Dataset Information

State-Level Disparity in Lung Cancer Survival in the United States.

ABSTRACT: Rationale: The cancer mortality-to-incidence ratio (MIR) can serve as a population-based indicator for cancer care outcomes. In the US, evaluation of lung cancer survival by individual states has not been evaluated. Objective: To assess the association between lung cancer survival by using MIRs and state-level health disparities in the United States. Methods: We calculated 5-year lung cancer MIR averages from 2011 to 2015 using the United States Cancer Statistics (USCS) data. America's Health Rankings (AHR) is a platform using weighted measures in five different categories to calculate annual state health rankings. Five-year averages from 2011 to 2015 of the health uninsured rate and 4-year averages from 2011 to 2014 of health spending per capita were obtained from the U.S. Census Bureau and Centers for Medicare & Medicaid Services. Linear regression analyses were performed to determine the associations between cancer survival value (CSV) = (1 - MIR) × 100% and state health variables. Results: During the study period, the 5-year averages of age-adjusted incidence, mortality rates, and CSVs were 60.3 ± 2.1 per 100,000 population, 43.4 ± 2.1 per 100,000, and 27.9 ± 3.9%, respectively. Among the 50 states, Connecticut had the highest CSV (38.6 ± 1.7%) whereas Nevada had the lowest CSV (18.7 ± 6.5%). Hawaii had the highest health ranking and Mississippi had the lowest ranking in 2016. States with better health rankings, lower health uninsured rates, and higher health spending were significantly associated with higher CSVs (R 2 = 0.418, P < 0.001; R 2 = 0.352, P < 0.001; R 2 = 0.142, P = 0.007, respectively). Conclusions: There are significant differences in lung cancer survival within the United States. Lung cancer survival by using CSV was strongly associated with state health disparities, and it can be an applicable measure to evaluate the state-level health disparities in the United States.

SUBMITTER: Lee YC

PROVIDER: S-EPMC7472918 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

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Publications

State-Level Disparity in Lung Cancer Survival in the United States.

Lee Yu-Che YC Calderon-Candelario Rafael A RA Holt Gregory E GE Campos Michael A MA Mirsaeidi Mehdi M

Frontiers in oncology 20200821

Rationale: The cancer mortality-to-incidence ratio (MIR) can serve as a population-based indicator for cancer care outcomes. In the US, evaluation of lung cancer survival by individual states has not been evaluated. Objective: To assess the association between lung cancer survival by using MIRs and state-level health disparities in the United States. Methods: We calculated 5-year lung cancer MIR averages from 2011 to 2015 using the United States Cancer Statistics (USCS) data ...[more]

PMID: 32974167

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Project description:BackgroundInstitutional-level disparities in non-small cell lung cancer (NSCLC) survival may be driven by reversible differences in care-delivery processes. We quantified the impact of differences in readily identifiable quality metrics on long-term survival disparities in resected NSCLC.Research questionHow do reversible differences in oncologic quality of care contribute to institutional-level disparities in early-stage NSCLC survival?Study design and methodsWe retrospectively analyzed patients in the National Cancer Data Base who underwent NSCLC resection from 2004 through 2015 within institutions categorized as Community, Comprehensive Community, Integrated Network, Academic, and National Cancer Institute (NCI)-Designated Cancer Programs. We estimated percentages and adjusted ORs for six potentially avoidable poor-quality markers: incomplete resection, nonexamination of lymph nodes, nonanatomic resection, non-evidence-based use of adjuvant chemotherapy, non-evidence-based use of adjuvant radiation therapy, and 60-day postoperative mortality. By sequentially eliminating patients with poor-quality markers and calculating adjusted hazard ratios, we quantified their overall survival impact.ResultsOf 169,775 patients, 7%, 46%, 10%, 24%, and 12% underwent surgery at Community, Comprehensive Community, Integrated Network, Academic, and NCI-Designated Cancer Programs, with 5-year overall survival rates of 52%, 56%, 58%, 60% and 66%, respectively. After the sequential elimination process, using NCI-Designated Cancer Centers as a reference, the adjusted hazard ratio for 5-year overall survival changed from 1.47 (95% CI, 1.41-1.53), 1.29 (95% CI, 1.25-1.33), 1.18 (95% CI, 1.14-1.23), and 1.20 (95% CI, 1.16-1.24) for Community, Comprehensive Community, Integrated Networks, and Academic Cancer Programs to 1.35 (95% CI, 1.28-1.42), 1.22 (95% CI, 1.17-1.26), 1.16 (95% CI, 1.11-1.22), and 1.17 (95% CI, 1.12-1.21), respectively (P < .001 for all comparisons with NCI-designated programs). Differences in quality of surgical resection and postoperative care accounted for 11% to 26% of the interinstitutional survival disparities.InterpretationTargeting six readily identified poor-quality markers narrowed, but did not eliminate, institutional survival disparities. The greatest impact was in community programs. Residual factors driving persistent institution-level long-term NSCLC survival disparities must be characterized to eliminate them.

Project description:BackgroundIn the United States, cancer is common, with high morbidity and mortality; cancer incidence varies between states. Online searches reflect public awareness, which could be driven by the underlying regional cancer epidemiology.ObjectiveThe objective of our study was to characterize the relationship between cancer incidence and online Google search volumes in the United States for 6 common cancers. A secondary objective was to evaluate the association of search activity with cancer-related public events and celebrity news coverage.MethodsWe performed a population-based, retrospective study of state-level cancer incidence from 2004 through 2013 reported by the Centers for Disease Control and Prevention for breast, prostate, colon, lung, and uterine cancers and leukemia compared to Google Trends (GT) relative search volume (RSV), a metric designed by Google to allow interest in search topics to be compared between regions. Participants included persons in the United States who searched for cancer terms on Google. The primary measures were the correlation between annual state-level cancer incidence and RSV as determined by Spearman correlation and linear regression with RSV and year as independent variables and cancer incidence as the dependent variable. Temporal associations between search activity and events raising public awareness such as cancer awareness months and cancer-related celebrity news were described.ResultsAt the state level, RSV was significantly correlated to incidence for breast (r=.18, P=.001), prostate (r=-.27, P<.001), lung (r=.33, P<.001), and uterine cancers (r=.39, P<.001) and leukemia (r=.13, P=.003) but not colon cancer (r=-.02, P=.66). After adjusting for time, state-level RSV was positively correlated to cancer incidence for all cancers: breast (P<.001, 95% CI 0.06 to 0.19), prostate (P=.38, 95% CI -0.08 to 0.22), lung (P<.001, 95% CI 0.33 to 0.46), colon (P<.001, 95% CI 0.11 to 0.17), and uterine cancers (P<.001, 95% CI 0.07 to 0.12) and leukemia (P<.001, 95% CI 0.01 to 0.03). Temporal associations in GT were noted with breast cancer awareness month but not with other cancer awareness months and celebrity events.ConclusionsCancer incidence is correlated with online search volume at the state level. Search patterns were temporally associated with cancer awareness months and celebrity announcements. Online searches reflect public awareness. Advancing understanding of online search patterns could augment traditional epidemiologic surveillance, provide opportunities for targeted patient engagement, and allow public information campaigns to be evaluated in ways previously unable to be measured.

Project description:RATIONALE:In the United States, an algorithm known as the "match-run" creates an ordered ranking of potential recipients for available lung allografts. A potential recipient's match-run position, or "sequence number," is available to the transplant center when contacted with a lung offer. Lung offers with higher sequence numbers may be interpreted as a crowd-sourced evaluation of poor organ quality, though the association between the sequence number at which a lung is accepted and its recipient's post-transplant outcomes is unclear. OBJECTIVES:We sought to evaluate the primary reasons provided when a lung offer was refused by a transplant center, transplant center and donor/organ factors associated with a higher sequence number at acceptance, and the association of the sequence number at acceptance with post-transplant mortality and graft failure. METHODS:Match-run outcomes for lung offers that occurred in the United States from May 2007 through June 2014 were merged with recipient follow-up data through December 2017. Associations between the sequence number at the time of acceptance and selected transplant center and donor characteristics were estimated using multivariable logistic and multinomial regression models. The associations between the final sequence number and recipient survival and graft survival were estimated using multivariable time-to-event models. RESULTS:Of 10,981 lung offer acceptances, nearly 70% were accepted by one of the top 10 ranked candidates. Higher median annual center volume and potential indicators of organ quality (e.g., abnormal chest radiograph or bronchoscopy) were associated with a higher sequence number at acceptance. There was weak evidence for a small positive relationship between the sequence number at acceptance and both mortality and graft failure. For example, the unadjusted and adjusted hazard ratios for death associated with the log-sequence number at acceptance were 1.019 (95% confidence interval, 1.001-1.038) and 1.011 (95% confidence interval, 0.989-1.033), respectively. On the absolute scale, using the multivariable model, a 10-fold increase in the sequence number translated into a 0.8% absolute decline in the predicted 5-year survival. CONCLUSIONS:Acceptance of a donor lung offer at a later point in the match-run was associated with measurable indicators of organ quality, but not with clinically meaningful differences in post-transplant mortality or graft failure.

Dataset Information

State-Level Disparity in Lung Cancer Survival in the United States.

Publications

State-Level Disparity in Lung Cancer Survival in the United States.

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