Neighborhood-level socioeconomic determinants impact outcomes in nonsmall cell lung cancer patients in the Southeastern United States

Restructuring lung cancer care to accelerate diagnosis and treatment in patients vulnerable to healthcare disparities using an innovative care model

The diagnosis and treatment of lung cancer is challenged by complex diagnostic pathways and fragmented care that can lead to disparities for vulnerable patients. Our model involved a multi-institutional, multidisciplinary conference to address the complexity of lung cancer care in vulnerable patient populations. The conference was conducted using a process adapted from the problem-solving method entitled FastTrack, pioneered by General Electric. Conference attendees established critical social determinants of health specific to lung cancer and designed a practical care model to accelerate diagnosis and treatment in this population. The resulting care delivery model, the Lung Cancer Strategist Program (LCSP), was led by a lung cancer trained advanced practice provider (APP) to expedite diagnosis, surgical and oncologic consultation, and treatment of a suspicious lung nodule. We compared the timeliness of care, care efficiency, and oncologic outcomes in 100 LCSP patients and 100 routine referral patients at the same thoracic surgery clinic. Patient triage through our integrated care model transitioned initial referral evaluation to a lung cancer trained APP to coordinate multidisciplinary patient-centered care that was highly individualized and significantly reduced the time to diagnosis and treatment among vulnerable patients at high-risk for treatment delay due to healthcare disparities.•To develop the Lung Cancer Strategist Program care model, we used a three-step (Design, Meeting, and Culmination), team-based, problem-solving process entitled FastTrack.•An advantage of FastTrack is its ability to overcome barriers embedded within hierarchal and institutional social systems, empowering those closest to the relevant issue to propose and enact meaningful change.•Under this framework, we engaged a diverse field of experts to assess systemic barriers in lung cancer care and design an innovative care pathway to improve the timeliness and efficiency of lung cancer care in patients at risk for healthcare disparities.

Postoperative day 1 discharge following robotic thoracoscopic pulmonary anatomic resections in the era of enhanced recovery protocol: A single-institution experience

Objective

Implementation and continuing optimization of enhanced recovery protocol after thoracic surgery results in significant improvement of postoperative outcomes. We observed a 10-fold increase in the rate of postoperative day (POD) 1 discharges following robotic thoracoscopic anatomic resections over time. We aimed to determine factors associated with safe POD1 discharges.

Methods

We performed a retrospective analysis of a prospectively maintained database of robotic anatomic pulmonary resections between July 1, 2012, and June 30, 2022, with patients of the last 2.5 years forming the basis of this study. Data collected included demographics, insurance types, Area Deprivation Index (indicator of poverty), and operative and postoperative variables including length of stay, opioid use, daily pain levels, readmissions, and outpatient interventions. Factors associated with POD1 were analyzed using a logistic regression module.

Result

In total, 279 patients met inclusion criteria (91 POD1 discharges, 32.6%; none discharged with a pleural catheter). There was neither an increase of postdischarge interventions for pleural complications nor readmission in early discharge patients. After adjusting for relevant factors, younger age, right middle lobectomy, lower opioid use on POD1, operating room finish before 4 PM, and low Area Deprivation Index were significantly associated with POD1 discharge. A subanalysis of 49 patients, who could have been discharged on POD1, identified hypoxemia requiring home oxygen, atrial fibrillation, and poorly controlled pain being common mitigatable clinical factors delaying POD1 discharge.

Conclusions

Safe POD1 discharge following robotic thoracoscopic anatomic resection was achieved in 32% of cases. Identification of positive and negative factors affecting early discharge provides guidance for further modifications to increase the number of POD1 discharges.

What health inequalities exist in access to, outcomes from and experience of treatment for lung cancer? A scoping review

OBJECTIVES

Lung cancer (LC) continues to be the leading cause of cancer-related deaths and while there have been significant improvements in overall survival, this gain is not equally distributed. To address health inequalities (HIs), it is vital to identify whether and where they exist. This paper reviews existing literature on what HIs impact LC care and where these manifest on the care pathway.

DESIGN

A systematic scoping review based on Arksey and O'Malley's five-stage framework.

DATA SOURCES

Multiple databases (EMBASE, HMIC, Medline, PsycINFO, PubMed) were used to retrieve articles.

ELIGIBILITY CRITERIA

Search limits were set to retrieve articles published between January 2012 and April 2022. Papers examining LC along with domains of HI were included. Two authors screened papers and independently assessed full texts.

DATA EXTRACTION AND SYNTHESIS

HIs were categorised according to: (a) HI domains: Protected Characteristics (PC); Socioeconomic and Deprivation Factors (SDF); Geographical Region (GR); Vulnerable or Socially Excluded Groups (VSG); and (b) where on the LC pathway (access to, outcomes from, experience of care) inequalities manifest. Data were extracted by two authors and collated in a spreadsheet for structured analysis and interpretation.

RESULTS

41 papers were included. The most studied domain was PC (32/41), followed by SDF (19/41), GR (18/41) and VSG (13/41). Most studies investigated differences in access (31/41) or outcomes (27/41), with few (4/41) exploring experience inequalities. Evidence showed race, rural residence and being part of a VSG impacted the access to LC diagnosis, treatment and supportive care. Additionally, rural residence, older age or male sex negatively impacted survival and mortality. The relationship between outcomes and other factors (eg, race, deprivation) showed mixed results.

CONCLUSIONS

Findings offer an opportunity to reflect on the understanding of HIs in LC care and provide a platform to consider targeted efforts to improve equity of access, outcomes and experience for patients.

The Impact of Social Determinants of Health, Namely Financial Assistance, on Overall Survival in Advanced-Stage Non-Small Cell Lung Cancer Patients

PURPOSE

Non-small cell lung cancer (NSCLC) is the most prevalent form of lung cancer. Studies have evaluated the association of social determinants of health (SDH) with outcomes in early-stage NSCLC. These studies have shown statistically and clinically significant associations between overall survival (OS) and other SDH (e.g marital status, educational attainment).The aim of our study was to better understand the role of various SDH on OS in advanced-stage NSCLC patients in a community oncology practice in Florida.  Methods: In this retrospective study, 125 patients with stage III and IV NSCLC were identified between January 1, 2014, and December 31, 2018. We performed Pearson's chi-square and Kruskal-Wallis test to evaluate the association between median OS and several independent variables, including; gender, race, marital status, insurance status, living status, receiving financial assistance (FA), alcohol use, and smoking histories. OS is defined as the date of diagnosis up to the date of death. Other confounders that were analyzed included histology, treatment modality, comorbidities, and performance status of the patients.  Results: Our results demonstrated that patients receiving FA had nearly a two-fold increase in median OS compared to patients without FA (median OS = 1.01 years vs. 0.545 years, respectively; p = 0.012).

CONCLUSION

Overall, this study highlighted the importance of reducing the financial burden of advanced-stage NSCLC on patients and how FA impacts patient outcomes. However, future prospective cohort studies with a larger sample size are warranted to identify other SDH, as well as the underlying mechanisms affecting median OS, in patients with advanced-stage NSCLC.

Neighborhood disadvantage is associated with KRAS-mutated non-small cell lung cancer risk

Purpose

It remains unclear why individuals living in disadvantaged neighborhoods have shorter non-small cell lung cancer (NSCLC) survival. It is possible that living in these deprived areas is linked with increased risk of developing aggressive NSCLC biology. Here, we explored the association of somatic KRAS mutations, which are associated with shorter survival in NSCLC patients, and 11 definitions of neighborhood disadvantage spanning socioeconomic and structural environmental elements.

Methods

We analyzed data from 429 NSCLC patients treated at a Comprehensive Cancer Center from 2015 to 2018. Data were abstracted from medical records and each patient’s home address was used to assign publicly available indices of neighborhood disadvantage. Prevalence Ratios (PRs) for the presence of somatic KRAS mutations were estimated using modified Poisson regression models adjusted for age, sex, smoking status, race/ethnicity, educational attainment, cancer stage, and histology.

Results

In the NSCLC cohort, 29% had KRAS mutation-positive tumors. We found that five deprivation indices of socioeconomic disadvantage were associated with KRAS mutation. A one decile increase in several of these socioeconomic disadvantage indices was associated with a 1.06 to 1.14 increased risk of KRAS mutation. Measures of built structural environment were not associated with KRAS mutation status.

Conclusion

Socioeconomic disadvantage at the neighborhood level is associated with higher risk of KRAS mutation while disadvantage related to built environmental structural measures was inversely associated. Our results indicate not only that neighborhood disadvantage may contribute to aggressive NSCLC biology, but the pathways linking biology to disadvantage are likely operating through socioeconomic-related stress.

The Scan, the Needle, or the Knife? National Trends in Diagnosing Stage I Lung Cancer

OBJECTIVE

Indeterminate lung nodules have been increasingly discovered since the expansion of lung cancer screening programs. The diagnostic approach for suspicious nodules varies based on institutional resources and preferences. The aim of this study is to analyze factors associated with diagnostic modalities used for early-stage non-small cell lung cancer (NSCLC).

METHODS

The National Cancer Database was queried for all patients with stage I NSCLC from 2004 to 2015. Four diagnostic modalities were identified, including clinical radiography alone (CRA), bronchial cytology (BC), procedural biopsy (PB), and surgical biopsy (SB). A multivariable multinomial logistic regression was used to assess associations of patient demographics, cancer characteristics, and facility characteristics with these modalities.

RESULTS

Of 250,614 patients, 4,233 (1.7%) had CRA, 5,226 (2.1%) had BC, 147,621 (59.9%) had PB, and 93,534 (37.3%) had SB. Older patients were more likely to receive CRA (adjusted odds ratio [ORadj] = 5.3) and less likely to receive SB (ORadj = 0.73). Black patients were less likely to receive SB (ORadj = 0.83) and more likely to receive BC (ORadj = 1.31). Private insurance was associated with SB (ORadj = 1.11), whereas Medicaid was associated with BC (ORadj = 1.21). Patients more than 50 miles from the facility were more likely to undergo SB (ORadj = 1.25 vs PB; ORadj = 1.30 vs CRA; ORadj = 1.38 vs BC). Patients receiving SB had shorter days from diagnosis to treatment (23.0 vs 53.5 to 64.7 for other modalities, P < 0.001).

CONCLUSIONS

Diagnostic SB to confirm early-stage NSCLC was associated with younger age, greater travel distance, and shorter time to treatment in comparison with other modalities. Black race and non-private insurance were less likely to be associated with SB.

Neighborhood disadvantage and lung cancer risk in a national cohort of never smoking Black women

BACKGROUND

Compared to women of other races who have never smoked, Black women have a higher risk of lung cancer. Whether neighborhood disadvantage, which Black women experience at higher rates than other women, is linked to never-smoking lung cancer risk remains unclear. This study investigates the association of neighborhood disadvantage and lung cancer risk in Black never-smoking women.

METHODS AND MATERIALS

This research utilized data from the Black Women's Health Study, a prospective cohort of 59,000 Black women recruited from across the US in 1995 and followed by biennial questionnaires. Associations of lung cancer incidence with neighborhood-level factors (including two composite variables derived from Census Bureau data: neighborhood socioeconomic status and neighborhood concentrated disadvantage), secondhand smoke exposure, and PM_2.5 were estimated using Fine-Gray subdistribution hazard models.

RESULTS

Among 37,650 never-smokers, 77 were diagnosed with lung cancer during follow-up from 1995 to 2018. The adjusted subdistribution hazard ratio (sHR) of lung cancer incidence with ten unit increase in neighborhood concentrated disadvantage index was 1.30 (95 % CI: 1.04, 1.63, p = 0.023). Exposure to secondhand smoke at work was associated with increased risk (sHR = 1.93, 95 % CI: 1.21, 3.10, p = 0.006), but exposure to secondhand smoke at home and PM_2.5 was not.

CONCLUSION

Worse neighborhood concentrated disadvantage was associated with increased lung cancer risk in Black women who never smoked. These findings suggest that non-tobacco-related factors in disadvantaged neighborhoods may be linked to lung cancer risk in Black women and that these factors must be understood and targeted to achieve health equity.

Association of area-level socioeconomic status and non-small cell lung cancer stage by race/ethnicity and health care-level factors: Analysis of the National Cancer Database

BACKGROUND

This study examined whether the association of socioeconomic status (SES) and non-small cell lung cancer (NSCLC) stage varied by race/ethnicity and health care access measures.

METHODS

This study used data from the 2004-2016 National Cancer Database for patients aged 18-89 years who had been diagnosed with Stage 0-IV NSCLC. Adjusted odds ratios (aORs) with 95% confidence intervals (CIs) were calculated for the associations of area-level SES with an advanced stage at diagnosis via multilevel, multivariable logistic regression. The stage at diagnosis was dichotomized into early (0-II) and advanced (III-IV) stages, and area-level SES was categorized on the basis of the patient's zip code level: (1) the proportion of adults aged ≥25 years without a high school degree and (2) the median household income. The models were stratified by race/ethnicity (non-Hispanic [NH] White, NH Black, Hispanic, Asian, American Indian/Alaskan Native, and Native Hawaiian/Pacific Islander), insurance status (none, government, and private), and health care facility type (community, comprehensive community, academic/research, and integrated network).

RESULTS

The study population included 1,329,972 patients. Although only 17% of the NH White patients were in the lowest income quartile, 50% of the NH Black patients were in this group. Lower area-level education and income were associated with higher odds of an advanced-stage diagnosis (aOR for education, 1.12; 95% CI, 1.10-1.13; aOR for income, 1.13; 95% CI, 1.11-1.14). These associations persisted among NH White, NH Black, Hispanic, and Asian patients; among those with government and private insurance (but not the uninsured); and among those treated at each facility type.

CONCLUSIONS

Area-level income and education are strongly associated with an advanced NSCLC diagnosis regardless of the facility type and among those with government and private insurance.

Independent Predictors for Hospitalization-Associated Radiotherapy Interruptions

Purpose

Radiation treatment interruption associated with unplanned hospitalization remains understudied. The intent of this study was to benchmark the frequency of hospitalization-associated radiation therapy interruptions (HARTI), characterize disease processes causing hospitalization during radiation, identify factors predictive for HARTI, and localize neighborhood environments associated with HARTI at our academic referral center.

Methods and Materials

This retrospective review of electronic health records provided descriptive statistics of HARTI event rates at our institutional practice. Uni- and multivariable logistic regression models were developed to identify significant factors predictive for HARTI. Causes of hospitalization were established from primary discharge diagnoses. HARTI rates were mapped according to patient residence addresses.

Results

Between January 1, 2015, and December 31, 2017, 197 HARTI events (5.3%) were captured across 3729 patients with 727 total missed treatments. The 3 most common causes of hospitalization were malnutrition/dehydration (n = 28; 17.7%), respiratory distress/infection (n = 24; 13.7%), and fever/sepsis (n = 17; 9.7%). Factors predictive for HARTI included African-American race (odds ratio [OR]: 1.48; 95% confidence interval [CI], 1.07-2.06; P = .018), Medicaid/uninsured status (OR: 2.05; 95% CI, 1.32-3.15; P = .0013), Medicare coverage (OR: 1.7; 95% CI, 1.21-2.39; P = .0022), lung (OR: 5.97; 95% CI, 3.22-11.44; P < .0001), and head and neck (OR: 5.6; 95% CI, 2.96-10.93; P < .0001) malignancies, and prescriptions >20 fractions (OR: 2.23; 95% CI, 1.51-3.34; P < .0001). HARTI events clustered among Medicaid/uninsured patients living in urban, low-income, majority African-American neighborhoods, and patients from middle-income suburban communities, independent of race and insurance status. Only the wealthiest residential areas demonstrated low HARTI rates.

Conclusions

HARTI disproportionately affected socioeconomically disadvantaged urban patients facing a high treatment burden in our catchment population. A complementary geospatial analysis also captured the risk experienced by middle-income suburban patients independent of race or insurance status. Confirmatory studies are warranted to provide scale and context to guide intervention strategies to equitably reduce HARTI events.

A Lung Cancer Screening Education Program Impacts both Referral Rates and Provider and Medical Assistant Knowledge at Two Federally Qualified Health Centers

BACKGROUND

Federally Qualified Health Centers (FQHCs) serve minority and low-socioeconomic populations and provide care to high-risk smokers. These centers frequently experience barriers, including low provider and medical assistant (MA) knowledge around lung cancer screening (LCS). Subsequent low LCS referral rates by providers at FQHCs limit utilization of LCS in eligible, high-risk, underserved patients.

METHODS

Providers and MAs from two FQHCs participated in a LCS educational session. A pre-educational survey was administered at the start of the session and a post-educational survey at the end. The intervention included a presentation with education around non-small cell lung cancer, LCS, tobacco cessation, and shared-decision making. Both surveys were used to evaluate changes in provider and MA ability to determine eligible patients for LCS. The Pearson's Chi-squared test with Yates' continuity correction was used to measure the impact.

RESULTS

A total of 29 providers and 28 MAs enrolled in the study from two FQHCs. There was an improvement, P < .009 and P < .015 respectively, in provider and MA confidence in identifying patients for LCS. Additionally, one year prior to the program, 9 low-dose computed tomography (LDCTs) were ordered at one of the FQHCs and 0 at the other. After the program, over 100 LDCTs were ordered at each FQHC.

CONCLUSIONS

A targeted LCS educational program improves provider and MAs' ability to identify eligible LCS patients and is associated with an increase in the number of patients referred to LDCT at FQHCs.

Rural vs urban inequalities in stage at diagnosis for lung cancer

OBJECTIVES

Early diagnosis of lung cancer increases the chance of survival. The aim of this study was to measure the relationship between geographic residence in Saskatchewan and stage of lung cancer at the time of diagnosis.

MATERIALS AND METHODS

Retrospective cohort analysis of 2,972 patients with a primary diagnosis of either non-small cell cancer (NSCLC) or small cell lung cancer (SCLC) between 2007 and 2012 was performed. Incidence proportion of early and advanced stage cancer, and relative risk of being diagnosed with advanced-stage lung cancer relative to early-stage was calculated.

RESULTS

Compared to urban Saskatchewan, rural Saskatchewan lung cancer patients had a higher relative risk of advanced stage NSCLC (relative risk [RR] = 1.11, 95% confidence interval [CI]: 1.01-1.22). Rural Saskatchewan was further subdivided into north and south. The relative risk of advanced stage NSCLC in rural north Saskatchewan compared to urban Saskatchewan was even greater (RR = 1.17, 95% CI: 1.03-1.31). Although not statistically significant, there was a trend for a higher incidence of advanced stage SCLC in rural and rural north vs urban Saskatchewan (RR = 1.16, 95% CI: 0.95-1.43 and RR = 1.22; 95% CI: 0.94-1.58, respectively). There was a higher incidence proportion of advanced stage NSCLC in rural areas relative to urban (31.6-34.4 vs 29.5 per 10,000 people).

CONCLUSION

Patients living in rural Saskatchewan have higher incidence proportion of and were more likely to present with advanced stage NSCLC in comparison to urban Saskatchewan patients at time of diagnosis. This inequality was even greater in rural north Saskatchewan.

Disparities in Tumor Mutational Burden, Immunotherapy Use, and Outcomes Based on Genomic Ancestry in Non-Small-Cell Lung Cancer

PURPOSE

In patients with advanced non–small-cell lung cancer (aNSCLC), tumor mutational burden (TMB) may vary by genomic ancestry; however, its impact on treatment outcomes is unclear. This retrospective, observational study describes treatment patterns of patients with aNSCLC by genomic ancestry and electronic health record (EHR)-reported race and/or ethnicity and evaluates differences in TMB, cancer immunotherapy (CIT) access, and treatment outcomes across racial and ancestral groups.

METHODS

Patients diagnosed with aNSCLC after January 1, 2011, were selected from a real-world deidentified clinicogenomics database and EHR-derived database; continuously enrolled patients were evaluated. Race and/or ethnicity was recorded using variables from the EHR database; genomic ancestry was classified by single-nucleotide polymorphisms on a next-generation sequencing panel. A threshold of 16 mutations per megabase was used to categorize TMB status.

RESULTS

Of 59,559 patients in the EHR-derived database and 7,548 patients in the clinicogenomics database, 35,016 (58.8%) and 4,392 (58.2%) were continuously enrolled, respectively. CIT use was similar across EHR-reported race groups, ranging from 34.4% to 37.3% for non-Hispanic Asian and non-Hispanic Black patients, respectively. TMB levels varied significantly across ancestry groups (P < .001); patients of African ancestry had the highest median TMB (8.75 mutations per megabase; interquartile range, 4.35-14.79). In patients who had received CIT, high TMB was associated with improved overall survival compared with low TMB (20.89 v 11.83 months; hazard ratio, 0.60; 95% CI, 0.51 to 0.70) across genomic ancestral groups.

CONCLUSION

These results suggest that equitable access to next-generation sequencing may improve aNSCLC outcome disparities in racially and ancestrally diverse populations.

The Association between Polluted Neighborhoods and TP53-Mutated Non-Small Cell Lung Cancer

BACKGROUND

Poor patients often reside in neighborhoods of lower socioeconomic status (SES) with high levels of airborne pollutants. They also have higher mortality from non-small cell lung cancer (NSCLC) than those living in wealthier communities. We investigated whether living in polluted neighborhoods is associated with somatic mutations linked with lower survival rates, i.e., TP53 mutations.

METHODS

In a retrospective cohort of 478 patients with NSCLC treated at a comprehensive cancer center between 2015 and 2018, we used logistic regression to assess associations between individual demographic and clinical characteristics, including somatic TP53 mutation status and environmental risk factors of annual average particulate matter (PM2.5) levels, and neighborhood SES.

RESULTS

277 patients (58%) had somatic TP53 mutations. Of those, 45% lived in neighborhoods with "moderate" Environmental Protection Agency-defined PM2.5 exposure, compared with 39% of patients without TP53 mutations. We found significant associations between living in neighborhoods with "moderate" versus "good" PM2.5 concentrations and minority population percentage [OR, 1.06; 95% confidence interval (CI), 1.04-1.08]. There was a significant association between presence of TP53 mutations and PM2.5 exposure (moderate versus good: OR, 1.66; 95% CI, 1.02-2.72) after adjusting for patient characteristics, other environmental factors, and neighborhood-level SES.

CONCLUSIONS

When controlling for individual- and neighborhood-level confounders, we find that the odds of having a TP53-mutated NSCLC are increased in areas with higher PM2.5 exposure.

IMPACT

The link between pollution and aggressive biology may contribute to the increased burden of adverse NSCLC outcomes in individuals living in lower SES neighborhoods.

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.

Lung Cancer Strategist Program: A novel care delivery model to improve timeliness of diagnosis and treatment in high-risk patients

INTRODUCTION

The diagnosis and treatment of lung cancer is challenged by complex diagnostic pathways and fragmented care that can lead to care disparities for vulnerable patients.

METHODS

A multi-institutional, multidisciplinary conference was convened to address the complexity of lung cancer care particularly in patients at high-risk for treatment delay. The resulting care delivery model, called the Lung Cancer Strategist Program (LCSP), was led by a thoracic-trained advanced practice provider (APP) with emphasis on expedited surgery and early oncologic consultation in the assessment of a newly diagnosed suspicious lung nodule. We performed a retrospective review to evaluate care efficiency and oncologic outcomes in the first 100 LCSP patients compared to 100 concurrent patients managed via routine surgical referral.

RESULTS

In the 78 LCSP and 41 routine referral patients managed via nodule surveillance, LCSP patients had a shorter time from suspicious finding to work-up (3 vs. 26 days, p < 0.001) and to surveillance decision (12.5 vs. 39 days, p < 0.001). In the 22 LCSP and 59 routine referral patients treated for intrathoracic malignancy, LCSP patients had fewer hospital visits (4 vs 6, p < 0.001), clinicians seen (1.5 vs. 2, p = 0.08), and diagnostic studies (4 vs 5, p = 0.01) with a shorter time to diagnosis (30.5 vs. 48 days, p = 0.02) and treatment (40.5 vs. 68.5 days, p = 0.02).

CONCLUSIONS

Patient triage through a thoracic-trained APP in consultation with surgical, medical, and radiation oncology facilitates rapid assessment of benign versus malignant lesions with reduced time to diagnosis and treatment, even among patients at high-risk for treatment delay.

The impact of income and education on lung cancer screening utilization, eligibility, and outcomes: a narrative review of socioeconomic disparities in lung cancer screening

Non-small cell lung cancer (NSCLC) is the leading cause of cancer deaths in the US and worldwide. In particular, vulnerable populations such as those of low socioeconomic status (SES) are at the highest risk for and suffer the highest mortality from NSCLC. Although lung cancer screening (LCS) has been demonstrated to be a powerful tool to lower NSCLC mortality, it is underutilized by eligible smokers, and disparities in screening are likely to contribute to inequities in NSCLC outcomes. It is imperative that we collect and analyze LCS data focused on individuals of low socioeconomic position to identify and address barriers to LCS utilization and help close the gaps in NSCLC mortality along socioeconomic lines. Toward this end, this review aims to examine published studies that have evaluated the impact of income and education on LCS utilization, eligibility, and outcomes. We searched the PubMed, Ovid MEDLINE, and CINAHL Plus databases for all studies published from January 1, 2010, to October 21, 2020, that discussed socioeconomic-based LCS outcomes. The review reveals that income and education have impact on LCS utilization, eligibility, false positive rates and smoking cessation attempts; however, there is a lack of studies evaluating the impact of SES on LCS follow-up, stage at diagnosis, and treatment. We recommend the intentional inclusion of lower SES participants in LCS studies in order to clarify appropriate eligibility criteria, risk-based metrics and outcomes in this high-risk group. We also anticipate that low SES smokers and their providers will require increased support and education regarding smoking cessation and shared decision-making efforts.

Racial and socioeconomic disparities in the use of stereotactic body radiotherapy for treating non-small cell lung cancer: a narrative review

In the past two decades, there has been a steady increase in the use of stereotactic body radiotherapy (SBRT) as an alternative to surgical intervention for early-stage non-small cell lung cancer (NSCLC) patients; however, not much is known about the impact of race and socioeconomic status (SES) on the delivery of SBRT. Here, we conduct a narrative review to examine potential disparities in the use of SBRT. Keyword searches of MEDLINE/PubMed, Web of Science, Embase, and Google Scholar databases were performed for studies focused on race, SES, and the use of SBRT published between 2000 and 2020. Six studies were identified, and showed that minority patients, especially Blacks, were less likely to receive SBRT and had a significantly longer median time between diagnosis to SBRT treatment. Patients with lower income or lower education, as well as those from lower socioeconomic regions were less likely to receive SBRT; they were more likely to receive conventionally fractionated external beam radiation (CFRT) or no treatment. These racial and socioeconomic factors were associated with worse survival in other general early-stage NSCLC studies. In conclusion, the limited number of published studies suggest significant disparities in the treatment of early-stage NSCLC with SBRT. These factors potentially lead to worse survival outcomes among vulnerable patient populations. Equal access to SBRT should be a focus of healthcare delivery systems, to ensure optimal clinical outcomes for patients with early-stage NSCLC.

The Association Between Area Deprivation Index and Patient-Reported Outcomes in Patients with Advanced Cancer

Background: This analysis describes associations between area deprivation and patient-reported outcomes among patients with advanced cancer. Methods: This is a cross-sectional analysis of baseline data from a multisite primary palliative care intervention trial. Participants were adult patients with advanced cancer. Patient-level area deprivation scores were calculated using the Area Deprivation Index (ADI). Quality of life and symptom burden were measured. Uni- and multivariate regressions estimated associations between area deprivation and outcomes of interest. Results: Among 672 patients, ∼0.5 (54%) were women and most (94%) were Caucasian. Mean age was 69.3±10.2 years. Lung (36%), breast (13%), and colon (10%) were the most common malignancies. Mean ADI was 64.0, scale of 1 (low)-100 (high). In unadjusted univariate analysis, Functional Assessment of Cancer Therapy-Palliative (p=0.002), Edmonton Symptom Assessment Scale (p=0.025) and the Hospital Anxiety and Depression Scale anxiety (p=0.003) and depression (p=0.029) scores were significantly associated with residence in more deprived areas (p=0.003). In multivariate analysis, controlling for patient-level factors, living in more deprived areas was associated with more anxiety (p=0.019). Conclusion: Higher ADI was associated with higher levels of anxiety among patients with advanced cancer. Geographic information could assist clinicians with providing geographically influenced social support strategies.

Racial and Other Healthcare Disparities in Patients With Extensive-Stage SCLC

INTRODUCTION

Systemic treatment with chemotherapy is warranted for patients with extensive-stage SCLC (ES-SCLC). The objective of this study was to determine whether racial and other healthcare disparities exist in receipt of chemotherapy for ES-SCLC.

METHODS

Utilizing the National Cancer Database, 148,961 patients diagnosed to have stage IV SCLC from 2004 to 2016 were identified. Adjusted ORs with 95% confidence intervals (95% CIs) were computed for receipt of chemotherapy using multivariate logistic regression modeling. Cox regression modeling was used to perform overall survival analysis, and adjusted hazard ratios were calculated.

RESULTS

A total of 82,592 patients were included, among which chemotherapy was not administered to 6557 (7.9%). Higher education, recent year of diagnosis, and treatment at more than one facility were associated with increased odds of receiving chemotherapy. Factors associated with a decreased likelihood of receiving chemotherapy were increasing age, race, nonprivate insurance, and comorbidities. On multivariate analysis, black patients had lower odds of receiving chemotherapy compared with white patients (adjusted OR, 0.85; 95% CI: 0.77-0.93, p = 0.0004). Furthermore, black patients had better survival compared with white patients (adjusted hazard ratio, 0.91; 95% CI: 0.89-0.94, p = 0.91). The 1-year survival (median survival) for black and white patients was 31.7% (8.3 mo) and 28.6% (8 mo), respectively.

CONCLUSIONS

Black patients with ES-SCLC were less likely to receive chemotherapy, as were elderly, uninsured, and those with nonprivate insurance. Further studies are required to address underlying reasons for lack of chemotherapy receipt in black patients with ES-SCLC and guide appropriate interventions to mitigate disparities.

Neighborhood context and non-small cell lung cancer outcomes in Florida non-elderly patients by race/ethnicity

OBJECTIVE

The purpose of this study was to investigate the relationship between neighborhood environment and lung cancer outcomes among Florida residents younger than 65 years of age.

METHODS AND MATERIALS

This was a retrospective cohort study that included patients diagnosed with non-small cell lung cancer (NSCLC) in Florida from January 2005 to December 2014 (n = 22,750). Multi-level, mixed-effect logistic regression models were used for two outcomes: receipt of treatment and receipt of surgery. Survival analyses, using proportional subdistribution hazard models, were conducted to examine the impact of neighborhood characteristics on risk of death due to lung cancer with adjustment for individual-level variables. Neighborhood exposures of interest were census tract level black and Hispanic segregation combined with economic deprivation.

RESULTS

White patients who lived in low black segregation/high deprivation areas had 15 % lower odds of receiving surgery (95 % CI: 0.76-0.93). However, the likelihood of receiving surgery for black patients who lived in high black segregation/low deprivation and high black segregation/high deprivation was lower than for black patients who lived in low black segregation/low deprivation neighborhoods (level 3 AOR = 0.56 [0.38-0.85]; level 4 AOR = 0.69 [0.54-0.88]). Living in suburban and rural areas increased the risk of lung cancer death for white patients by 14 % (95 % CI: 1.05-1.24) and 26 % (95 % CI: 1.08-1.46), respectively. Living in rural areas increased the risk of death for black patients by 54 % r (SHR = 1.54 [1.19-2.0]). Black patients who live in high Hispanic segregation/high deprivation had 36 % increased risk of death compared to black patients who lived in low Hispanic segregation/low deprivation areas.

CONCLUSION

This study suggests that when investigating cancer disparities, merely adjusting for race/ethnicity does not provide sufficient explanation to understand survival and treatment variations. Lung cancer outcomes are impacted by neighborhood environments that are formed based on the distribution of race, ethnicity and class.

Disparities in guideline-concordant treatment for node-positive, non-small cell lung cancer following surgery

OBJECTIVES

To examine guideline concordance across a national sample and determine the relationship between socioeconomic factors, use of recommended postoperative adjuvant therapy, and outcomes for patients with resected pN1 or pN2 non-small cell lung cancer.

METHODS

All margin-negative pT1-3 N1-2 M0 non-small cell lung cancers treated with lobectomy or pneumonectomy without induction therapy in the National Cancer Database between 2006 and 2013 were included. Use of guideline-concordant adjuvant treatment, defined as chemotherapy for pN1 disease and chemotherapy with or without radiation for pN2 disease, was examined. Multivariable regression models were developed to determine associations of clinical factors with guideline adherence. Survival was estimated using Kaplan-Meier and Cox proportional hazard analyses.

RESULTS

Of 13,462 patients, 10,113 had pN1 disease and 3349 had pN2 disease. Guideline-concordant adjuvant therapy was used in 6844 (67.7%) patients with pN1 disease and 2622 (78.3%) patients with pN2 disease. After multivariable adjustment, insurance status, older age, pneumonectomy, readmission, and longer postoperative stays were associated with lower likelihood of guideline concordance. Conversely, increased education level, later year of diagnosis, and greater nodal stage were associated with greater concordance. Overall, patients treated with guideline-concordant therapy had superior survival (5-year survival: 51.6 vs 36.0%; hazard ratio, 0.66; 95% confidence interval, 0.62-0.70, P < .001).

CONCLUSIONS

Socioeconomic factors, including insurance status and geographic region, are associated with disparities in use of adjuvant therapy as recommended by National Comprehensive Cancer Network guidelines. These disparities significantly impact patient survival. Future work should focus on improving access to appropriate adjuvant therapies among the under insured and socioeconomically disadvantaged.

Socioeconomic status and survival outcomes in elderly cancer patients: A national health insurance service-elderly sample cohort study

BACKGROUND

We hypothesized that lower socioeconomic status (SES) was associated with higher all-cause mortality in patients newly diagnosed with cancer, particularly in the elderly population.

METHODS

We collected study patients from the stratified random sample of Korean National Health Insurance Elderly Cohort (2002-2015). The Cox's proportional hazards model was used to investigate the risk factors for mortality. Income level and composite deprivation index (CDI) 2010 were used to define the SES: low, intermediate, and high SES groups. The comorbidities were measured using Charlson Comorbidity Index score. After a wash-out period (2002), the final study population was 108 626 (2003-2015).

RESULTS

In multivariate analysis, low SES was associated with poor overall survival (OS) (HR = 1.08, 95% CI: 1.05-1.12, P < 0.001) and cancer-specific survival (CSS) (HR = 1.11, 95% CI: 1.06-1.16, P < 0.001) particularly for patients aged 70-79 years. High SES was favorable prognostic factor of OS in patients aged 60-69 years (HR = 0.85, 95% CI: 0.81-0.89, P < 0.001), 70-79 years (HR = 0.90, 95% CI: 0.87-0.93, P < 0.001), and ≥80 years (HR = 0.91, 95% CI: 0.87-0.96, P < 0.001). However, SES was not associated with CSS in advanced age patients (≥80 years). Patients with low SES manifesting colorectal, urinary, liver, gastric, melanoma, and esophageal cancers demonstrated worse OS, compared to patients with intermediate SES. Also, low SES patients with urinary, liver, or colorectal cancers or melanoma demonstrated worse CSS compared to those with intermediate SES.

CONCLUSION

Low SES at the time of cancer diagnosis is associated with increased risk of OS and CSS in elderly patients. Depending on cancer sites, different patterns of OS and CSS were observed according to SES. Further elucidation of the causes underlying these phenomena is needed along with appropriate support for elderly cancer patients with low SES.

Socioeconomic Differences and Lung Cancer Survival-Systematic Review and Meta-Analysis

Background: The impact of socioeconomic differences on cancer survival has been investigated for several cancer types showing lower cancer survival in patients from lower socioeconomic groups. However, little is known about the relation between the strength of association and the level of adjustment and level of aggregation of the socioeconomic status measure. Here, we conduct the first systematic review and meta-analysis on the association of individual and area-based measures of socioeconomic status with lung cancer survival.

Methods: In accordance with PRISMA guidelines, we searched for studies on socioeconomic differences in lung cancer survival in four electronic databases. A study was included if it reported a measure of survival in relation to education, income, occupation, or composite measures (indices). If possible, meta-analyses were conducted for studies reporting on individual and area-based socioeconomic measures.

Results: We included 94 studies in the review, of which 23 measured socioeconomic status on an individual level and 71 on an area-based level. Seventeen studies were eligible to be included in the meta-analyses. The meta-analyses revealed a poorer prognosis for patients with low individual income (pooled hazard ratio: 1.13, 95 % confidence interval: 1.08–1.19, reference: high income), but not for individual education. Group comparisons for hazard ratios of area-based studies indicated a poorer prognosis for lower socioeconomic groups, irrespective of the socioeconomic measure. In most studies, reported 1-, 3-, and 5-year survival rates across socioeconomic status groups showed decreasing rates with decreasing socioeconomic status for both individual and area-based measures. We cannot confirm a consistent relationship between level of aggregation and effect size, however, comparability across studies was hampered by heterogeneous reporting of socioeconomic status and survival measures. Only eight studies considered smoking status in the analysis.

Conclusions: Our findings suggest a weak positive association between individual income and lung cancer survival. Studies reporting on socioeconomic differences in lung cancer survival should consider including smoking status of the patients in their analysis and to stratify by relevant prognostic factors to further explore the reasons for socioeconomic differences. A common definition for socioeconomic status measures is desirable to further enhance comparisons between nations and across different levels of aggregation.

Thirty-day unplanned postoperative inpatient and emergency department visits following thoracotomy

BACKGROUND

Unplanned visits to the emergency department (ED) and inpatient setting are expensive and associated with poor outcomes in thoracic surgery. We assessed 30-d postoperative ED visits and inpatient readmissions following thoracotomy, a high morbidity procedure.

MATERIALS AND METHODS

We retrospectively analyzed inpatient and ED administrative data from California, Florida, and New York, 2010-2011. "Return to care" was defined as readmission to inpatient facility or ED within 30 d of discharge. Factors associated with return to care were analyzed via multivariable logistic regressions with a fixed effect for hospital variability.

RESULTS

Of 30,154 thoracotomies, 6.3% were admitted to the ED and 10.2% to the inpatient setting within 30 d of discharge. Increased risk of inpatient readmission was associated with Medicare (odds ratio [OR] 1.30; P < 0.001) and Medicaid (OR 1.31; P < 0.0001) insurance status compared to private insurance and black race (OR 1.18; P = 0.02) compared to white race. Lung cancer diagnosis (OR 0.83; P < 0.001) and higher median income (OR 0.89; P = 0.04) were associated with decreased risk of inpatient readmission. Postoperative ED visits were associated with Medicare (OR 1.24; P < 0.001) and Medicaid insurance status (OR 1.59; P < 0.001) compared to private insurance and Hispanic race (OR 1.19; P = 0.04) compared to white race.

CONCLUSIONS

Following thoracotomy, postoperative ED visits and inpatient readmissions are common. Patients with public insurance were at high risk for readmission, while patients with underlying lung cancer diagnosis had a lower readmission risk. Emphasizing postoperative management in at-risk populations could improve health outcomes and reduce unplanned returns to care.

Impact of Socioeconomic Status on Pretreatment Weight Loss and Survival in Non-Small-Cell Lung Cancer

PURPOSE

Socioeconomic status (SES) influences health care outcomes, but the influence of primary payer on cancer-associated wasting is unknown. We hypothesized that primary payer as an indicator of SES would influence pretreatment cancer-associated weight loss and treatment outcomes.

MATERIALS AND METHODS

Retrospective review of medical records identified 1,366 patients with non-small-cell lung cancer (NSCLC) consecutively treated at a tertiary care health system between January 1, 2006 and December 31, 2013. Insurance status was obtained from an institutional tumor registry. Cancer-associated weight loss was based on the validated international consensus definition of cachexia. Multivariable regression analyses were used to identify prognostic factors of pretreatment cancer-associated weight loss and survival.

RESULTS

The cohort included a representative group of patients with a median age at diagnosis of 64 years, 47% females, and 33% patients of nonwhite race. Pretreatment cancer-associated weight loss was present at the time of NSCLC diagnosis in 17%, 14%, 32%, and 38% of patients with stage I, II, III, and IV disease, respectively. Pretreatment cancer-associated weight loss was associated with increasing age at diagnosis, black race, single marital status, tobacco use, and disease stage. Compared with private insurance, Medicaid insurance (odds ratio, 2.17; 95% CI, 1.42 to 3.30) and lack of insurance (odds ratio, 2.32; 95% CI, 1.50 to 3.58) were associated with pretreatment cancer-associated weight loss. Among cachectic patients, comorbidity, histology, tumor grade, and disease stage were prognostic of survival on multivariable analysis; however, primary payer was not.

CONCLUSION

Pretreatment cancer-associated weight loss is common in patients with NSCLC, and its presence is significantly associated with lower SES. However, among patients with pretreatment cancer-associated weight loss, SES was not predictive of survival. Early use of cancer cachexia-directed therapies may improve outcomes, and further study on the biologic mechanisms of cancer cachexia will provide novel therapeutic avenues.

Impact of socioeconomic status on survival for patients with anal cancer

BACKGROUND

Although outcomes for patients with squamous cell carcinoma of the anus (SCCA) have improved, the gains in benefit may not be shared uniformly among patients of disparate socioeconomic status. In the current study, the authors investigated whether area-based median household income (MHI) is predictive of survival among patients with SCCA.

METHODS

Patients diagnosed with SCCA from 2004 through 2013 in the Surveillance, Epidemiology, and End Results registry were included. Socioeconomic status was defined by census-tract MHI level and divided into quintiles. Multivariable Cox proportional hazards models and logistic regression were used to study predictors of survival and radiotherapy receipt.

RESULTS

A total of 9550 cases of SCCA were included. The median age of the patients was 58 years, 63% were female, 85% were white, and 38% were married. In multivariable analyses, patients living in areas with lower MHI were found to have worse overall survival and cancer-specific survival (CSS) compared with those in the highest income areas. Mortality hazard ratios for lowest to highest income were 1.32 (95% confidence interval [95% CI], 1.18-1.49), 1.31 (95% CI, 1.16-1.48), 1.19 (95% CI, 1.06-1.34), and 1.16 (95% CI, 1.03-1.30). The hazard ratios for CSS similarly ranged from 1.34 to 1.22 for lowest to highest income. Older age, black race, male sex, unmarried marital status, an earlier year of diagnosis, higher tumor grade, and later American Joint Committee on Cancer stage of disease also were associated with worse CSS. Income was not found to be associated with the odds of initiating radiotherapy in multivariable analysis (odds ratio of 0.87 for lowest to highest income level; 95% CI, 0.63-1.20).

CONCLUSIONS

MHI appears to independently predict CSS and overall survival in patients with SCCA. Black race was found to remain a predictor of SCCA survival despite controlling for income. Further study is needed to understand the mechanisms by which socioeconomic inequalities affect cancer care and outcomes. Cancer 2018;124:1791-7. © 2018 American Cancer Society.

Marital status is an independent prognostic factor for tracheal cancer patients: an analysis of the SEER database

BACKGROUND

Although marital status is an independent prognostic factor in many cancers, its prognostic impact on tracheal cancer has not yet been determined. The goal of this study was to examine the relationship between marital status and survival in patients with tracheal cancer.

RESULTS

Compared with unmarried patients (42.67%), married patients (57.33%) had better 5-year OS (25.64% vs. 35.89%, p = 0.009) and 5-year TCSS (44.58% vs. 58.75%, p = 0.004). Results of multivariate analysis indicated that marital status is an independent prognostic factor, with married patients showing better OS (hazard ratio [HR] = 0.78, 95% confidence interval [CI] 0.64-0.95, p = 0.015) and TCSS (HR = 0.70, 95% CI 0.54-0.91, p = 0.008). In addition, subgroup analysis suggested that marital status plays a more important role in the TCSS of patients with non-low-grade malignant tumors (HR = 0.71, 95% CI 0.53-0.93, p = 0.015).

METHODS

We extracted 600 cases from the Surveillance, Epidemiology, and End Results (SEER) database. Variables were compared by Pearson chi-squared test, t-test, log-rank test, and multivariate Cox regression analysis. Overall survival (OS) and tracheal cancer-specific survival (TCSS) were compared between subgroups with different pathologic features and tumor stages.

CONCLUSIONS

Marital status is an independent prognostic factor for survival in patients with tracheal cancer. For that reason, additional social support may be needed for unmarried patients, especially those with non-low-grade malignant tumors.

Survival inequalities in patients with lung cancer in France: A nationwide cohort study (the TERRITOIRE Study)

The French healthcare system is a universal healthcare system with no financial barrier to access to health services and cancer drugs. The objective of the study is to investigate associations between, on the one hand, incidence and survival of patients diagnosed with lung cancer in France and, on the other, the socioeconomic deprivation and population density of their municipality of residence. A national, longitudinal analysis using data from the French National Hospital database crossed with the population density of the municipality and a social deprivation index based on census data aggregated at the municipality level. For lung cancer diagnosed at the metastatic stage, one-year and two-year survival was not associated with the population density of the municipality of residence. In contrast, mortality was higher for people living in very deprived, deprived and privileged areas compared to very privileged areas (hazard ratios at two years: 1.19 [1.13–1.25], 1.14 [1.08–1.20] and 1.10 [1.04–1.16] respectively). Similar associations are also observed in patients diagnosed with non-metastatic disease (hazard ratios at two years: 1.21 [1.13–1.30], 1.15 [1.08–1.23] and 1.10 [1.03–1.18] for people living in very deprived, deprived and privileged areas compared to very privileged areas). Despite a universal healthcare coverage, survival inequalities in patients with lung cancer can be observed in France with respect to certain socioeconomic indicators.

County-level cumulative environmental quality associated with cancer incidence

BACKGROUND

Individual environmental exposures are associated with cancer development; however, environmental exposures occur simultaneously. The Environmental Quality Index (EQI) is a county-level measure of cumulative environmental exposures that occur in 5 domains.

METHODS

The EQI was linked to county-level annual age-adjusted cancer incidence rates from the Surveillance, Epidemiology, and End Results (SEER) Program state cancer profiles. All-site cancer and the top 3 site-specific cancers for male and female subjects were considered. Incident rate differences (IRDs; annual rate difference per 100,000 persons) and 95% confidence intervals (CIs) were estimated using fixed-slope, random intercept multilevel linear regression models. Associations were assessed with domain-specific indices and analyses were stratified by rural/urban status.

RESULTS

Comparing the highest quintile/poorest environmental quality with the lowest quintile/best environmental quality for overall EQI, all-site county-level cancer incidence rate was positively associated with poor environmental quality overall (IRD, 38.55; 95% CI, 29.57-47.53) and for male (IRD, 32.60; 95% CI, 16.28-48.91) and female (IRD, 30.34; 95% CI, 20.47-40.21) subjects, indicating a potential increase in cancer incidence with decreasing environmental quality. Rural/urban stratified models demonstrated positive associations comparing the highest with the lowest quintiles for all strata, except the thinly populated/rural stratum and in the metropolitan/urbanized stratum. Prostate and breast cancer demonstrated the strongest positive associations with poor environmental quality.

CONCLUSION

We observed strong positive associations between the EQI and all-site cancer incidence rates, and associations differed by rural/urban status and environmental domain. Research focusing on single environmental exposures in cancer development may not address the broader environmental context in which cancers develop, and future research should address cumulative environmental exposures. Cancer 2017;123:2901-8. © 2017 American Cancer Society.

County-level cumulative environmental quality associated with cancer incidence

BACKGROUND

Individual environmental exposures are associated with cancer development; however, environmental exposures occur simultaneously. The Environmental Quality Index (EQI) is a county-level measure of cumulative environmental exposures that occur in 5 domains.

METHODS

The EQI was linked to county-level annual age-adjusted cancer incidence rates from the Surveillance, Epidemiology, and End Results (SEER) Program state cancer profiles. All-site cancer and the top 3 site-specific cancers for male and female subjects were considered. Incident rate differences (IRDs; annual rate difference per 100,000 persons) and 95% confidence intervals (CIs) were estimated using fixed-slope, random intercept multilevel linear regression models. Associations were assessed with domain-specific indices and analyses were stratified by rural/urban status.

RESULTS

Comparing the highest quintile/poorest environmental quality with the lowest quintile/best environmental quality for overall EQI, all-site county-level cancer incidence rate was positively associated with poor environmental quality overall (IRD, 38.55; 95% CI, 29.57-47.53) and for male (IRD, 32.60; 95% CI, 16.28-48.91) and female (IRD, 30.34; 95% CI, 20.47-40.21) subjects, indicating a potential increase in cancer incidence with decreasing environmental quality. Rural/urban stratified models demonstrated positive associations comparing the highest with the lowest quintiles for all strata, except the thinly populated/rural stratum and in the metropolitan/urbanized stratum. Prostate and breast cancer demonstrated the strongest positive associations with poor environmental quality.

CONCLUSION

We observed strong positive associations between the EQI and all-site cancer incidence rates, and associations differed by rural/urban status and environmental domain. Research focusing on single environmental exposures in cancer development may not address the broader environmental context in which cancers develop, and future research should address cumulative environmental exposures. Cancer 2017;123:2901-8. © 2017 American Cancer Society.

The Effects of Residential Segregation and Neighborhood Characteristics on Surgery and Survival in Patients with Early-Stage Non-Small Cell Lung Cancer

BACKGROUND

Although the negative effects of lower socioeconomic status on non-small cell lung cancer (NSCLC) treatment and survival have been widely studied, the impact of residential segregation on prognosis and the receipt of treatment has yet to be determined.

METHODS

This is a retrospective, cohort study of NSCLC patients in Georgia (2000-2009; n = 8,322) using data from the Georgia Comprehensive Cancer Registry. The effects of segregation, economic deprivation, and combined segregation/deprivation on the odds of receiving surgery were examined in separate multilevel models. To determine the association for the exposures of interest on the risk of death for different racial groups, separate multilevel survival models were conducted for black and white patients.

RESULTS

Living in areas with the highest [AOR = 0.35, 95% confidence interval (CI), 0.19-0.64] and second highest (AOR = 0.37, 95% CI, 0.20-0.68) levels of segregation was associated with decreased odds of receipt of surgery. Black patients living in areas with high residential segregation and high economic deprivation were 31% (95% CI, 1.04-1.66) more likely to die, even after surgery was controlled for. For white patients, economic deprivation was associated with decreased odds of surgery but not survival. Segregation had no effect.

CONCLUSION

Our findings suggest how black and white individuals experience segregation and area-level poverty is likely different leading to differences in adverse health outcomes.

IMPACT

Identifying neighborhood characteristics impacting health outcomes within different racial groups could help reduce health disparities across racial groups by implementing targeted policies and interventions. Cancer Epidemiol Biomarkers Prev; 25(5); 750-8. ©2016 AACR.

Treatment of Lung Cancer in Medically Compromised Patients

Outcomes for patients with lung cancer have been improved substantially through the integration of surgery, radiation, and systemic therapy for patients with early-stage disease. Meanwhile, advances in our understanding of molecular mechanisms have substantially advanced our treatment of patients with advanced lung cancer through the introduction of targeted therapies, immune approaches, improvements in chemotherapy, and better supportive care. However, the majority of these advances have occurred among patients with good functional status, normal organ function, and with the social and economic support systems to be able to benefit most from these treatments. The aim of this article is to bring greater attention to management of lung cancer in patients who are medically compromised, which remains a major barrier to care delivery. Impaired performance status is associated with poor outcomes and correlates with the high prevalence of cachexia among patients with advanced lung cancer. CT imaging is emerging as a research tool to quantify muscle loss in patients with cancer, and new therapeutics are on the horizon that may provide important adjunctive therapy in the future. The benefits of cancer therapy for patients with organ failure are poorly understood because of their exclusion from clinical trials. The availability of targeted therapy and immunotherapy may provide alternatives that may be easier to deliver in this population, but clinical trials of these new agents in this population are vital. Patients with lower socioeconomic status are disproportionately affected by lung cancer because of higher rates of tobacco addiction and the impact of socioeconomic status on delay in diagnosis, treatment, and outcomes. For all patients who are medically compromised with lung cancer, multidisciplinary approaches are particularly needed to evaluate these patients and to incorporate rapidly changing therapeutics to improve outcomes.

Impact of Socioeconomic Status on Timing of Relapse and Overall Survival for Children Treated on Dana-Farber Cancer Institute ALL Consortium Protocols (2000-2010)

BACKGROUND

Population-based evidence suggests that lower socioeconomic status (SES) negatively impacts the overall survival (OS) of children with leukemia; however, the relationships between SES and treatment-related mortality, relapse, and timing of relapse remain unclear.

PROCEDURE

We examined OS, event-free survival (EFS) and cumulative incidence (CI) and timing of relapse by community-level poverty for 575 children aged 1-18 years with newly diagnosed acute lymphoblastic leukemia (ALL) treated on consecutive phase III multicenter Dana-Farber Cancer Institute ALL Consortium Protocols between 2000 and 2010. Children were categorized into high- and low-poverty areas for the analysis using aggregate U.S. Census data linked to zip code.

RESULTS

Children living in high-poverty areas experienced a 5-year OS of 85% as compared with 92% for those in low-poverty areas (P = 0.02); poverty remained marginally significant (P = 0.07) after adjustment for immunophenotype, age, and white blood cell count. There were no differences detected in EFS or CI relapse by poverty area. However, 92% of the relapses observed in children from high-poverty areas occurred <36 months from complete remission, compared to 48% of those in children from low-poverty areas (P = 0.008).

CONCLUSIONS

U.S. children with ALL living in high-poverty areas have a higher risk of early relapse when compared with those living in low-poverty areas despite uniform treatment. This may in part explain decreased OS observed in these children. This finding highlights disparities in childhood cancer outcomes by SES despite uniform treatment. Further investigations of the mechanistic pathways underlying this finding are needed.

Systemic Therapy for Stage IV Non-Small-Cell Lung Cancer: American Society of Clinical Oncology Clinical Practice Guideline Update

PURPOSE

To provide evidence-based recommendations to update the American Society of Clinical Oncology guideline on systemic therapy for stage IV non-small-cell lung cancer (NSCLC).

METHODS

An Update Committee of the American Society of Clinical Oncology NSCLC Expert Panel based recommendations on a systematic review of randomized controlled trials from January 2007 to February 2014.

RESULTS

This guideline update reflects changes in evidence since the previous guideline.

RECOMMENDATIONS

There is no cure for patients with stage IV NSCLC. For patients with performance status (PS) 0 to 1 (and appropriate patient cases with PS 2) and without an EGFR-sensitizing mutation or ALK gene rearrangement, combination cytotoxic chemotherapy is recommended, guided by histology, with early concurrent palliative care. Recommendations for patients in the first-line setting include platinum-doublet therapy for those with PS 0 to 1 (bevacizumab may be added to carboplatin plus paclitaxel if no contraindications); combination or single-agent chemotherapy or palliative care alone for those with PS 2; afatinib, erlotinib, or gefitinib for those with sensitizing EGFR mutations; crizotinib for those with ALK or ROS1 gene rearrangement; and following first-line recommendations or using platinum plus etoposide for those with large-cell neuroendocrine carcinoma. Maintenance therapy includes pemetrexed continuation for patients with stable disease or response to first-line pemetrexed-containing regimens, alternative chemotherapy, or a chemotherapy break. In the second-line setting, recommendations include docetaxel, erlotinib, gefitinib, or pemetrexed for patients with nonsquamous cell carcinoma; docetaxel, erlotinib, or gefitinib for those with squamous cell carcinoma; and chemotherapy or ceritinib for those with ALK rearrangement who experience progression after crizotinib. In the third-line setting, for patients who have not received erlotinib or gefitinib, treatment with erlotinib is recommended. There are insufficient data to recommend routine third-line cytotoxic therapy. Decisions regarding systemic therapy should not be made based on age alone. Additional information can be found at http://www.asco.org/guidelines/nsclc and http://www.asco.org/guidelineswiki.

Socioeconomic position and survival after lung cancer: Influence of stage, treatment and comorbidity among Danish patients with lung cancer diagnosed in 2004-2010

BACKGROUND

To address social inequality in survival after lung cancer, it is important to consider how socioeconomic position (SEP) influences prognosis. We investigated whether SEP influenced receipt of first-line treatment and whether socioeconomic differences in survival could be explained by differences in stage, treatment and comorbidity.

MATERIAL AND METHODS

In the Danish Lung Cancer Register, we identified 13 045 patients with lung cancer diagnosed in 2004-2010, with information on stage, histology, performance status and first-line treatment. We obtained age, gender, vital status, comorbid conditions and socioeconomic information (education, income and cohabitation status) from nationwide population-based registers. Associations between SEP and receipt of first-line treatment were analysed in multivariate logistic regression models and those with overall mortality in Cox regression models with stepwise inclusion of possible mediators.

RESULTS

For both low- and high-stage lung cancer, adjusted ORs for first-line treatment were reduced in patients with short education and low income, although the OR for education did not reach statistical significance in men with high-stage disease. Patients with high-stage disease who lived alone were less likely to receive first-line treatment. The socioeconomic difference in overall survival was partly explained by differences in stage, treatment and comorbidity, although some differences remained after adjustment. Among patients with high-stage disease, the hazard ratio (HR) for death of those with low income was 1.12 (95% CI 1.05-1.19) in comparison with those with high income. Among patients with low-stage disease, those who lived alone had a 14% higher risk for dying (95% CI 1.05-1.25) than those who lived with a partner. The differences in risk for death by SEP were greatest in the first six months after diagnosis.

CONCLUSION

Socioeconomic differences in survival after lung cancer are partly explained by social inequality in stage, first-line treatment and comorbidity. Efforts should be made to improve early diagnosis and adherence to first-line treatment recommendations among disadvantaged lung cancer patients.

Nonclinical Factors Associated with 30-Day Mortality after Lung Cancer Resection: An Analysis of 215,000 Patients Using the National Cancer Data Base

BACKGROUND

Clinical variables associated with 30-day mortality after lung cancer surgery are well known. However, the effects of nonclinical factors, including insurance coverage, household income, education, type of treatment center, and area of residence, on short-term survival are less appreciated. We studied the National Cancer Data Base, a joint endeavor of the Commission on Cancer of the American College of Surgeons and the American Cancer Society, to identify disparities in 30-day mortality after lung cancer resection based on these nonclinical factors.

STUDY DESIGN

We performed a retrospective cohort analysis of patients undergoing lung cancer resection from 2003 to 2011 using the National Cancer Data Base. Data were analyzed using a multivariable logistic regression model to identify risk factors for 30-day mortality.

RESULTS

During our study period, 215,645 patients underwent lung cancer resection. We found that clinical variables, such as age, sex, comorbidity, cancer stage, preoperative radiation, extent of resection, positive surgical margins, and tumor size were associated with 30-day mortality after resection. Nonclinical factors, including living in lower-income neighborhoods with a lesser proportion of high school graduates, and receiving cancer care at a nonacademic medical center were also independently associated with increased 30-day postoperative mortality.

CONCLUSIONS

This study represents the largest analysis of 30-day mortality for lung cancer resection to date from a generalizable national cohort. Our results demonstrate that, in addition to known clinical risk factors, several nonclinical factors are associated with increased 30-day mortality after lung cancer resection. These disparities require additional investigation to improve lung cancer patient outcomes.

Treatment and survival disparities in lung cancer: the effect of social environment and place of residence

OBJECTIVE

The purpose of this study was to measure the extent to which geographic residency status and the social environment are associated with disease stage at diagnosis, receipt of treatment, and five-year survival for patients diagnosed with non-small cell lung cancer (NSCLC).

METHODS AND MATERIALS

This study was a retrospective cohort study of the Georgia Comprehensive Cancer Registry (GCCR) for incident cases of NSCLC diagnosed in the state. Multilevel logistic models were employed for five outcome variables: unstaged and late stage disease at diagnosis; receipt of treatment (surgery, chemotherapy, and radiation); and survival following diagnosis. The social and geographical variables of interest were census tract (CT) poverty level, CT-level educational attainment, and CT-level geographic residency status.

RESULTS

Compared to urban residents, rural and suburban residents had increased odds of unstaged disease (suburban OR=1.23, 95% CI: 1.11-1.37; rural OR=1.63, 95% CI: 1.45-1.83). In this study, rural participants had lower odds of receiving radiotherapy (OR=0.89, 95% CI: 0.82-0.96) and chemotherapy (OR=0.92, 95% CI: 0.85-0.99). Living in CTs with lower educational levels was associated with decreasing odds of receiving both surgery (lowest educational level OR=0.67, 95% CI: 0.59-0.75) and chemotherapy (lowest educational level OR=0.74, 95% CI: 0.68-0.81). Living in areas with higher concentration of deprivation (high level of deprivation HR=1.04, 95% CI: 1.01-1.09) and lower levels of education (lowest educational level HR=1.12, 95% CI: 1.07-1.17) was associated with poorer survival. Rural residents did not show poorer survival when treatment was controlled and they even presented a lower risk of death for early stage disease (HR=0.90, 95% CI: 0.82-0.99).

CONCLUSION

This study concludes that where NSCLC patients live can, to some extent, explain treatment and prognostic disparities. Public health practitioners and policy makers should be cognizant of the importance of where people live and shift their efforts to improve lung cancer outcomes in rural areas and neighborhoods with concentrated poverty.

Impact of sociodemographic factors on the radiotherapeutic management of lung cancer: Results of a Quality Research in Radiation Oncology survey

PURPOSE

The objective of this study is to describe the impact of sociodemographic (SOC) factors on the management of lung cancer patients treated at radiation therapy facilities participating in the Quality Research in Radiation Oncology survey.

METHODS AND MATERIALS

A 2-stage stratified random sample of lung cancer patients treated in 2006 to 2007 at 45 facilities yielded 340 stage I-III non-small cell lung cancer (NSCLC) and 144 limited-stage small cell lung cancer (LS-SCLC) cases. Five SOC variables based on data from the 2000 US Census were analyzed for association with the following clinical factors: patients living in urban versus rural settings (U/R); median household income (AHI); % below poverty level (PPV); % unemployed (PUE); and % with college education (PCE).

RESULTS

The 340 NSCLC patients were stage I, 16%; stage II, 11%; stage III, 62%; stage unknown, 11%. Histologic subtypes were adenocarcinoma, 31.8%; squamous cell carcinoma, 35.3%; large cell carcinoma, 3.2%; and NSCLC NOS, 27.7%. The median age was 66 years. Median Karnofsky performance status (KPS) was 80. The 144 LS-SCLC had a median age of 63; 73 were male (50.7%). Median KPS was 80. Stereotactic body radiation therapy (SBRT) and modern imaging utilization was associated with treatment at facilities located in higher SOC regions. SBRT was employed in 46.8% stage I NSCLC patients treated in centers where %PUE was below median versus 14.8% in centers where %PUE was above median (P = .02). Four-dimensional computed tomography was utilized in 14.2% of patients treated in centers located in regions with %PPV below median versus 3.7% in centers located in regions with %PPV above median (P < .01). SCLC patients were more likely to receive all of their planned RT when treated at centers located in regions with lower PPV (95.0% vs 79.1%; P = .04).

CONCLUSIONS

SOC factors may impact use of modern treatment planning and delivery and multidisciplinary management of NSCLC and SCLC. These results may suggest an impact of these SOC factors on access to health care.

Stage-adjusted lung cancer survival does not differ between low-income Blacks and Whites

INTRODUCTION

Few lung cancer studies have focused on lung cancer survival in underserved populations. We conducted a prospective cohort study among 81,697 racially diverse and medically underserved adults enrolled in the Southern Community Cohort Study throughout an 11-state area of the Southeast from March 2002 to September 2009.

METHODS

Using linkages with state cancer registries, we identified 501 incident non-small-cell lung cancer cases. We applied Cox proportional hazards models to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for subsequent mortality among black and white participants.

RESULTS

The mean observed follow-up time (the time from diagnosis to death or end of follow-up) was 1.25 years (range, 0-8.3 years) and 75% (n = 376) of cases died during follow-up. More blacks were diagnosed at distant stage than whites (57 versus 45%; p = 0.03). In multivariable analyses adjusted for pack-years of smoking, age, body mass index, health insurance, socioeconomic status and disease stage, the lung cancer mortality HR was higher for men versus women (HR = 1.41; 95% CI, 1.09-1.81) but similar for blacks versus whites (HR = 0.99; 95% CI, 0.74-1.32).

CONCLUSION

These findings suggest that although proportionally more blacks present with distant-stage disease there is no difference in stage-adjusted lung cancer mortality between blacks and whites of similar low socioeconomic status.

A population-based study of hospital length of stay and emergency readmission following surgery for non-small-cell lung cancer

OBJECTIVES

We conducted a population-based analysis of time trends in length of stay (LOS), predictors of prolonged LOS and emergency readmission following resection for non-small-cell lung cancer (NSCLC).

METHODS

Incident lung cancers (ICDO2:C34), diagnosed between 2002 and 2008, were identified from the National Cancer Registry (NCR) of Ireland, and linked to hospital in-patient episodes (HIPE). For those with NSCLC who underwent lung resection, the associated hospital episode was identified. Factors predicting longer LOS (upper quartile, >20 days), and emergency readmission within 28 days of the index procedure (IP) were investigated using Poisson regression.

RESULTS

A total of 1284 patients underwent resection. Eighty-four (7%) subsequently died in hospital and 1200 (93%) were discharged. Hundred and nineteen of 1200 (10%) were readmitted as an emergency within 28 days of discharge. Median LOS after the IP was 13 days (inter-decile range: 7-35). Risk of prolonged LOS was significantly greater in patients >75 years, resident in an area of highest deprivation, with 2+ comorbidities, who had undergone surgery in a lower-volume hospital, and died in hospital subsequent to the IP. Emergency readmission was significantly more likely in patients who were resident in an area of highest deprivation, with 2+ comorbidities, and had Stage III disease or worse. The main reasons for emergency readmission were: pulmonary complications (29%), cardio/cerebrovascular events (21%) or infection (20%).

CONCLUSIONS

Half of the patients had a LOS in excess of 13 days, which was longer than any other country with published data. Patient and health-service factors were associated with prolonged LOS, while patient and tumour characteristics were associated with risk of emergency readmission. Deprivation was a conspicuous determinant of both LOS and readmission.