Racial differences in the treatment of early-stage lung cancer

[Safety and Effectiveness Analysis of Percutaneous Microwave Thermal Ablation Therapy Combined Brachytherapy for Lung Malignant Lesion]

背景与目的

粒子植入治疗及微波消融治疗是无法手术的中晚期肺癌及肺转移瘤患者的一种可行治疗方式，然而两种治疗方式联合应用的治疗效果及安全性报道较少，本研究评估粒子植入治疗联合计算机断层扫描（computed tomography, CT）引导下经皮穿刺微波消融治疗中晚期肺癌及肺转移瘤的临床效果及安全性。

方法

回顾性分析本中心2018年5月-2018年12月接收的21例中晚期肺癌及肺转移瘤患者的临床资料，按照临床治疗方案分为两组，其中行粒子植入治疗的作为对照组，将粒子植入治疗联合CT引导下微波消融治疗的作为实验组，比较两组的患者的近期疗效及操作的安全性。

结果

实验组的有效率为28.57%，对照组的有效率为14.28%，两组患者不良反应发生率差异无显著性（P > 0.05）。

结论

粒子植入治疗联合CT引导下经皮穿刺微波消融治疗中晚期肺癌及肺转移瘤的安全性可靠，近期疗效尚可。

Racial Differences in Do-Not-Resuscitate Orders among Pediatric Surgical Patients in the United States

Background: Very few studies have investigated the racial differences in do-not-resuscitate (DNR) orders in children, and these studies are limited to oncological cases. We aim to characterize the racial difference in DNR orders among U.S. pediatric surgical patients. Methods: We retrospectively evaluated the mortality of all children who underwent an inpatient surgery between 2012 and 2017 from the National Surgical Quality Improvement Program. We used log-binomial models to estimate the relative risk (RR) and 95% confidence interval (CI) of DNR use comparing white with African American (AA) children. To estimate the risk-adjusted difference in DNR orders, we controlled the analyses for age, prematurity status, emergent case status, American Society of Anesthesiologists class, year of operation, surgical specialty, and surgical complexity. Results: Between 2012 and 2017, a total of 276,917 children underwent inpatient surgery, of whom 0.8% (n = 1601) died within 30 days of operation. Of the 1601 mortality cases, we retained 1212 children who were of either AA (26.0%, n = 350) or white (63.9%, n = 862) race. Most children were neonates, had an American Society of Anesthesiologists class ≥4 (70.0%, n = 811), and developed one or more postoperative complications (68.7%, n = 833). Overall, AA children were more likely to be neonates at the time of surgery (42.0% vs. 40.3%, p < 0.001), to be premature (66.3% vs. 49.0%, p < 0.001), and develop one or more postoperative complications (73.7% vs. 66.7%, p = 0.017). White children were three times more likely to have a DNR order than their AA peers (adjusted RR: 3.01, 95% CI: 1.09-8.56, p = 0.044). Conclusion: Among pediatric surgical patients in the United States, children of white race were three times more likely to have a DNR order in place than their AA peers despite the latter being "sicker" and more likely to develop postoperative complications. The mechanisms underlying this racial difference deserve further elucidation to improve shared decision making and goal-concordant care.

Survival Outcomes of Treatment with Radiofrequency Ablation, Stereotactic Body Radiotherapy, or Sublobar Resection for Patients with Clinical Stage I Non-Small-Cell Lung Cancer: A Single-Center Evaluation

PURPOSE

To retrospectively compare the outcomes of radiofrequency (RF) ablation, stereotactic body radiotherapy (SBRT), and sublobar resection (SLR) in patients with stage I non-small-cell lung cancer (NSCLC) at a single center.

MATERIALS AND METHODS

Overall, 289 patients (38 RF ablation, 58 SBRT, and 193 SLR) were included. Kaplan-Meier curves were generated, multiple propensity score was estimated using a multinomial logistic regression model, and relationships between treatments and outcomes were assessed using a Cox proportional hazard model. Hazard ratios (HRs) for death from any cause and disease progression or death from any cause were examined by a crude model, an inverse probability of treatment weighting (IPTW) model, and an IPTW model adjusted for missing variables.

RESULTS

The 5-year overall and progression-free survival rates were 58.9% and 39.9%, respectively, for RF ablation; 42.0% and 34.9%, respectively, for SBRT; and 85.5% and 75.9%, respectively, for SLR. Significantly longer survival time and lower HR were observed for SLR than other treatments. However, after statistical adjustment, these relationships were not significant except for reduced HR of disease progression or death from any cause of SLR compared to RF ablation in the IPTW model. The median hospital stays for RF ablation, SBRT, and SLR were 6.5, 6, and 16 days, respectively. Adverse events of grade 3 or higher occurred only in 11 SLR cases.

CONCLUSIONS

SLR achieved the longest survival. However, after statistical adjustment, there were no significant outcome differences among RF ablation, SBRT, and SLR, except for 1 model. RF ablation or SBRT may be alternative treatments for selected patients with early-stage NSCLC.

Rurality, Stage-Stratified Use of Treatment Modalities, and Survival of Non-small Cell Lung Cancer

BACKGROUND

To eliminate them, non-small cell lung cancer (NSCLC) care and outcome disparities need to be better understood.

RESEARCH QUESTION

How does rurality interact with NSCLC care and outcome disparities?

STUDY DESIGN AND METHODS

We examined guideline-concordant use of active treatment for NSCLC across five institutions in one community-based health care system spanning 44% of the Delta Regional Authority catchment area from 2011 to 2017. Institution- and patient-level rurality were based on Rural-Urban Commuting Area codes. Chi-squared, F-tests, and logistic regressions were used to analyze differences across institutions and rurality; survival was examined using log-rank tests and Cox regression.

RESULTS

Of 6,259 patients, 47% resided in rural areas; two of five institutions were rurally located and provided care for 20% of patients. Compared with rural residents at rural institutions, urban and rural residents attending urban institutions were more likely to receive stage-preferred treatment: OR 1.68 (95%CI, 1.44-1.96), and 1.33 (1.11-1.61), respectively, after adjusting for insurance, age, and clinical stage. Urban and rural residents attending urban institutions had a lower hazard of death compared with rural residents attending rural institutions: hazard ratio (HR) 0.69 (0.64-0.75) and 0.61 (0.55-0.67), respectively. Among recipients of stage-preferred treatment, care at urban institutions remained less hazardous: HR 0.7 (0.63-0.79). When further stratified by stage, care for late-stage patients at urban institutions remained less hazardous: HR 0.8 (0.71-0.91).

INTERPRETATION

Rurality-associated treatment and survival disparities were present at the patient and institution levels, but the institution-level disparity was greater. Rural residents receiving care at urban institutions had similar outcomes to urban residents receiving care at urban hospitals. To overcome rurality-associated NSCLC survival disparity, interventions should preferentially target the institution level, including expanding access to higher-quality guideline-concordant care.

Racial Disparities in Resection of Early Stage Non-Small Cell Lung Cancer: Variability Among Surgeons

BACKGROUND

Racial disparities in resection of non-small cell lung cancer (NSCLC) are well documented. Patient-level and system-level factors only partially explain these findings. Although physician-related factors have been suggested as mediators, empirical evidence for their contribution is limited.

OBJECTIVE

To determine if racial disparities in receipt of thoracic surgery persisted after patients had a surgical consultation and whether there was a physician contribution to disparities in care.

METHODS

The authors identified 19,624 patients with stage I-II NSCLC above 65 years of age from the Surveillance-Epidemiology and End-Results-Medicare database. They studied black and white patients evaluated by a surgeon within 6 months of diagnosis. They assessed for racial differences in resection rates among surgeons using hierarchical linear modeling. Our main outcome was receipt of NSCLC resection. A random intercept was included to test for variability in resection rates across surgeons. Interaction between patient race and the random surgeon intercept was used to evaluate for heterogeneity between surgeons in resection rates for black versus white patients.

RESULTS

After surgical consultation, black patients were less likely to undergo resection (adjusted odds ratio, 0.57; 95% confidence interval, 0.47-0.69). Resection rates varied significantly between surgeons (P<0.001). A significant interaction between the surgeon intercept and race (P<0.05) showed variability beyond chance across surgeons in resection rates of black versus white patients. When the model included thoracic surgery specifalization the physician contribution to disparities in care was decreased.

CONCLUSIONS

Racial disparities in resection of NSCLC exist even among patients who had access to a surgeon. Heterogeneity between surgeons in resection rates between black and white patients suggests a physician's contribution to observed racial disparities. Specialization in thoracic surgery attenuated this contribution.

Lung Cancer Surveillance After Definitive Curative-Intent Therapy: ASCO Guideline

PURPOSE

To provide evidence-based recommendations to practicing clinicians on radiographic imaging and biomarker surveillance strategies after definitive curative-intent therapy in patients with stage I-III non-small-cell lung cancer (NSCLC) and SCLC.

METHODS

ASCO convened an Expert Panel of medical oncology, thoracic surgery, radiation oncology, pulmonary, radiology, primary care, and advocacy experts to conduct a literature search, which included systematic reviews, meta-analyses, randomized controlled trials, and prospective and retrospective comparative observational studies published from 2000 through 2019. Outcomes of interest included survival, disease-free or recurrence-free survival, and quality of life. Expert Panel members used available evidence and informal consensus to develop evidence-based guideline recommendations.

RESULTS

The literature search identified 14 relevant studies to inform the evidence base for this guideline.

RECOMMENDATIONS

Patients should undergo surveillance imaging for recurrence every 6 months for 2 years and then annually for detection of new primary lung cancers. Chest computed tomography imaging is the optimal imaging modality for surveillance. Fluorodeoxyglucose positron emission tomography/computed tomography imaging should not be used as a surveillance tool. Surveillance imaging may not be offered to patients who are clinically unsuitable for or unwilling to accept further treatment. Age should not preclude surveillance imaging. Circulating biomarkers should not be used as a surveillance strategy for detection of recurrence. Brain magnetic resonance imaging should not be used for routine surveillance in stage I-III NSCLC but may be used every 3 months for the first year and every 6 months for the second year in patients with stage I-III small-cell lung cancer who have undergone curative-intent treatment.

Tracking the Nonenrolled: Lung Cancer Screening Patterns Among Individuals not Accrued to a Clinical Trial

INTRODUCTION

For lung cancer screening, the available data are often derived from patients enrolled prospectively in clinical trials. We, therefore, investigated lung cancer screening patterns among individuals eligible for, but not enrolled in, a screening trial.

PATIENTS AND METHODS

From February 2017 through February 2019, we enrolled subjects in a trial examining telephone-based navigation during low-dose computed tomography (LDCT) for lung cancer screening. We identified patients for whom LDCT was ordered and who were approached, but not enrolled, in the trial. We categorized nonenrollment as the patient had declined or could not be reached. We compared the characteristics and LDCT completion rates among these groups and the enrolled population using the 2-sample t test and χ² test.

RESULTS

Of 900 individuals approached for participation (mean age, 62 years; 45% women, 53% black), 447 were enrolled in the screening clinical trial. No significant demographic differences were found between the enrolled and nonenrolled cohorts. Of the 453 individuals not enrolled, 251 (55%) had declined participation and 202 (45%) could not be reached, despite up to 6 attempts. LDCT completion was significantly associated with enrollment status: 81% of enrolled individuals, 73% of individuals who declined participation, and 49% of those who could not be reached (P < .001).

CONCLUSIONS

In the present single-center study, demographic factors did not predict for participation in a lung cancer screening trial. Lung cancer screening adherence rates were substantially lower for those not enrolled in a screening trial, especially for those who could not be contacted. These findings may inform the broader implementation of screening programs.

Disparities in Receiving Guideline-Concordant Treatment for Lung Cancer in the United States

Rationale: The level of adherence to lung cancer treatment guidelines in the United States is unclear. In addition, it is unclear whether previously identified disparities by racial or ethnic group and by age persist across all clinical subgroups.Objectives: To assess the level of adherence to the minimal lung cancer treatment recommended by the National Comprehensive Cancer Network guidelines (guideline-concordant treatment) in the United States, and to assess the persistence of disparities by racial or ethnic group and by age across all clinical subgroups.Methods: We evaluated whether 441,812 lung cancer cases in the National Cancer Database diagnosed between 2010 and 2014 received guideline-concordant treatment. Logistic regression models were used to assess possible disparities in receiving guideline-concordant treatment by racial or ethnic group and by age across all clinical subgroups, and whether these persist after adjusting for patient, tumor, and health care provider characteristics.Results: Overall, 62.1% of subjects received guideline-concordant treatment (range across clinical subgroups = 50.4-76.3%). However, 21.6% received no treatment (range = 10.3-31.4%) and 16.3% received less intensive treatment than recommended (range = 6.4-21.6%). Among the most common less intensive treatments for all subgroups was "conventionally fractionated radiotherapy only" (range = 2.5-16.0%), as was "chemotherapy only" for nonmetastatic subgroups (range = 1.2-13.7%), and "conventionally fractionated radiotherapy and chemotherapy" for localized non-small-cell lung cancer (5.9%). Guideline-concordant treatment was less likely with increasing age, despite adjusting for relevant covariates (age ≥ 80 yr compared with <50 yr: adjusted odds ratio = 0.12, 95% confidence interval = 0.12-0.13). This disparity was present in all clinical subgroups. In addition, non-Hispanic black patients were less likely to receive guideline-concordant treatment than non-Hispanic white patients (adjusted odds ratio = 0.78, 95% confidence interval = 0.76-0.80). This disparity was present in all clinical subgroups, although statistically nonsignificant for extensive disease small-cell lung cancer.Conclusions: Between 2010 and 2014, many patients with lung cancer in the United States received no treatment or less intensive treatment than recommended. Particularly, elderly patients with lung cancer and non-Hispanic black patients are less likely to receive guideline-concordant treatment. Patterns of care among those receiving less intensive treatment than recommended suggest room for improved uptake of treatments such as stereotactic body radiation therapy for subjects with localized non-small-cell lung cancer.

Disparities in Guideline-Concordant Treatment for Pathologic N1 Non-Small Cell Lung Cancer

BACKGROUND

Socioeconomic status (SES) disparities in the surgical management of patients with non-small cell lung cancer (NSCLC) are well described. Disparities in the receipt of adjuvant chemotherapy are poorly understood. We assessed the influence of SES on adjuvant chemotherapy after resection in patients with pN1 NSCLC.

METHODS

The National Cancer Database was queried for cN0/N1 NSCLC patients who underwent surgical resection and had demonstrated pN1 disease. This cohort was further divided into those who received multiagent adjuvant chemotherapy (MAAC) vs surgery-only treatment. Factors associated with treatment assignment were examined, and long-term survival was compared.

RESULTS

Of the 14,892 patients who underwent resection for pN1 disease, 8061 (54.1%) received MAAC. Patients were less likely to receive MAAC if they resided in rural areas (odds ratio, 1.23; 95% confidence interval [CI], 1.11-1.37; P < .001), or were uninsured or on Medicaid (odds ratio, 1.23; 95% CI, 1.07-1.41; P = .004). The propensity score-weighted 5-year survival was significantly higher for those receiving MAAC compared with surgery only (53.6% vs 39.5%, log-rank P < .001). Lower income (hazard ratio, 1.06; 95% CI, 1.00-1.12; P = .044) and uninsured or Medicaid insurance status (hazard ratio, 1.22; 95% CI, 1.13-1.31; P < .001) were independently associated with increased mortality by Cox regression in the propensity score-weighted cohort.

CONCLUSIONS

pN1 NSCLC patients living in rural areas or who are uninsured or on Medicaid insurance are at increased risk of not receiving MAAC. Treatment with MAAC significantly improves long-term survival of pN1 patients. Efforts should be made to ensure these at-risk groups receive guideline-concordant care.

A Competing Risk Analysis Study of Prognosis in Patients with Esophageal Carcinoma 2006-2015 Using Data from the Surveillance, Epidemiology, and End Results (SEER) Database

Background

Competing risk analysis determines the probability of survival and considers competing events. This retrospective study aimed to undertake a competing risk analysis of prognosis in patients with esophageal carcinoma between 2006–2015 using data from the Surveillance, Epidemiology, and End Results (SEER) database.

Material/Methods

Clinicopathological, demographic, and survival data were analyzed for patients with esophageal carcinoma registered in the SEER database between 2006–2015. The competing risk model calculated the cumulative incidence function (CIF) of events of interest and prognosis. The Cox proportional-hazards model and the cause-specific hazard function (CS) were used to generalize the hazard function for competing risks. The Fine-Gray model was used for multivariate analysis. More accurate prognostic factors were analyzed by comparing the hazard ratio (HR) values between groups.

Results

There were 14,695 patients identified with esophageal carcinoma, 9,621 died from esophageal carcinoma, and 1,251 patients died from other causes. The cumulative incidence of events of interest was significant for age at diagnosis, race, primary tumor site, grade, stage, and treatment with surgery, radiotherapy, and chemotherapy (P<0.001). Multivariate analysis showed that age at diagnosis, primary tumor site, grade, stage, and treatment with surgery, radiotherapy, and chemotherapy statuses were independent prognostic factors (P<0.05). The Fine-Gray and the CS model showed that grade, stage, and treatments with surgery, radiotherapy, and chemotherapy were significant independent prognostic factors (P<0.05).

Conclusions

A competing risk model used data from the SEER database to obtain a more accurate estimate of the CIF of esophageal carcinoma-specific mortality and prognostic factors.

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.

Strategies for Tumor Hypoxia Imaging Based on Aggregation-Induced Emission Fluorogens

Hypoxia, as a crucial characteristic of cancer, has become an extremely significant direction for researchers to construct fluorescent probes for early diagnosis of tumors. Aggregation-induced emission fluorogens (AIEgens) possess many superior properties to those of conventional fluorophores due to aggregation-induced emission (AIE) features, such as a linear concentration-dependent increase in brightness, remarkable resistance to photobleaching, and the long-term tracking and imaging of cells. Constructing hypoxic response AIEgen-based probes will be very useful for the early diagnosis of tumors. Herein, several hypoxia-responsive probes based on AIEgens reported in the last three years are reported; these examples may lead to the construction of hypoxia-responsive AIE probes used for tumor hypoxia imaging in the future. In addition, typical, conventional hypoxia-responsive bioprobes are presented to further understand hypoxia-responsive fluorescent probes based on AIEgens.

Racial Differences in Treatment and Survival among Veterans and Non-Veterans with Stage I NSCLC: An Evaluation of Veterans Affairs and SEER-Medicare Populations

BACKGROUND

Surgery is the preferred treatment for stage I non-small cell lung cancer (NSCLC), with radiation reserved for those not receiving surgery. Previous studies have shown lower rates of surgery among Blacks with stage I NSCLC than among Whites.

METHODS

Black and White men ages ≥65 years with stage I NSCLC diagnosed between 2001 and 2009 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare database and Veterans Affairs (VA) cancer registry. Logistic regression and Cox proportional hazards models were used to examine associations between race, treatment, and survival.

RESULTS

Among the patients in the VA (n = 7,895) and SEER (n = 8,744), the proportion of Blacks was 13% and 7%, respectively. Overall, 16.2% of SEER patients (15.4% of Whites, 26.0% of Blacks) and 24.5% of VA patients received no treatment (23.4% of Whites, 31.4% of Blacks). In both cohorts, Blacks were less likely to receive any treatment compared with Whites [ORadj = 0.57; 95% confidence interval (CI), 0.47-0.69 for SEER-Medicare; ORadj = 0.68; 95% CI, 0.58-0.79 for VA]. Among treated patients, Blacks were less likely than Whites to receive surgery only (ORadj = 0.57; 95% CI, 0.47-0.70 for SEER-Medicare; ORadj = 0.73; 95% CI, 0.62-0.86 for VA), but more likely to receive chemotherapy only and radiation only. There were no racial differences in survival.

CONCLUSIONS

Among VA and SEER-Medicare patients, Blacks were less likely to get surgical treatment. Blacks and Whites had similar survival outcomes when accounting for treatment.

IMPACT

This supports the hypothesis that equal treatment correlates with equal outcomes and emphasizes the need to understand multilevel predictors of lung cancer treatment disparities.

County-Level Variations in Receipt of Surgery for Early-Stage Non-small Cell Lung Cancer in the United States

BACKGROUND

Although counties are the smallest geographic level for comprehensive health-care delivery analysis, little is known about county-level variations in receipt of curative-intent surgery for early-stage non-small cell lung cancer (NSCLC) and factors contributing to such variations in the United States.

METHODS

A total of 179,189 patients aged ≥ 35 years who were diagnosed with stage I to II NSCLC between 2007 and 2014 in 2,263 counties were identified from 39 states, the District of Columbia, and Detroit population-based cancer registries; the data were compiled by the North American Association of Central Cancer Registries. The percentage of patients who underwent surgery was calculated for each county with ≥ 20 cases. Adjusted risk ratios were generated by using generalized estimating equation models with modified Poisson regression.

RESULTS

Receipt of surgery for early-stage NSCLC during 2007 to 2014 according to county ranged from 12.8% to 48.6% in the lowest decile of counties, to 74.3% to 91.7% in the highest decile of counties. There were pockets of low surgery receipt rate counties within each state. For example, there was a 25% absolute difference between the lowest and highest surgery receipt rate counties in Massachusetts. Counties in the lowest quartile for receipt of surgery were those with a high proportion of non-Hispanic black subjects, high poverty and uninsured rates, low surgeon-to-population ratio, and nonmetropolitan status.

CONCLUSIONS

Receipt of curative-intent surgery for early-stage NSCLC varied substantially across counties in the United States, with pockets of low receipt counties in each state. Low surgery receipt counties were characterized by unfavorable area-level socioeconomic and health-care delivery factors.

Assessing the performance of the Asian/Pacific islander identification algorithm to infer Hmong ethnicity from electronic health records in California

OBJECTIVE

This study assesses the performance of the North American Association of Central Cancer Registries Asian/Pacific Islander Identification Algorithm (NAPIIA) to infer Hmong ethnicity.

DESIGN AND SETTING

Analyses of electronic health records (EHRs) from 1 January 2011 to 1 October 2015. The NAPIIA was applied to the EHR data, and self-reported Hmong ethnicity from a questionnaire was used as the gold standard. Sensitivity, specificity, positive (PPV) and negative predictive values (NPVs) were calculated comparing the source data ethnicity inferred by the algorithm with the self-reported ethnicity from the questionnaire.

PARTICIPANTS

EHRs indicating Hmong, Chinese, Vietnamese and Korean ethnicity who met the original study inclusion criteria were analysed.

RESULTS

The NAPIIA had a sensitivity of 78%, a specificity of 99.9%, a PPV of 96% and an NPV of 99%. The prevalence of Hmong population in the sample was 3.9%.

CONCLUSION

The high sensitivity of the NAPIIA indicates its effectiveness in detecting Hmong ethnicity. The applicability of the NAPIIA to a multitude of Asian subgroups can advance Asian health disparity research by enabling researchers to disaggregate Asian data and unmask health challenges of different Asian subgroups.

Endobronchial high-intensity ultrasound for thermal therapy of pulmonary malignancies: simulations with patient-specific lung models

Objective: This study investigates the feasibility of endobronchial ultrasound applicators for thermal ablation of lung tumors using acoustic and biothermal simulations.Methods: Endobronchial ultrasound applicators with planar (10 mm width) or tubular transducers (6 mm outer diameter (OD)) encapsulated by expandable coupling balloons (10 mm OD) are considered for treating tumors from within major airways; smaller catheter-based applicators with tubular transducers (1.7-4 mm OD) and coupling balloons (2.5-5 mm OD) are considered within deep lung airways. Parametric studies were applied to evaluate transducer configurations, tumor size and location, effects of acoustic reflection and absorption at tumor-lung parenchyma interfaces, and the utility of lung flooding for enhancing accessibility. Patient-specific anatomical lung models, with various geometries and locations of tumors, were developed for further evaluation of device performance and treatment strategies. Temperature and thermal dose distributions were calculated and reported.Results: Large endobronchial applicators with planar or tubular transducers (3-7 MHz, 5 min) can thermally ablate tumors attached to major bronchi at up to 3 cm depth, where reflection and attenuation of normal lung localize tumor heating; with lung flooding, endobronchial applicators can ablate ∼2 cm diameter tumors with up to ∼2 cm separation from the bronchial wall, without significant heating of intervening tissue. Smaller catheter-based tubular applicators can ablate tumors up to 2-3 cm in diameter from deep lung airways (5-9 MHz, 5 min).Conclusion: Simulations demonstrate the feasibility of endobronchial ultrasound applicators to deliver thermal coagulation of 2-3 cm diameter tumors adjacent to or accessible from major and deep lung airways.

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.

Relationship between West African ancestry with lung cancer risk and survival in African Americans

PURPOSE

African Americans, especially men, have a higher incidence of lung cancer compared with all other racial and ethnic groups in the US. Self-reported race is frequently used in genomic research studies to capture an individual's race or ethnicity. However, it is clear from studies of genetic admixture that human genetic variation does not segregate into the same biologically discrete categories as socially defined categories of race. Previous studies have suggested that the degree of West African ancestry among African Americans can contribute to cancer risk in this population, though few studies have addressed this question in lung cancer.

METHODS

Using a genetic ancestry panel of 100 SNPs, we estimated West African, European, and Native American ancestry in 1,407 self-described African Americans and 2,413 European Americans.

RESULTS

We found that increasing West African ancestry was associated with increased risk of lung cancer among African American men (ORQ5 vs Q1 = 2.55 (1.45-4.48), p = 0.001), while no association was observed in African American women (ORQ5 vs Q1 = 0.90 (0.51-1.59), p = 0.56). This relationship diminished following adjustment for income and education.

CONCLUSIONS

Genetic ancestry is not a major contributor to lung cancer risk or survival disparities.

Disparities in Pancreatic Cancer Treatment and Outcomes

Purpose: Pancreatic cancer remains a major health concern; in the next 2 years, it will become the second leading cause of cancer deaths in the United States. Health disparities in the treatment of pancreatic cancer exist across many disciplines, including race and ethnicity, socioeconomic status (SES), and insurance. This narrative review discusses what is known about these disparities, with the goal of highlighting targets for equity promoting interventions.

Methods: We performed a narrative review of health disparities in pancreatic cancer spanning greater than ten areas, including epidemiology, treatment, and outcome, using the PubMed NIH database from 2000 to 2019 in the Unites States.

Results: African Americans (AAs) tend to present at diagnosis with later stage disease. AAs and Hispanics have lower rates of surgical resection, are more likely to be treated at low volume hospitals, and often experience higher rates of morbidity and mortality compared to white patients, although control for confounders is often limited. Insurance and SES also factor into the delivery of treatment for pancreatic cancer.

Conclusion: Disparities by race and SES exist in the diagnosis and treatment of pancreatic cancer that are largely driven by race and SES. Improved understanding of underlying causes could inform interventions.

An Evaluation of Survival Curve Extrapolation Techniques Using Long-Term Observational Cancer Data

Objectives. Uncertainty in survival prediction beyond trial follow-up is highly influential in cost-effectiveness analyses of oncology products. This research provides an empirical evaluation of the accuracy of alternative methods and recommendations for their implementation. Methods. Mature (15-year) survival data were reconstructed from a published database study for “no treatment,” radiotherapy, surgery plus radiotherapy, and surgery in early stage non–small cell lung cancer in an elderly patient population. Censored data sets were created from these data to simulate immature trial data (for 1- to 10-year follow-up). A second data set with mature (9-year) survival data for no treatment was used to extrapolate the predictions from models fitted to the first data set. Six methodological approaches were used to fit models to the simulated data and extrapolate beyond trial follow-up. Model performance was evaluated by comparing the relative difference in mean survival estimates and the absolute error in the difference in mean survival v. the control with those from the original mature survival data set. Results. Model performance depended on the treatment comparison scenario. All models performed reasonably well when there was a small short-term treatment effect, with the Bayesian model coping better with shorter follow-up times. However, in other scenarios, the most flexible Bayesian model that could be estimated in practice appeared to fit the data less well than the models that used the external data separately. Where there was a large treatment effect (hazard ratio = 0.4), models that used external data separately performed best. Conclusions. Models that directly use mature external data can improve the accuracy of survival predictions. Recommendations on modeling strategies are made for different treatment benefit scenarios.

Testing a somatization hypothesis to explain the Black-White depression paradox

PURPOSE

Epidemiologic studies document a lower prevalence of major depression in Blacks than Whites in the United States. This is paradoxical from the perspective of social stress theory. A long-standing claim in the (clinical) literature is that Blacks express depression more somatically than Whites. If true, the diagnostic algorithm may undercount depression in Blacks, since the screening symptoms privilege the psychological rather than somatic dimensions of depression. We test hypotheses that (1) Blacks express depression more somatically than Whites which (2) reduces their likelihood of endorsing screening symptoms, thereby undercounting Blacks' depression and explaining the Black-White depression paradox.

METHODS

We use cross-sectional data collected in 1991-92 from the National Longitudinal Alcohol Epidemiologic Survey (n = 42,862) among Blacks and Whites endorsing at least one past-12-month depression symptom. We compare groups on depression somatization and test whether greater somatization in Blacks leads to lower endorsement of psychological screening symptoms, and therefore under-diagnosis.

RESULTS

Blacks have higher mean depression somatization scores than Whites (0.28, SE 0.04 vs. 0.15, SE 0.02), t(122) = - 2.15, p = 0.03. This difference is small and driven by Blacks' higher endorsement of 1 somatic symptom (weight/appetite change) and Whites' greater propensity to endorse psychological symptoms. However, Blacks have the same odds as Whites of endorsing screening symptoms, before and after adjusting for somatization.

CONCLUSIONS

We find minimal evidence that Blacks express depression more somatically than Whites. Furthermore, this small difference does not appear to inhibit endorsement of diagnostic depression screening symptoms among Blacks, and therefore does not resolve the Black-White depression paradox.

Socioeconomic Factors Associated with Lack of Treatment in Early Stage Non-Small Cell Lung Cancer

With modern radiotherapy, stage I non-small cell lung cancer (S1NSCLC) cure is extended to nonsurgical candidates. Despite this, some S1NSCLC remains untreated. We aim to identify factors associated with no treatment. 62,213 S1NSCLC cases were identified (SEER: 2004-2012). Demographics were compared using Chi-squared. Multivariate analysis was performed using COX proportional HR. 11.9% of the 7373 patients lacked treatment. No insurance, Medicaid-dependence, unmarried status, advancing age, lower income, African American and Asian/Pacific Islander race, and male sex are associated with no treatment (p < .0001). No treatment portends a worse cancer-specific survival (21% vs 66% at 5Y, p < .0001) and OS (10% vs 50% at 5Y, p < .0001).

The Effect of Socioeconomic Status on Treatment and Mortality in Non-Small Cell Lung Cancer Patients

BACKGROUND

Treatment decisions for patients with non-small cell lung cancer (NSCLC) are based on patient and tumor characteristics, including socioeconomic status (SES) factors. The objective was to assess the contribution of SES factors to treatment and outcomes among patients with stage I NSCLC.

METHODS

The National Cancer Database was queried for operable patients with stage I NSCLC. Patients were divided into three treatment groups: primary resection (ie, surgery only); nonstandard treatments consisting of chemotherapy with or without radiation; and no therapy. The SES of patients who made up the treatment groups was assessed, and the 5-year survival of all groups was analyzed.

RESULTS

The cohort included 69,168 patients with stage I NSCLC. Each of these patients had between zero and five SES risk factors. The factors associated with no surgery were low income, nonwhite race, low high school graduation rate, Medicaid or no insurance, rural residence, and distance less than 12.5 miles from treatment facility. Patients with several SES risk factors have linearly increasing odds of undergoing nonstandard treatments and quadratically increasing odds of having no therapy (for patients with five factors, to odds ratio 4.7; 95% confidence interval, 3.44 to 6.30). Surgery alone was associated with significantly longer 5-year survival (71.8%) compared with nonstandard treatments (22.7%) and no therapy (21.8%; P < .001).

CONCLUSIONS

Socioeconomic status factors increase the risk of undergoing guideline discordant therapy for stage I NSCLC. As the number of SES factors increases, the odds of no therapy rises quadratically whereas the odds of nonstandard treatments rises constantly. The surgery only group had significantly longer survival than the nonstandard treatment and no therapy groups.

CYFRA21-1 tests in the diagnosis of non-small cell lung cancer: A meta-analysis

OBJECTIVE

The aim of the study was to evaluate the diagnostic value of soluble fragment of cytokeratin 19 (CYFRA21-1) tests in detecting non-small cell lung cancer (NSCLC), including squamous cell carcinoma, lung adenocarcinoma, and large cell carcinoma.

METHODS

The relevant studies were identified from PubMed, Embase and the Cochrane Library before November 2018. Summary estimates for sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for the diagnosis of NSCLC were calculated using the random effects model. A summary receiver operating characteristic (SROC) curve was used to assess the overall effectiveness of the test. Meta-DiSc 1.4 and Stata11.0 were applied to the statistical analysis. Publication bias was detected using Egger's test.

RESULTS

A total of 22 studies consisting of 7910 NSCLC patients (squamous cell carcinoma/lung adenocarcinoma/large cell carcinoma) and 2630 benign lesions patients that met the inclusion criteria were included. The meta-analysis showed that CYFRA21-1 tests had a relatively high accuracy for squamous cell carcinoma detection and a lower accuracy for lung adenocarcinoma detection. The overall sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and diagnostic odds ratio of CYFRA21-1 tests for squamous cell carcinoma detection were 0.72 (95% confidence interval (CI) 0.70, 0.74), 0.94 (95% CI 0.92, 0.95), 9.73 (95% CI 7.06, 13.40), 0.37 (95% CI 0.29, 0.47), and 27.30 (95% CI 17.68, 42.16), respectively. The area under the SROC curve was 0.9171 (Q* = 0.8500). No publication bias was tested in the squamous cell carcinoma (P = 0.567) and lung adenocarcinoma (P = 0.378) groups.

CONCLUSIONS

CYFRA21-1 tests might be appropriate for detecting squamous cell carcinoma.

Racial Differences in Smoking-related Disease Risk Perceptions Among Adults Completing Lung Cancer Screening: Follow-up Results from the ACRIN/NLST Ancillary Study

Previous work suggests that, compared to white adults, black adults have lower perceived risk for smoking-related diseases (SRDs), which may influence cessation behavior and health outcomes; however, racial differences in SRD risk perceptions among high-risk patients (i.e., a group that exhibits elevated risk for SRDs) following lung screening remain unknown. This paper thus examined differences in risk perceptions for lung cancer and other SRDs among black and white National Lung Screening Trial (NLST) participants. We administered a 10-item measure of perceived lifetime risk of lung cancer and other SRD (Smoking Risk Perceptions Scale; SRPS) to NLST participants at 1 year following lung screening to (1) establish the internal consistency of the SRPS for both black and white participants, (2) compare smoking-related disease risk perceptions between black and white participants, and (3) identify predictors of risk perceptions for black and white participants using multivariable linear regression models. We determined the SRPS items loaded onto two factors (personal and comparative risks; Cronbach's alpha = 0.93 and 0.95 for 1743 white and 194 black participants, respectively), thus demonstrating high internal consistency for both black and white adults. Compared to white participants, black adults demonstrated lower SRD risk perceptions (SRPS range = 10-50, mean difference = 2.55, SE = 0.50, p < 0.001), even after adjusting for smoking status and sociodemographics. Younger age, female gender, higher education, white race, and current smoking status were independently associated with high risk perceptions. Sociodemographic factors associated with lower risk perceptions resemble factors related to continued smoking. Findings suggest current and former black smokers are at risk of having lower risk perceptions for lung cancer and SRDs than white adults following lung cancer screening; these differences may explain observed racial differences in cessation outcomes. Although similar factors influence black and white adults' beliefs, risk perceptions may differentially impact smoking behavior among these groups. Behavior change models that guide tobacco treatment approaches, particularly for high-risk black smokers, should consider the influence of cultural factors on risk perceptions and cessation efforts.

Lung Cancer in Nonelderly Patients: Facility and Patient Characteristics Associated With Not Receiving Treatment

Background: In elderly patients with lung cancer, race/ethnicity is associated with not receiving treatment; however, little attention has been given to nonelderly patients (aged ≤65 years) with a range of disease stages and histologies. Nonelderly patients with lung cancer have superior survival at NCI-designated Comprehensive Cancer Centers (CCCs), although the reasons remain unknown. Patients and Methods: A retrospective cohort study was conducted in 9,877 patients newly diagnosed with small cell or non–small cell lung cancer (all stages) between ages 22 and 65 years and reported to the Los Angeles County Cancer Surveillance Program registry between 1998 and 2008. Multivariable logistic regression examined factors associated with nontreatment. Results: In multivariable analysis, race/ethnicity was associated with not receiving cancer treatment (black: odds ratio [OR], 1.22; P=.004; Hispanic: OR, 1.17; P=.04), adjusting for patient age, sex, disease stage, histology, diagnosis year, distance to treatment facility, type of facility (CCC vs non-CCC), and insurance status. With inclusion of socioeconomic status (SES) in the model, the effect of race/ethnicity was no longer significant (black: OR, 1.02; P=.80; Hispanic: OR, 1.00; P=1.00). Factors independently associated with nontreatment included low SES (OR range, 1.37–2.15; P<.001), lack of private insurance (public: OR, 1.71; P<.001; uninsured: OR, 1.30; P<.001), and treatment facility (non-CCC: OR, 3.22; P<.001). Conclusions: In nonelderly patients with lung cancer, SES was associated with nontreatment, mitigating the effect of race/ethnicity. Patients were also at higher odds of nontreatment if they did not have private insurance or received cancer care at a non-CCC facility. These findings highlight the importance of understanding how both patient-level factors (eg, SES, insurance status) and facility-level factors (eg, treatment facility) serve as barriers to treatment of nonelderly patients with lung cancer.

Patterns of Care and Survival in Stage III NSCLC Among Black and Latino Patients Compared With White Patients

BACKGROUND

Race and socioeconomic status have continued to affect the survival and patterns of care of patients with non-small-cell lung cancer (NSCLC). However, data evaluating these associations in patients with stage III disease remain limited. Therefore, we investigated the patterns of care and overall survival (OS) of black and Latino patients with locally advanced NSCLC compared with white patients, using the National Cancer Database.

MATERIALS AND METHODS

All patients with stage III NSCLC from 2004 to 2013 who had undergone external beam radiotherapy (RT) alone, RT with chemotherapy (bimodality), or RT with chemotherapy followed by surgery (trimodality) were analyzed within the National Cancer Database according to race (n = 113,945). Univariate associations among the demographic, disease, and treatment characteristics within the 3 cohorts were assessed using χ2 tests. The OS between cohorts were analyzed using the log-rank test and multivariate Cox proportional hazards regression.

RESULTS

The black and Latino patients were younger at diagnosis, had lower median household incomes, and were less likely to be insured than were the white patients. The black patients were more likely to receive RT alone (19.3% vs. 18%; P < .001) and less likely to have undergone concurrent chemo-RT (53.6% vs. 56.1%; P < .001) compared with the white patients. Black patients had improved OS (P < .001). In contrast, the Latino patients had survival equivalent to that of the white patients (P = .920).

CONCLUSIONS

Despite epidemiologic differences and a propensity for less aggressive treatment, black patients with locally advanced NSCLC had better OS than white patients and Latino patients had equivalent outcomes. Additional research is needed to elucidate this finding, perhaps focusing on biological differences among the cohorts.

Treatment capacity required for full-scale implementation of lung cancer screening in the United States

BACKGROUND

Full-scale implementation of lung cancer screening in the United States will increase detection of early stages. This study was aimed at assessing the capacity required for treating those cancers.

METHODS

A well-established microsimulation model was extended with treatment data from the National Cancer Database. We assessed how treatment demand would change when implementing lung cancer screening in 2018. Three policies were assessed: 1) annual screening of current smokers and former smokers who quit fewer than 15 years ago, aged 55 to 80 years, with a smoking history of at least 30 pack-years (US Preventive Services Task Force [USPSTF] recommendations); 2) annual screening of current smokers and former smokers who quit fewer than 15 years ago, aged 55 to 77 years, with a smoking history of at least 30 pack-years (Centers for Medicare and Medicaid Services [CMS] recommendations); and 3) annual screening of current smokers and former smokers who quit fewer than 10 years ago, aged 55 to 75 years, with a smoking history of at least 40 pack-years (the most cost-effective policy in Ontario [Ontario]). The base-case screening adherence was a constant 50%. Sensitivity analyses assessed other adherence levels, including a linear buildup to 50% between 2018 and 2027.

RESULTS

The USPSTF policy would require 37.0% more lung cancer surgeries in 2015-2040 than no screening, 2.2% less radiotherapy, and 5.4% less chemotherapy; 5.7% more patients would require any therapy. The increase in surgical demand would be 96.1% in 2018, 46.0% in 2023, 38.3% in 2028, and 24.9% in 2040. Adherence strongly influenced results. By 2018, surgical demand would range from 52,619 (20% adherence) to 96,121 (80%). With a gradual buildup of adherence, the increase in surgical demand would be 9.6% in 2018, 38.3% in 2023, 42.0% in 2028, and 24.4% in 2040. Results for the CMS and Ontario policies were similar, although the changes in comparison with no screening were smaller.

CONCLUSIONS

Full-scale implementation of lung cancer screening causes a major increase in surgical demand, with a peak within the first 5 years. A gradual buildup of adherence can spread this peak over time. Careful surgical capacity planning is essential for successfully implementing screening.

Racial Disparities, Outcomes, and Surgical Utilization among Hispanics with Esophageal Cancer: A Surveillance, Epidemiology, and End Results Program Database Analysis

BACKGROUND

Hispanic patients with esophageal cancer (EC) have racially disparate survival outcomes compared with white patients.

OBJECTIVES

We explored the impact on survival of racial differences in socioeconomic factors, tumor characteristics, and rates of surgical utilization in patients with EC.

METHOD

Using the SEER (Surveillance, Epidemiology, and End Results) registry, we identified 22,531 cases of EC in Hispanic and white patients between the ages of 18 and 65 years in 2003-2014. Of these, 6,250 cases had locoregional EC. Patients were categorized according to age, gender, education, tumor grade, histology, primary tumor site, and surgical status. Postdiagnosis survival was examined over time and compared by race and stratified by surgical status.

RESULTS

Compared with whites, Hispanics with EC had significantly higher unadjusted mortality (hazard ratio [HR] 1.11; 95% confidence interval [CI] 1.06-1.17; p < 0.001) as did Hispanics with locoregional EC (HR 1.15; 95% CI 1.03-1.29; p = 0.01). In the multivariate analysis, several socioeconomic and tumor factors were found to be independently associated with survival by race, including county of residence income and prevalence of smoking, tumor grade, stage, and primary site, and surgical utilization. After adjusting for demographic and tumor characteristics, surgical utilization in patients with locoregional EC had a significant interaction with race on overall mortality (p = 0.01). Hispanics with locoregional EC were significantly less likely to receive surgery than whites (46 vs. 60%; p < 0.001) and not receiving surgery was associated with a significantly lower overall survival (HR 2.84; 95% CI 2.65-3.04; p < 0.001).

CONCLUSIONS

A lower rate of surgery among Hispanics with potentially resectable esophageal cancer was associated with a decreased survival rate when compared to whites, even when adjusting for relevant socioeconomic and tumor factors. These data support the need to better address patient barriers to surgical treatment and the systemic biases present in medical care.

Race, Poverty, and Initial Implementation of Precision Medicine for Lung Cancer

Data are limited regarding whether the availability of biomarker-directed therapy for lung cancer exacerbates racial and socioeconomic disparities. Patients diagnosed with stage IV lung adenocarcinoma from 2008 to 2013 were identified using Surveillance, Epidemiology, and End Results Program-Medicare. The primary outcome was a Medicare claim for molecular testing within 60 days of diagnosis, analyzed using multivariable logistic regression; the secondary outcome was overall survival, analyzed using multivariable Cox proportional hazards models. All statistical tests were two-sided. Of 5556 patients, 1437 (25.9%) had molecular testing. Testing rates were 14.1% among black, 26.2% among white, and 32.8% among patients of Asian/other descent (adjusted P < .001); 20.6% among patients with Medicaid eligibility vs 28.4% among those without (adjusted P = .01); and 19.9% among patients in the highest census tract-level poverty rate quintile vs 30.7% among patients in the lowest quintile (for all quintiles, adjusted P = .18). Median survival from 60 days was 8.2 months among patients with molecular testing within 60 days of diagnosis and 6.1 months among those without (hazard ratio = 0.92, 95% confidence interval = 0.86 to 0.99; adjusted P = .02). Equitable precision medicine requires concerted implementation efforts.

Socioeconomic Predictors of Surgical Resection and Survival for Patients With Osseous Spinal Neoplasms

OF BACKGROUND DATA

Primary osseous spinal neoplasms (POSNs) include locally aggressive tumors such as osteosarcoma, chondrosarcoma, Ewing sarcoma, and chordoma. For such tumors, surgical resection is associated with improved survival for patients. Socioeconomic predictors of receiving surgery, however, have not been studied.

OBJECTIVE

To examine the independent effect of race on receiving surgery and survival probability in patients with POSN.

STUDY DESIGN

A total of 1904 patients from the SEER program at the National Cancer Institute database, all diagnosed with POSN of the spinal cord, vertebral column, pelvis, or sacrum from 2003 through 2012 were included in the study. Race was reported as white or nonwhite. Treatment included receiving surgery and no surgery.

MATERIALS AND METHODS

Multivariable logistic regression was used to determine odds of receiving surgery based on race. Survival probability based on and race and surgery status was analyzed by Cox proportional hazards model and Kaplan-Meir curves. Results were adjusted for age at diagnosis, sex, socioeconomic status (composite index), tumor size, and tumor grade. Data were analyzed with SAS version 9.4.

RESULTS

The study found that white patients were significantly more likely to receive surgery (odds ratio=3.076, P<0.01). Furthermore, nonwhite race was associated with significantly shorter survival time [hazard ratio (HR)=1.744, P<0.05]. Receiving surgery was associated with improved overall survival (HR=2.486, P<0.01). After adjusting for receiving surgery, white race remained significantly associated with higher survival probability (HR=2.061, P<0.05).

CONCLUSIONS

This national study of patients with typically aggressive POSN found a significant correlation between race and the likelihood of receiving surgery. The study also found race to be a significant predictor of overall survival, regardless of receiving surgical treatment. These findings suggest an effect of race on receiving treatment and survival in patients with POSN, regardless of socioeconomic status. Further studies are required to understand reasons underlying these findings, and how they may be addressed.

A Multi-faceted Intervention Aimed at Black-White Disparities in the Treatment of Early Stage Cancers: The ACCURE Pragmatic Quality Improvement trial

BACKGROUND

Reports continue to show that Blacks with curable lung or breast cancer complete treatment less often than similar Whites contributing to worse survival. ACCURE is an intervention trial designed to address this problem.

PATIENTS AND METHODS

A pragmatic, quality improvement trial comparing an intervention group to retrospective and concurrent controls. Patients with early stage breast or lung cancer aged 18 to 85 were enrolled (N = 302) at 2 cancer centers between April 2013 and March 2015 for the intervention component. Data from patients seen between January 2007 and December 2012 with these diagnoses were obtained to establish control completion rates. Concurrent data for non-study patients were used to identify secular trends. The intervention included: a real time registry derived from electronic health records of participants to signal missed appointments or unmet care milestones, a navigator, and clinical feedback. The primary outcome was "Treatment Complete", a composite variable representing completion of surgery, recommended radiation and chemotherapy for each patient.

RESULTS

The mean age in the intervention group was 63.1 years; 37.1% of patients were Black. Treatment completion in retrospective and concurrent controls showed significant Black-White differences (Blacks (B) 79.8% vs. Whites (W) 87.3%, p < 0.001; 83.1% B vs. 90.1% W, p < 0.001, respectively). The disparity lessened within the intervention (B 88.4% and W 89.5%, p = 0.77). Multivariate analyses confirmed disparities reduction. OR for Black-White disparity within the intervention was 0.98 (95% CI 0.46-2.1); Black completion in the intervention compared favorably to Whites in retrospective (OR 1.6; 95% CI 0.90-2.9) and concurrent (OR 1.1; 95% CI 0.59-2.0) controls.

CONCLUSION

A real time registry combined with feedback and navigation improved completion of treatment for all breast and lung cancer patients and narrowed disparities. Similar multi-faceted interventions could mitigate disparities in the treatment of other cancers and chronic conditions.

Disparities in the surgical management of early stage non-small cell lung cancer: how far have we come?

It is currently estimated that nearly one-third of patients with newly diagnosed non-small cell lung cancer (NSCLC) have stage I-II disease on clinical evaluation. Curative-intent surgical resection has been a cornerstone of the therapeutic management of such patients, offering the best clinical and oncologic outcomes in the long-term. In 1999, Peter Bach and colleagues brought attention to racial disparities in the receipt of curative-intent surgery in the NSCLC population. In the time since this seminal study, there is accumulating evidence to suggest that disparities in the receipt of definitive surgery continue to persist for patients with early stage NSCLC. In this review, we sought to provide an up-to-date assessment of 20 years of surgical disparities literature in the NSCLC population. We summarized common and unrecognized disparities in the receipt of surgical resection for early stage NSCLC and demonstrated that demographic and socioeconomic factors such as race/ethnicity, special patient groups, income and insurance continue to impact the receipt of definitive resection. Additionally, we found that discrepancies in patient and provider perceptions of and attitudes toward surgery, access to invasive staging, distance to treatment centers and negative stigmas about lung cancer that patients experience may act to perpetuate disparities in surgical treatment of early stage lung cancer.

Enhancing the study of enhanced recovery after thoracic surgery: methodology and population-based approaches for the future

Achieving optimal outcomes following thoracic surgery requires a complex multidisciplinary effort spanning the entire peri-operative period. Enhanced recovery after surgery (ERAS) protocols aim to codify essential elements in care across all perioperative settings. As thoracic surgeons have begun to embrace ERAS, identification of optimal protocol elements and novel study endpoints is necessary. In this review we will briefly review the current available evidence for ERAS in thoracic surgery, while focusing on study methods and design. We will discuss methodology for future studies and how a population-based approach can improve the current level of evidence supporting broad implementation of ERAS to thoracic surgery.

A system-based intervention to reduce Black-White disparities in the treatment of early stage lung cancer: A pragmatic trial at five cancer centers

BACKGROUND

Advances in early diagnosis and curative treatment have reduced high mortality rates associated with non-small cell lung cancer. However, racial disparity in survival persists partly because Black patients receive less curative treatment than White patients.

METHODS

We performed a 5-year pragmatic, trial at five cancer centers using a system-based intervention. Patients diagnosed with early stage lung cancer, aged 18-85 were eligible. Intervention components included: (1) a real-time warning system derived from electronic health records, (2) race-specific feedback to clinical teams on treatment completion rates, and (3) a nurse navigator. Consented patients were compared to retrospective and concurrent controls. The primary outcome was receipt of curative treatment.

RESULTS

There were 2841 early stage lung cancer patients (16% Black) in the retrospective group and 360 (32% Black) in the intervention group. For the retrospective baseline, crude treatment rates were 78% for White patients vs 69% for Black patients (P < 0.001); difference by race was confirmed by a model adjusted for age, treatment site, cancer stage, gender, comorbid illness, and income-odds ratio (OR) 0.66 for Black patients (95% CI 0.51-0.85, P = 0.001). Within the intervention cohort, the crude rate was 96.5% for Black vs 95% for White patients (P = 0.56). Odds ratio for the adjusted analysis was 2.1 (95% CI 0.41-10.4, P = 0.39) for Black vs White patients. Between group analyses confirmed treatment parity for the intervention.

CONCLUSION

A system-based intervention tested in five cancer centers reduced racial gaps and improved care for all.

Lung cancer health disparities

Compared with all other racial and ethnic groups in the United States, African Americans are disproportionally affected by lung cancer, both in terms of incidence and survival. It is likely that smoking, as the main etiological factor associated with lung cancer, contributes to these disparities, but the precise mechanism is still unclear. This paper seeks to explore the history of lung cancer disparities and review to the literature regarding the various factors that contribute to them.

Global Epidemiology of Lung Cancer

While lung cancer has been the leading cause of cancer-related deaths for many years in the United States, incidence and mortality statistics - among other measures - vary widely worldwide. The aim of this study was to review the evidence on lung cancer epidemiology, including data of international scope with comparisons of economically, socially, and biologically different patient groups. In industrialized nations, evolving social and cultural smoking patterns have led to rising or plateauing rates of lung cancer in women, lagging the long-declining smoking and cancer incidence rates in men. In contrast, emerging economies vary widely in smoking practices and cancer incidence but commonly also harbor risks from environmental exposures, particularly widespread air pollution. Recent research has also revealed clinical, radiologic, and pathologic correlates, leading to greater knowledge in molecular profiling and targeted therapeutics, as well as an emphasis on the rising incidence of adenocarcinoma histology. Furthermore, emergent evidence about the benefits of lung cancer screening has led to efforts to identify high-risk smokers and development of prediction tools. This review also includes a discussion on the epidemiologic characteristics of special groups including women and nonsmokers. Varying trends in smoking largely dictate international patterns in lung cancer incidence and mortality. With declining smoking rates in developed countries and knowledge gains made through molecular profiling of tumors, the emergence of new risk factors and disease features will lead to changes in the landscape of lung cancer epidemiology.

Trends in the incidence, treatment, and survival of patients with lung cancer in the last four decades

Purpose

This study used the Surveillance, Epidemiology, and End Results (SEER) data to investigate the changes in incidence, treatment, and survival of lung cancer from 1973 to 2015.

Patients and methods

The clinical and epidemiological data of patients with lung cancer were obtained from the SEER database. Joinpoint regression models were used to estimate the rate changes in lung cancer related to incidence, treatment, and survival.

Results

From 1973 to 2015, the average incidence of lung cancer was 59.0/100,000 person-years. The incidence increased initially, reached a peak in 1992, and then gradually decreased. A higher incidence rate was observed in males than in females and in black patients than in other racial groups. Since 1985, adenocarcinoma became the most prevalent histopathological type. The surgical rate for lung cancer was about 25%, and treatment with chemotherapy showed an increasing trend, while the radiotherapy rate was in downward trend. The surgical rate for non-small-cell lung cancer (NSCLC) was higher than that for small cell lung cancer (SCLC), while chemotherapy for SCLC far exceeded that for NSCLC. Treatment with chemotherapy and radiotherapy for advanced stage had higher rate than early stage. The 5-year relative survival rate of lung cancer increased with time, but <21%.

Conclusion

In the past four decades, the lung cancer incidence increased initially and then gradually decreased. Surgical rate experienced a fluctuant reduction, while the chemotherapy rate was in upward trend. The 5-year relative survival rate increased with years, but was still low.

Survival in early lung cancer patients treated with high dose radiotherapy is independent of pathological confirmation

BACKGROUND

Approximately 15% of lung cancer patients are diagnosed in early stages. Microscopic proof of disease cannot always be obtained because of comorbidity or reluctance to undergo invasive diagnostic procedures. In the current study, survival data of patients with and without pathology are compared.

METHODS

One hundred and sixty three patients with NSCLC I-IIb (T3 N0) treated between 2002 and 2016 were eligible: 123 (75%) had pathological confirmation of disease, whereas 40 (25%) did not. In accordance with international guidelines, both groups received radiotherapy. Comorbidity was assessed with the Charlson Comorbidity Index (CCI).

RESULTS

The median follow-up was 28.6 months (range: 0.3-162): 66 (40%) patients are still alive, while 97 (59%) patients died: 48 (29%) cancer-related deaths and 49 (30%) from causes other than cancer. Median overall survival (OS) in patients without pathological confirmation was 58.6 months (range: 0.5-162), which did not differ from those with microscopic proof of disease (39.4 months, range: 0.3-147.5; logrank P = 0.481). Median cancer-specific survival (CSS) also did not differ at 113.4 months (range: 0.5-162) in the non-confirmation group (logrank P = 0.763) versus 51.5 months (range: 3.7-129.5) in patients with pathology. In Cox regression, a CCI of ≥ 3 was associated with poor OS (hazard ratio 2.0; range 1.2-3.4; P = 0.010) and CSS (hazard ratio 2.0; 1.0-4.0; P = 0.043).

CONCLUSION

OS and CSS in early lung cancer patients depend on comorbidity rather than on pathological confirmation of disease.

Racial Differences in Disease Presentation and Management of Intracranial Meningioma

Objective/Hypothesis  The aim of the study was to determine the impact of race on disease presentation and treatment of intracranial meningioma in the United States. Study Design  This study comprised of the analysis of a national population-based tumor registry. Methods  Analysis of the surveillance, epidemiology, and end results (SEER) database was performed, including all patients identified with a diagnosis of intracranial meningioma. Associations between race, disease presentation, treatment strategy, and overall survival were analyzed in a univariate and multivariable model. Results  A total of 65,973 patients with intracranial meningiomas were identified. Of these, 45,251 (68.6%) claimed white, 7,796 (12%) black, 7,154 (11%) Hispanic, 4,902 (7%) Asian, and 870 (1%) patients reported "other-unspecified" or "other-unknown." The median annual incidence of disease was lowest among black (3.43 per 100,000 persons) and highest among white (9.52 per 100,000 persons) populations ( p  < 0.001). Overall, Hispanic patients were diagnosed at the youngest age and white patients were diagnosed at the oldest age (mean of 59 vs. 66 years, respectively; p  < 0.001). Compared with white populations, black, Hispanic, and Asian populations were more likely to present with larger tumors ( p  < 0.001). After controlling for tumor size, age, and treatment center in a multivariable model, Hispanic patients were more likely to undergo surgery than white, black, and Asian populations. Black populations had the poorest disease specific and overall survival rates at 5 years following surgery compared with other groups. Conclusion  Racial differences among patients with intracranial meningioma exist within the United States. Understanding these differences are of vital importance toward identifying potential differences in the biological basis of disease or alternatively inequalities in healthcare delivery or access Further studies are required to determine which factors drive differences in tumor size, age, annual disease incidence, and overall survival between races.

Persistence of racial disparities in early-stage lung cancer treatment

OBJECTIVE

Although the incidence of lung cancer has decreased over the past decades, disparities in survival and treatment modalities have been observed for black and white patients with early-stage non-small cell lung cancer, despite the fact that surgical resection has been established as the standard of care. Possible contributors to these disparities are stage at diagnosis, comorbidities, socioeconomic factors, and patient preference. This study examines racial disparities in treatment, adjusting for clinicodemographic factors.

METHODS

The Surveillance, Epidemiology, and End Results-Medicare dataset was queried to identify patients diagnosed with primary stage I non-small cell lung cancer between 1992 and 2009. Multivariable logistic regressions were performed to assess the association between race and treatment modalities within 1 year of diagnosis, adjusted for clinical and demographic factors. Adjusted Cox proportional hazards models were performed to evaluate disparities in survival, accounting for mode of treatment.

RESULTS

We identified 22,724 patients; 21,230 (93.4%) white and 1494 (6.6%) black. Black patients were less likely to receive treatment (odds ratio [OR]_adj, 0.62; 95% confidence interval [CI], 0.53-0.73) and less likely to receive surgery only when treated (OR_adj, 0.70, 95% CI, 0.61-0.79). Although univariate survival for black patients was worse, when accounting for treatment mode, there was no difference in survival (hazard ratio_adj, 0.97; 95% CI, 0.90-1.04 for all patients, hazard ratio_adj, 0.98; 95% CI: 0.90-1.06 for treated patients).

CONCLUSIONS

Treatment disparities persist, even when adjusting for clinical and demographic factors. However, when black patients receive similar treatment, survival is comparable with white patients.

Communicating with diverse patients: How patient and clinician factors affect disparities

OBJECTIVE

Patient-clinician communication (PCC) may generate or reduce healthcare disparities. This paper is based on the 2017 International Conference on Communication in Healthcare keynote address and reviews PCC literature as a research area for the National Institute on Minority Health and Health Disparities (NIMHD).

METHODS

A narrative review of selected evidence on disparities in PCC experienced by race and ethnic minorities, associations between PCC and poor health outcomes, and patient and clinician factors related to PCC.

RESULTS

Factors associated with poor quality PCC on the patient level include being a member of racial/ethnic minority, having limited English proficiency, and low health and digital literacy; on the clinician level, being less culturally competent, lacking communication skills to facilitate shared decision-making, and holding unconscious biases. Recommendations include offering patient- and/or clinician-targeted interventions to guard against unconscious biases and improve PCC, screening patients for health literacy and English proficiency, integrating PCC in performance processes, and leveraging health information technologies to address unconscious biases.

CONCLUSION

EffectivePCC is a pathway to decrease health disparities and promote health equity.

PRACTICE IMPLICATIONS

Standardized collection of social determinants of health in the Electronic Health Record is an importantfirst step in promoting more effective PCC.