The role of racial segregation in treatment and outcomes among patients with hepatocellular carcinoma

Social Inequities in the Survival of Liver Cancer: A Nationwide Cohort Study in Korea, 2007-2017

BACKGROUND

To analyze the effects of socioeconomic status (type of insurance and income level) and cancer stage on the survival of patients with liver cancer in Korea.

METHODS

A retrospective cohort study was constructed using data from the Healthcare Big Data Platform project in Korea between January 1, 2007, and December 31, 2017. A total of 143,511 patients in Korea diagnosed with liver cancer (International Classification of Diseases, 10th Revision [ICD-10] codes C22, C220, and C221) were followed for an average of 11 years. Of these, 110,443 died. The patient's insurance type and income level were used as indicators of socioeconomic status. Unadjusted and adjusted hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated using a Cox proportional hazards regression model to analyze the relationship between the effects of sex, age, and cancer stage at first diagnosis (Surveillance, Epidemiology, and the End Results; SEER), type of insurance, and income level on the survival of patients with liver cancer. The interactive effects of the type of insurance, income level, and cancer stage on liver cancer death were also analyzed.

RESULTS

The lowest income group (medical aid) showed a higher risk for mortality (HR (95% CI); 1.37 (1.27-1.47) for all patients, 1.44 (1.32-1.57) for men, and 1.16 (1.01-1.34) for women) compared to the highest income group (1-6) among liver cancer (ICD-10 code C22) patients. The risk of liver cancer death was also higher in the lowest income group with a distant cancer stage (SEER = 7) diagnosis than for any other group.

CONCLUSION

Liver cancer patients with lower socioeconomic status and more severe cancer stages were at greater risk of death. Reducing social inequalities is needed to improve mortality rates among patients in lower social class groups who present with advanced cancer.

Association of race, demographic and socioeconomic factors with failure to rescue after hepato-pancreato-biliary surgery in the United States

BACKGROUND

We aimed to describe the association of patient-related factors such as race, socioeconomic status, and insurance on failure to rescue (FTR) after hepato-pancreato-biliary (HPB) surgeries.

METHODS

Using the National Inpatient Sample, we analyzed 98,788 elective HPB surgeries between 2004 and 2017. Major and minor complications were identified using ICD9/10 codes. We evaluated mortality rates and FTR (inpatient mortality after major complications). We used multivariate logistic regression analysis to assess racial, socioeconomic, and demographic factors on FTR, adjusting for covariates.

RESULTS

Overall, 43 % of patients (n = 42,256) had pancreatic operations, 36% (n = 35,526) had liver surgery, and 21% (n = 21,006) had biliary interventions. The overall major complication rate was 21% (n = 20,640), of which 8% (n = 1655) suffered FTR. Factors independently associated with increased risk for FTR were male sex, older age, higher Charlson Comorbidity Index, Hispanic ethnicity, Asian or other race, lower income quartile, Medicare insurance, and southern region hospitals.

CONCLUSIONS

Medicare insurance, male gender, Hispanic ethnicity, and lower income quartile were associated with increased risk for FTR. Efforts should be made to improve the identification and subsequent treatment of complications for those at high risk of FTR.

Opportunities, challenges, and future directions for simulation modeling the effects of structural racism on cancer mortality in the United States: a scoping review

PURPOSE

Structural racism could contribute to racial and ethnic disparities in cancer mortality via its broad effects on housing, economic opportunities, and health care. However, there has been limited focus on incorporating structural racism into simulation models designed to identify practice and policy strategies to support health equity. We reviewed studies evaluating structural racism and cancer mortality disparities to highlight opportunities, challenges, and future directions to capture this broad concept in simulation modeling research.

METHODS

We used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses-Scoping Review Extension guidelines. Articles published between 2018 and 2023 were searched including terms related to race, ethnicity, cancer-specific and all-cause mortality, and structural racism. We included studies evaluating the effects of structural racism on racial and ethnic disparities in cancer mortality in the United States.

RESULTS

A total of 8345 articles were identified, and 183 articles were included. Studies used different measures, data sources, and methods. For example, in 20 studies, racial residential segregation, one component of structural racism, was measured by indices of dissimilarity, concentration at the extremes, redlining, or isolation. Data sources included cancer registries, claims, or institutional data linked to area-level metrics from the US census or historical mortgage data. Segregation was associated with worse survival. Nine studies were location specific, and the segregation measures were developed for Black, Hispanic, and White residents.

CONCLUSIONS

A range of measures and data sources are available to capture the effects of structural racism. We provide a set of recommendations for best practices for modelers to consider when incorporating the effects of structural racism into simulation models.

Tools to Measure the Impact of Structural Racism and Discrimination on Gastrointestinal and Hepatology Disease Outcomes: A Scoping Review

BACKGROUND & AIMS

Structural racism and discrimination (SRD) are important upstream determinants of health perpetuated by discriminatory laws and policies. Therefore, measuring SRD and its impact on health is critical to developing interventions that address resultant health disparities. We aimed to identify gastrointestinal (GI) or liver studies that report measures of SRD or interventions to achieve health equity in these domains by addressing upstream determinants of health.

METHODS

We conducted a scoping review according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses scoping reviews guidelines. Studies that used an SRD measure or examined an upstream intervention in GI or liver disease were included. Studies that described health disparities in GI or liver conditions without mentioning SRD were excluded. Study characteristics, findings, and limitations were extracted.

RESULTS

Forty-six articles (19 studies using SRD measures and 27 studies of upstream interventions) were identified. Measures of residential racial segregation were reported most frequently. SRD was associated with poorer health outcomes for racial and ethnic minority populations. Although upstream intervention studies focused primarily on policies related to colon cancer screening and organ graft allocation, racial and ethnic disparities often persisted post-intervention.

CONCLUSIONS

To achieve health equity in GI and liver conditions, there is an urgent need for research that goes beyond describing health disparities to incorporating measures of SRD and implementing interventions that address this understudied determinant of health.

Disparities in Socioeconomic Factors Mediate the Impact of Racial Segregation Among Patients With Hepatopancreaticobiliary Cancer

BACKGROUND

Structural racism within the U.S. health care system contributes to disparities in oncologic care. This study sought to examine the socioeconomic factors that underlie the impact of racial segregation on hepatopancreaticobiliary (HPB) cancer inequities.

METHODS

Both Black and White patients who presented with HPB cancer were identified from the linked Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2005-2015) and 2010 Census data. The Index of Dissimilarity (IoD), a validated measure of segregation, was examined relative to cancer stage at diagnosis, surgical resection, and overall mortality. Principal component analysis and structural equation modeling were used to determine the mediating effect of socioeconomic factors.

RESULTS

Among 39,063 patients, 86.4 % (n = 33,749) were White and 13.6 % (n = 5314) were Black. Black patients were more likely to reside in segregated areas than White patients (IoD, 0.62 vs. 0.52; p < 0.05). Black patients in highly segregated areas were less likely to present with early-stage disease (relative risk [RR], 0.89; 95 % confidence interval [CI] 0.82-0.95) or undergo surgery for localized disease (RR, 0.81; 95% CI 0.70-0.91), and had greater mortality hazards (hazard ratio 1.12, 95% CI 1.06-1.17) than White patients in low segregation areas (all p < 0.05). Mediation analysis identified poverty, lack of insurance, education level, crowded living conditions, commute time, and supportive income as contributing to 25 % of the disparities in early-stage presentation. Average income, house price, and income mobility explained 17 % of the disparities in surgical resection. Notably, average income, house price, and income mobility mediated 59 % of the effect that racial segregation had on long-term survival.

CONCLUSION

Racial segregation, mediated through underlying socioeconomic factors, accounted for marked disparities in access to surgical care and outcomes for patients with HPB cancer.

Racial Segregation Among Patients with Cholangiocarcinoma-Impact on Diagnosis, Treatment, and Outcomes

BACKGROUND

Racial segregation, an effect of historical marginalization, may impact cancer care and outcomes. We sought to examine the impact of racial segregation on the diagnosis, treatment, and outcomes of patients with cholangiocarcinoma (CCA).

PATIENTS AND METHODS

Data on Black and White patients with CCA were obtained from the linked SEER-Medicare database (2004-2015) and 2010 Census data. The index of dissimilarity (IoD), a validated measure of segregation, was used to assess Black-White disparities in stage disease presentation, surgery for localized disease, and cancer-specific mortality. Multivariable Poisson regression was performed, and competing risk regression analysis was used to determine cancer-specific survival.

RESULTS

Among 7480 patients with CCA, 90.2% (n = 6748) were White and 9.8% (n = 732) were Black. Overall, Black patients were more likely to reside in segregated areas compared with White patients (IoD, 0.42 vs. 0.38; p < 0.05). On multivariable Poisson regression, Black patients were more likely to present with advanced-stage disease [relative risk (RR) 1.17, 95% confidence interval (CI) 1.08-1.27; p < 0.001] and were less likely to undergo surgery for localized disease (RR 0.62, 95% CI 0.51-0.76; p < 0.001). Black patients also had worse cancer-specific survival (CSS) compared with White patients (median CSS: 4 vs. 8 months; p < 0.01). Black patients living in the highest areas of segregation had 40% increased hazard of mortality versus White patients residing in the lowest IoD areas (hazard ratio 1.40, 95% CI 1.10-1.80; p < 0.01).

CONCLUSION

Racial segregation, as a proxy for structural racism, had a marked effect on Black-White disparities among patients with CCA.

The effect of social determinants of health on utilization of surgical treatment for hepatocellular carcinoma patients

BACKGROUND

A paucity of data exists on how social determinants of health (SDOH) influence treatment for Hepatocellular carcinoma (HCC). We investigated associations between SDOH (healthcare access, education, social/community context, economic stability, and built/neighborhood environment) and receipt of surgery.

METHODS

The Pennsylvania Liver Cancer Registry was linked with neighborhood SDOH from the American Community Survey. Multilevel logistic regression models with patient and neighborhood SDOH variables were developed.

RESULTS

Of 9423 HCC patients, 2393 were stage I. Only 36.3% of stage I patients received surgery. Black patients had significantly lower odds of surgery vs Whites (OR = 0.73; p < 0.01), but not after adjustments for SDOH. All 5 SDOH domains were associated with odds of surgery overall; 2 domains were associated in Stage I patients, social context (e.g., racial concentration, p = 0.03) and insurance access (p < 0.01).

CONCLUSIONS

SDOH impact utilization of surgery for HCC. Findings can guide healthcare professionals to create programs for populations at risk for poor liver cancer outcomes.

Indications, trends, and perioperative outcomes of minimally invasive and open liver surgery in non-obese and obese patients: An international multicentre propensity score matched retrospective cohort study of 9963 patients

BACKGROUND

Despite the worldwide increase of both obesity and the use of minimally invasive liver surgery (MILS), evidence regarding the safety and eventual benefits of MILS in obese patients is scarce. The aim of this study was therefore to compare the outcomes of non-obese and obese patients (BMI 18.5-29.9 and BMI≥30, respectively) undergoing MILS and OLS, and to assess trends in MILS use among obese patients.

METHODS

In this retrospective cohort study, patients operated at 20 hospitals in eight countries (2009-2019) were included and the characteristics and outcomes of non-obese and obese patients were compared. Thereafter, the outcomes of MILS and OLS were compared in both groups after propensity-score matching (PSM). Changes in the adoption of MILS during the study period were investigated.

RESULTS

Overall, 9963 patients were included (MILS: n = 4687; OLS: n = 5276). Compared to non-obese patients (n = 7986), obese patients(n = 1977) were more often comorbid, less often received preoperative chemotherapy or had a history of previous hepatectomy, had longer operation durations and more intraoperative blood loss (IOBL), paralleling significantly higher rates of wound- and respiratory-related complications. After PSM, MILS, compared to OLS, was associated, among both non-obese and obese patients, with less IOBL (200 ml vs 320 ml, 200 ml vs 400 ml, respectively), lower rates of transfusions (6.6% vs 12.8%, 4.7% vs 14.7%), complications (26.1% vs 35%, 24.9% vs 34%), bile leaks(4% vs 7%, 1.8% vs 4.9%), liver failure (0.7% vs 2.3%, 0.2% vs 2.1%), and a shorter length of stay(5 vs 7 and 4 vs 7 days). A cautious implementation of MILS over time in obese patients (42.1%-53%, p < .001) was paralleled by stable severe morbidity (p = .433) and mortality (p = .423) rates, despite an accompanying gradual increase in surgical complexity.

CONCLUSIONS

MILS is increasingly adopted and associated with perioperative benefits in both non-obese and obese patients.

Beyond insurance status: the impact of Medicaid expansion on the diagnosis of Hepatocellular Carcinoma

BACKGROUND

Medicaid expansion has led to earlier stage diagnoses in several cancers but has not been studied in hepatocellular carcinoma (HCC), a disease with complex risk factors. We examined the effect of Medicaid expansion on the diagnosis of HCC and associations with county-level social vulnerability.

METHODS

Patients with HCC <65 years of age were identified from the SEER database (2010-2016). County-level social vulnerability factors were obtained from the CDC SVI and BRFSS. A Difference-in-Difference analysis evaluated change in early-stage diagnoses (stage I-II) between expansion and non-expansion states. A Difference-in-Difference-in-Difference analysis evaluated expansion impact among counties with higher proportions of social vulnerability.

RESULTS

Of 19,751 patients identified, 81.5% were in expansion states. Uninsured status decreased in expansion states (6.3%-2.4%, p < 0.0001) and remained unchanged in non-expansion states (12.7%-14.8%, p = 0.43). There was no significant difference in the incidence of early-stage diagnoses between expansion states and non-expansion states. Results were consistent when accounting for social vulnerability.

CONCLUSION

Medicaid expansion was not associated with earlier stage diagnoses in patients with HCC, including those with higher social vulnerability. Unlike other cancers, expanded access did not translate into higher utilization of care in HCC, suggesting barriers on a multitude of levels.

A Rising Tide Lifts All Boats: Impact of Combined Volume of Complex Cancer Operations on Surgical Outcomes in a Low-Volume Setting

BACKGROUND

Centralization for complex cancer surgery may not always be feasible owing to socioeconomic disparities, geographic constraints, or patient preference. The present study investigates how the combined volume of complex cancer operations impacts postoperative outcomes at hospitals that are low-volume for a specific high-risk cancer operation.

STUDY DESIGN

Patients who underwent pneumonectomy, esophagectomy, gastrectomy, hepatectomy, pancreatectomy, or proctectomy were identified from the National Cancer Database (2004-2017). For every operation, 3 separate cohorts were created: low-volume hospitals (LVH) for both the individual cancer operation and the total number of those complex operations, mixed-volume hospital (MVH) with low volume for the individual cancer operation but high volume for total number of complex operations, and high-volume hospitals (HVH) for each specific operation.

RESULTS

LVH was significantly (all p ≤ 0.01) predictive for 30-day mortality compared with HVH across all operations: pneumonectomy (9.5% vs 7.9%), esophagectomy (5.6% vs 3.2%), gastrectomy (6.8% vs 3.6%), hepatectomy (5.9% vs 3.2%), pancreatectomy (4.7% vs 2.3%), and proctectomy (2.4% vs 1.3%). Patients who underwent surgery at MVH and HVH demonstrated similar 30-day mortality: esophagectomy (3.2 vs 3.2%; p = 0.993), gastrectomy (3.2% vs 3.6%; p = 0.637), hepatectomy (3.8% vs 3.2%; p = 0.233), pancreatectomy (2.8% vs 2.3%; p = 0.293), and proctectomy (1.2% vs 1.3%; p = 0.843). Patients who underwent pneumonectomy at MVH demonstrated lower 30-day mortality compared with HVH (5.4% vs 7.9%; p = 0.045).

CONCLUSION

Patients who underwent complex operations at MVH had similar postoperative outcomes to those at HVH. MVH provide a model for the centralization of complex cancer surgery for patients who do not receive their care at HVH.

Redlining, structural racism, and lung cancer screening disparities

OBJECTIVE

The objective of this study was to understand the effect of historical redlining (preclusion from home loans and wealth-building for Black Americans) and its downstream factors on the completion of lung cancer screening in Boston.

METHODS

Patients within our institution were identified as eligible for lung cancer screening on the basis of the United State Preventive Service Task Force criteria and patient charts were reviewed to determine if patients completed low-dose computed tomography screening. Individual addresses were geocoded and overlayed with original 1930 Home Owner Loan Corporation redlining vector files. Structural equation models were used to estimate the odds of screening for Black and White patients, interacted with sex, in redlined and nonredlined areas.

RESULTS

Black patients had a 44% lower odds of screening compared with White (odds ratio [OR], 0.66; 95% CI, 0.52-0.85). With race as a mediator, Black patients in redlined areas were 61% less likely to undergo screening than White patients (OR, 0.39; 95% CI, 0.24-0.64). Similarly, in redlined areas Black women had 61% (OR, 0.39; 95% CI, 0.21-0.73) and Black men 47% (OR, 0.53; 95% CI, 0.29-0.98) lower odds of screening compared with White men in redlined areas.

CONCLUSIONS

Despite higher rates of lung cancer screening in redlined areas, Black race mediated worse screening rates in these areas, suggesting racist structural factors contributing to the disparities in lung cancer screening completion among Black and White patients. Furthermore, these disparities were more apparent in Black women, suggesting that racial and gender intersectional discrimination are important in lung cancer screening completion.

A novel risk score system for prognostic evaluation in adenocarcinoma of the oesophagogastric junction: a large population study from the SEER database and our center

Background

The incidence rate of adenocarcinoma of the oesophagogastric junction (AEG) has significantly increased over the past decades, with a steady increase in morbidity. The aim of this study was to explore a variety of clinical factors to judge the survival outcomes of AEG patients.

Methods

We first obtained the clinical data of AEG patients from the Surveillance, Epidemiology, and End Results Program (SEER) database. Univariate and least absolute shrinkage and selection operator (LASSO) regression models were used to build a risk score system. Patient survival was analysed using the Kaplan-Meier method and the log-rank test. The specificity and sensitivity of the risk score were determined by receiver operating characteristic (ROC) curves. Finally, the internal validation set from the SEER database and external validation sets from our center were used to validate the prognostic power of this model.

Results

We identified a risk score system consisting of six clinical features that can be a good predictor of AEG patient survival. Patients with high risk scores had a significantly worse prognosis than those with low risk scores (log-rank test, P-value < 0.0001). Furthermore, the areas under ROC for 3-year and 5-year survival were 0.74 and 0.75, respectively. We also found that the benefits of chemotherapy and radiotherapy were limited to stage III/IV AEG patients in the high-risk group. Using the validation sets, our novel risk score system was proven to have strong prognostic value for AEG patients.

Conclusions

Our results may provide new insights into the prognostic evaluation of AEG.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12885-021-08558-1.

Patient Social Vulnerability and Hospital Community Racial/Ethnic Integration: Do All Patients Undergoing Pancreatectomy Receive the Same Care Across Hospitals?

OBJECTIVE

The objective of the current study was to characterize the role of patient social vulnerability relative to hospital racial/ethnic integration on postoperative outcomes among patients undergoing pancreatectomy.

BACKGROUND

The interplay between patient- and community-level factors on outcomes after complex surgery has not been well-examined.

METHODS

Medicare beneficiaries who underwent a pancreatectomy between 2013 and 2017 were identified utilizing 100% Medicare inpatient files. P-SVI was determined using the Centers for Disease Control and Prevention criteria, whereas H-REI was estimated using Shannon Diversity Index. Impact of P-SVI and H-REI on "TO" [ie, no surgical complication/extended length-of-stay (LOS)/90-day mortality/90-day readmission] was assessed.

RESULTS

Among 24,500 beneficiaries who underwent pancreatectomy, 12,890 (52.6%) were male and median age was 72 years (Interquartile range: 68-77); 10,619 (43.3%) patients achieved a TO. The most common adverse postoperative outcome was 90-day readmission (n = 8,066, 32.9%), whereas the least common was 90-day mortality (n = 2282, 9.3%). Complications and extended LOS occurred in 30.4% (n = 7450) and 23.3% (n = 5699) of the cohort, respectively. Patients from an above average SVI county who underwent surgery at a below average REI hospital had 18% lower odds [95% confidence interval (CI): 0.74-0.95] of achieving a TO compared with patients from a below average SVI county who underwent surgery at a hospital with above average REI. Of note, patients from the highest SVI areas who underwent pancreatectomy at hospitals with the lowest REI had 30% lower odds (95% CI: 0.54-0.91) of achieving a TO compared with patients from very low SVI areas who underwent surgery at a hospital with high REI. Further comparisons of these 2 patient groups indicated 76% increased odds of 90-day mortality (95% CI: 1.10-2.82) and 50% increased odds of an extended LOS (95% CI: 1.07-2.11).

CONCLUSION

Patients with high social vulnerability who underwent pancreatectomy in hospitals located in communities with low racial/ethnic integration had the lowest chance to achieve an "optimal" TO. A focus on both patient- and community-level factors is needed to ensure optimal and equitable patient outcomes.