=175). Multivariate analysis revealed that risk of recurrence was significantly higher in the RPV high than the RPV low [hazard ratio (HR) 2.628; 95% confidence interval (CI) 1.887-3.660; P <0.001). Validation data patients were divided into 2 groups (RPV low, n=420) and RPV high (n=47). Multivariate analysis revealed that risk of recurrence was significantly higher in the RPV high than the RPV low (HR 3.053; 95% CI 1.962-4.750; P <0.001).

CONCLUSIONS

RPV can identify stage II colon cancer patients with high risk of cancer recurrence worldwide.

Individualized prediction of conditional survival for colorectal signet-ring cell carcinoma patients

Background

Conditional survival (CS) considers the time already survived after surgery and may provide additional survival information. The authors sought to construct and validate novel conditional survival nomograms for the prediction of conditional overall survival (OS) and cancer-specific survival (CSS) of colorectal signet-ring cell carcinoma (SRCC) patients.

Methods

Patients diagnosed with stage I-III SRCC between 2010 and 2019 were identified from the Surveillance, Epidemiology, and End Results database. The formula calculating CS was: CS(x|y) = S(x+y)/S(x), where S(x) represents the survival at x years. CS nomograms were then constructed to predict the 5-year conditional OS and CSS, followed by internal validation.

Results

A total of 944 colorectal SRCC patients were finally identified in this study. The 5-year OS and CSS improved gradually with additional survival time. Univariate and multivariate Cox regression analysis conducted in training set revealed that age, race, T stage, LNR, and perineural invasion were independent risk factors for both OS and CSS. Two nomograms with considerable predictive ability were successfully constructed [area under the curve (AUC) for OS: 0.788; AUC for CSS: 0.847] and validated (AUC for OS: 0.773; AUC for CSS: 0.799) for the prediction of 5-year OS and CSS, based on the duration of 1-4 years post-surgery survival.

Conclusions

The probability of achieving 5-year OS and 5-year CSS in colorectal SRCC patients improved gradually with additional time. Conditional nomograms considering survival time will be more reliable and informative for risk stratification and postoperative follow-up.

Racial Disparities in Receipt of Guideline-Concordant Care for Early-Onset Colorectal Cancer in the United States

PURPOSE

Young individuals racialized as Black are more likely to die after a colorectal cancer (CRC) diagnosis than individuals racialized as White in the United States. This study examined racial disparities in receipt of timely and guideline-concordant care among individuals racialized as Black and White with early-onset CRC.

METHODS

Individuals age 18-49 years racialized as non-Hispanic Black and White (self-identified) and newly diagnosed with CRC during 2004-2019 were selected from the National Cancer Database. Patients who received recommended care (staging, surgery, lymph node evaluation, chemotherapy, and radiotherapy) were considered to have received guideline-concordant care. Odds ratios (ORs) were adjusted for age and sex. The decomposition method was used to estimate the relative contribution of demographic characteristics (age and sex), comorbidities, health insurance, and facility type to the racial disparity in receipt of guideline-concordant care. The product-limit method was used to evaluate differences in time to treatment between patients racialized as Black and White.

RESULTS

Of the 84,882 patients with colon cancer and 62,573 patients with rectal cancer, 20.8% and 14.5% were racialized as Black, respectively. Individuals racialized as Black were more likely to not receive guideline-concordant care for colon (adjusted OR [aOR], 1.18 [95% CI, 1.14 to 1.22]) and rectal (aOR, 1.27 [95% CI, 1.21 to 1.33]) cancers. Health insurance explained 28.2% and 21.6% of the disparity among patients with colon and rectal cancer, respectively. Individuals racialized as Black had increased time to adjuvant chemotherapy for colon cancer (hazard ratio [HR], 1.28 [95% CI, 1.24 to 1.32]) and neoadjuvant chemoradiation for rectal cancer (HR, 1.42 [95% CI, 1.37 to 1.47]) compared with individuals racialized as White.

CONCLUSION

Patients with early-onset CRC racialized as Black receive worse and less timely care than individuals racialized as White. Health insurance, a modifiable factor, was the largest contributor to racial disparities in receipt of guideline-concordant care in this study.

Perceived Economic Strain, Subjective Social Status, and Colorectal Cancer Screening Utilization in U.S. Men-A Cross-Sectional Analysis

Although socioeconomic status (SES) is fundamentally related to underutilization of colorectal cancer (CRC) screening, the role of perceived economic strain and subjective social status with CRC screening is understudied. The aim of this study was to investigate whether greater perceived economic strain or lower subjective social status would decrease the odds of CRC screening uptake and being up-to-date with guideline-recommended CRC screening. We also explored interactions with household income and educational attainment. Cross-sectional survey-based data from men aged 45-75 years living in the United States (N = 499) were collected in February 2022. Study outcomes were ever completing a stool- or exam-based CRC screening test and being up-to-date with CRC screening. Perceived economic strain and subjective social status were the predictors. We conducted logistic regression models to estimate odds ratios (OR) and 95% confidence intervals (CI). Greater perceptions of economic strain decreased odds of being up-to-date with CRC screening. Household income modified the association between perceived economic strain and completing a stool-based test; the association was stronger for men from lower-income households. In unadjusted models, higher subjective social status increased odds of completing an exam-based test and being up-to-date with CRC screening. Our findings suggest that experiencing economic strain may interfere with men's CRC screening decisions and may capture additional information about barriers to CRC screening utilization beyond those captured by income or education.

The impact of individual-level income predicted from the BRFSS on the association between insurance status and overall survival among adults with cancer from the SEER program

INTRODUCTION

Among patients with cancer in the United States, Medicaid insurance is associated with worse outcomes than private insurance and with similar outcomes as being uninsured. However, prior studies have not addressed the impact of individual-level socioeconomic status, which determines Medicaid eligibility, on the associations of Medicaid status and cancer outcomes. Our objective was to determine whether differences in cancer outcomes by insurance status persist after accounting for individual-level income.

METHODS

The Surveillance, Epidemiology, and End Results (SEER) database was queried for 18-64 year-old individuals with cancer from 2014-2016. Individual-level income was imputed using a model trained on Behavioral Risk Factors Surveillance Survey participants including covariates also present in SEER. The association of 1-year overall survival and insurance status was estimated with and without adjustment for estimated individual-level income and other covariates.

RESULTS

A total of 416,784 cases in SEER were analyzed. The 1-yr OS for patients with private insurance, Medicaid insurance, and no insurance was 88.7%, 76.1%, and 73.7%, respectively. After adjusting for all covariates except individual-level income, 1-year OS differences were worse with Medicaid (-6.0%, 95% CI = -6.3 to -5.6) and no insurance (-6.7%, 95% CI = -7.3 to -6.0) versus private insurance. After also adjusting for estimated individual-level income, the survival difference for Medicaid patients was similar to privately insured (-0.4%, 95% CI = -1.9 to 1.1) and better than uninsured individuals (2.1%, 95% CI = 0.7 to 3.4).

CONCLUSIONS

Income, rather than Medicaid status, may drive poor cancer outcomes in the low-income and Medicaid-insured population. Medicaid insurance coverage may improve cancer outcomes for low-income individuals.

Association Between Racial and Socioeconomic Disparities and Hospital Performance in Treatment and Outcomes for Patients with Colon Cancer

BACKGROUND

Disparities in colon cancer care and outcomes by race/ethnicity, socioeconomic status (SES), and insurance are well recognized; however, the extent to which inequalities are driven by patient factors versus variation in hospital performance remains unclear. We sought to compare disparities in care delivery and outcomes at low- and high-performing hospitals.

METHODS

We identified patients with stage I-III colon adenocarcinoma from the 2012-2017 National Cancer Database. Adequate lymphadenectomy and timely adjuvant chemotherapy administration defined hospital performance. Multilevel regression models evaluated disparities by race/ethnicity, SES, and insurance at the lowest- and highest-performance quartile hospitals.

RESULTS

Of 92,573 patients from 704 hospitals, 45,982 (49.7%) were treated at 404 low-performing hospitals and 46,591 (50.3%) were treated at 300 high-performing hospitals. Low-performing hospitals treated more non-Hispanic (NH) Black, Hispanic, low SES, and Medicaid patients (all p < 0.01). Among low-performing hospitals, patients with low versus high SES (odds ratio [OR] 0.87, 95% confidence interval [CI] 0.82-0.92), and Medicare (OR 0.90, 95% CI 0.85-0.96) and Medicaid (OR 0.88, 95% CI 0.80-0.96) versus private insurance, had decreased odds of receiving high-quality care. At high-performing hospitals, NH Black versus NH White patients (OR 0.83, 95% CI 0.72-0.95) had decreased odds of receiving high-quality care. Low SES, Medicare, Medicaid, and uninsured patients had worse overall survival at low- and high-performing hospitals (all p < 0.01).

CONCLUSION

Disparities in receipt of high-quality colon cancer care occurred by SES and insurance at low-performing hospitals, and by race at high-performing hospitals. However, survival disparities by SES and insurance exist irrespective of hospital performance. Future steps include improving low-performing hospitals and identifying mechanisms affecting survival disparities.

Disparities in Primary Spinal Osseous Malignant Bone Tumor Survival by Medicaid Status: A National Population-Based Risk Analysis

BACKGROUND

The impact of Medicaid status on survival outcomes of patients with spinal primary malignant bone tumors (sPMBT) has not been investigated.

METHODS

Using the SEER-Medicaid database, adults diagnosed between 2006 and 2013 with sPMBT including chordoma, osteosarcoma, chondrosarcoma, Ewing sarcoma, or malignant giant cell tumor (GCT) were studied. Five-year survival analysis was performed using the Kaplan-Meier method. Adjusted survival analysis was performed using Cox proportional-hazards regression controlling for age, sex, marital status, cancer stage, poverty level, vertebral versus sacral location, geography, rurality, tumor diameter, tumor grade, tumor histology, and therapy.

RESULTS

A total of 572 patients with sPMBT (Medicaid: 59, non-Medicaid: 513) were identified. Medicaid patients were more likely to be younger (P < 0.001), Black (P < 0.001), live in high poverty neighborhoods (P = 0.006), have distant metastases at diagnosis (P < 0.001), and less likely to receive surgery (P = 0.006). The 5-year survival rate was 65.7% (chondrosarcoma: 70.0%, chordoma: 91.5%, Ewing sarcoma: 44.6%, GCT: 90.0%, osteosarcoma: 34.2%). Medicaid patients had significantly worse 5-year survival than non-Medicaid patients (52.0% vs. 67.2%, P = 0.02). Minority individuals on Medicaid were associated with an increased risk of cancer-specific mortality compared with White non-Medicaid patients (adjusted hazard ratio [aHR] = 2.51, [95% CI 1.18-5.35], P = 0.017). Among Medicaid patients, those who received surgery had significantly better survival than those who did not (64.5% vs. 30.6%, P = 0.001). For all patients, not receiving surgery (aHR = 1.90 [1.23-2.95], P = 0.004) and tumor diameter >50 mm (aHR=1.89 [1.10-3.25], P = 0.023) were associated with an increased risk of mortality.

CONCLUSIONS

Medicaid patients may be less likely to receive surgery and suffer from poorer survival. These disparities may be especially prominent among minorities.

A national evaluation of adjuvant chemotherapy in pT4N0M0 colon cancer from the National Cancer Database

BACKGROUND

T stage is a prognostic biomarker for overall survival in colon cancer and pathologic T4 disease is a high-risk characteristic. Adjuvant chemotherapy is recommended to improve overall survival in pT4N0M0, but compliance with guidelines is unknown. We aimed to evaluate adjuvant chemotherapy use and impact on overall survival in pT4N0M0 colon cancer.

METHODS

The National Cancer Database was reviewed for pT4N0M0 colon adenocarcinomas undergoing curative surgical resection (2010-2017). Cases were stratified into no adjuvant chemotherapy and adjuvant chemotherapy cohorts. Moderated multiple regression assessed factors associated with no AC. Kaplan-Meier and Cox regression assessed overall survival in propensity-score matched cohorts. The main outcome measures were adjuvant chemotherapy use, factors associated with adjuvant chemotherapy, and impact on overall survival.

RESULTS

Of 11 847 cases, 62.4% (n = 7391) received no adjuvant chemotherapy. With private insurance, comorbidities or income do not affect adjuvant chemotherapy use. Medicare cases with a Charlson-Deyo comorbidity index of 0 (odds ratio [OR] = 0.861, 95% confidence interval [CI] = 0.760 to 0.975; P = .019) and Medicare payors with high income (OR = 0.813, 95% CI = 0.690 to 0.959; P = .014) were associated with adjuvant chemotherapy. Medicaid Charlson-Deyo comorbidity index 0 (OR = 1.374, 95% CI = 1.125 to 1.679; P = .002) and uninsured Charlson-Deyo comorbidity index 0 (OR = 1.351, 95% CI = 1.120 to 1.629; P = .002) were associated with no adjuvant chemotherapy. Adjuvant chemotherapy was associated with improved 5-year overall survival (71.7% vs 56.4%; P < .001; adjusted hazard ratio = 0.543, 95% CI = 0.499 to 0.590; P < .001).

CONCLUSION

Although adjuvant chemotherapy is associated with improved overall survival, compliance is low. There is a complex relationship between payor, income, comorbidity, and adjuvant chemotherapy receipt. Medicare patients with no comorbidities or higher income have better adjuvant chemotherapy use. With private insurance, adjuvant chemotherapy compliance is not affected by comorbidities or income, whereas Medicaid and uninsured patients with no comorbidities have poor compliance. Future work could target these disparities for equitable care.

Socioeconomic disparities in patients with small bowel neuroendocrine tumors

BACKGROUND AND OBJECTIVES

Demographic and socioeconomic disparities affect cancer specific outcomes in numerous malignancies, but the impact of these for patients with small bowel neuroendocrine tumors (SBNETs) is not well understood. The primary objective was to investigate the impact of demographic and socioeconomic factors on overall survival (OS) for patients with SBNETs.

METHODS

We performed a retrospective cohort study utilizing the National Cancer Database to assess patients diagnosed with SBNET between 2004 and 2015. Patients were stratified by demographics, socioeconomic factors, insurance status, and place of living.

RESULTS

The 5-year OS for the entire cohort was 78.5%. The 5-year survival was worse in patients with lower income (p < 0.0001), lower education (p < 0.0001), not in proximity to a metro area (p = 0.0004), and treatment at a community cancer center (p < 0.0001). Adjusting for age and sex, factors associated with worse OS were lower income (<$38 000) (hazard ratio [HR]: 1.16, 95% confidence interval [CI]: 1.04-1.28), lower education (>20% no HSD) (HR: 1.14, 95% CI: 1.02-1.26), no insurance (HR: 1.66, 95% CI: 1.33-2.06), and not living in proximity to a metro area (HR: 1.27, 95% CI: 1.10-1.47).

CONCLUSIONS

Patient demographics and socioeconomic factors play an important role in survival of patients with SBNETs, specifically proximity to a metro area, median income, education level, and type of treatment center. Strategies to improve access to care must be considered in this at-risk population.

Colon Cancer Disparities in Stage at Presentation and Time to Surgery for Asian Americans, Native Hawaiians, and Pacific Islanders: A Study with Disaggregated Ethnic Groups

BACKGROUND

Vast differences in barriers to care exist among Asian American, Native Hawaiian, and Pacific Islander (AANHPI) groups and may manifest as disparities in stage at presentation and access to treatment. Thus, we characterized AANHPI patients with stage 0-IV colon cancer and examined differences in (1) stage at presentation and (2) time to surgery relative to white patients.

PATIENTS AND METHODS

We assessed all patients in the National Cancer Database (NCDB) with stage 0-IV colon cancer from 2004 to 2016 who identified as white, Chinese, Japanese, Filipino, Native Hawaiian, Korean, Vietnamese, Laotian, Hmong, Kampuchean, Thai, Asian Indian or Pakistani, and Pacific Islander. Multivariable ordinal logistic regression defined adjusted odds ratios (AORs), with 95% confidence intervals (CI), of (1) patients presenting with advanced stage colon cancer and (2) patients with stage 0-III colon cancer receiving surgery at ≥ 60 days versus 30-59 days versus < 30 days postdiagnosis, adjusting for sociodemographic/clinical factors.

RESULTS

Among 694,876 patients, Japanese [AOR 1.08 (95% CI 1.01-1.15), p < 0.05], Filipino [AOR 1.17 (95% CI 1.09-1.25), p < 0.001], Korean [AOR 1.09 (95% CI 1.01-1.18), p < 0.05], Laotian [AOR 1.51 (95% CI 1.17-1.95), p < 0.01], Kampuchean [AOR 1.33 (95% CI 1.04-1.70), p < 0.01], Thai [AOR 1.60 (95% CI 1.22-2.10), p = 0.001], and Pacific Islander [AOR 1.41 (95% CI 1.20-1.67), p < 0.001] patients were more likely to present with more advanced colon cancer compared with white patients. Chinese [AOR 1.27 (95% CI 1.17-1.38), p < 0.001], Japanese [AOR 1.23 (95% CI 1.10-1.37], p < 0.001], Filipino [AOR 1.36 (95% CI 1.22-1.52), p < 0.001], Korean [AOR 1.16 (95% CI 1.02-1.32), p < 0.05], and Vietnamese [AOR 1.55 (95% CI 1.36-1.77), p < 0.001] patients were more likely to experience greater time to surgery than white patients. Disparities persisted when comparing among AANHPI subgroups.

CONCLUSIONS

Our findings reveal key disparities in stage at presentation and time to surgery by race/ethnicity among AANHPI subgroups. Heterogeneity upon disaggregation underscores the importance of examining and addressing access barriers and clinical disparities.

Disparities in primary pancreatic adenocarcinoma survival by Medicaid-status: A national population-based risk analysis

BACKGROUND

Pancreatic adenocarcinoma (PAC) has one of the highest mortality rates among all malignancies. While previous research has analyzed socioeconomic factors' effect on PAC survival, outcomes of Medicaid patients are understudied.

METHODS

Using the SEER-Medicaid database, we studied non-elderly, adult patients with primary PAC diagnosed between 2006 and 2013. Five-year disease-specific survival analysis was performed using the Kaplan-Meier method and adjusted analysis using Cox proportional-hazards regression.

RESULTS

Among 15,549 patients (1799 Medicaid, 13,750 non-Medicaid), Medicaid patients were less likely to receive surgery (p < .001) and more likely to be non-White (p < .001). The 5-year survival of non-Medicaid patients (8.13%, 274 days [270-280]) was significantly higher than that of Medicaid patients (4.97%, 152 days, [151-182], p < .001). Among Medicaid patients, those in high poverty areas had significantly lower survival rates (152 days [122-154]) than those in medium poverty areas (182 days [157-213], p = .008). However, non-White (152 days [150-182]) and White Medicaid patients (152 days [150-182]) had similar survival (p = .812). On adjusted analysis, Medicaid patients were still associated with a significantly higher risk of mortality (aHR 1.33 [1.26-1.41], p < .0001) compared to non-Medicaid patients. Unmarried status and rurality were associated with a higher risk of mortality (p < .001).

DISCUSSION

Medicaid enrollment prior to PAC diagnosis was generally associated with a higher risk of disease-specific mortality. While there was no difference in the survival between White and non-White Medicaid patients, Medicaid patients living in high poverty areas were shown to be associated with poor survival.

An Exploratory Analysis of Differential Prescribing of High-Risk Opioids by Insurance Type Among Patients Seen by the Same Clinician

BACKGROUND

Insurance status may influence quality of opioid analgesic (OA) prescribing among patients seen by the same clinician.

OBJECTIVE

To explore how high-risk OA prescribing varies by payer type among patients seeing the same prescriber and identify clinician characteristics associated with variable prescribing DESIGN: Retrospective cohort study using the 2016-2018 IQVIA Real World Data - Longitudinal Prescription PARTICIPANTS: New OA treatment episodes for individuals ≥ 12 years, categorized by payer and prescriber. We created three dyads: prescribers with ≥ 10 commercial insurance episodes and ≥ 10 Medicaid episodes; ≥ 10 commercial insurance episodes and ≥ 10 self-pay episodes; and ≥ 10 Medicaid episodes and ≥ 10 self-pay episodes.

MAIN OUTCOME(S) AND MEASURE(S)

Rates of high-risk episodes (initial opioid episodes with > 7-days' supply or prescriptions with a morphine milliequivalent daily dose >90) and odds of being an unbalanced prescriber (prescribers with significantly higher percentage of high-risk episodes paid by one payer vs. the other payer) KEY RESULTS: There were 88,352 prescribers in the Medicaid/self-pay dyad, 172,392 in the Medicaid/commercial dyad, and 122,748 in the self-pay/commercial dyad. In the Medicaid/self-pay and the commercial-self-pay dyads, self-pay episodes had higher high-risk episode rates than Medicaid (16.1% and 18.4%) or commercial (22.7% vs. 22.4%). In the Medicaid/commercial dyad, Medicaid had higher high-risk episode rates (21.1% vs. 20.4%). The proportion of unbalanced prescribers was 11-12% across dyads. In adjusted analyses, surgeons and pain specialists were more likely to be unbalanced prescribers than adult primary care physicians (PCPs) in the Medicaid/self-paydyad (aOR 1.2, 95% CI 1.16-1.34 and aOR 1.2, 95% CI 1.03-1.34). For Medicaid/commercial and self-pay/commercial dyads, surgeons had lower odds of being unbalanced compared to PCPs (aOR 0.6, 95% CI 0.57-0.66 and aOR 0.6, 95% CI 0.61-0.68).

CONCLUSIONS

Clinicians prescribe high-risk OAs differently based on insurance type. The relationship between insurance and opioid prescribing quality goes beyond where patients receive care.

Extent of Follow-Up on Abnormal Cancer Screening in Multiple California Public Hospital Systems: A Retrospective Review

BACKGROUND

Inequitable follow-up of abnormal cancer screening tests may contribute to racial/ethnic disparities in colon and breast cancer outcomes. However, few multi-site studies have examined follow-up of abnormal cancer screening tests and it is unknown if racial/ethnic disparities exist.

OBJECTIVE

This report describes patterns of performance on follow-up of abnormal colon and breast cancer screening tests and explores the extent to which racial/ethnic disparities exist in public hospital systems.

DESIGN

We conducted a retrospective cohort study using data from five California public hospital systems. We used multivariable robust Poisson regression analyses to examine whether patient-level factors or site predicted receipt of follow-up test.

MAIN MEASURES

Using data from five public hospital systems between July 2015 and June 2017, we assessed follow-up of two screening results: (1) colonoscopy after positive fecal immunochemical tests (FIT) and (2) tissue biopsy within 21 days after a BIRADS 4/5 mammogram.

KEY RESULTS

Of 4132 abnormal FITs, 1736 (42%) received a follow-up colonoscopy. Older age, Medicaid insurance, lack of insurance, English language, and site were negatively associated with follow-up colonoscopy, while Hispanic ethnicity and Asian race were positively associated with follow-up colonoscopy. Of 1702 BIRADS 4/5 mammograms, 1082 (64%) received a timely biopsy; only site was associated with timely follow-up biopsy.

CONCLUSION

Despite the vulnerabilities of public-hospital-system patients, follow-up of abnormal cancer screening tests occurs at rates similar to that of patients in other healthcare settings, with colon cancer screening test follow-up occurring at lower rates than follow-up of breast cancer screening tests. Site-level factors have larger, more consistent impact on follow-up rates than patient sociodemographic traits. Resources are needed to identify health system-level factors, such as test follow-up processes or data infrastructure, that improve abnormal cancer screening test follow-up so that effective health system-level interventions can be evaluated and disseminated.

Changes in the Proportion of Patients Presenting With Early Stage Colon Cancer Over Time Among Medicaid Expansion and Nonexpansion States: A Cross-sectional Study

BACKGROUND

The 2010 Patient Protection and Affordable Care Act mandated preventive screening coverage and provided support to participating states for Medicaid coverage. The association of Medicaid expansion with colon cancer stage at diagnosis is unknown.

OBJECTIVE

This study aimed to determine whether the proportion of patients diagnosed with early stage colon cancer changed over time within states that expanded Medicaid compared with nonexpansion states.

DESIGN

This is a cross-sectional cohort study.

SETTING

This study evaluated multicenter registry data from the National Cancer Database (2006-2016).

PATIENTS

There were 25,462 uninsured or Medicaid-insured patients with newly diagnosed colon cancer who resided in 2014 Medicaid expansion or nonexpansion states.

MAIN OUTCOME MEASURES

This study assessed the annual proportion of patients with early stage (I-II) versus late stage (III-IV) colon cancer.

RESULTS

A total of 10,289 patients were identified in expansion states and 15,173 patients in nonexpansion states. Cohorts were similar in age (median 55 years) and sex (46.7% female). A greater proportion of patients in nonexpansion states were Black (33.4% vs 24.0%) and resided in a zip code with median income <$38,000 (39.7% vs 28.2%) and lower educational status (37.4% vs 28.1%). In 2006, the proportions of patients with early stage colon cancer in expansion and nonexpansion cohorts were similar (33.2% vs 32.5%). The proportion of patients with early stage colon cancer within nonexpansion states declined by 0.8% per year after 2014, whereas the proportion within expansion states increased by 0.9% per year after 2014 ( p < 0.05). By 2016, the absolute difference in the propensity-adjusted proportion of early stage colon cancer was 8.8% (39.7% vs 30.9%, p < 0.001).

LIMITATIONS

National Cancer Database data are obtained only from Commission on Cancer-accredited sites and are not population based.

CONCLUSIONS

After Medicaid expansion in 2014, the proportion of patients diagnosed and treated at Commission on Cancer-accredited facilities with early stage colon cancer increased within expansion states and decreased in nonexpansion states. Increase in insurance coverage may have facilitated earlier diagnosis among patients in expansion states. See Video Abstract at http://links.lww.com/DCR/B804 .

CAMBIOS EN LA PROPORCIN DE PACIENTES QUE PRESENTAN CNCER DE COLON EN ESTADIO TEMPRANA A LO LARGO DEL TIEMPO ENTRE LOS ESTADOS DE EXPANSIN Y NO EXPANSIN DE MEDICAID UN ESTUDIO TRANSVERSAL

ANTECEDENTES:La Ley del Cuidado de Salud a Bajo Precio del 2010 ordenó la cobertura de exámenes preventivos y brindó apoyo a los estados participantes para la cobertura de Medicaid. Se desconoce la asociación de la expansión de Medicaid con el estadio del cáncer de colon en el momento del diagnóstico.OBJETIVO:Determinar si la proporción de pacientes diagnosticados con cáncer de colon en estadio temprano cambió con el tiempo dentro de los estados que expandieron Medicaid en comparación con los estados sin expansión.DISEÑO:Estudio de cohorte transversal.ENTORNO CLINICO:Datos de registro multicéntrico de la Base de datos nacional de cáncer (2006-2016).PACIENTES:Había 25,462 pacientes sin seguro o asegurados por Medicaid con cáncer de colon recién diagnosticado. Exposición: Residencia en estados de expansión o no expansión de Medicaid en el 2014.PRINCIPALES MEDIDAS DE RESULTADO:Proporción anual de pacientes con cáncer de colon en estadio temprano (I-II) versus tardío (III-IV).RESULTADOS:Se identificaron un total de 10.289 pacientes en estados de expansión y 15.173 pacientes en estados de no expansión. Las cohortes fueron similares en edad (mediana de 55 años) y sexo (46,7% mujeres). Una mayor proporción de pacientes en estados sin expansión eran de raza negra (33,4% vs 24,0%) y residían en un código postal con ingresos medios <$38 000 (39,7% vs 28,2%) y un nivel educativo más bajo (37,4% vs 28,1%). En el 2006, las proporciones de pacientes con cáncer de colon en estadio temprano en cohortes en expansión y sin expansión fueron similares (33,2% vs 32,5%). La proporción de pacientes con estadio temprano dentro de los estados sin expansión disminuyó en un 0,8% por año después del 2014, mientras que la proporción dentro de los estados de expansión aumentó en un 0,9% por año después del 2014 (p <0,05). Para el 2016, la diferencia absoluta en la proporción ajustada por propensión de cáncer de colon en estadio temprano fue de 8.8% (39.7% vs 30.9%, p <0.001).LIMITACIONES:Los datos de la Base de datos nacional de cáncer se obtienen únicamente de los sitios acreditados por la Comisión de cáncer y no se basan en la población.CONCLUSIONES:Después de la expansión de Medicaid en el 2014, la proporción de pacientes diagnosticados y tratados en instalaciones acreditadas por la Comisión de Cáncer en pacientes con cáncer de colon en estadio temprano aumentó dentro de los estados de expansión y disminuyó en los estados de no expansión. El aumento de la cobertura del seguro puede haber facilitado un diagnóstico más temprano entre los pacientes en estados de expansión. Consulte Video Resumen en http://links.lww.com/DCR/B804 . (Traducción- Dr. Francisco M. Abarca-Rendon ).

Improved Survival of Young Adults with Cancer Following the Passage of the Affordable Care Act

Background

Compared with their ensured counterparts, uninsured adolescents and young adults (AYAs) with cancer are more likely to present with advanced disease and have poor prognoses. The Patient Protection and Affordable Care Act (ACA), enacted in 2010, provided health care coverage to millions of uninsured young adults by allowing them to remain on their parents’ insurance until age 26 years (the Dependent Care Expansion, DCE). The impact of the expansion of insurance coverage on survival outcomes for young adults with cancer has not been assessed.

Participants

Utilizing the Surveillance, Epidemiology, and End Results database, we identified all patients aged 12-16 (younger-AYAs), 19-23 (middle-AYAs), and 26-30 (older-AYAs) who were diagnosed with cancer between 2006-2008 (pre-ACA) and 2011-2013 (post-ACA).

Methods

In this population-based cohort study, we used an accelerated failure time model to assess changes in survival rates before and after the enactment of the ACA DCE.

Results

Middle-AYAs ages 19-23 (thus eligible to remain on their parents’ insurance) experienced significantly increased 2-year survival after the enactment of the ACA DCE (survival time ratio 1.25, 95% confidence interval: 0.75-2.43, P = .029) and that did not occur in younger-AYAs (ages 12-16). Patients with sarcoma and acute myeloid leukemia accounted for the majority of improvement in survival. Middle-AYAs of hispanic ethnicity and those with low socioeconomic status experienced trends of improved survival after the ACA DCE was enacted.

Conclusion

Survival outcomes improved for young adults with cancer following the expansion of health insurance coverage. Efforts are needed to expand coverage for the millions of young adults who do not have health insurance.

Influence of psychosocial and sociodemographic factors in the surgical management of traumatic cervicothoracic spinal cord injury at level I and II trauma centers in the United States

Background

Socioeconomic factors can bias clinician decision-making in many areas of medicine. Psychosocial characteristics such as diagnosis of alcoholism, substance abuse, and major psychiatric disorder are emerging as potential sources of conscious and unconscious bias. We hypothesized that these psychosocial factors, in addition to socioeconomic factors, may impact the decision to operate on patients with a traumatic cervicothoracic fracture and associated spinal cord injury (SCI).

Methods

We performed a cohort analysis using clinical data from 2012-2016 in the American College of Surgeons (ACS) National Trauma Data Bank at academic level I and II trauma centers. Patients were eligible if they had a diagnosis of cervicothoracic fracture with SCI. Using ICD codes, we evaluated baseline characteristics including race; insurance status; diagnosis of alcoholism, substance abuse, or major psychiatric disorder; admission drug screen and blood alcohol level; injury characteristics and severity; and hospital characteristics including geographic region, non-profit status, university affiliation, and trauma level. Factors significantly associated with surgical intervention in univariate analysis were eligible for inclusion in multivariate logistic regression.

Results

We identified 6,655 eligible patients, of whom 62% underwent surgical treatment (n=4,137). Patients treated non-operatively were more likely to be older; be female; be Black or Hispanic; have Medicare, Medicaid, or no insurance; have been assaulted; have been injured by a firearm; have thoracic fracture; have less severe injuries; have severe TBI; be treated at non-profit hospitals; and be in the Northeast or Western U.S. (all P<0.01). After adjusting for confounders in multivariate analysis, only insurance status remained associated with operative treatment. Medicaid patients (OR=0.81; P=0.021) and uninsured patients (OR=0.63; P<0.001) had lower odds of surgery relative to patients with private insurance. Injury severity and facility characteristics also remained significantly associated with surgical management following multivariate regression.

Conclusions

Psychosocial characteristics such as diagnosis of alcoholism, substance abuse, or psychiatric illness do not appear to bias the decision to operate after traumatic cervicothoracic fracture with SCI. Baseline sociodemographic imbalances were explained largely by insurance status, injury, and facility characteristics in multivariate analysis.

Association of race and health insurance in treatment disparities of colon cancer: A retrospective analysis utilizing a national population database in the United States

BACKGROUND

Both health insurance status and race independently impact colon cancer (CC) care delivery and outcomes. The relative importance of these factors in explaining racial and insurance disparities is less clear, however. This study aimed to determine the association and interaction of race and insurance with CC treatment disparities.

STUDY SETTING

Retrospective cohort review of a prospective hospital-based database.

METHODS AND FINDINGS

In this cross-sectional study, patients diagnosed with stage I to III CC in the United States were identified from the National Cancer Database (NCDB; 2006 to 2016). Multivariable regression with generalized estimating equations (GEEs) were performed to evaluate the association of insurance and race/ethnicity with odds of receipt of surgery (stage I to III) and adjuvant chemotherapy (stage III), with an additional 2-way interaction term to evaluate for effect modification. Confounders included sex, age, median income, rurality, comorbidity, and nodes and margin status for the model for chemotherapy. Of 353,998 patients included, 73.8% (n = 261,349) were non-Hispanic White (NHW) and 11.7% (n = 41,511) were non-Hispanic Black (NHB). NHB patients were less likely to undergo resection [odds ratio (OR) 0.66, 95% confidence interval [CI] 0.61 to 0.72, p < 0.001] or to receive adjuvant chemotherapy [OR 0.83, 95% CI 0.78 to 0.87, p < 0.001] compared to NHW patients. NHB patients with private or Medicare insurance were less likely to undergo resection [OR 0.76, 95% CI 0.63 to 0.91, p = 0.004 (private insurance); OR 0.59, 95% CI 0.53 to 0.66, p < 0.001 (Medicare)] and to receive adjuvant chemotherapy [0.77, 95% CI 0.68 to 0.87, p < 0.001 (private insurance); OR 0.86, 95% CI 0.80 to 0.91, p < 0.001 (Medicare)] compared to similarly insured NHW patients. Although Hispanic patients with private and Medicare insurance were also less likely to undergo surgical resection, this was not the case with adjuvant chemotherapy. This study is mainly limited by the retrospective nature and by the variables provided in the dataset; granular details such as continuity or disruption of insurance coverage or specific chemotherapy agents or dosing cannot be assessed within NCDB.

CONCLUSIONS

This study suggests that racial disparities in receipt of treatment for CC persist even among patients with similar health insurance coverage and that different disparities exist for different racial/ethnic groups. Changes in health policy must therefore recognize that provision of insurance alone may not eliminate cancer treatment racial disparities.

Nomogram of conditional survival probability of long-term Survival for Metastatic Colorectal Cancer: A Real-World Data Retrospective Cohort Study from SEER database

BACKGROUND

Many patients with metastatic colorectal cancer (mCRC) have better prognosis than the prediction at diagnosis. Compared with invariable traditional Kaplan Meier assessment, conditional survival (CS) assessment has become a more accurate and informative assessment method to predict survival time.

MATERIALS AND METHODS

Patients with mCRC between 2010 and 2015 were extracted from Surveillance, Epidemiology and End Results linked database. CS analysis was applied to depict exact survival for patients who have survived for specific year and standardized difference (d) was used to evaluate the differences between subgroups in CS analysis. Based on variables selected by Lasso analysis, nomograms for each year after diagnosis were fitted to estimate 3-year survival of stage IV CRC, respectively.

RESULTS

Of 9732 patients, overall actuarial survival (OS) decreased from 24% at 4-year to 16% at 6-year, while corresponding 3-year CS (CS3) increased from 33% at 1-year to 48% at 3-year. Overall, CS3 was higher than corresponding actuarial survival. All clinicopathological characteristics were associated with actuarial survival (p < 0.05). However, in CS3 analysis, survival difference caused by gender, race and tumor size gradually disappeared over time (|d|>0.1→ |d|<0.1). Furthermore, survival difference caused by histological type, brain metastasis and chemotherapy reversed over time (d > 0→d<0 or d<0→d>0). Based on lasso analysis, nomograms for 1st, 2nd and 3rd year after diagnosis were conducted respectively. The AUC of nomogram for 1st year was 0.705, for 2nd year was 0.675, and for 3rd year was 0.648.

CONCLUSION

Patients with mCRC demonstrated a substantial increase in CS over time. Risk factors collected at diagnosis may change gradually. Nomograms constructed by survival time can predict more accurate survival for patients with mCRC. Conditional survival assessments provide important quantitative information about the probability of survival and are therefore of great value to patients and health care professionals.

Intersection of social vulnerability and residential diversity: Postoperative outcomes following resection of lung and colon cancer

INTRODUCTION

While the impact of demographic factors on postoperative outcomes has been examined, little is known about the intersection between social vulnerability and residential diversity on postoperative outcomes following cancer surgery.

METHODS

Individuals who underwent a lung or colon resection for cancer were identified in the 2016-2017 Medicare database. Data were merged with the Centers for Disease Control and Prevention social vulnerability index and a residential diversity index was calculated. Logistic regression models were utilized to estimate the probability of postoperative outcomes.

RESULTS

Among 55 742 Medicare beneficiaries who underwent lung (39.4%) or colon (60.6%) resection, most were male (46.6%), White (90.2%) and had a mean age of 75.3 years. After adjustment for competing risk factors, both social vulnerability and residential diversity were associated with mortality and other postoperative outcomes. In assessing the intersection of social vulnerability and residential diversity, synergistic effects were noted as patients from counties with low social vulnerability and high residential diversity had the lowest probability of 30-day mortality (3.2%, 95% confidence interval [CI]: 3.0-3.5) while patients from counties with high social vulnerability and low diversity had a higher probability of 30-day postoperative death (5.2%, 95% CI: 4.6-5.8; odds ratio: 1.02, 95% CI: 1.01-1.03).

CONCLUSION

Social vulnerability and residential diversity were independently associated with postoperative outcomes. The intersection of these two social health determinants demonstrated a synergistic effect on the risk of adverse outcomes following lung and colon cancer surgery.

Disparities in Characteristics, Access to Care, and Oncologic Outcomes in Young-Onset Colorectal Cancer at a Safety-Net Hospital

PURPOSE

Young-onset colorectal cancer is an emerging cause of significant morbidity and mortality globally. Despite this, limited data exist regarding clinical characteristics and outcomes, particularly in safety-net populations where access to care is limited. We aimed to study disparities in clinical characteristics and outcomes in patients with young-onset colorectal cancer in the safety-net setting.

METHODS

We performed a retrospective review of patients < 50 years old diagnosed and/or treated for colorectal cancer between 2001 and 2017 at a safety-net hospital. Kaplan-Meier and Cox regression models were constructed to compare overall survival (OS), progression-free survival (PFS), and relapse-free survival (RFS) by race and ethnicity, stratifying for relevant clinical and pathologic factors.

RESULTS

A total of 395 young-onset patients diagnosed at a safety-net hospital were identified and 270 were included in the analysis (49.6% Hispanic, 25.9% non-Hispanic Black, 20.0% non-Hispanic White, and 4.4% other). Non-Hispanic White race was independently associated with worse OS (hazzard ratio [HR], 0.53; 95% CI, 0.29 to 0.97), as were lack of insurance, higher clinical stage, and mismatch repair proficiency. There was no significant difference seen in PFS or RFS between racial and ethnic groups.

CONCLUSION

Non-Hispanic White race or ethnicity was found to be independently associated with worse OS in a safety-net population of patients with young-onset colorectal cancer. Other independent predictors of worse OS include higher stage, lack of insurance, and mismatch repair proficiency.

Navigating a Path to Equity in Cancer Care: The Role of Patient Navigation

Notable barriers exist in the delivery of equitable care for all patients with cancers. Social determinants of health at distal, intermediate, and proximal levels impact cancer care. Patient navigation is a patient-centered intervention that functions across these overlapping determinants to increase access to cancer services throughout the cancer care continuum. There is a need to standardize patient navigation training while remaining responsive to local contexts of care and a need to implement patient navigation programs with a health equity lens to address cancer care inequities.

Colorectal Cancer Risk Factors and Screening Among the Uninsured of Tampa Bay: A Free Clinic Study

Introduction

Uninsured patients with low socioeconomic status are at high risk for developing colorectal cancer (CRC), and data on risk factors and prevalence of CRC in this population are limited. The purpose of this study was to assess the risk factors for CRC in uninsured patients from free clinics in the Tampa Bay area of Florida.

Methods

We conducted a retrospective cohort study among patients 50 years or older who were provided service at 9 free clinics in the Tampa Bay area between 2016 and 2018. Demographics, chronic disease characteristics, and screening data were collected via a query of paper and electronic medical records.

Results

Of the 13,982 patients seen, 5,139 (36.8%) were aged 50 years or older. Most were female (56.8%), non-Hispanic White (41.1%), and unemployed (54.9%). Patients with CRC screening were more likely to be employed compared with patients without CRC screening (54.4% vs 44.4%, P = .01). Within the cohort, 725 (22.7%) patients were active smokers, 771 (29.2%) patients currently consumed alcohol, and 23 patients (0.4%) had a history of inflammatory bowel disease. Patients had a median body mass index of 29.4 (interquartile range, 25.4–34.2) kg/m², and 1,455 (28.3%) had diabetes. Documented CRC screening was found among 341 (6.6%) patients.

Conclusion

Uninsured patients had a high prevalence of CRC risk factors but a low reported screening rate for CRC. Free clinics are uniquely positioned to provide patients at high risk for CRC with strategies to decrease their risk and to be screened for CRC.

Colon cancer survival in California from 2004 to 2011 by stage at diagnosis, sex, race/ethnicity, and socioeconomic status

BACKGROUND

Disparities in cancer survival exist between groups. This study aims to examine these disparities in stage-, sex-, race/ethnicity-, and socioeconomic-specific colon cancer net survival in California for adults diagnosed between 2004 and 2011.

METHODS

We estimated age-standardized net survival using the Pohar Perme estimator for colon cancer by stage at diagnosis (localized, regional, and distant), sex, race/ethnicity (Non-Hispanic White, Non-Hispanic Black, and Hispanic), and socioeconomic status (SES). Data from the Surveillance, Epidemiology, and End Results database on adults diagnosed with malignant colon cancer during 2004-2011 in California were included (n = 78,285). County-level SES was approximated using quintile groupings based on the Federal Poverty Level.

RESULTS

Five-year survival for all included adults was 66.0 % (95 % CI: 65.6 %-66.4 %). The difference between Non-Hispanic White (White) adults and Non-Hispanic Black (Black) adults was 9.3 %, and between White adults and Hispanic adults was 3.4 %. A higher proportion of Black (24.5 %) and Hispanic (21.4 %) adults were diagnosed with distant disease compared to White adults (19.4 %). Differences in sex-specific survival were minimal, with only differences between Hispanic men (62.0 % [60.5 %-63.4 %]) and women (65.9 % [64.4 %-67.3 %]). SES differences were largest between the lowest quintile 63.0 % (62.3 %-65.2 %) and the highest quintile 67.8 % (66.8 %-68.8 %). SES-, stage-, and race/ethnicity-stratified analysis demonstrated improving trends for White adults with localized and regional disease, and Hispanic adults with regional disease.

CONCLUSION

Colon cancer survival in California is lower for Black and Hispanic adults than for White adults in all three categories: stage, sex, and SES, suggesting the need for improved health policy for Hispanic and Black adults.

Association of insurance disparities and survival in adults with multiple myeloma: A non-concurrent cohort study

BACKGROUND

Multiple myeloma (MM) accounts for 10 % of all hematological malignancies. As recent advances in MM treatment continue to improve survival rates, socioeconomic barriers need to be identified to ensure equal treatment. This study evaluates the association between insurance status and survival in patients with MM.

METHODS

This study analyzed patients with MM from the 2007-2016 Surveillance, Epidemiology, and End Results (SEER) Program database. Insurance status was categorized as uninsured, Medicaid, private insurance, and other insurance. Cancer-specific survival was measured at one- and five-years post diagnosis.

RESULTS

From 2007-2016, there were 41,846 patients with MM extracted from the SEER database. Those with private insurance had a higher proportion of participants that identified as married (65.5 %), resided in metropolitan cities (90.1 %), and identified as white (76 %) and non-Hispanic (90.8 %). The uninsured group had the highest proportion of Black participants compared to other insurance groups (37.4 %). After adjustment for age, sex, race, ethnicity, marital status, and residence, the likelihood of five-year survival was significantly lower in those respondents with Medicaid (adjusted (adj) Hazard Ratio (HR): 1.44; 95 % Confidence Interval (CI): 1.36-1.53), when compared with private insurance holders. Those who were uninsured had a 26 % increased mortality hazard than those with private insurance (95 % CI 1.04-1.53).

CONCLUSION

After adjustment, insurance status can influence the survival of adults with MM. As treatment modalities for MM continue to advance, the insurance status of a patient should not hinder their ability to receive the most effective and timely therapies.

Stage and mortality of low-income patients with cancer: Evidence from SEER-Medicaid

BACKGROUND

A national data source for identifying patients with cancer enrolled in Medicaid is needed to evaluate cancer care for low-income, publicly insured patients. In this study, a population-based data set of patients diagnosed with cancer and enrolled in Medicaid was created and evaluated. The objective was to compare the characteristics of patients with cancer identified in Surveillance, Epidemiology, and End Results (SEER) data and linked to the Medicaid Analytic eXtract (MAX) Personal Summary files with the characteristics of patients who were not linked to the MAX file.

METHODS

All persons in 14 SEER registries diagnosed with cancer from 2006 to 2013 who were or were not linked to the 2006-2013 nationwide MAX files were selected, and patient demographic characteristics were compared for 3 age groups. Common cancer sites and the timing of Medicaid enrollment with respect to patients' cancer diagnoses were reported, and the stage at diagnosis and 4-year mortality were compared by 3 categories of Medicaid enrollment.

RESULTS

Approximately 18% of the sample was enrolled in Medicaid within 25 months of diagnosis. Enrollees had a greater proportion of racial/ethnic minorities in comparison with patients who were not enrolled. A late-stage diagnosis was more common among Medicaid patients and particularly among those who enrolled after their diagnosis. For every common cancer site, mortality was highest in the sample of Medicaid patients who enrolled after their diagnosis.

CONCLUSIONS

The Medicaid enrollment data newly added to SEER records enhance researchers' ability to investigate research questions related to Medicaid policies and care delivery. For patients enrolled before their diagnosis, Medicaid appears to offer protection against late-stage disease and mortality.

Oncologic Services Through Project Access and Other Safety Net Care Coordination Programs

PURPOSE

Little is known about the provision of oncologic services by Project Access safety net care coordination programs.

MATERIALS AND METHODS

Information on safety net care coordination program locations, health services, and patient eligibility was obtained via program Web sites and calls. For programs not offering oncologic care, program directors were interviewed to identify oncologic care barriers.

RESULTS

Web sites of 29 safety net care coordination programs in 22 states were identified; 62% (n = 18) offered oncologic services. Programs were in 65% (n = 11) of states that did not expand Medicaid. Of those offering oncologic services, 83% (n = 15) offered free chemotherapy, and 93% (n = 27) of all programs offered oncologic imaging. Program director interviews revealed costs, longitudinal care, and multiple-physician buy-in as barriers limiting oncologic care.

CONCLUSION

Third-party care coordination centers provide a novel and potentially unrecognized approach to increasing oncology service access. Further research should identify strategies to overcome the relative lack of oncologic care offerings.

Refusal of Cancer-Directed Surgery in Patients with Colon Cancer: Risk Factors of Refusal and Survival Data

INTRODUCTION

Colon cancer is the third leading cause of cancer-related deaths. Although there have been numerous advancements in treatment options, electing to undergo surgery is a difficult decision, and some patients may be hesitant to undergo surgery. We sought to understand the risk factors associated with refusal of surgery and predictors of mortality in patients with colon cancer.

METHODS

We retrospectively reviewed the Surveillance, Epidemiology, and End Results database for patients diagnosed with colon cancer from 1995 to 2015. We stratified patients according to whether they underwent surgery or refused recommended surgery. We analyzed numerous demographic, surgical, and oncologic variables and performed univariate analysis to assess predictors for refusal of surgery as well as survival and mortality risk in those refusing surgery.

RESULTS

Our analysis included 288,322 patients with primary colon cancer where 284,591 (98.7%) underwent cancer-direct surgery and 3731 (1.3%) refused recommended surgery. Those refusing cancer directed surgery were more likely to be > 70 years old, non-Hispanic black patients, and have distant staged cancer (all p < 0.001). In those refusing surgery, risks for mortality included older age, female gender, widowhood, higher grade or distant-staged cancer, and a positive CEA.

CONCLUSIONS

Disparities in care related to patient race, gender, and insurance status were related to patients who refused surgical interventions. This study helps to identify patients who are more likely to refuse surgery and may assist in navigating conversations with patients who are contemplating treatment options.

Refusal of surgery for colon cancer: Sociodemographic disparities and survival implications among US patients with resectable disease

BACKGROUND

We aimed to identify factors associated with refusal of surgery among patients with colon cancer.

METHODS

This 2004-2016 NCDB retrospective study identified AJCC stage I-III colon cancer patients who were recommended surgery. Multivariable logistic regression defined adjusted odds ratios of refusing treatment, with sociodemographic and clinical covariates. Treatment propensity-adjusted Cox proportional hazard ratios defined differential survival stratified by clinical stage, controlling for potential confounders.

RESULTS

Of 170,594 patients recommended surgery, 1116 refused. Increased rates of surgery refusal were associated with older age, African American race, CDCC>3, and female sex. Decreased rates of surgery refusal were associated with higher income and private insurance. Stratifying by stage, refusal rates among African Americans remained disparately high. Refusal of surgery was associated with worse overall survival.

CONCLUSIONS

Disparate rates of refusal of surgery for resectable colon cancer by race and other sociodemographic factors highlight potential treatment adherence reinforcement beneficiaries, necessitating further study of shared decision-making.

The effect of insurance status on overall survival among children and adolescents with cancer

Background

Differences in access, delivery and utilisation of health care may impact childhood and adolescent cancer survival. We evaluated whether insurance coverage impacts survival among US children and adolescents with cancer diagnoses, overall and by age group, and explored potential mechanisms.

Methods

Data from 58 421 children (aged ≤14 years) and adolescents (15–19 years), diagnosed with cancer from 2004 to 2010, were obtained from the National Cancer Database. We examined associations between insurance status at initial diagnosis or treatment and diagnosis stage; any treatment received; and mortality using logistic regression, Cox proportional hazards (PH) regression, restricted mean survival time (RMST) and mediation analyses.

Results

Relative to privately insured individuals, the hazard of death (all-cause) was increased and survival months were decreased in those with Medicaid [hazard ratio (HR) = 1.27, 95% confidence interval (CI): 1.22 to 1.33; and −1.73 months, 95% CI: −2.07 to −1.38] and no insurance (HR = 1.32, 95% CI: 1.20 to 1.46; and −2.13 months, 95% CI: −2.91 to −1.34). The HR for Medicaid vs. private insurance was larger (pinteraction &lt;0.001) in adolescents (HR = 1.52, 95% CI: 1.41 to 1.64) than children (HR = 1.16, 95% CI: 1.10 to 1.23). Despite statistical evidence of PH assumption violation, RMST results supported all interpretations. Earlier diagnosis for staged cancers in the Medicaid and uninsured populations accounted for an estimated 13% and 19% of the survival deficit, respectively, vs. the privately insured population. Any treatment received did not account for insurance-associated survival differences in children and adolescents with cancer.

Conclusions

Children and adolescents without private insurance had a higher risk of death and shorter survival within 5 years following cancer diagnosis. Additional research is needed to understand underlying mechanisms.

Disparities in Outcomes by Insurance Payer Groups for Patients Undergoing Anterior Cervical Discectomy and Fusion

STUDY DESIGN

Retrospective, observational study of clinical outcomes at a single institution.

OBJECTIVE

To compare postoperative complication and readmission rates of payer groups in a cohort of patients undergoing anterior cervical discectomy and fusion (ACDF).

SUMMARY OF BACKGROUND DATA

Studies examining associations between primary payer and outcomes in spine surgery have been equivocal.

METHODS

Patients at Mount Sinai having undergone ACDF from 2008 to 2016 were queried and assigned to one of five insurance categories: uninsured, managed care, commercial indemnity insurance, Medicare, and Medicaid, with patients in the commercial indemnity group serving as the reference cohort. Multivariable logistic regression equations for various outcomes with the exposure of payer were created, controlling for age, sex, American Society of Anesthesiology Physical Status Classification (ASA Class), the Elixhauser Comorbidity Index, and number of segments fused. A Bonferroni correction was utilized, such that alpha = 0.0125.

RESULTS

Two thousand three hundred eighty seven patients underwent ACDF during the time period. Both Medicare (P < 0.0001) and Medicaid (P < 0.0001) patients had higher comorbidity burdens than commercial patients when examining ASA Class. Managed care (2.86 vs. 2.72, P = 0.0009) and Medicare patients (2.99 vs. 2.72, P < 0.0001) had more segments fused on average than commercial patients. Medicaid patients had higher rates of prolonged extubation (odds ratio [OR]: 4.99; 95% confidence interval [CI]: 1.13-22.0; P = 0.007), and Medicare patients had higher rates of prolonged length of stay (LOS) (OR: 2.44, 95% CI: 1.13-5.27%, P = 0.004) than the commercial patients. Medicaid patients had higher rates of 30- (OR: 4.12; 95% CI: 1.43-11.93; P = 0.0009) and 90-day (OR: 3.28; 95% CI: 1.34-8.03; P = 0.0009) Emergency Department (ED) visits than the commercial patients, and managed care patients had higher rates of 30-day readmission (OR: 3.41; 95% CI: 1.00-11.57; P = 0.0123).

CONCLUSION

Medicare and Medicaid patients had higher rates of prolonged LOS and postoperative ED visits, respectively, compared with commercial patients.

LEVEL OF EVIDENCE

3.

Racial disparities after stoma construction in colorectal surgery

AIM

Racial disparities are under-recognized among patients undergoing colorectal surgery. The purpose of this study was to determine the complication rates and surgical outcomes stratified by race and ethnicity among patients undergoing colorectal surgery with intestinal stoma creation.

METHOD

The ACS NSQIP database from 2013 to 2016 was used. Colon, rectum and small bowel cases requiring intestinal stoma creation were selected. Both African-American and other groups of minority patients were compared with Caucasian patients using a complex multivariable analysis model. Primary outcomes of interest were complication rates, mortality and extended hospital length of stay.

RESULTS

The study included 38 088 admissions. After multivariable analysis, African-American patients still had a prolonged length of hospital stay and higher complication rates. Other minorities also had a prolonged length of hospital stay and higher complication rates.

CONCLUSIONS

Both African-American and other groups of minority patients requiring an ostomy suffer significantly higher postoperative complication rates and a prolonged hospital length of stay, even after comorbidity adjustment. Access to care, socioeconomic status and comorbid disease management are all important factors for minority patients who undergo colorectal surgery requiring intestinal stoma construction.

Is metastasectomy a worthy option?-the role of surgery in metastatic colon cancer to liver and lungs

Background

The role of surgery and metastasectomy is controversial in the treatment of stage IV colon cancer (CC). The aim of this study was to investigate the relationship between primary tumor resection (PTR) with metastasectomy and survival in patients diagnosed with metastatic CC.

Methods

The National Cancer Data Base (NCDB) was retrospectively queried for patients diagnosed with colon adenocarcinoma from 2004 to 2013. Patient demographics, clinical characteristics, and short-term outcomes were collected. Groups were generated based on if surgery was performed and, if so, was metastasectomy involved. Associations between groups were evaluated using Kruskal-Wallis and Pearson Chi-square tests. Overall survival (OS) was summarized using standard Kaplan-Meier methods. The association between surgical group and OS was evaluated using the log-rank test.

Results

Of 31,172 patients, 13,214 (42.4%) had surgery while 17,958 (57.6%) did not. Among these, 81.3% of patients had liver metastases only, while 18.7% of patients had both liver and lung metastases. Median OS was 15.1 months (95% CI: 14.8 to 15.5 months) for the entire cohort. However, median OS was significantly better for those who had surgery (either PTR alone or PTR with metastasectomy) compared to those who did not (21.8 vs. 7.5 months, P<0.001). Patients who received PTR with metastasectomy had worse median OS (20.5 vs. 21.8 months, P=0.035) compared to those who only received PTR (P=0.211).

Conclusions

PTR in select patients diagnosed with metastatic CC provides a remarkable improvement to survival rate. The role of metastasectomy remains controversial as no difference in survival outcomes exists between patients who received it and who did not.

Geographic and demographic features of neuroendocrine tumors in the United States of America: A population-based study

BACKGROUND

The incidence of neuroendocrine tumors (NETs) is rapidly rising. There are very few studies investigating the role of sociodemographic factors in NETs. This study was aimed at examining how geographic and sociodemographic characteristics shape outcomes in the NET population.

METHODS

A retrospective analysis using the Surveillance, Epidemiology, and End Results database was performed, and the NET patient population from 1973 to 2015 was studied. Univariate and multivariable analyses were performed to evaluate patients' disease-specific survival (DSS) and overall survival (OS). Geographic and sociodemographic factors, including the location of residence (urban area [UA] vs rural area [RA]), sex, race, insurance status, and marital status, were included in the analysis.

RESULTS

A total of 53,034 patients (5517 in RAs and 47,517 in UAs) were included in the analysis. The incidence of NETs was found to be rising in both RAs and UAs but more rapidly in RAs (with the highest incidence in 2006-2015: 5.93 per 100,000 in RAs vs 4.10 per 100,000 in UAs). Patients from RAs presented at advanced stages in comparison with patients from UAs (regional, 18% vs 16%; distant, 15% vs 13%; P < .01). In the multivariable model, RA patients had a trend toward poorer OS (hazard ratio, 1.05; P = .053) in comparison with UA patients. The multivariable analysis showed significantly worse DSS and OS for uninsured, single, and male patients in comparison with insured, married, and female patients, respectively.

CONCLUSIONS

This study has identified sociodemographic disparities in NET outcomes. Access to health care could be a potential contributing factor, although differences in environmental exposure, health behavior, and tumor biology could also be responsible.

Impact of Insurance Status on Stage, Treatment, and Survival in Patients with Colorectal Cancer: A Population-Based Analysis

BACKGROUND This study aimed to analyze data from the Surveillance, Epidemiology, and End Results (SEER) program to identify patients with colorectal cancer (CRC) who had specific insurance details and the effects of stage at diagnosis, definitive treatment, and survival outcome with insurance status. MATERIAL AND METHODS Between 2007 and 2009, SEER database analysis identified 54,232 patients with CRC. Logistic models examined the associations between insurance status and disease stage and definitive treatment. Kaplan-Meier analysis, the Cox model, and the Fine and Gray model were used to compare the tumor cause-specific survival (TCSS) for patients with different insurance status. RESULTS Insured patients were more likely to have earlier tumor stage at diagnosis when compared with patients receiving Medicaid (adjusted OR, 1.318; 95% CI, 1.249-1.391; P<0.001) and when compared with uninsured patients (adjusted OR, 1.479; 95% CI, 1.352-1.618; P<0.001). Insured patients were significantly more likely to undergo definitive treatment when compared with patients receiving Medicaid (adjusted OR, 0.591; 95% CI, 0.470-0.742; P<0.001) and compared with patients who were uninsured (adjusted OR, 0.404; 95% CI, 0.282-0.579; P<0.001). Insured patients had a significantly increased TCSS when compared with patients receiving Medicaid (HR, 1.298; 95% CI, 1.236-1.363; P<0.001) and compared with patients who were uninsured (HR 1.195, 95% CI, 1.100-1.297; P<0.001). CONCLUSIONS Insurance status was a significant factor that determined early diagnosis, definitive treatment, and clinical outcome and was an independent factor for TCSS in patients with CRC.