Cervical Cancer Stage at Diagnosis and Survival among Women ≥65 Years in California.

BACKGROUND: Through adequate screening and follow-up, cervical cancer can be prevented or detected at early-stage (stage I), which is related to excellent survival. Current guidelines recommend discontinuing screening for women ≥65 years with history of normal Pap and/or HPV tests, potentially leaving this age group vulnerable. This study examined late-stage disease in a population-based cohort. METHODS: Using California Cancer Registry data, we identified 12,442 patients ages ≥21 years with a first primary cervical cancer diagnosed during 2009-2018. Proportions of late-stage disease (stages II-IV) and early- and late-stage 5-year relative survival are presented by the age group. Among patients ages ≥65 years, multivariable logistic regression estimated associations of sociodemographic and clinical characteristics with late-stage cervical cancer. RESULTS: Nearly one fifth of patients (n = 2,171, 17.4%) were ≥65 years. More women ages ≥65 years (71%) presented with late-stage disease than younger women (48% in patients ages <65). Late-stage 5-year relative survival was lower for women ≥65 years (23.2%-36.8%) compared with patients <65 (41.5%-51.5%). Characteristics associated with late-stage cervical cancer in women ≥65 years included older age [odds ratio (OR), 1.02; 95% confidence interval (CI), 1.01-1.04; each year], non-adenocarcinoma histologic subtypes, and comorbidities (OR, 1.59; 95% CI, 1.21-2.08). CONCLUSIONS: There remains a significant burden of advanced cervical cancer in women ≥65. IMPACT: Efforts should be made to better understand how the current screening paradigm is failing women of 65 years and older. Future work should focus on determining past screening history, lapses in follow-up care, and non-invasive testing approaches.

Evaluation of Cancer Deaths Attributable to Tobacco in California, 2014-2019.

Importance: California's tobacco control efforts have been associated with a decrease in cancer mortality, but these estimates are based on smoking prevalence of the general population. Patient-level tobacco use information allows for more precise estimates of the proportion of cancer deaths attributable to smoking. Objective: To calculate the proportion (smoking-attributable fraction) and number (smoking-attributable cancer mortality) of cancer deaths attributable to tobacco use using patient-level data. Design, Setting, and Participants: The smoking-attributable fraction and smoking-attributable cancer mortality were calculated for a retrospective cohort of patients whose cancer was diagnosed from 2014 to 2019 with at least 1 year of follow-up using relative risks from large US prospective studies and patient-level smoking information. Follow-up continued through April 2022. A population-based cohort was identified from the California Cancer Registry. Participants included adults aged 20 years and older with a diagnosis of 1 of the 12 tobacco-related cancers (oral cavity or pharynx, larynx, esophagus, lung, liver, stomach, pancreas, kidney, bladder, colon or rectum, cervix, and acute myeloid leukemia). Exposures: Tobacco use defined as current, former, or never. Main Outcomes and Measures: The primary outcomes were the smoking-attributable fraction and smoking-attributable cancer mortality for each of the 12 tobacco-related cancers over 2 time periods (2014-2016 vs 2017-2019) and by sex. Results: Among 395 459 patients with a tobacco-related cancer, most (285 768 patients [72.3%]) were older than 60 years, the majority (228 054 patients [57.7%]) were non-Hispanic White, 229 188 patients were men (58.0%), and nearly one-half (184 415 patients [46.6%]) had lung or colorectal cancers. Nearly one-half of the deaths (93 764 patients [45.8%]) in the cohort were attributable to tobacco. More than one-half (227 660 patients [57.6%]) of patients had ever used tobacco, and 69 103 patients (17.5%) were current tobacco users, which was higher than the proportion in the general population (11.7%). The overall smoking-attributable fraction of cancer deaths decreased significantly from 47.7% (95% CI, 47.3%-48.0%) in 2014 to 2016 to 44.8% (95% CI, 44.5%-45.1%) in 2017 to 2019, and this decrease was seen for both men and women. The overall smoking-attributable cancer mortality decreased by 10.2%. Conclusions and Relevance: California still has a substantial burden of tobacco use and associated cancer. The proportion of cancer deaths associated with tobacco use was almost double what was previously estimated. There was a modest but significant decline in this proportion for overall tobacco-associated cancers, especially for women.

Environmental pesticide exposure and non-Hodgkin lymphoma survival: a population-based study.

BACKGROUND: There is evidence indicating that pesticide exposure is a risk factor for non-Hodgkin lymphoma (NHL) development. However, the association between pesticide exposure and NHL survival is not well-established. METHODS: Using the California Cancer Registry, we identified patients with a first primary diagnosis of NHL from 2010 to 2016 and linked these patients with CalEnviroScreen 3.0 to obtain production agriculture pesticide exposure to 70 chemicals from the state-mandated Pesticide Use Reporting (PUR) by census tract from 2012 to 2014. In addition, data from PUR was integrated into a geographic information system that employs land-use data to estimate cumulative exposure to specific pesticides previously associated with NHL (glyphosate, organophosphorus, carbamate, phenoxyherbicide, and 2,4-dimethylamine salt) between 10 years prior up to 1 year after NHL diagnosis. Multivariable Cox proportional hazards regression models were used to evaluate the association between total pesticide exposure from CalEnviroScreen 3.0 and individual pesticide exposure from geographic land use data and lymphoma-specific and overall survival. RESULTS: Among 35,808 NHL patients identified, 44.2% were exposed to pesticide in their census tract of residence. Glyphosate, organophosphorus, carbamate, phenoxyherbicide, and 2,4-dimethylamine salt exposure was observed in 34.1%, 26.0%, 10.6%, 14.0%, and 12.8% of NHL patients, respectively. Total pesticide exposure at the time of diagnosis was not associated with lymphoma-specific or overall survival. In addition, no association was consistently found between glyphosate, organophosphorus, carbamate, phenoxyherbicide, and 2,4 dimethylamine salt exposure and lymphoma-specific or overall survival. CONCLUSIONS: Although we found no consistent associations between agricultural pesticide exposure at the neighborhood level and worse survival, these results provide a platform for designing future studies to determine the association between pesticide and NHL.

Stage at diagnosis and survival among adolescents and young adults with lymphomas following the Affordable Care Act implementation in California.

Adolescents and young adults (AYAs, 15-39 years) are the largest uninsured population in the Unites States, increasing the likelihood of late-stage cancer diagnosis and poor survival. We evaluated the associations between the Affordable Care Act (ACA), insurance coverage, stage at diagnosis and survival among AYAs with lymphoma. We used data from the California Cancer Registry linked to Medicaid enrollment files on AYAs diagnosed with a primary non-Hodgkin (NHL; n = 5959) or Hodgkin (n = 5378) lymphoma pre-ACA and in the early and full ACA eras. Health insurance was categorized as continuous Medicaid, discontinuous Medicaid, Medicaid enrollment at diagnosis/uninsurance, other public and private. We used multivariable regression models for statistical analyses. The proportion of AYAs uninsured/Medicaid enrolled at diagnosis decreased from 13.4% pre-ACA to 9.7% with full ACA implementation, while continuous Medicaid increased from 9.3% to 29.6% during this time (P < .001). After full ACA, AYAs with NHL were less likely to be diagnosed with Stage IV disease (adjusted odds ratio [aOR] = 0.84, 95% confidence interval [CI] = 0.73-0.97). AYAs with lymphoma were more likely to receive care at National Cancer Institute-Designated Cancer Centers (aOR = 1.42, 95% CI = 1.28-1.57) and had lower likelihood of death (adjusted hazard ratio = 0.54, 95% CI = 0.46-0.63) after full ACA. However, AYAs from the lowest socioeconomic neighborhoods, racial/ethnic minority groups and those with Medicaid continued to experience worse survival. In summary, AYAs with lymphomas experienced increased access to healthcare and better clinical outcomes following Medicaid expansion under the ACA. Yet, socioeconomic and racial/ethnic disparities remain, calling for additional efforts to decrease health inequities among underserved AYAs with lymphoma.

Urban-Rural Variations in Quality of Care Among Patients With Cancer in California.

INTRODUCTION: Previous research suggests cancer patients living in rural areas have lower quality of care, but population-based studies have yielded inconsistent results. This study examines the impact of rurality on care quality for 7 cancer types in California. METHODS: Breast, ovarian, endometrial, cervix, colon, lung, and gastric cancer patients diagnosed from 2004 to 2017 were identified in the California Cancer Registry. Multivariable logistic regression and proportional hazards models were used to assess effects of residential location on quality of care and survival. Stratified models examined the impact of treatment at National Cancer Institute designated cancer centers (NCICCs). Quality of care was evaluated using Commission on Cancer measures. Medical Service Study Areas were used to assess urban/rural status. Data were collected in 2004-2019 and analyzed in 2020. RESULTS: 989,747 cancer patients were evaluated, with 14% living in rural areas. Rural patients had lower odds of receiving radiation after breast conserving surgery compared to urban residents. Colon and gastric cancer patients had 20% and 16% lower odds, respectively, of having optimal surgery. Rural patients treated at NCICCs had greater odds of recommended surgery for most cancer types. Survival was similar among urban and rural subgroups. CONCLUSIONS: Rural residence was inversely associated with receipt of recommended surgery for gastric and colon cancer patients not treated at NCICCs, and for receiving recommended radiotherapy after breast conserving surgery regardless of treatment location. Further studies investigating the impact of care location and availability of supportive services on urban-rural differences in quality of care are warranted.

Symptomatic presentation of cervical cancer in emergency departments in California.

PURPOSE: Through screening and HPV vaccination, cervical cancer can mostly be prevented or detected very early, before symptoms develop. However, cervical cancer persists, and many women are diagnosed at advanced stages. Little is known about the degree to which U.S. women may begin their diagnostic workup for cervical cancer in Emergency Departments (ED). We sought to quantify the proportion of women presenting symptomatically in the ED prior to their diagnosis with cervical cancer and to describe their characteristics and outcomes. METHODS: We identified women diagnosed from 2006 to 2017 with cervical cancer in the California Cancer Registry. We linked this cohort to statewide ED discharge records to determine ED use and symptoms present at the encounter. Multivariable logistic regression models examined associations with ED use and multivariable Cox proportional hazards regression models examined associations with survival. RESULTS: Of the more than 16,000 women with cervical cancer in the study cohort, 28% presented symptomatically in the ED prior to diagnosis. Those presenting symptomatically were more likely to have public (odds ratio [OR] 1.16; 95% confidence interval [CI] 1.06-1.27) or no insurance (OR 4.81; CI 4.06-5.71) (vs. private), low socioeconomic status (SES) (OR 1.76; CI 1.52-2.04), late-stage disease (OR 5.29; CI 4.70-5.96), and had a 37% increased risk of death (CI 1.28-1.46). CONCLUSION: Nearly a third of women with cervical cancer presented symptomatically, outside of a primary care setting, suggesting that many women, especially those with low SES, may not be benefiting from screening or healthcare following abnormal results.

Increasing Rates of Colorectal Cancer Among Young People in California, 1988-2017.

Background: Colorectal cancer (CRC) incidence among persons older than 50 years has decreased in California and nationally, but incidence rates have increased among persons younger than 50 years. Previous studies present incidence rates among younger persons using a wide age group of 20-49 years. However, previous population-based studies did not analyze CRC incidence in subgroups defined by age, sex, race/ethnicity, and stage at diagnosis to better understand incidence trends among younger persons. Methods/Approach: We identified all people diagnosed with CRC at the age of 20-49 years from the California Cancer Registry (n = 39,298; 1988-2017). We used SEER*Stat and Joinpoint software to calculate average annual percentage changes (AAPCs) in incidence rates by age at diagnosis, sex, race/ethnicity, and stage. Age was divided into 10-year intervals (20-29, 30-39, and 40-49 years), stage was categorized as early- and late-stage, and race/ethnicity as non-Hispanic White, non-Hispanic Black, Hispanic, Asian/Pacific Islander, and American Indian groups. Results: Statistically significant increases in early-stage CRC incidence rates were observed among the 20-29, 30-39, and 40-49-year age groups in male and female non-Hispanic White populations (AAPC, 6.3%, 3.3%, and 1.9%, respectively) and Hispanic populations (AAPC, 4.9%, 3.5%, and 2.3%, respectively). Statistically significant increases in late-stage CRC incidence rates were observed among all 3 age groups of male and female non-Hispanic White people (AAPC, 2.8%, 3.1%, and 1.7%, respectively) and Hispanic females (AAPC, 4.2%, 2.3%, and 1.1%, respectively). Statistically significant increases in late-stage CRC incidence rates were also seen in the 30-39 and 40-49-year age groups among non-Hispanic White females (AAPC, 3.4% and 1.8%, respectively), Hispanic males (AAPC, 3.6% and 1.6%, respectively), and Asian/Pacific Islander females (AAPC, 1.9% and 0.7%, respectively). Statistically significant increases in late-stage CRC incidence were observed among 40-to 49-year-old Asian/Pacific Islander males (AAPC, 1.4%) and American Indian males and females (AAPC, 5.5%). Conclusion: CRC is increasing among several young age groups. Because evidence suggests that younger adults present with more advanced disease, these results may be useful for educating health care providers about CRC risk and suggest that CRC screening recommendations should be developed for this population. Continued surveillance of CRC incidence rates among young adults is warranted.

The influence of the Affordable Care Act-Dependent Care Expansion on insurance coverage among young cancer survivors in California: an updated analysis.

PURPOSE: To assess changes in health insurance coverage for young cancer patients pre- and post- the Affordable Care Act-Dependent Care Expansion (ACA-DCE) implementation in California. Further, we examined differences in insurance coverage by socioeconomic and race/ethnicity. METHODS: Data were obtained from the California Cancer Registry and Medicaid enrollment files, from 2005 to 2014. We conducted difference-in-difference analyses among 7042 cancer patients aged 22-25 years ("intervention group") and 25,269 aged 26-34 years ("control group"). We also examined the independent and combined effects of race/ethnicity and neighborhood socioeconomic status (nSES) on insurance coverage. RESULTS: After the ACA-DCE implementation, we observed a 52.7% reduction in the proportion of uninsured and a 35.7% increase in the proportion of privately insured patients. There was also a 17.3% reduction in Medicaid at cancer diagnosis and a 27.5% reduction in discontinuous Medicaid enrollment. However, these benefits were limited to patients of non-Hispanic White, Hispanic and Asian/Pacific Islander race/ethnicity living in higher nSES, with no differences in insurance enrollment among young adults who lived in low nSES or those of Black race/ethnicity. CONCLUSION: The ACA-DCE broadened insurance coverage for young adults with cancer in California. Yet, only certain subgroups of patients have benefited from this policy.

Impact of insurance type and timing of Medicaid enrollment on survival among adolescents and young adults with cancer.

BACKGROUND: Adolescents and young adults (AYAs) with public or no insurance experience later stage at diagnosis and worse overall survival compared with those with private insurance. However, prior studies have not distinguished the survival impact of continuous Medicaid coverage prior to diagnosis compared with gaining Medicaid coverage at diagnosis. METHODS: We linked a cohort of AYAs aged 15-39 who were diagnosed with 13 common cancers from 2005 to 2014 in the California Cancer Registry with California Medicaid enrollment files to ascertain Medicaid enrollment, with other insurance determined from registry data. We used Cox proportional hazards regression to evaluate the impact of insurance on survival, adjusting for clinical and demographic characteristics. RESULTS: Among 62 218 AYAs, over 65% had private/military insurance, 10% received Medicaid at diagnosis, 13.2% had continuous Medicaid, 4.1% had discontinuous Medicaid, 1.7% had other public insurance, 3% were uninsured, and 2.6% had unknown insurance. Compared with those with private/military insurance, individuals with Medicaid insurance had significantly worse survival regardless of when coverage began (received Medicaid at diagnosis: hazard ratio [95% confidence interval]: 1.51 [1.42-1.61]; continuously Medicaid insured: 1.42 [1.33-1.52]; discontinuous Medicaid: 1.64 [1.49, 1.80]). Analyses of those with Medicaid insurance only demonstrated slightly worse cancer-specific survival among those with discontinuous Medicaid or enrollment at diagnosis compared with those with continuous enrollment, but results were not significant stratified by cancer site. CONCLUSIONS AND RELEVANCE: AYAs with Medicaid insurance experience worse cancer-specific survival compared with those with private/military insurance, yet continuous enrollment demonstrates slight survival improvements, providing potential opportunities for future policy intervention.

A population-based assessment of proton beam therapy utilization in California.

OBJECTIVES: Proton beam therapy (PBT) is a type of radiation therapy (RT) used for certain cancer types because it minimizes collateral tissue damage. The high cost and limited availability of PBT have constrained its utilization. This study examined patterns and determinants of PBT use in California. STUDY DESIGN: Persons with diagnoses of all cancer types from 2003 to 2016 inclusive who had any type of RT were identified in the California Cancer Registry in this retrospective analysis. METHODS: Cross-tabulations were performed to summarize the demographic characteristics of the study population, both for individuals who received PBT and for those who received other RT modalities. PBT use patterns over time were assessed. Multivariate logistic regression models assessed the effects of demographics and health insurance type on receipt of PBT. RESULTS: Of the 2,499,510 people with a cancer diagnosis during the study period, 578,632 (23%) received some type of RT, and of these, 8609 received PBT (1.5%). PBT was most often used to treat cancers of the prostate (41.3%), breast (14.0%), eye (11.7%), lung (6.1%), and brain (6.0%). PBT use was highest in 2003-2004 and then declined over time. PBT use was significantly associated with being white or male, younger age, higher socioeconomic status, Medicare or dual Medicare-Medicaid insurance, uninsured/self-pay status, and proximity to treatment. CONCLUSIONS: Significant differences exist in PBT use by demographics and health insurance type. The identified racial and socioeconomic disparities merit further investigation. More granular studies on both use patterns and effectiveness of PBT for specific cancers are needed to draw stronger conclusions about its cost-benefit ratio.

Treatment Patterns and Survival in Older Adults with Diffuse Large B-cell Lymphoma: A Population-Based Study.

BACKGROUND AND OBJECTIVE: Diffuse large B-cell lymphoma (DLBCL) is the most common type of non-Hodgkin lymphoma, with a median age of diagnosis of 66 years. Anthracycline-containing regimens are the most common treatments, but toxicity concerns can limit their use in patients older than 80 years. Understanding treatment patterns and associated survival in adults older than 80 years (vs adults aged 65-80 years) can help determine effective management strategies in this population. We sought to describe the impact of age on treatment regimens used and associated survival in older adults with DLBCL. METHODS: Data for 17,859 patients aged ≥65 years diagnosed with DLBCL from 2006 to 2017 were obtained from the California Cancer Registry. Detailed treatment information for each patient was extracted from treatment text fields. Multivariable logistic regression models examined characteristics associated with no treatment and multivariable Cox proportional hazards regression models examined the influence of treatment on overall survival and cancer specific survival. RESULTS: Across both examined age groups (65-80 years and older than 80 years), the most common treatment was anthracycline-containing regimens followed by other drug combinations. For patients older than 80 years, fewer received anthracyclines (32.4%) and more received other drug combinations (17.6%) or had no treatment (13.1%) vs those aged 65-80 years (61.6% anthracyclines, 10.4% other combinations, 5% no treatment). Women were less likely to receive treatment, as were those who were older, had more comorbidities, received treatment at non-National Cancer Institute designated cancer centers, or were diagnosed more recently. For patients older than 80 years, anthracyclines and R-CVP conferred a survival advantage compared to other combinations. CONCLUSION: In this large, population-based group of older adults with DLBCL, patients older than 80 years were less likely to receive initial treatment and more likely to receive other drug combinations despite a survival advantage with more standard anthracycline and nonanthracycline regimen protocols.

Impact of Health Insurance on Stage at Cancer Diagnosis Among Adolescents and Young Adults.

BACKGROUND: Uninsured adolescents and young adults (AYAs) and those with publicly funded health insurance are more likely to be diagnosed with cancer at later stages. However, prior population-based studies have not distinguished between AYAs who were continuously uninsured from those who gained Medicaid coverage at the time of cancer diagnosis. METHODS: AYA patients (ages 15-39 years) with nine common cancers diagnosed from 2005 to 2014 were identified using California Cancer Registry data. This cohort was linked to California Medicaid enrollment files to determine continuous enrollment, discontinuous enrollment, or enrollment at diagnosis, with other types of insurance determined from registry data. Multivariable logistic regression was used to evaluate factors associated with later stages at diagnosis. RESULTS: The majority of 52 774 AYA cancer patients had private or military insurance (67.6%), followed by continuous Medicaid (12.4%), Medicaid at diagnosis (8.5%), discontinuous Medicaid (3.9%), other public insurance (1.6%), no insurance (2.9%), or unknown insurance (3.1%). Of the 13 069 with Medicaid insurance, 50.1% were continuously enrolled. Compared to those who were privately insured, AYAs who enrolled in Medicaid at diagnosis were 2.2-2.5 times more likely to be diagnosed with later stage disease, whereas AYAs discontinuously enrolled were 1.7-1.9 times and AYAs continuously enrolled were 1.4-1.5 times more likely to be diagnosed with later stage disease. Males, those residing in lower socioeconomic neighborhoods, and AYAs of Hispanic or black race and ethnicity (vs non-Hispanic white) were more likely to be diagnosed at a later stage, independent of insurance. CONCLUSIONS: Our findings suggest that access to continuous medical insurance is important for decreasing the likelihood of late stage cancer diagnosis.

Disparities in Systemic Treatment Use in Advanced-stage Non-Small Cell Lung Cancer by Source of Health Insurance.

BACKGROUND: Management of advanced-stage non-small cell lung cancer (NSCLC) has changed significantly over the past two decades with the development of numerous systemic treatments, including targeted therapies. However, a high proportion of advanced-stage patients are untreated. The role that health insurance plays in receipt of systemic treatments is unclear. METHODS: Using California Cancer Registry data (2012-2014), we developed multivariable Poisson regression models to assess the independent effect of health insurance type on systemic treatment utilization among patients with stage IV NSCLC. Systemic treatment information was manually abstracted from treatment text fields. RESULTS: A total of 17,310 patients were evaluated. Patients with Medicaid/other public insurance were significantly less likely to receive any systemic treatments [risk ratio (RR), 0.78; 95% confidence interval (CI), 0.75-0.82], bevacizumab combinations (RR, 0.57; 95% CI, 0.45-0.71), or tyrosine kinase inhibitors (RR, 0.70; 95% CI, 0.60-0.82) compared with the privately insured. Patients with Medicare or dual Medicare-Medicaid insurance were not significantly different from the privately insured in their likelihood of receiving systemic treatments. CONCLUSIONS: Substantial disparities in the use of systemic treatments for stage IV NSCLC exist by source of health insurance in California. Patients with Medicaid/other public insurance were significantly less likely to receive systemic treatments compared with their privately insured counterparts. IMPACT: Source of health insurance influences care received. Further research is warranted to better understand barriers to treatment that patients with Medicaid face.

A text-mining approach to obtain detailed treatment information from free-text fields in population-based cancer registries: A study of non-small cell lung cancer in California.

BACKGROUND: Population-based cancer registries have treatment information for all patients making them an excellent resource for population-level monitoring. However, specific treatment details, such as drug names, are contained in a free-text format that is difficult to process and summarize. We assessed the accuracy and efficiency of a text-mining algorithm to identify systemic treatments for lung cancer from free-text fields in the California Cancer Registry. METHODS: The algorithm used Perl regular expressions in SAS 9.4 to search for treatments in 24,845 free-text records associated with 17,310 patients in California diagnosed with stage IV non-small cell lung cancer between 2012 and 2014. Our algorithm categorized treatments into six groups that align with National Comprehensive Cancer Network guidelines. We compared results to a manual review (gold standard) of the same records. RESULTS: Percent agreement ranged from 91.1% to 99.4%. Ranges for other measures were 0.71-0.92 (Kappa), 74.3%-97.3% (sensitivity), 92.4%-99.8% (specificity), 60.4%-96.4% (positive predictive value), and 92.9%-99.9% (negative predictive value). The text-mining algorithm used one-sixth of the time required for manual review. CONCLUSION: SAS-based text mining of free-text data can accurately detect systemic treatments administered to patients and save considerable time compared to manual review, maximizing the utility of the extant information in population-based cancer registries for comparative effectiveness research.

First-Line Systemic Treatments for Stage IV Non-Small Cell Lung Cancer in California: Patterns of Care and Outcomes in a Real-World Setting.

BACKGROUND: Multiple systemic treatments have been developed for stage IV non-small cell lung cancer (NSCLC), but their use and effect on outcomes at the population level are unknown. This study describes the utilization of first-line systemic treatments among stage IV NSCLC patients in California and compares survival among treatment groups. METHODS: Data on 17 254 patients diagnosed with stage IV NSCLC from 2012 to 2014 were obtained from the California Cancer Registry. Systemic treatments were classified into six groups. The Kaplan-Meier method and multivariable Cox proportional hazards models were used to compare survival between treatment groups. RESULTS: Fifty-one percent of patients were known to have received systemic treatment. For patients with nonsquamous histology, pemetrexed regimens were the most common treatment (14.8%) followed by tyrosine kinase inhibitors (11.9%) and platinum doublets (11.5%). Few patients received pemetrexed/bevacizumab combinations (4.5%), bevacizumab combinations (3.6%), or single agents (1.7%). There was statistically significantly better overall survival for those on pemetrexed regimens (hazard ratio [HR] = 0.86, 95% confidence interval [CI] = 0.80 to 0.92), bevacizumab regimens (HR = 0.73, 95% CI = 0.65 to 0.81), pemetrexed/bevacizumab regimens (HR = 0.68, 95% CI = 0.61 to 0.76), or tyrosine kinase inhibitors (HR = 0.62, 95% CI = 0.57 to 0.67) compared with platinum doublets. The odds of receiving most systemic treatments decreased with decreasing socioeconomic status. For patients with squamous histology, platinum doublets were predominant (33.7%) and were not found to have statistically significantly different overall survival from single agents. CONCLUSIONS: These population-level findings indicate low utilization of systemic treatments, survival differences between treatment groups, and evident treatment disparities by socioeconomic status.

Comorbidity index in central cancer registries: the value of hospital discharge data.

BACKGROUND: The presence of comorbid medical conditions can significantly affect a cancer patient's treatment options, quality of life, and survival. However, these important data are often lacking from population-based cancer registries. Leveraging routine linkage to hospital discharge data, a comorbidity score was calculated for patients in the California Cancer Registry (CCR) database. METHODS: California cancer cases diagnosed between 1991 and 2013 were linked to statewide hospital discharge data. A Deyo and Romano adapted Charlson Comorbidity Index was calculated for each case, and the association of comorbidity score with overall survival was assessed with Kaplan-Meier curves and Cox proportional hazards models. Using a subset of Medicare-enrolled CCR cases, the index was validated against a comorbidity score derived using Surveillance, Epidemiology, and End Results (SEER)-Medicare linked data. RESULTS: A comorbidity score was calculated for 71% of CCR cases. The majority (60.2%) had no relevant comorbidities. Increasing comorbidity score was associated with poorer overall survival. In a multivariable model, high comorbidity conferred twice the risk of death compared to no comorbidity (hazard ratio 2.33, 95% CI: 2.32-2.34). In the subset of patients with a SEER-Medicare-derived score, the sensitivity of the hospital discharge-based index for detecting any comorbidity was 76.5. The association between overall mortality and comorbidity score was stronger for the hospital discharge-based score than for the SEER-Medicare-derived index, and the predictive ability of the hospital discharge-based score, as measured by Harrell's C index, was also slightly better for the hospital discharge-based score (C index 0.62 versus 0.59, P<0.001). CONCLUSIONS: Despite some limitations, using hospital discharge data to construct a comorbidity index for cancer registries is a feasible and valid method to enhance registry data, which can provide important clinically relevant information for population-based cancer outcomes research.

Kidney Cancer Incidence in California: End of the Trend?

Background and Objective: Since the 1990s, multiple studies have reported on an increased incidence of renal cell carcinomas (RCC), which has been considered incidental to the high use of abdominal diagnostic imaging. This population-based study used data from the California Cancer Registry to (i) update trends in RCC incidence and mortality by several tumor and demographic characteristics after reports of decreased use of diagnostic imaging in recent years, and (ii) examine changes in surgical treatment for early-stage RCC. Methods: Records of patients diagnosed with RCC from 1988 through 2013 and mortality data from the same period were examined. Joinpoint regression was used to estimate annual percent changes in age-adjusted RCC incidence and mortality rates, stratified by sex, race/ethnicity, stage at diagnosis, grade, and tumor size. Trends in the proportion of partial or total/radical nephrectomies were evaluated by Cochran-Armitage tests. Results: A total of 77,363 incident cases of RCC and 28,590 deaths were evaluated. While mortality rates significantly decreased, the incidence of small localized RCC increased in virtually all groups examined after the mid-1990s until 2008-2009, when incidence trends stabilized in all groups concomitant with a decrease in imaging. The proportion of partial nephrectomies among patients with small localized tumors increased from 13.8% in 1988 to 74.6% in 2013. Conclusions: Earlier trends in RCC were consistent with the incidental discovery of small tumors. In parallel with the increase in early-stage RCC, the use of partial nephrectomies increased markedly. Following the decreased use of advanced diagnostic imaging, the trend of increasing RCC incidence appears to have ended in California.

Disparities in quality of cancer care: The role of health insurance and population demographics.

Escalating costs and concerns about quality of cancer care have increased calls for quality measurement and performance accountability for providers and health plans. The purpose of the present cross-sectional study was to assess variability in the quality of cancer care by health insurance type in California.Persons with breast, ovary, endometrium, cervix, colon, lung, or gastric cancer during the period 2004 to 2014 were identified in the California Cancer Registry. Individuals were stratified into 5 health insurance categories: private insurance, Medicare, Medicaid, dual Medicare and Medicaid eligible, and uninsured. Quality of care was evaluated using Commission on Cancer quality measures. Logistic regression models were generated to assess the independent effect of health insurance type on stage at diagnosis, quality of care and survival after adjusting for age, sex, race/ethnicity, and socioeconomic status (SES).A total of 763,884 cancer cases were evaluated. Individuals with Medicaid or Medicare-Medicaid dual-eligible coverage and the uninsured had significantly lower odds of receiving recommended radiation and/or chemotherapy after diagnosis or surgery for breast, endometrial, and colon cancer, relative to those with private insurance. Dual eligible patients with gastric cancer had 21% lower odds of having the recommended number of lymph nodes removed and examined compared to privately insured patients.After adjusting for known demographic confounders, substantial and consistent disparities in quality of cancer care exist according to type of health insurance in California. Further study is needed to identify particular factors and mechanisms underlying the identified treatment disparities across sources of health insurance.