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  • 1
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2021
    In:  JNCI: Journal of the National Cancer Institute Vol. 113, No. 8 ( 2021-08-02), p. 997-1004
    In: JNCI: Journal of the National Cancer Institute, Oxford University Press (OUP), Vol. 113, No. 8 ( 2021-08-02), p. 997-1004
    Abstract: Cancer and its treatment can result in lifelong medical financial hardship, which we aimed to describe among adult survivors of adolescent and young adult (AYA) cancers in the United States. Methods We identified adult (aged ≥18 years) survivors of AYA cancers (diagnosed ages 15-39 years) and adults without a cancer history from the 2010-2018 National Health Interview Surveys. Proportions of respondents reporting measures in different hardship domains (material [eg, problems paying bills], psychological [eg, distress] , and behavioral [eg, forgoing care due to cost]) were compared between groups using multivariable logistic regression models and hardship intensity (cooccurrence of hardship domains) using ordinal logistic regression. Cost-related changes in prescription medication use were assessed separately. Results A total of 2588 AYA cancer survivors (median = 31 [interquartile range = 26-35] years at diagnosis; 75.0% more than 6 years and 50.0% more than 16 years since diagnosis) and 256 964 adults without a cancer history were identified. Survivors were more likely to report at least 1 hardship measure in material (36.7% vs 27.7%, P & lt; .001) and behavioral (28.4% vs 21.2%, P & lt; .001) domains, hardship in all 3 domains (13.1% vs 8.7%, P & lt; .001), and at least 1 cost-related prescription medication nonadherence (13.7% vs 10.3%, P = .001) behavior. Conclusions Adult survivors of AYA cancers are more likely to experience medical financial hardship across multiple domains compared with adults without a cancer history. Health-care providers must recognize this inequity and its impact on survivors’ health, and multifaceted interventions are necessary to address underlying causes.
    Type of Medium: Online Resource
    ISSN: 0027-8874 , 1460-2105
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2021
    detail.hit.zdb_id: 2992-0
    detail.hit.zdb_id: 1465951-7
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  • 2
    Online Resource
    Online Resource
    Oxford University Press (OUP) ; 2020
    In:  JNCI: Journal of the National Cancer Institute Vol. 112, No. 5 ( 2020-05-01), p. 498-506
    In: JNCI: Journal of the National Cancer Institute, Oxford University Press (OUP), Vol. 112, No. 5 ( 2020-05-01), p. 498-506
    Abstract: Use of genomic testing is increasing in the United States. Testing can be expensive, and not all tests and related treatments are covered by health insurance. Little is known about how often oncologists discuss costs of testing and treatment or about the factors associated with those discussions. Methods We identified 1220 oncologists who reported discussing genomic testing with their cancer patients from the 2017 National Survey of Precision Medicine in Cancer Treatment. Multivariable polytomous logistic regression analyses were used to assess associations between oncologist and practice characteristics and the frequency of cost discussions. All statistical tests were two-sided. Results Among oncologists who discussed genomic testing with patients, 50.0% reported often discussing the likely costs of testing and related treatments, 26.3% reported sometimes discussing costs, and 23.7% reported never or rarely discussing costs. In adjusted analyses, oncologists with training in genomic testing or working in practices with electronic medical record alerts for genomic tests were more likely to have cost discussions sometimes (odds ratio [OR] = 2.09, 95% confidence interval [CI] = 1.19 to 3.69) or often (OR = 2.22, 95% CI = 1.30 to 3.79), respectively, compared to rarely or never. Other factors statistically significantly associated with more frequent cost discussions included treating solid tumors (rather than only hematological cancers), using next-generation sequencing gene panel tests, having higher patient volume, and working in practices with higher percentages of patients insured by Medicaid, or self-paid or uninsured. Conclusions Interventions targeting modifiable oncologist and practice factors, such as training in genomic testing and use of electronic medical record alerts, may help improve cost discussions about genomic testing and related treatments.
    Type of Medium: Online Resource
    ISSN: 0027-8874 , 1460-2105
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2020
    detail.hit.zdb_id: 2992-0
    detail.hit.zdb_id: 1465951-7
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  • 3
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2018
    In:  Journal of Clinical Oncology Vol. 36, No. 30_suppl ( 2018-10-20), p. 68-68
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 36, No. 30_suppl ( 2018-10-20), p. 68-68
    Abstract: 68 Background: Policy makers, health care providers and patients are increasingly concerned about rising costs for prescription drugs and cost-related medication non-adherence (CRN). This study aims to evaluate the relationship between cancer history and CRN as well as cost-coping strategies, by health insurance coverage. Methods: We used the National Health Interview Survey data from 2013-2016 to identify adults age 18-64 with (n = 3 599) and without (n = 56 909) a cancer history. Cost-related changes in medication use included a) CRN (skipping, taking less or delaying medication because of cost), and b) cost-coping strategies (requesting lower cost medication or using alternative therapies to save money). Separate multivariable logistic regressions were used to calculate the adjusted percentages of CRN and cost-coping strategies associated with cancer history, stratified by health insurance. Results: Cancer survivors reported higher percentages of CRN (14.5% vs. 12.1%, P 〈 .001) and were slightly more likely to report using cost-coping strategies (24.4% vs. 22.8%, P = .060) compared with adults without a cancer history. The magnitude of differences in CRN by cancer history varied by insurance type (any private 10.2% vs. 8.6%, P = .034; public only 17.9% vs. 14.2%, P = .010; uninsured 41.0% vs. 33.2%, P = .064). Among the privately insured, the difference in CRN by cancer history was greatest among those enrolled in high deductible health plans (HDHP) without health saving accounts (HSA) (16.9% vs. 10.9%, P = .002). Regardless of cancer history, CRN and use of cost-coping strategies were highest for those uninsured, enrolled in HDHP and without HSA, and without prescription drugs coverage under their health plan (all P 〈 .001). Conclusions: Cancer survivors are prone to CRN and more likely to use cost-coping strategies to minimize financial hardship. Expanding options for health insurance coverage and use of HSA, and prescription drug coverage may be effective strategies to address CRN.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2018
    detail.hit.zdb_id: 2005181-5
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  • 4
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 27_suppl ( 2019-09-20), p. 143-143
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 27_suppl ( 2019-09-20), p. 143-143
    Abstract: 143 Background: Childhood cancer survival varies by race/ethnicity in the United States. This study evaluated the impact of potentially modifiable characteristics - health insurance and area-level social deprivation - on racial/ethnic disparities in childhood cancer survival nationwide. Methods: We identified 65,113 childhood cancer patients aged 〈 18 years newly diagnosed with any of 10 common cancer types (e.g. central nervous system (CNS) neoplasms, acute lymphoblastic leukemia (ALL), Hodgkin lymphoma) from the 2004-2014 National Cancer Database. Cox proportional hazard models were used to compare survival probabilities by race and ethnicity (non-Hispanic white (NHW) vs non-Hispanic black (NHB), Hispanic, and non-Hispanic other (NH other)) for each cancer type. We conducted mediation analyses by the mma R package to evaluate the racial/ethnic survival disparities mediated by health insurance (private, Medicaid, and uninsured) and social deprivation index (SDI) quartile. SDI is a composite measure of deprivation based on seven characteristics (e.g. income, education, employment). Results: Compared to NHW, worse survival were observed for NHB (HR (hazard ratio): 1.4, 95% CI: 1.3-1.5), Hispanic (HR: 1.2, 95% CI: 1.1-1.2), and NH other (HR: 1.2, 95% CI: 1.1-1.3) for all cancer sites combined after adjusting for sociodemographic characteristics other than health insurance and SDI. Health insurance explained 20% of the survival disparities and SDI explained 19% of the disparity between NHB vs NHW; health insurance explained 48% of the survival disparities and SDI explained 45% of the disparity between Hispanic vs NHW. For ALL, health insurance significantly explained 15% and 18% of the survival disparities between NHB and Hispanic vs NHW, respectively. SDI significantly explained 19% and 31% of the disparities, respectively. Conclusions: Health insurance and SDI mediated racial/ethnic survival disparities for several childhood cancers. Expanding insurance coverage and improving healthcare access in disadvantaged areas may effectively reduce disparities for these cancer sites.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 5
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2019
    In:  Journal of Clinical Oncology Vol. 37, No. 27_suppl ( 2019-09-20), p. 155-155
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 37, No. 27_suppl ( 2019-09-20), p. 155-155
    Abstract: 155 Background: Nearly 40% of cancer survivors are of working age in the U.S. Access to high quality diagnosis, treatment, and survivorship care requires both health insurance coverage and sick leave, key components of employer health benefits. This study examines work limitations, paid sick leave, and employer offered health insurance among cancer survivors. Methods: We used the National Health Interview Survey (2001-2017) to identify cancer survivors aged 18-64 years. Work limitations were asked among all cancer survivors regardless of work status (n = 15,247), and categorized into unable to work, limited in type/amount of work, and not limited at all. Paid sick leave and employer offered health insurance offered were asked of cancer survivors who were working in the last week (n = 8741). We used generalized ordinal logistic regressions to examine work limitation and employer health benefits among cancer survivors, controlling for demographic characteristics, time since cancer diagnosis, number of cancer diagnoses, income, and comorbidities. Stratified analyses by type of workplace (private sector, federal/state/local government, and self-employed), and hours worked per week (full time with 35+ hours per week vs part time 〈 35 hours per week) was conducted. Results: Among cancer survivors aged 18-64 years, 10.7% and 5.3% reported unable to work at all and limited in types/amounts of work, respectively; 57.7% and 67.6% of those working in the last week received paid sick leave and employer offered health insurance, respectively. In stratified analyses, government jobs were associated with the highest paid sick leave and employer insurance (85.7% and 85.6%, respectively), followed by private sector (58.3% and 70.7%, respectively), and self-employed (8.3% and 15.7%), respectively. Moreover, full time jobs had higher paid sick leave (65.2% and 21.9%, respectively) and employer insurance (75.7% and 29.1%, respectively) then part time jobs. Conclusions: Cancer survivors experience work limitations and many working cancer survivors do not receive paid sick leave or health insurance from their employers. Evaluation of the effects of employer-based health benefits on survivorship care and outcomes will be important for future research.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2019
    detail.hit.zdb_id: 2005181-5
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  • 6
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. 6581-6581
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 6581-6581
    Abstract: 6581 Background: The coronavirus disease 2019 (COVID-19) pandemic resulted in delayed medical care that may have led to increased death rates in 2020 among people with medical conditions such as cancer. This study examined changes in cancer-related mortality between 2019 and 2020. Methods: We used the US 2019-2020 Multiple Cause of Death database from the CDC WONDER to identify cancer-related deaths, defined as decedents with invasive or noninvasive cancer as a contributing cause of death (ICD-10 codes: C00-C97 and D00-D09). We compared age-standardized cancer-related annual and monthly mortality rates (per 100,000 person-years and person-months, respectively) in January-December 2020 (pandemic) versus January-December 2019 (pre-pandemic) overall and stratified by rurality and place of death. We calculated the 2020 excess death by comparing the numbers of observed death with the projected death based on age-specific cancer-related death rate from 2015 to 2019. Results: The number of cancer-related deaths was 686 054 in 2020, up from 664 888 in 2019, with an annual increase of 3.2%. Compared to the number of projected deaths for 2020 (666 286), the number of cancer-related excess deaths was 19 768 in 2020. Annual age-standardized cancer-related mortality rate (per 100,000 person-years) continuously decreased from 173.7 in 2015 to 162.1 in 2019, while it increased to 164.1 in 2020 (2020 vs 2019 rate ratio (RR): 1.013, 95% confidence interval (CI): 1.009 - 1.016). The cancer-related monthly mortality rate was higher in April 2020 (RR: 1.032, 95% CI: 1.020 – 1.044) when healthcare capacity was most challenged by the pandemic, subsequently declined in May and June 2020, and higher mortality rates were again observed each month from July to December 2020 compared to 2019. In large metropolitan areas, the largest increase in cancer-related mortality was observed in April 2020, while in non-metropolitan areas, the largest increases occurred from July to December 2020, coinciding with the time-spatial pattern of COVID-19 incidence in the country. Compared to 2019, cancer-related mortality rates were lower from March to December 2020 in medical facilities, hospice facilities, and nursing homes or long-term care settings but higher in decedent's homes. Conclusions: The COVID-19 pandemic led to significant increases in cancer-related deaths in 2020 versus 2019. Ongoing evaluation of the spatial-temporal effects of the pandemic on cancer care and outcomes is warranted, especially in relation to patterns in vaccine uptake and COVID-19 hospitalization rates.[Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 7
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 16_suppl ( 2022-06-01), p. 6600-6600
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 16_suppl ( 2022-06-01), p. 6600-6600
    Abstract: 6600 Background: Use of genomic testing, especially multi-marker tumor panels, is increasing in the United States. Not all tests and related treatments are covered by health insurance, which can result in substantial patient out-of-pocket (OOP) costs. Although most patients are concerned about OOP costs, little is known about oncologists’ treatment decisions with respect to patient health insurance coverage and OOP costs for genomic testing. Methods: We identified 1,049 oncologists who reported using multi-marker tumor panels from the 2017 National Survey of Precision Medicine in Cancer Treatment. Separate multivariable ordinal logistic regression analyses were used to assess the associations of oncologist, practice, and patient characteristics and the oncologist ratings of the importance of health insurance coverage and OOP cost for genomic testing as part of treatment decisions. Results: Among oncologists, 47.3%, 32.7% and 20.0% reported that patient insurance coverage for genomic testing was very important, somewhat important, and a little/not important, respectively, in treatment decisions. 56.9%, 28.0%, and 15.2% reported patient OOP costs for genomic testing were very, somewhat, or a little/not important in treatment decisions, respectively. In adjusted ordinal logistic regression analyses, oncologists who used next-generation gene sequencing tests were more likely to report patient health insurance and OOP costs for testing as important (odds ratio (OR) = 2.0; 95% confidence interval (CI): 1.2, 3.5) and (OR = 2.1; 95%CI: 1.2, 3.7), respectively) in treatment decisions. Oncologists with more years of experience, who treated solid tumors (rather than only hematological cancers), worked in practices without molecular tumor boards for genomic tests, and with higher percentages of patients insured by Medicaid or self-paid/uninsured also reported insurance coverage or OOP costs for testing were important in treatment decisions (all p 〈 0.05). Conclusions: Physician, practice, and patient characteristics were associated with oncologists’ ratings of the importance of patient health insurance and OOP costs in treatment decisions. Identifying factors that influence physicians’ priorities in treatment decisions may inform the development and targeting of interventions to support patient and physician discussions about oncology care.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 8
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2022
    In:  Journal of Clinical Oncology Vol. 40, No. 28_suppl ( 2022-10-01), p. 47-47
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 40, No. 28_suppl ( 2022-10-01), p. 47-47
    Abstract: 47 Background: Financial hardship is experienced by approximately half of working-age individuals diagnosed with cancer. Many working individuals diagnosed with cancer also experience disruptions with their employment. This study examines whether employment disruptions are associated with financial hardship among individuals diagnosed with cancer in the US. Methods: We utilized data from the 2016/2017 Medical Expenditure Panel Survey (MEPS) Experiences with Cancer self-administered questionnaires and identified individuals diagnosed with cancer at age 〉 18 who worked for pay at the time of or following their cancer diagnosis. Employment disruption was defined as taking extended paid time off work; switching to a part time or less demanding job or to a flexible work schedule; and/or retiring early due to cancer, cancer treatment, or late effects. Financial hardship was defined in 3 domains: material (borrowing money, financial sacrifices, or being unable to cover medical costs); psychological (worrying about medical bills, financial stability, keeping job/income, or future earnings); and behavioral (delaying/forgoing medical care because of cost). Multivariable logistic regression analyses adjusting for the MEPS survey design were used to determine associations of employment disruption due to cancer with any financial hardship and with financial hardship intensity while controlling for patient demographic, health insurance, and clinical characteristics. Results: Among 732 individuals with a cancer history, 47.4% experienced employment disruptions and 55.9% experienced any financial hardship. Financial hardship was significantly more common among cancer survivors with employment disruption than without disruptions (68.7% vs. 44.5%; p-value of difference 〈 0.0001). Findings were consistent across multiple hardship measures and domains. Cancer survivors with employment disruptions were more likely to have greater (OR = 2.8; 95% CI 2.0, 3.9) financial hardship intensity. Individuals of race/ethnicity other than non-Hispanic White were also more likely to experience financial hardship while older individuals, women, and those with college education or who were married were less likely to experience financial hardship. Conclusions: Employment disruptions are common and significantly associated with multiple types of financial hardship among cancer survivors. Employer workplace accommodation and other policies to minimize disruptions among individuals diagnosed with cancer may reduce financial hardship in this vulnerable population.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2022
    detail.hit.zdb_id: 2005181-5
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  • 9
    Online Resource
    Online Resource
    American Society of Clinical Oncology (ASCO) ; 2023
    In:  Journal of Clinical Oncology Vol. 41, No. 16_suppl ( 2023-06-01), p. 6537-6537
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 41, No. 16_suppl ( 2023-06-01), p. 6537-6537
    Abstract: 6537 Background: Cancer survivors often face substantial out-of-pocket medical costs, which can adversely affect their financial well-being. Cutting expenses on food and housing to save money are common coping strategies. However, little is known about the extent to which food insecurities and non-medical financial worries affect mortality risk after consideration of medical financial hardship. Methods: The 2013-2018 National Health Interview Survey (NHIS) and the NHIS linked mortality files with vital status through December 31, 2019 were used to identify cancer survivors (ages 18-64: n=5,110; ages 65-79: n=4,949) and individuals without a cancer history (ages 18-64: n=115,643; ages 65-79: n=24,785). Medical financial hardship included 3 domains: material, psychological, and behavioral. Food insecurity (e.g., worry about food running out) and non-medical financial worries (e.g., paying for monthly bills and housing) were separately summarized and categorized as severe, moderate, and minor/none levels. Using age as the time scale, associations of cancer history, food insecurity and non-medical financial worry and mortality risk were examined with weighted Cox proportional hazards models. Adjusted models included medical financial hardship, sex, educational attainment, marital status, health insurance, comorbid conditions, and survey year. All estimates accounted for complex survey design. Results: In our sample, about 13.8% (ages 18-64) and 7.9% (ages 65-79) reported moderate to severe levels of food insecurity, respectively; 32.1% (ages 18-64) and 19.2% (ages 65-79) reported moderate to severe levels of non-medical financial worries, respectively. In adjusted analyses, cancer survivors had increased mortality risk. After controlling for medical financial hardship, food insecurity was associated with higher mortality risk in both age groups, following a dose-response relationship (Table); Non-medical financial worry was associated with higher mortality risk in the 65-79 age group (Table). Conclusions: Standardized and comprehensive assessment of financial hardship and other social needs, such food insecurity, is essential to identify and mitigate adverse economic impacts of cancer. [Table: see text]
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2023
    detail.hit.zdb_id: 2005181-5
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  • 10
    In: Journal of Clinical Oncology, American Society of Clinical Oncology (ASCO), Vol. 38, No. 15_suppl ( 2020-05-20), p. 7043-7043
    Abstract: 7043 Background: Concurrent chemoradiation therapy (cCRT) has been shown to improve survival outcomes among inoperable stage III non-small cell lung cancer (NSCLC) patients compared to sequential CRT (sCRT) and single-modality therapy in clinical trials. However, many “real world” patients do not receive CRT, and less is known about the survival benefits of concurrent CRT vs other treatment modalities in pragmatic, non-clinical trial settings. Methods: We used the National Cancer Database (2004-2011) to identify unresected stage III NSCLC patients (ages 18-79 years) with Charlson comorbidity score ≤1 and 5-year follow up through the end of 2016. cCRT was defined as the initiations of chemotherapy (CT) and radiation therapy (RT) that were ≤14 days (n = 30,290) apart, whereas sCRT was defined as 〉 14 days apart (total n = 10,596). The remaining three treatment groups included CT only (n = 11,216), RT only (n = 7,772), and neither CT/RT during first course treatment (n = 10,694). Cox proportional hazard model was used to examine the 5-year survival by treatment modalities, controlling for patient demographics, comorbidity score, health insurance, facility type, area-level social deprivation index (SDI, a composite measure for area-level socio-economic status), driving time to the treatment facility, diagnosis year, and region. Adjusted hazard ratios (HR), and medium survivals were generated by treatment modalities. Results: Among 70,568 unresected stage III NSCLC patients, 61,487 (87.1%) patients died within the 5-year follow-up period. In adjusted analyses, cCRT and sCRT had similar survival (median survivals: 15.3 months), whereas other treatment modalities were associated with worse survival compared to cCRT: CT only (median survival: 10.8 months; HR [95%CI]: 1.46 [1.43-1.50] ), RT only (median survival: 6.7 months; HR [95%CI]: 1.93[1.88-1.99] ), and no treatment (median survival: 3.2 months; HR [95%CI]: 2.64 [2.58-2.71] ), all p 〈 0.001. Higher comorbidity score (Charlson score 1 vs 0, HR [95%CI]: 1.18 [1.16-1.21] ), non-private insurance (Medicaid: 1.16 [1.12-1.20]; Medicare: 1.10 [1.08-1.13] ; uninsured: 1.21 [1.16-1.26]) were all associated with worse survival (all p 〈 0.001). Conclusions: Concurrent CRT and sequential CRT have similar survival outcomes among unresected stage III NSCLC patients with minimum comorbidities, however, single modality and no therapy are associated with much poorer survival among “real world” patients, and should be avoided unless clinically appropriate.
    Type of Medium: Online Resource
    ISSN: 0732-183X , 1527-7755
    RVK:
    RVK:
    Language: English
    Publisher: American Society of Clinical Oncology (ASCO)
    Publication Date: 2020
    detail.hit.zdb_id: 2005181-5
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