Racial disparities in supportive medication use among older patients with brain metastases: a population-based analysis

Incidence of brain metastasis according to patient race and primary cancer origin: a systematic review

PURPOSE

A systematic review was conducted to investigate differences in incidence and primary origin of synchronous brain metastasis (sBM) in varying racial groups with different primary cancers.

METHODS

Adhering to PRISMA 2020 guidelines a search was conducted using PubMed and Ovid databases for publications from January 2000 to January 2023, with search terms including combinations of "brain metastasis," "race," "ethnicity," and "incidence." Three independent reviewers screened for inclusion criteria encompassing studies clearly reporting primary cancer sites, patient demographics including race, and synchronous BM (sBM) incidence.

RESULTS

Of 806 articles, 10 studies comprised of mainly adult patients from the United States met final inclusion for data analysis. Higher sBM incidence proportions were observed in American Indian/Alaska native patients for primary breast (p < 0.001), colorectal (p = 0.015), and esophageal cancers (p = 0.024) as well as in Asian or Pacific islanders for primary stomach (p < 0.001), thyroid (p = 0.006), and lung/bronchus cancers (p < 0.001) yet higher proportions in White patients for malignant melanoma (p < 0.001). Compared to White patients, Black patients had higher sBM incidence likelihood in breast cancer (OR = 1.27, p = 0.01) but lower likelihood in renal (OR = 0.46, p < 0.001) and esophageal cancers (OR = 0.31, p = 0.005). American Indian/Alaska native patients had a higher sBM likelihood (OR = 3.78, p = 0.004) relative to White patients in esophageal cancer.

CONCLUSIONS

These findings reveal several comparative racial differences in sBM incidence arising from different primary cancer origins, underscoring a need for further research to explain these variations. Identifying the factors contributing to these disparities holds the potential to promote greater equity in oncological care according to cancer type.

Enhancing neuro-oncology care through equity-driven applications of artificial intelligence

The disease course and clinical outcome for brain tumor patients depend not only on the molecular and histological features of the tumor but also on the patient's demographics and social determinants of health. While current investigations in neuro-oncology have broadly utilized artificial intelligence (AI) to enrich tumor diagnosis and more accurately predict treatment response, postoperative complications, and survival, equity-driven applications of AI have been limited. However, AI applications to advance health equity in the broader medical field have the potential to serve as practical blueprints to address known disparities in neuro-oncologic care. In this consensus review, we will describe current applications of AI in neuro-oncology, postulate viable AI solutions for the most pressing inequities in neuro-oncology based on broader literature, propose a framework for the effective integration of equity into AI-based neuro-oncology research, and close with the limitations of AI.

Racial Disparity in Length of Stay Following Implementation of a Bariatric Enhanced Recovery Program

INTRODUCTION

Enhanced Recovery Programs (ERPs) mitigate racial disparities in postoperative length of stay (LOS) for colorectal populations. It is unclear, however, if these effects exist in the bariatric surgery population. Therefore, this study aimed to evaluate the racial disparities in LOS before and after implementation of bariatric surgery ERP.

METHODS

A retrospective cohort study was performed using data from a single institution. Patients undergoing minimally invasive sleeve gastrectomy or Roux-en-Y gastric bypass from 2017 to 2019 (pre-ERP) or 2020-2022 (ERP) were included. Chi-square, Kruskal-Wallis, and analysis of variance were used to compare groups, and estimated LOS (eLOS) was assessed via multivariable regression.

RESULTS

Seven hundred sixty four patients were identified, including 363 pre-ERPs and 401 ERPs. Pre-ERP and ERP cohorts were similar in age (median 44.3 years versus 43.8 years, P = 0.80), race (53.4% Black versus 56.4% Black, P = 0.42), and preoperative body mass index (median 48.3 versus 49.4, P = 0.14). Overall median LOS following bariatric surgery decreased from 2 days pre-ERP to 1 day following ERP (P < 0.001). Average LOS for Black and White patients decreased by 0.5 and 0.48 days, respectively. However, overall eLOS remained greater for Black patients compared with White patients despite ERP implementation (eLOS 0.21 days, P = 0.01).

CONCLUSIONS

Implementation of a bariatric surgery ERP was associated with decreased LOS for both Black and White patients. However, Black patients did have slightly longer LOS than White patients in both pre-ERP and ERP eras. More work is needed to understand the driving mechanism(s) of these disparities to eliminate them.

A scoping review of racial, ethnic, socioeconomic, and geographic disparities in the outcomes of older adults with cancer

INTRODUCTION

Cancer health disparities are widespread. Nevertheless, the disparities in outcomes among diverse survivors of cancer ages 65 years and older ("older") have not been systematically evaluated.

METHODS

We conducted a scoping review of original research articles published between January 2016 and September 2023 and indexed in Medline (Ovid), Embase, Scopus, and CINAHL databases. We included studies evaluating racial, ethnic, socioeconomic disadvantaged, geographic, sexual and gender, and/or persons with disabilities disparities in treatment, survivorship, and mortality among older survivors of cancer. We excluded studies with no a priori aims related to a health disparity, review articles, conference proceedings, meeting abstracts, studies with unclear methodologies, and articles in which the disparity group was examined only as an analytic covariate. Two reviewers independently extracted data following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis reporting guidelines.

RESULTS

After searching and removing duplicates, 2573 unique citations remained and after screening 59 articles met the inclusion criteria. Many investigated more than one health disparity, and most focused on racial and ethnic (n = 44) or socioeconomic (n = 25) disparities; only 10 studies described geographic disparities, and none evaluated disparities in persons with disabilities or due to sexual and gender identity. Research investigating disparities in outcomes among diverse older survivors of cancer is increasing gradually-68% of eligible articles were published between 2020 and 2023. Most studies focused on the treatment phase of care (n = 28) and mortality (n = 26), with 16 examined disparities in survivorship, symptoms, or quality of life. Most research was descriptive and lacked analyses of potential underlying mechanisms contributing to the reported disparities.

CONCLUSION

Little research has evaluated the effect of strategies to reduce health disparities among older patients with cancer. This lack of evidence perpetuates cancer inequities and leaves the cancer care system ill equipped to address the unique needs of the rapidly growing and increasingly diverse older adult cancer population.

Inherent Bias in Electronic Health Records: A Scoping Review of Sources of Bias

Objectives

1.1Biases inherent in electronic health records (EHRs), and therefore in medical artificial intelligence (AI) models may significantly exacerbate health inequities and challenge the adoption of ethical and responsible AI in healthcare. Biases arise from multiple sources, some of which are not as documented in the literature. Biases are encoded in how the data has been collected and labeled, by implicit and unconscious biases of clinicians, or by the tools used for data processing. These biases and their encoding in healthcare records undermine the reliability of such data and bias clinical judgments and medical outcomes. Moreover, when healthcare records are used to build data-driven solutions, the biases are further exacerbated, resulting in systems that perpetuate biases and induce healthcare disparities. This literature scoping review aims to categorize the main sources of biases inherent in EHRs.

Methods

1.2We queried PubMed and Web of Science on January 19th, 2023, for peer-reviewed sources in English, published between 2016 and 2023, using the PRISMA approach to stepwise scoping of the literature. To select the papers that empirically analyze bias in EHR, from the initial yield of 430 papers, 27 duplicates were removed, and 403 studies were screened for eligibility. 196 articles were removed after the title and abstract screening, and 96 articles were excluded after the full-text review resulting in a final selection of 116 articles.

Results

1.3Systematic categorizations of diverse sources of bias are scarce in the literature, while the effects of separate studies are often convoluted and methodologically contestable. Our categorization of published empirical evidence identified the six main sources of bias: a) bias arising from past clinical trials; b) data-related biases arising from missing, incomplete information or poor labeling of data; human-related bias induced by c) implicit clinician bias, d) referral and admission bias; e) diagnosis or risk disparities bias and finally, (f) biases in machinery and algorithms.

Conclusions

1.4Machine learning and data-driven solutions can potentially transform healthcare delivery, but not without limitations. The core inputs in the systems (data and human factors) currently contain several sources of bias that are poorly documented and analyzed for remedies. The current evidence heavily focuses on data-related biases, while other sources are less often analyzed or anecdotal. However, these different sources of biases add to one another exponentially. Therefore, to understand the issues holistically we need to explore these diverse sources of bias. While racial biases in EHR have been often documented, other sources of biases have been less frequently investigated and documented (e.g. gender-related biases, sexual orientation discrimination, socially induced biases, and implicit, often unconscious, human-related cognitive biases). Moreover, some existing studies lack causal evidence, illustrating the different prevalences of disease across groups, which does not per se prove the causality. Our review shows that data-, human- and machine biases are prevalent in healthcare and they significantly impact healthcare outcomes and judgments and exacerbate disparities and differential treatment. Understanding how diverse biases affect AI systems and recommendations is critical. We suggest that researchers and medical personnel should develop safeguards and adopt data-driven solutions with a "bias-in-mind" approach. More empirical evidence is needed to tease out the effects of different sources of bias on health outcomes.

Defining interventions and metrics to improve diversity in CNS clinical trial participation: A SNO and RANO effort

Despite major strides in cancer research and therapy, these advances have not been equitable across race and ethnicity. Historically marginalized groups (HMG) are more likely to have inadequate preventive screening, increased delays in diagnosis, and poor representation in clinical trials. Notably, Black, Hispanic, and Indigenous people represent 30% of the population but only 9% of oncology clinical trial participants. As a result, HMGs lack equitable access to novel therapies, contradicting the principle of distributive justice, as enshrined in the Belmont report, which demands the equitable selection of subjects in research involving human subjects. The lack of clinical trial diversity also leads to low generalizability and potentially harmful medical practices. Specifically, patients with brain cancer face unique barriers to clinical trial enrollment and completion due to disease-specific neurologic and treatment-induced conditions. Collectively, the intersection of these disease-specific conditions with social determinants of health fosters a lack of diversity in clinical trials. To ameliorate this disparity in neuro-oncology clinical trial participation, we present interventions focused on improving engagement of HMGs. Proposals range from inclusive trial design, decreasing barriers to care, expanding trial eligibility, access to tumor profiling for personalized medical trials, setting reasonable metrics and goals for accrual, working with patient community stakeholders, diversifying the neuro-oncology workforce, and development of tools to overcome biases with options to incentivize equity. The diversification of participation amongst neuro-oncology clinical trials is imperative. Equitable access and inclusion of HMG patients with brain tumors will not only enhance research discoveries but will also improve patient care.

Unraveling Racial Disparities in Supportive Care Medication Use among End-of-Life Pancreatic Cancer Patients: Focus on Pain Management and Psychiatric Therapies

BACKGROUND

Supportive care medication use differences may contribute to racial disparities observed in health-related quality of life in patients with pancreatic cancer.

METHODS

In this observation study using the Surveillance, Epidemiology, and End Results-Medicare linked database, we sought to examine supportive care medication use disparities in patients with pancreatic cancer from 2005 to 2017 by race and ethnicity.

RESULTS

Among 74,309 patients included in the final analysis, racial and ethnic disparities in the use of supportive care medications were identified. After adjustment for confounding factors and compared with non-Hispanic Whites, minorities had significantly less use of opioids [Black: adjusted OR (aOR), 0.84; 95% confidence interval (CI), 0.79-0.88; Asian: aOR, 0.84; 95% CI, 0.79-0.90), and skeletomuscular relaxants (Black: aOR, 0.90; 95% CI, 0.82-0.99; Hispanic: aOR, 0.82; 95% CI, 0.74-0.91; Asian: aOR, 0.59; 95% CI, 0.51-0.68), and increased use of non-opioid analgesics (Hispanic: aOR, 1.16; 95% CI, 1.01-1.14; Asian: aOR, 1.37; 95% CI, 1.26-1.49). Racial and ethnic minorities had less use of antidepressants (Black: aOR, 0.56; 95% CI, 0.53-0.59; Hispanic: aOR, 0.77; 95% CI, 0.73-0.82; Asian: aOR, 0.47; 95% CI, 0.44-0.51), anxiolytics (Black: aOR, 0.78; 95% CI, 0.74-0.82; Hispanic: aOR, 0.66; 95% CI, 0.62-0.71; Asian: aOR, 0.52; 95% CI, 0.48-0.57), and antipsychotics (Hispanic: aOR, 0.90; 95% CI, 0.82-0.99; Asian: aOR, 0.84; 95% CI, 0.74-0.95).

CONCLUSIONS

Racial and ethnic disparities in the use of supportive care medications among patients with pancreatic cancer were observed, with the differences unexplained by sociodemographic factors.

IMPACT

Future studies should identify strategies to promote equitable use of supportive care medications among racial minorities and explore factors that may influence their use in these populations.

Disparities in Neuro-Oncology

PURPOSEOF REVIEW

Health disparities are preventable differences in the diagnosis, treatment, and outcomes of many diseases, including central nervous system (CNS) tumors. This review will summarize and compile the existing literature on health disparities in neuro-oncology and provide directions for future research and interventions.

RECENT FINDINGS

Patients from historically marginalized groups are more likely to receive inadequate treatment, develop complications, and experience a shorter life expectancy. Financial toxicity can be particularly severe for patients with CNS tumors due to the high costs of treatment. Additionally, CNS clinical trials and research lack diverse representation.

Palliative Care Use in Advanced Cancer in the Garden State

BACKGROUND

Cancer is the second leading cause of death in the United States. Patients with metastatic cancer have a high symptom burden. Major global and domestic cancer care recommendations advise integration of palliative care services for these patients. Palliative care is specialized care that can decrease cost, improve symptom burden, and improve quality of life. Patient factors driving the use of palliative care remain poorly understood but may include both physiological and psychological needs, namely, pain and depression, respectively.

OBJECTIVE

The objective of this study was to identify patient-level predictors associated with inpatient palliative care use in patients with metastatic cancer.

METHODS

This was a secondary analysis of the 2018 New Jersey State Inpatient Database. The sample was limited to hospitalized adults with metastatic cancer in New Jersey. Descriptive statistics characterized the sample. Generalized linear modeling estimated the effects of pain and depression on the use of inpatient palliative care.

RESULTS

The sample included 28 697 hospitalizations for patients with metastatic cancer. Within the sample, 4429 (15.4%) included a palliative care consultation. There was a 9.3% documented occurrence of pain and a 10.9% rate of depression. Pain contributed to palliative care use, but depression was not predictive of an inpatient care consultation. Age, income category, and insurance status were significant factors influencing use.

CONCLUSION

Understanding demographic and clinical variables relative to palliative care use may help facilitate access to palliative care for adults experiencing metastatic cancer.

IMPLICATION FOR PRACTICE

Increased screening for pain and depression may expand palliative care use for adults with metastatic cancer receiving inpatient care.

Palliative Medicine Referral and End-of-Life Interventions Among Racial and Ethnic Minority Patients With Advanced or Recurrent Gynecologic Cancer

BACKGROUND

Referral to palliative medicine (PM) has been shown to improve quality of life, reduce hospitalizations, and improve survival. Limited data exist about PM utilization among racial minorities with gynecologic malignancies. Our objective was to assess differences in palliative medicine referrals and end of life interventions (within the last 30 days of life) by race and ethnicity in a diverse population of gynecologic oncology patients.

METHODS

A retrospective cohort study of patients receiving gynecologic oncologic care at a tertiary referral center between 2017 - 2019 was conducted. Patients had either metastatic disease at the time of diagnosis or recurrence. Demographic and clinical data were abstracted. Exploratory analyses were done using chi-square and rank sum tests. Tests were two-sided with significance set at P < .05.

RESULTS

A total of 186 patients were included. Of those, 82 (44.1%) were referred to palliative medicine. Underrepresented minorities accounted for 47.3% of patients. English was identified as the primary language for 69.9% of the patients and Spanish in 24.2%. Over 90% of patients had insurance coverage. Ovarian cancer (37.6%) and uterine cancer (32.8%) were the most common sites of origin. Most patients (75%) had advanced stage at the time of diagnosis. Race and language spoken were not associated with referral to PM. Black patients were more likely to have been prescribed appetite stimulants compared to White patients (41% vs 24%, P = .038). Black patients also had a higher number of emergency department visits compared to White patients during the study timeframe. Chemotherapy in the last 30 days of life was also more likely to be given to Black patients compared to White (P = .019).

CONCLUSIONS

Race was associated with variation in interventions and healthcare utilization near end-of-life. Understanding the etiologies of these differences is crucial to inform interventions for care optimization as it relates specifically to the health of minority patients.

Brain parenchymal and leptomeningeal metastasis in non-small cell lung cancer

Patients with advanced non-small cell lung cancer (NSCLC) are prone to brain metastases (BM), which essentially include brain parenchymal metastases (PM) and leptomeningeal metastases (LM). We conducted a retrospective study to comprehensively assess the clinical characteristics and risk factors of patients with advanced NSCLC who develop PM and LM. Patients with advanced NSCLC were enrolled. These patients were then divided into three groups for analysis: patients without BM (No-BM), patients with PM and patients with LM. Data on clinical characteristics of each patient at the time of diagnosis advanced NSCLC were extracted and analyzed. In addition, prediction models were developed and evaluated for PM and LM. A total of 592 patients were enrolled in the study. BM was present in 287 patients (48.5%). Among them, 185 and 102 patients had PM or LM. Patients with LM had a higher proportion of EGFR exon 21point mutations (L858R) compared to patients with No-BM and PM (p < 0.0001). The median time to the onset of PM and LM from the diagnosis of advanced NSCLC was 0 months and 8.3 months, respectively. Patients with LM had a statistically shorter over survival (OS) compared to either No-BM or PM patients (p < 0.0001). Based on independent predictive variables, two nomogram models were constructed to predict the development of PM and LM in advanced NSCLC patients, and the C-indexes were 0.656 and 0.767, respectively. Although both considered as BM, PM and LM had different clinical characteristics. And the nomogram showed good performance in predicting LM development, but not PM.

Pain among older adults with gastrointestinal malignancies- results from the cancer and aging resilience evaluation (CARE) Registry

PURPOSE

The impact of pain on functional status and mental health among older adults with cancer is a relevant, yet understudied. We sought to identify the prevalence of pain at diagnosis in older adults with gastrointestinal (GI) malignancies and evaluate the association of pain with functional status limitations, cognition, and mental health.

METHODS

This prospective cross-sectional study included older adults (age ≥ 60) with GI cancers enrolled in the CARE Registry. Pain measured in numeric rating scale from 0 to 10. We utilized the literature based cutoff for moderate-severe as ≥ 4. Logistic regression used to assess differences in functional status, falls, cognitive complaints, and depression/anxiety associated with moderate/severe pain, adjusted for sex, race, education, ethnicity, marital status, cancer type/stage, and treatment phase.

RESULTS

Our cohort included 714 older adults with an average mean age of 70 years and 59% male. Common diagnoses included colorectal (27.9%) and pancreatic (18%). A total of 43.3% reported moderate/severe pain. After multivariate adjusting for covariates, participants with self-reported moderate/severe pain were more likely to report limitations in instrumental activities of daily living (adjusted odds ratio [aOR] 4.3 95% confidence interval [CI] 3.1-6.1, p < .001), limitation in activities of daily living (aOR 3.2 95% CI 2.0-5.1, p < .001), cognitive complaints (aOR 2.9 95% CI 1.4-6.0, p < .004), anxiety (aOR 2.2 95% CI 1.4-3.4, p < 0.01), and depression (aOR 3.7 95% CI 2.2-6.5, p < .001).

CONCLUSIONS

Pain is common among older adults with GI cancers and is associated with functional status limitations, cognitive complaints, and depression/anxiety. Strategies to reduce pain and minimize its potential impact on function and mental health warrant future research.

A Scoping Review on the Relationship between Race/Ethnicity and the Receipt of Supportive Care Medications during Cancer Treatment: Implications for the Clinical Pharmacist

There is surmounting levels of evidence on the health disparities within cancer treatment in the United States (US). Most of the research focused on cancer specific factors including anticancer incidence, screening, treatment and follow-up, and clinical outcomes such as overall survival (OS). Less is known about the disparities present with supportive care medication use in cancer patients. Supportive care utilization during cancer treatment has been linked to improved quality of life (QoL) and OS among patients. The goal of this scoping review is to summarize findings of current literature on the relationship between race and ethnicity and the receipt of supportive care medications during cancer treatment for pain and chemotherapy-induced nausea and vomiting (CINV). This scoping review was conducted following the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA-ScR) guidelines. Our literature search included quantitative studies, qualitative studies, and grey literature written in the English language with clinically relevant outcomes pertaining to pain and CINV management in cancer treatment published from 2001-2021. Articles that met the predefined inclusion criteria were considered for inclusion in the analysis. The initial search yielded 308 studies. Following de-duplication and screening, 14 studies met the predefined inclusion criteria, with majority of the studies being quantitative studies (n=13). Collectively, results were mixed results regarding the presence of racial disparities for supportive care medication use. Half of the studies (n=7) supported this finding whereas, the other half (n=7) did not identify any racial disparities. In our review, multiple studies illustrate the existence of disparities in the use of supportive care medications in some cancer types. Clinical pharmacists should strive to eliminate supportive medication use disparities as part of a multidisciplinary team. In order to develop strategies to prevent supportive care medication use disparities in this population, further research and analysis of external factors that influence them are needed.

Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients

OBJECTIVE

Lack of access to supportive care (SC) among cancer patients have been well documented. However, the role of affordability in this disparity among ovarian cancer (OC) patients remain poorly understood.

METHODS

Patients with OC between 2008 and 2015 were identified from the SEER-Medicare dataset. Racial disparities in utilization of SC medications within the six months of OC diagnosis among patients with Medicare Part D coverage was examined. Multivariable log-binomial regression models were used to examine the associations of race, affordability and SC medications after adjusting for clinical covariates among all patients and separately among patients with advanced-stage disease.

RESULTS

The study cohort included 3697 patients: 86% non-Hispanic White (NHW), 6% non-Hispanic Black (NHB), and 8% Hispanic. In adjusted models, NHB and Hispanic patients were less likely to receive antidepressants compared to NHW patients (NHB: aOR 0.46; 95% CI 0.33-0.63 and Hispanic: aOR 0.79; 95% CI 0.63-0.99). This association persisted for NHB patients with advanced-stage disease (aOR 0.42; 95% CI 0.28-0.62). Patients dual enrolled in Medicaid were more likely to receive antidepressants (overall: aOR 1.34; 95% CI 1.17-1.53 and advanced-stage: aOR 1.29; 95% CI 1.10-1.52). However, patients residing in areas with higher vs. lower proportions of lower educated adults (overall: aOR 0.82; 95% CI 0.70-0.97 and advanced-stage: aOR 0.82; 95% CI 0.68-0.99) were less likely to receive antidepressants.

CONCLUSION

Black OC patients and those living in lower educated areas were less likely to receive antidepressants as SC. Given the importance of post-primary treatment quality of life for cancer patients, interventions are needed to enhance equitable access to SC.

Impact of Tumour Segmentation Accuracy on Efficacy of Quantitative MRI Biomarkers of Radiotherapy Outcome in Brain Metastasis

Simple Summary

Radiotherapy is a major treatment option for patients with brain metastasis. However, response to radiotherapy is highly varied among the patients, and it may take months before the response of brain metastasis to radiotherapy is apparent on standard follow-up imaging. This is not desirable, especially given the fact that patients diagnosed with brain metastasis suffer from a short median survival. Recent studies have shown the high potential of machine learning methods for analyzing quantitative imaging features (biomarkers) to predict the response of brain metastasis before or early after radiotherapy. However, these methods require manual delineation of individual tumours on imaging that is tedious and time-consuming, hindering further development and widespread application of these techniques. Here, we investigated the impact of using less accurate but automatically generated tumour outlines on the efficacy of the derived imaging biomarkers for radiotherapy response prediction. Our findings demonstrate that while the effect of tumour delineation accuracy is considerable for automatic contours with low accuracy, imaging biomarkers and prediction models are rather robust to imperfections in the produced tumour masks. The results of this study open the avenue to utilizing automatically generated tumour contours for discovering imaging biomarkers without sacrificing their accuracy.

Abstract

Significantly affecting patients’ clinical course and quality of life, a growing number of cancer cases are diagnosed with brain metastasis (BM) annually. Stereotactic radiotherapy is now a major treatment option for patients with BM. However, it may take months before the local response of BM to stereotactic radiation treatment is apparent on standard follow-up imaging. While machine learning in conjunction with radiomics has shown great promise in predicting the local response of BM before or early after radiotherapy, further development and widespread application of such techniques has been hindered by their dependency on manual tumour delineation. In this study, we explored the impact of using less-accurate automatically generated segmentation masks on the efficacy of radiomic features for radiotherapy outcome prediction in BM. The findings of this study demonstrate that while the effect of tumour delineation accuracy is substantial for segmentation models with lower dice scores (dice score ≤ 0.85), radiomic features and prediction models are rather resilient to imperfections in the produced tumour masks. Specifically, the selected radiomic features (six shared features out of seven) and performance of the prediction model (accuracy of 80% versus 80%, AUC of 0.81 versus 0.78) were fairly similar for the ground-truth and automatically generated segmentation masks, with dice scores close to 0.90. The positive outcome of this work paves the way for adopting high-throughput automatically generated tumour masks for discovering diagnostic and prognostic imaging biomarkers in BM without sacrificing accuracy.

Brain metastases: A Society for Neuro-Oncology (SNO) consensus review on current management and future directions

Brain metastases occur commonly in patients with advanced solid malignancies. Yet, less is known about brain metastases than cancer-related entities of similar incidence. Advances in oncologic care have heightened the importance of intracranial management. Here, in this consensus review supported by the Society for Neuro-Oncology (SNO), we review the landscape of brain metastases with particular attention to management approaches and ongoing efforts with potential to shape future paradigms of care. Each coauthor carried an area of expertise within the field of brain metastases and initially composed, edited, or reviewed their specific subsection of interest. After each subsection was accordingly written, multiple drafts of the manuscript were circulated to the entire list of authors for group discussion and feedback. The hope is that the these consensus guidelines will accelerate progress in the understanding and management of patients with brain metastases, and highlight key areas in need of further exploration that will lead to dedicated trials and other research investigations designed to advance the field.

Update on the Management of Brain Metastasis

Brain metastases occur in almost one-third of adult patients with solid tumor malignancies and lead to considerable patient morbidity and mortality. The rising incidence of brain metastases has been ascribed to the development of better imaging and screening techniques and the formulation of better systemic therapies. Until recently, the multimodal management of brain metastases focused primarily on the utilization of neurosurgical techniques, with varying combinations of whole-brain radiation therapy and stereotactic radio-surgical procedures. Over the past 2 decades, in particular, the increment in knowledge pertaining to molecular genetics and the pathogenesis of brain metastases has led to significant developments in targeted therapies and immunotherapies. This review article highlights the recent updates in the management of brain metastases with an emphasis on novel systemic therapies.

Hospice Referral in Advanced Cancer in New Jersey

The need for hospice care is increasing in the United States, but insufficient lengths of stay and disparity in access to care continue. Few studies have examined the relationship between the presence of symptoms and hospice referral. The study measured the association between hospice referral and demographic characteristics and the presence of pain and depression in a cohort of people hospitalized with metastatic cancer in New Jersey in 2018. This study was secondary analysis of the 2018 New Jersey State Inpatient Database. The sample was limited to adult patients with metastatic cancer. Descriptive statistics evaluated the composition of the sample. Generalized linear modeling estimated the effect of pain and depression on incidence of hospice referral in a racially and economically diverse population. Absence of pain resulted in lower odds of receiving a referral to hospice upon discharge (adjusted odds ratio [AOR], 0.44; 95% confidence interval [CI], 0.40-0.49; P = .00). Likewise, an absence of depression also resulted in decreased odds of a hospice referral (AOR, 0.85; 95% CI, 0.76-0.96; P = .008). Compared with Whites, Blacks (AOR, 0.86; 95% CI, 0.76-0.97; P = .00) and Hispanics had significantly lower odds of receiving a hospice referral (AOR, 0.84; 95% CI, 0.72-0.96; P = .01). Patients with a primary language other than English, there were significantly lower odds of receiving a hospice referral (AOR, 0.85; 95% CI, 0.73-0.99; P = .03). Patients with pain and depression had increased hospice referrals. Disparities persist in hospice referral, particularly in Black and Hispanic cases and those without a primary language of English.

Does ethnicity affect pain management for people with advanced disease? A mixed methods cross-national systematic review of 'very high' Human Development Index English-speaking countries

BACKGROUND

Racial disparities in pain management have been observed in the USA since the 1990s in settings such as the emergency department and oncology. However, the palliative care context is not well described, and little research has focused outside of the USA or on advanced disease. This review takes a cross-national approach to exploring pain management in advanced disease for people of different racial and ethnic groups.

METHODS

Mixed methods systematic review. The primary outcome measure was differences in receiving pain medication between people from different racial and ethnic groups. Five electronic databases were searched. Two researchers independently assessed quality using JBI checklists, weighted evidence, and extracted data. The quantitative findings on the primary outcome measure were cross-tabulated, and a thematic analysis was undertaken on the mixed methods studies. Themes were formulated into a conceptual/thematic matrix. Patient representatives from UK ethnically diverse groups were consulted. PRISMA 2020 guidelines were followed.

RESULTS

Eighteen papers were included in the primary outcome analysis. Three papers were rated 'High' weight of evidence, and 17/18 (94%) were based in the USA. Ten of the eighteen (56%) found no significant difference in the pain medication received between people of different ethnic groups. Forty-six papers were included in the mixed methods synthesis; 41/46 (89%) were based in the USA. Key themes: Patients from different ethnically diverse groups had concerns about tolerance, addiction and side effects. The evidence also showed: cultural and social doctor-patient communication issues; many patients with unmet pain management needs; differences in pain assessment by racial group, and two studies found racial and ethnic stereotyping.

CONCLUSIONS

There was not enough high quality evidence to draw a conclusion on differences in receiving pain medication for people with advanced disease from different racial and ethnic groups. The mixed methods findings showed commonalities in fears about pain medication side effects, tolerance and addiction across diverse ethnic groups. However, these fears may have different foundations and are differently prioritised according to culture, faith, educational and social factors. There is a need to develop culturally competent pain management to address doctor-patient communication issues and patients' pain management concerns.

TRIAL REGISTRATION

PROSPERO- CRD42020167890 .

Socioeconomic Disparities in Brain Metastasis Survival and Treatment: A Population-Based Study

OBJECTIVE

In the present study, we used a validated socioeconomic status (SES) index and population-based registry to identify and quantify the impact of SES on access to treatment and overall survival for patients diagnosed with synchronous brain metastases.

METHODS

The Surveillance, Epidemiology, and End Results database was used to extract all patients between 2010 and 2016 with brain metastases at initial presentation. SES was stratified into tertiles and quintiles using the validated Yost index. Multivariable logistic regressions were used to evaluate the impact of demographic, tumor, and socioeconomic covariates on receipt of radiotherapy and chemotherapy. Kaplan-Meier curves were used to estimate survival.

RESULTS

Between 2010 and 2016, 35,595 patients presented with brain metastases at the time of primary cancer diagnosis. Most patients received radiation and/or chemotherapy as part of the initial course of their treatment; 71.6% (n = 25,484) were irradiated while 54.4% (n = 19,371) received chemotherapy and 44.9% (n = 15,984) received chemoradiation. Patients in the highest Yost tertile and quintile experienced longer overall survival (P < 0.001). Additionally, multivariable logistic regression revealed that the lowest Yost quintile was significantly less likely to receive either radiation (adjusted OR: 0.82; 95% confidence interval: 0.75-0.89; P < 0.001) or chemotherapy (adjusted OR: 0.62; 95% confidence interval: 0.58-0.67; P < 0.001).

CONCLUSIONS

In a large, population-based analysis of brain metastasis patients, we found significant differences in treatment access and mild survival differences along socioeconomic strata. More specifically, patients in lower SES tiers suffered worse outcomes and received radiation and chemotherapy less frequently than patients in higher tiers, even after accounting for other tumor- and demographic-related information.

Frequency, etiologies, risk factors, and sequelae of falls among patients with brain metastases: A population- and institutional-level analysis

Background

Falls in patients with cancer harbor potential for serious sequelae. Patients with brain metastases (BrM) may be especially susceptible to falls but supporting investigations are lacking. We assessed the frequency, etiologies, risk factors, and sequelae of falls in patients with BrM using 2 data sources.

Methods

We identified 42 648 and 111 patients with BrM utilizing Surveillance, Epidemiology, and End Results (SEER)-Medicare data (2008-2016) and Brigham and Women’s Hospital/Dana-Farber Cancer Institute (BWH/DFCI) institutional data (2015), respectively, and characterized falls in these populations.

Results

Among SEER-Medicare patients, 10 267 (24.1%) experienced a fall that prompted medical evaluation, with cumulative incidences at 3, 6, and 12 months of 18.0%, 24.3%, and 34.1%, respectively. On multivariable Fine/Gray’s regression, older age (≥81 or 76-80 vs 66-70 years, hazard ratio [HR] 1.18 [95% CI, 1.11-1.25], P &lt; .001 and HR 1.10 [95% CI, 1.04-1.17], P &lt; .001, respectively), Charlson comorbidity score of &gt;2 vs 0-2 (HR 1.08 [95% CI, 1.03-1.13], P = .002) and urban residence (HR 1.08 [95% CI, 1.01-1.16], P = .03) were associated with falls. Married status (HR 0.94 [95% CI, 0.90-0.98], P = .004) and Asian vs white race (HR 0.90 [95% CI, 0.81-0.99], P = .03) were associated with reduced fall risk. Identified falls were more common among BWH/DFCI patients (N = 56, 50.4% of cohort), resulting in emergency department visits, hospitalizations, fractures, and intracranial hemorrhage in 33%, 23%, 11%, and 4% of patients, respectively.

Conclusions

Falls are common among patients with BrM, especially older/sicker patients, and can have deleterious consequences. Risk-reduction measures, such as home safety checks, physical therapy, and medication optimization, should be considered in this population.

Emergency department visits and inpatient hospitalizations among older patients with brain metastases: a dual population- and institution-level analysis

Background

Older patients with brain metastases (BrM) commonly experience symptoms that prompt acute medical evaluation. We characterized emergency department (ED) visits and inpatient hospitalizations in this population.

Methods

We identified 17 789 and 361 Medicare enrollees diagnosed with BrM using the Surveillance, Epidemiology, and End Results (SEER)-Medicare database (2010-2016) and an institutional database (2007-2016), respectively. Predictors of ED visits and hospitalizations were assessed using Poisson regression.

Results

The institutional cohort averaged 3.3 ED visits/1.9 hospitalizations per person-year, with intracranial disease being the most common reason for presentation/admission. SEER-Medicare patients averaged 2.8 ED visits/2.0 hospitalizations per person-year. For patients with synchronous BrM (N = 7834), adjusted risk factors for ED utilization and hospitalization, respectively, included: male sex (rate ratio [RR] = 1.15 [95% CI = 1.09-1.22], P < .001; RR = 1.21 [95% CI = 1.13-1.29], P < .001); African American vs white race (RR = 1.30 [95% CI = 1.18-1.42], P < .001; RR = 1.25 [95% CI = 1.13-1.39], P < .001); unmarried status (RR = 1.07 [95% CI = 1.01-1.14], P = .02; RR = 1.09 [95% CI = 1.02-1.17], P = .01); Charlson comorbidity score >2 (RR = 1.27 [95% CI = 1.17-1.37], P < .001; RR = 1.36 [95% CI = 1.24-1.49], P < .001); and receipt of non-stereotactic vs stereotactic radiation (RR = 1.44 [95% CI = 1.34-1.55, P < .001; RR = 1.49 [95% CI = 1.37-1.62, P < .001). For patients with metachronous BrM (N = 9955), ED visits and hospitalizations were more common after vs before BrM diagnosis (2.6 vs 1.2 ED visits per person-year; 1.8 vs 0.9 hospitalizations per person-year, respectively; RR = 2.24 [95% CI = 2.15-2.33], P < .001; RR = 2.06 [95% CI = 1.98-2.15], P < .001, respectively).

Conclusions

Older patients with BrM commonly receive hospital-level care secondary to intracranial disease, especially in select subpopulations. Enhanced care coordination, closer outpatient follow-up, and patient navigator programs seem warranted for this population.

Demographic and clinical factors associated with variations in opioid administration using conscious sedation during HDR brachytherapy for cervical cancer

PURPOSE/OBJECTIVES To examine patient characteristics that predispose to higher opioid administration during tandem and ovoid (T&O) high-dose rate (HDR) brachytherapy. METHODS A single-institution retrospective review was performed on patients who underwent brachytherapy for cervical cancer. Patients were included if they received at least one fraction of HDR T&O brachytherapy with analgesia administration recorded in the Medication Administration Record. Fentanyl dose was dichotomized as "low" (mean <125 μg per fraction), or "high" (mean ≥ 125 μg per fraction). Descriptive statistics and multiple logistic regression analysis were performed comparing mean opioid dose per fraction with demographic and clinical information. RESULTS From July 2014 through May 2020, 113 patients underwent 531 T&O HDR brachytherapy fractions with oral benzodiazepine and intravenous opioid fentanyl for conscious sedation. The median opioid dose per fraction was 100 μg fentanyl (range 0-250 μg). Using multiple logistic regression analysis, younger age (OR 1.071, p = 0.002) and higher BMI (OR 1.091, p = 0.019) were associated with increased opioid administration during brachytherapy. Black women received less opioid during brachytherapy when compared to White women (OR 0.296, p = 0.047). FIGO stage, ECOG score, smoking status, prior narcotic use, prior illicit drug use, parity, prior cervical procedure, Smit sleeve placement, and distance to treatment center were not associated with high opioid dose. CONCLUSION Cervical cancer patients who are younger or have higher BMI receive more narcotic analgesia during HDR brachytherapy whereas Black women received less narcotic analgesia, irrespective of age and BMI. This underscores the immediate need to address how pain is assessed and managed during brachytherapy.

Epidemiology of brain metastases and leptomeningeal disease

Brain metastases affect a significant percentage of patients with advanced extracranial malignancies. Yet, the incidence of brain metastases remains poorly described, largely due to limitations of population-based registries, a lack of mandated reporting of brain metastases to federal agencies, and historical difficulties with delineation of metastatic involvement of individual organs using claims data. However, in 2016, the Surveillance Epidemiology and End Results (SEER) program released data relating to the presence vs absence of brain metastases at diagnosis of oncologic disease. In 2020, studies demonstrating the viability of utilizing claims data for identifying the presence of brain metastases, date of diagnosis of intracranial involvement, and initial treatment approach for brain metastases were published, facilitating epidemiologic investigations of brain metastases on a population-based level. Accordingly, in this review, we discuss the incidence, clinical presentation, prognosis, and management patterns of patients with brain metastases. Leptomeningeal disease is also discussed. Considerations regarding individual tumor types that commonly metastasize to the brain are provided.

Cardioprotective medication use in Black and white breast cancer survivors

PURPOSE

Racial disparities in cardiovascular disease and cardiac dysfunction exist amongst breast cancer survivors. This study examined the prevalence of cardioprotective medication use in survivors and identified factors associated with use by race.

METHODS

The analysis included women enrolled in the Women's Hormonal Initiation and Persistence study, a longitudinal observational trial of breast cancer survivors. The study outcome, angiotensin converting enzyme inhibitor (ACEi) or ß-Blocker (BB) use, were ascertained from pharmacy records. Demographic, psychosocial, healthcare, and quality of life factors were collected from surveys and clinical data were abstracted from medical records. Bivariate associations by race and ACEi/BB use were tested using chi square and t tests; logistic regression evaluated multivariable-adjusted associations.

RESULTS

Of the 246 survivors in the sample, 33.3% were Black and most were < 65 years of age (58.4%). Most survivors were hypertensive (57.6%) and one-third received ACEi/BBs. In unadjusted analysis, White women (vs. Black) (OR 0.33, 95% 0.19-0.58) and women with higher ratings of functional wellbeing (OR 0.94, 95% 0.89-0.99) were less likely to use ACEi/BBs. Satisfaction with provider communication was only significant for White women. In multivariable-adjusted analysis, ACEi/BB use did not differ by race. Correlates of ACEi/BB use included hypertension among all women and older age for Black women only.

CONCLUSIONS

After adjusting for age and comorbidities, no differences by race in ACEi/BB use were observed. Hypertension was a major contributor of ACEi/BB use in BC survivors.

Socioeconomic Disparities in Non-Small Cell Lung Cancer With Brain Metastases at Presentation: A Population-Based Study

OBJECTIVE/BACKGROUND

The purpose of this study was to characterize the impact of household income disparities in the survival of patients with non-small cell lung cancer (NSCLC) presenting with brain metastasis on a population-based level.

METHODS

This is a population-based cohort study using the Surveillance, Epidemiology, and End Results (SEER) database from 2010-2016 including 15,808 NSCLC patients presenting with brain metastasis.

RESULTS

This study comprises 15,808 adult patients with NSCLC presenting with brain metastases having an age range 64 ± 10 years with 51% male, 76% white, 52% married, 61% insured, and with 85% of lung adenocarcinoma histopathology. The 1-, 2- and 5-year survival rates for living in the lower household income quartile were 21%, 10%, and 3%, respectively, for the second quartile 24%, 10%, and 3%; for the third quartile 28%, 14%, and 4%; and for the top quartile 31%, 17%, and 4%, respectively. Multivariate Cox proportional hazard analysis showed that living in a higher quartile household income county is associated with increased survival (P < 0.0001), hazard ratio 0.87, 95% confidence interval (0.82-0.92).

CONCLUSIONS

This population-based study suggests that living in higher median household income counties is associated with increased survival time and reduced risk of mortality for patients with NSCLC who have brain metastases present at diagnosis, independent of other factors. These findings underscore the importance of ensuring adequate and easy access to care for all patients, irrespective of their economic background.

Seizures Among Patients With Brain Metastases: A Population- and Institutional-Level Analysis

OBJECTIVE

To test the hypothesis that subets of patients with brain metastases (BrM) without seizures at intracranial presentation are at increased risk for developing seizures, we characterized the incidence and risk factors for seizure development among seizure-naive patients with BrMs.

METHODS

We identified 15,863 and 1,453 patients with BrM utilizing Surveillance, Epidemiology, and End Results (SEER)-Medicare data (2008-2016) and Brigham and Women's Hospital/Dana Farber Cancer Institute (2000-2015) institutional data, respectively. Cumulative incidence curves and Fine/Gray competing risks regression were used to characterize seizure incidence and risk factors, respectively.

RESULTS

Among SEER-Medicare and institutional patients, 1,588 (10.0%) and 169 (11.6%) developed seizures, respectively. On multivariable regression of the SEER-Medicare cohort, Black vs White race (hazard ratio [HR] 1.45 [95% confidence interval (CI), 1.22-1.73], p < 0.001), urban vs nonurban residence (HR 1.41 [95% CI, 1.17-1.70], p < 0.001), melanoma vs non-small cell lung cancer (NSCLC) as primary tumor type (HR 1.44 [95% CI, 1.20-1.73], p < 0.001), and receipt of brain-directed stereotactic radiation (HR 1.67 [95% CI, 1.44-1.94], p < 0.001) were associated with greater seizure risk. On multivariable regression of the institutional cohort, melanoma vs NSCLC (HR 1.70 [95% CI, 1.09-2.64], p = 0.02), >4 BrM at diagnosis (HR 1.60 [95% CI, 1.12-2.29], p = 0.01), presence of BrM in a high-risk location (HR 3.62 [95% CI, 1.60-8.18], p = 0.002), and lack of local brain-directed therapy (HR 3.08 [95% CI, 1.45-6.52], p = 0.003) were associated with greater risk of seizure development.

CONCLUSIONS

The role of antiseizure medications among select patients with BrM should be re-explored, particularly for those with melanoma, a greater intracranial disease burden, or BrM in high-risk locations.