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Servadio M, Rosa AC, Addis A, Kirchmayer U, Cozzi I, Michelozzi P, Cipelli R, Heiman F, Davoli M, Belleudi V. Investigating socioeconomic disparities in lung cancer diagnosis, treatment and mortality: an Italian cohort study. BMC Public Health 2024; 24:1543. [PMID: 38849792 PMCID: PMC11161996 DOI: 10.1186/s12889-024-19041-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/10/2024] [Accepted: 06/03/2024] [Indexed: 06/09/2024] Open
Abstract
BACKGROUND Lung cancer is one of the most lethal cancers worldwide and patient clinical outcomes seem influenced by their socioeconomic position (SEP). Since little has been investigated on this topic in the Italian context, our aim was to investigate the role of SEP in the care pathway of lung cancer patients in terms of diagnosis, treatment and mortality. METHODS This observational retrospective cohort study included patients discharged in the Lazio Region with a lung cancer diagnosis between 2014 and 2017. In the main analysis, educational level was used as SEP measure. Multivariate models, adjusted for demographic and clinical variables, were applied to evaluate the association between SEP and study outcomes, stratified for metastatic (M) and non-metastatic (NM) cancer. We defined a diagnosis as 'delayed' when patients received their initial cancer diagnosis after an emergency department admission. Access to advanced lung cancer treatments (high-cost, novel and innovative treatments) and mortality were investigated within the 24-month period post-diagnosis. Moreover, two additional indicators of SEP were examined in the sensitivity analysis: one focusing on area deprivation and the other on income-based exemption. RESULTS A total of 13,251 patients were identified (37.3% with metastasis). The majority were males (> 60%) and over half were older than 70 years. The distribution of SEP levels among patients was as follow: 31% low, 29% medium-low, 32% medium-high and 7% high. As SEP increased, the risks of receiving a delayed diagnosis ((high vs low: M: OR = 0.29 (0.23-0.38), NM: OR = 0.20 (0.16-0.25)) and of mortality ((high vs low M: OR = 0.77 (0.68-0.88) and NM: 0.61 (0.54-0.69)) decreased. Access to advanced lung cancer treatments increased in accordance with SEP only in the M cohort (high vs low: M: OR = 1.57 (1.18-2.09)). The primary findings were corroborated by sensitivity analysis. CONCLUSIONS Our study highlighted the need of public health preventive and educational programs in Italy, a country where the care pathway of lung cancer patients, especially in terms of diagnosis and mortality, appears to be negatively affected by SEP level.
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Affiliation(s)
- Michela Servadio
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
| | - Alessandro C Rosa
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy.
| | - Antonio Addis
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
| | - Ursula Kirchmayer
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
| | - Ilaria Cozzi
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
| | - Paola Michelozzi
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
| | | | | | - Marina Davoli
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
| | - Valeria Belleudi
- Department of Epidemiology, Regional Health Service Lazio, Rome, Italy
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Wang S, Chen L, Chen D, Chao J, Shao Y, Tang K, Chen W. Effect of Marital Status on the Survival of Patients With Adenocarcinoma of the Esophagogastric Junction: A Population-Based, Propensity-Matched Study. Cancer Control 2021; 28:10732748211066309. [PMID: 34910613 PMCID: PMC8689606 DOI: 10.1177/10732748211066309] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022] Open
Abstract
Background Marital status has been reported as an independent prognostic factor in various types of malignancies. However, the association between marital status and outcomes of patients with adenocarcinoma of the esophagogastric junction (AEG) has not been fully explored. To this end, we aimed to investigate the effect of marital status on survival of AGE patients. Methods The Surveillance Epidemiology and End Results (SEER) database (2010–2015) was used to extract eligible patients with Siewert type II AEG. Meanwhile, propensity score matching was performed to match 1576 unmarried patients with 1576 married patients. Kaplan–Meier method with log-rank test was used to plot survival curves, univariate and multivariate Cox regression analyses were adopted to investigate the association of marital status with overall survival (OS) and cancer-specific survival (CSS) in AEG patients before and after matching. Results Multivariate analysis in the unmatched cohort revealed that marital status was an independent prognostic factor in patients with Siewert type II AEG. Unmarried patients had poorer OS (hazard ratio [HR]: 1.22, 95% confidence interval [CI]: 1.12–1.29, P < .001) and poorer CSS (HR: 1.19, 95% CI: 1.10–1.29, P < .001) than married patients before matching. Additionally, widowed patients had the poorest OS (HR: 1.26, 95% CI: 1.11–1.44, P < .001) and CSS (HR: 1.29, 95% CI: 1.12–1.48, P < .001) compared with married patients. Furthermore, unmarried status remained as an independent prognostic for both OS (HR: 1.20, 95% CI: 1.10–1.31, P < .001) and CSS (HR: 1.18, 95% CI: 1.08–1.30, P < .001) in 1:1 propensity score-matched analysis. Subgroup analysis further revealed that OS and CSS rates were significantly higher in married patients than unmarried ones in most subgroups stratified by different variables. Conclusions This population-based study identified that marital status was an independent prognostic indicator for AEG patients. Married AEG patients had better prognosis than their unmarried counterparts.
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Affiliation(s)
- Sihan Wang
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Liubo Chen
- Department of Colorectal Surgery and Oncology, Key Laboratory of Cancer Prevention and Intervention, Ministry of Education, the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
- Liubo Chen, The Second Affiliated Hospital, Zhejiang University School of Medicine, 88 Jiefang Rd, Hangzhou, Zhejiang 310009, China.
| | - Dongdong Chen
- Cancer Institute (Key Laboratory of Cancer Prevention and Intervention, China National Ministry of Education, Key Laboratory of Molecular Biology in Medical Sciences), the Second Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou, Zhejiang, China
| | - Jian Chao
- Department of Electrocardigram, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang, China
| | - Yangliu Shao
- Department of Hematology, Chinese PLA General Hospital, Beijing, China
| | - Kejun Tang
- Department of Surgery, Women’s Hospital, School of Medicine, Zhejiang University, Hangzhou, Zhejiang, China
| | - Wenteng Chen
- College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, China
- Wenteng Chen, College of Pharmaceutical Sciences, Zhejiang University, Hangzhou, Zhejiang, China.
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3
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Brigham E, Allbright K, Harris D. Health Disparities in Environmental and Occupational Lung Disease. Clin Chest Med 2021; 41:623-639. [PMID: 33153683 DOI: 10.1016/j.ccm.2020.08.009] [Citation(s) in RCA: 10] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Pulmonary health disparities disproportionately impact disadvantaged and vulnerable populations. This article focuses on disparities in disease prevalence, morbidity, and mortality for asthma, chronic obstructive pulmonary disease, pneumoconiosis, and lung cancer. Disparities are categorized by race, age, sex, socioeconomic status, and geographic region. Each category highlights differences in risk factors for the development and severity of lung disease. Risk factors include social, behavioral, economic, and biologic determinants of health (occupational/environmental exposures, psychosocial stressors, smoking, health literacy, health care provider bias, and health care access). Many of these risk factors are complex and inter-related; strategies proposed to decrease disparities require multilevel approaches.
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Affiliation(s)
- Emily Brigham
- Division of Pulmonary and Critical Care, Johns Hopkins University, 1830 East Monument Street 5th Floor, Baltimore, MD 21287, USA. https://twitter.com/emily_brigham
| | - Kassandra Allbright
- Department of Medicine, Johns Hopkins University, 1830 East Monument Street 5th Floor, Baltimore, MD 21287, USA
| | - Drew Harris
- Division of Pulmonary and Critical Care and Public Health Sciences, University of Virginia, Pulmonary Clinic 2nd Floor, 1221 Lee Street, Charlottesville, VA 22903, USA.
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4
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Zhou K, Shi H, Chen R, Cochuyt JJ, Hodge DO, Manochakian R, Zhao Y, Ailawadhi S, Lou Y. Association of Race, Socioeconomic Factors, and Treatment Characteristics With Overall Survival in Patients With Limited-Stage Small Cell Lung Cancer. JAMA Netw Open 2021; 4:e2032276. [PMID: 33433596 PMCID: PMC7804918 DOI: 10.1001/jamanetworkopen.2020.32276] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/29/2022] Open
Abstract
IMPORTANCE It has been established that disparities in race and socioeconomic status are associated with outcomes of non-small cell lung cancer. However, it remains unknown whether this extends to stage I, II, or III small cell lung cancer (SCLC), or limited-stage SCLC (L-SCLC). OBJECTIVE To investigate the associations of race, socioeconomic factors, and treatment characteristics with survival among patients with L-SCLC. DESIGN, SETTING, AND PARTICIPANTS Demographic information for patients with L-SCLC diagnosed between 2004 and 2014 was obtained from the National Cancer Database. The follow-up end point is death or last follow-up (date of last contact). Patients were divided into 5 mutually exclusive cohorts by race. Data analysis was performed in October 2019. MAIN OUTCOMES AND MEASURES Cox proportional hazards models were used to calculate univariable and multivariable models. Multivariable analyses were conducted to assess the associations of race and socioeconomic factors with risk-adjusted outcomes. Overall survival between groups was depicted by Kaplan-Meier curves. RESULTS Of 72 409 patients analyzed (median [range] age, 67.0 [23.0-90.0] years), 40 289 (55.6%) were women. The distribution of disease stage was 10 619 patients (14.7%) with stage I disease, 7689 patients (10.6%) with stage II disease, and 54 101 patients (74.7%) with stage III disease. The median (range) duration of follow-up was 8.2 (2.4-15.8) months. Compared with White patients, the hazard of death decreased to 0.92 (95% CI, 0.89-0.95; P < .001) for African American patients and 0.83 (95% CI, 0.77-0.91; P < .001) for Asian patients. The difference in median survival among different racial groups was significant only among those with stage III SCLC. Other factors associated with better survival were female sex, high income, high education, private insurance, diagnostic confirmation by positive cytological analysis, increase in number of sampled regional lymph nodes, and earlier stage at diagnosis. CONCLUSIONS AND RELEVANCE This analysis highlights disparities in race and socioeconomic factors associated with outcomes of L-SCLC. Racial minorities, including African American and Asian patients, have better survival than White patients for L-SCLC after adjustment for sociodemographic factors.
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Affiliation(s)
- Kexun Zhou
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
| | - Huashan Shi
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
| | - Ruqin Chen
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
| | - Jordan J. Cochuyt
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida
| | - David O. Hodge
- Division of Biomedical Statistics and Informatics, Mayo Clinic, Jacksonville, Florida
| | - Rami Manochakian
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
| | - Yujie Zhao
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
| | - Sikander Ailawadhi
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
| | - Yanyan Lou
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, Florida
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5
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Li W, Liu G, Lv S, Xu S, Liang H, Liu K, Qiang M, Chen X, Guo X, Lv X, Xia W, Xiang Y. Educational disparities in nasopharyngeal carcinoma survival: Temporal trends and mediating effects of clinical factors. Clin Transl Med 2020; 10:e134. [PMID: 32696529 PMCID: PMC7418802 DOI: 10.1002/ctm2.134] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2020] [Revised: 07/05/2020] [Accepted: 07/06/2020] [Indexed: 11/23/2022] Open
Affiliation(s)
- Wang‐Zhong Li
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Guo‐Ying Liu
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Shu‐Hui Lv
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Sen‐Kui Xu
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Radiation OncologySun Yat‐Sen University Cancer Center Guangzhou China
| | - Hu Liang
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Kui‐Yuan Liu
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Meng‐Yun Qiang
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Xi Chen
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Xiang Guo
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Xing Lv
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Wei‐Xiong Xia
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
| | - Yan‐Qun Xiang
- State Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer MedicineGuangdong Key Laboratory of Nasopharyngeal Carcinoma Diagnosis and TherapySun Yat‐Sen University Cancer Center Guangzhou China
- Department of Nasopharyngeal CarcinomaSun Yat‐Sen University Cancer Center Guangzhou China
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6
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Shah M, Parmar A, Chan KKW. Socioeconomic disparity trends in diagnostic imaging, treatments, and survival for non-small cell lung cancer 2007-2016. Cancer Med 2020; 9:3407-3416. [PMID: 32196964 PMCID: PMC7221447 DOI: 10.1002/cam4.2978] [Citation(s) in RCA: 18] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2019] [Revised: 12/30/2019] [Accepted: 02/19/2020] [Indexed: 12/25/2022] Open
Abstract
Socioeconomic status (SES) has led to treatment and survival disparities; however, limited data exist for non‐small cell lung cancer (NSCLC). This study investigates the impact of SES on NSCLC diagnostic imaging, treatment, and overall survival (OS), and describes temporal disparity trends. The Ontario Cancer Registry was used to identify NSCLC patients diagnosed between 2007 and 2016. Through linkage to administrative datasets, patients’ demographics, imaging, treatment, and survival were obtained. Based on median household neighborhood income, the Ontario population was divided into five income quintiles (Q1‐Q5; Q1 = lowest income). Multivariable regressions assessed SES association with OS, imaging, treatment receipt, and treatment delay, and their interaction with year of diagnosis to understand temporal trends. Endpoints were adjusted for demographics, stage and comorbidities, along with treatments and imaging for OS. A total of 50 542 patients were identified. Higher SES patients (Q5 vs. Q1) showed improved 5‐year OS (hazard ratio, 0.89; 95% confidence interval [CI], 0.87‐0.92; P < .0001) and underwent greater magnetic resonance imaging head (stages IA‐IV; odds ratio [OR], 1.24; 95% CI, 1.16‐1.32; P < .0001), lung resection (IA‐IIIA; OR, 1.58; 95% CI, 1.43‐1.74; P < .0001), platinum‐based vinorelbine adjuvant chemotherapy (IB‐IIIA; OR, 1.63; 95% CI, 1.39‐1.92; P < .0001), palliative radiation (IV; OR, 1.14; 95% CI, 1.05‐1.25; P = .023), and intravenous chemotherapy (IV; OR, 1.45; 95% CI, 1.32‐1.60; P < .0001). Lower SES patients underwent greater thoracic radiation (IA‐IIIB; OR, 0.86; 95% CI, 0.79‐0.94; P = .0003). Across 2007‐2016, socioeconomic disparities remain largely unchanged (interaction P > .05) despite widening income inequality.
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Affiliation(s)
- Monica Shah
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada
| | - Ambica Parmar
- Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada
| | - Kelvin K W Chan
- Faculty of Medicine, University of Toronto, Toronto, ON, Canada.,Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada.,Canadian Centre for Applied Research in Cancer Control, Toronto, ON, Canada.,Cancer Care Ontario, Toronto, ON, Canada
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7
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Lin CK, Hsu YT, Christiani DC, Hung HY, Lin RT. Risks and burden of lung cancer incidence for residential petrochemical industrial complexes: A meta-analysis and application. ENVIRONMENT INTERNATIONAL 2018; 121:404-414. [PMID: 30261461 DOI: 10.1016/j.envint.2018.09.018] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/06/2018] [Revised: 08/20/2018] [Accepted: 09/08/2018] [Indexed: 06/08/2023]
Abstract
BACKGROUND Lung cancer is one of the most common cancers in the world. Higher incidence of lung cancer may be associated with residential proximity to a petrochemical industrial complex (PIC) due to exposure to various carcinogens, although results from previous epidemiologic studies remain inconclusive. Because disease burden due to residential inequality is a public health and societal concern, this study analyzed published data to estimate lung cancer incidence in association with residential proximity to PICs. METHODS We performed a meta-analysis on selected epidemiologic studies that met the following criteria: lung cancer incidence was coded by the International Classification of Diseases; exposure groups were clearly defined as residents living near PICs; and confidence intervals were available or calculable from original articles. We further applied a population attributable factor (PAF) method to estimate disease burden attributable to living near PICs in 22 European Union (EU) countries. RESULTS Meta-analysis included six studies with a total of 466,066 residents living near PICs in six countries. Residents living near PICs had a 19% higher risk of lung cancer compared to those who lived farther away (95% CI = 1.06-1.32). By sex, risks were higher and more significant for females (RR = 1.29; 95% CI = 1.09-1.54; P = 0.004) than males (RR = 1.12; 95% CI = 0.95-1.33; P = 0.173). By location, only groups in Europe had a significantly greater risk of lung cancer with exposure to PICs (95% CI = 1.03-1.33; P = 0.019), although groups in other locations showed similar trends. By bona fide observation, observation of residents for at least seven years provided sufficient latency to estimate risk (RR = 1.25; 95% CI = 1.17-1.34; P < 0.001). Regarding burden of lung cancer in 22 EU countries, 494 males and 478 females were attributed to living in the vicinity of a PIC annually. CONCLUSIONS Lung cancer incidence is significantly higher in individuals living near PICs. This result provides strong epidemiologic evidence for further policy to regulate potential pollutants near PICs. HIGHLIGHTS Higher incident rates of lung cancer for residents living close to petrochemical industry complex.
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Affiliation(s)
- Cheng-Kuan Lin
- Department of Environmental Health, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1 Room 1401, Boston, MA 02115, USA.
| | - Yu-Tien Hsu
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Kresge Building, 7th Floor, Boston, MA 02115, USA.
| | - David C Christiani
- Departments of Environmental Health and Epidemiology, Harvard T.H. Chan School of Public Health, 665 Huntington Avenue, Building 1 Room 1401, Boston, MA 02115, USA.
| | - Huei-Yang Hung
- Department of Clinical Education and Training, Kaohsiung Medical University Hospital, No. 100, Tzyou 1st Road, Kaohsiung 807, Taiwan
| | - Ro-Ting Lin
- Department of Occupational Safety and Health, College of Public Health, China Medical University, 91 Hsueh-Shih Road, Taichung 40402, Taiwan.
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8
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Finke I, Behrens G, Weisser L, Brenner H, Jansen L. Socioeconomic Differences and Lung Cancer Survival-Systematic Review and Meta-Analysis. Front Oncol 2018; 8:536. [PMID: 30542641 PMCID: PMC6277796 DOI: 10.3389/fonc.2018.00536] [Citation(s) in RCA: 44] [Impact Index Per Article: 7.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/28/2018] [Accepted: 10/31/2018] [Indexed: 12/14/2022] Open
Abstract
Background: The impact of socioeconomic differences on cancer survival has been investigated for several cancer types showing lower cancer survival in patients from lower socioeconomic groups. However, little is known about the relation between the strength of association and the level of adjustment and level of aggregation of the socioeconomic status measure. Here, we conduct the first systematic review and meta-analysis on the association of individual and area-based measures of socioeconomic status with lung cancer survival. Methods: In accordance with PRISMA guidelines, we searched for studies on socioeconomic differences in lung cancer survival in four electronic databases. A study was included if it reported a measure of survival in relation to education, income, occupation, or composite measures (indices). If possible, meta-analyses were conducted for studies reporting on individual and area-based socioeconomic measures. Results: We included 94 studies in the review, of which 23 measured socioeconomic status on an individual level and 71 on an area-based level. Seventeen studies were eligible to be included in the meta-analyses. The meta-analyses revealed a poorer prognosis for patients with low individual income (pooled hazard ratio: 1.13, 95 % confidence interval: 1.08–1.19, reference: high income), but not for individual education. Group comparisons for hazard ratios of area-based studies indicated a poorer prognosis for lower socioeconomic groups, irrespective of the socioeconomic measure. In most studies, reported 1-, 3-, and 5-year survival rates across socioeconomic status groups showed decreasing rates with decreasing socioeconomic status for both individual and area-based measures. We cannot confirm a consistent relationship between level of aggregation and effect size, however, comparability across studies was hampered by heterogeneous reporting of socioeconomic status and survival measures. Only eight studies considered smoking status in the analysis. Conclusions: Our findings suggest a weak positive association between individual income and lung cancer survival. Studies reporting on socioeconomic differences in lung cancer survival should consider including smoking status of the patients in their analysis and to stratify by relevant prognostic factors to further explore the reasons for socioeconomic differences. A common definition for socioeconomic status measures is desirable to further enhance comparisons between nations and across different levels of aggregation.
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Affiliation(s)
- Isabelle Finke
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Gundula Behrens
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Linda Weisser
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Medical Faculty Heidelberg, University of Heidelberg, Heidelberg, Germany
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany.,Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany.,German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Lina Jansen
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
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9
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Pierzynski JA, Ye Y, Lippman SM, Rodriguez MA, Wu X, Hildebrandt MAT. Socio-demographic, Clinical, and Genetic Determinants of Quality of Life in Lung Cancer Patients. Sci Rep 2018; 8:10640. [PMID: 30006595 PMCID: PMC6045646 DOI: 10.1038/s41598-018-25712-1] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2017] [Accepted: 01/12/2018] [Indexed: 12/15/2022] Open
Abstract
Patient reported health-related quality of life (QOL) is a major component of the overall well-being of cancer patients, with links to prognosis. In 6,420 lung cancer patients, we identified patient characteristics and genetic determinants of QOL. Patient responses from the SF-12 questionnaire was used to calculate normalized Physical Component Summary (PCS) and Mental Component Summary (MCS) scores. Further, we analyzed 218 single nucleotide polymorphisms (SNPs) in the p38 MAPK signaling pathway, a key mediator of response to cellular and environmental stress, as genetic determinants of QOL in a subset of the study population (N = 641). Trends among demographic factors for mean PCS and MCS included smoking status (PCS Ptrend < 0.001, MCS Ptrend < 0.001) and education (PCS Ptrend < 0.001, MCS Ptrend < 0.001). Similar relationships were seen for MCS. The homozygous rare genotype of MEF2B: rs2040562 showed an increased risk of a poor MCS (OR: 3.06, 95% CI: 1.05–8.92, P = 0.041). Finally, survival analysis showed that a low PCS or a MCS was associated with increased risks of five-year mortality (HR = 1.63, 95% CI: 1.51–1.77, HR = 1.23, 95% CI: 1.16–1.32, respectively) and there was a significant reduction in median survival time (Plog-rank < 0.001). These findings suggest that multiple factors contribute to QOL in lung cancer patients, and baseline QOL can impact survival.
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Affiliation(s)
- Jeanne A Pierzynski
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Yuanqing Ye
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Scott M Lippman
- Department of Medicine, University of California at San Diego Moores Cancer Center, La Jolla, California, USA
| | - Maria A Rodriguez
- Department of Lymphoma/Myeloma, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
| | - Xifeng Wu
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA.
| | - Michelle A T Hildebrandt
- Department of Epidemiology, The University of Texas MD Anderson Cancer Center, Houston, Texas, USA
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10
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Outcomes research: Integrating PROs into the clinic - overall survival benefit or not, it's worth the trouble. Nat Rev Clin Oncol 2017; 14:529-530. [PMID: 28719587 DOI: 10.1038/nrclinonc.2017.109] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
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11
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Froehner M, Wirth MP. Socio-economic deprivation and cancer survival in Germany. Int J Cancer 2014; 135:1989. [DOI: 10.1002/ijc.28827] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/05/2014] [Accepted: 02/19/2014] [Indexed: 11/07/2022]
Affiliation(s)
- Michael Froehner
- Department of Urology; University Hospital “Carl Gustav Carus,” Technische Universität Dresden; Fetscherstrasse 74 D-01307 Dresden Germany
| | - Manfred P. Wirth
- Department of Urology; University Hospital “Carl Gustav Carus,” Technische Universität Dresden; Fetscherstrasse 74 D-01307 Dresden Germany
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Søgaard M, Thomsen RW, Bossen KS, Sørensen HT, Nørgaard M. The impact of comorbidity on cancer survival: a review. Clin Epidemiol 2013; 5:3-29. [PMID: 24227920 PMCID: PMC3820483 DOI: 10.2147/clep.s47150] [Citation(s) in RCA: 385] [Impact Index Per Article: 35.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/20/2022] Open
Abstract
Background A number of studies have shown poorer survival among cancer patients with comorbidity. Several mechanisms may underlie this finding. In this review we summarize the current literature on the association between patient comorbidity and cancer prognosis. Prognostic factors examined include tumor biology, diagnosis, treatment, clinical quality, and adherence. Methods All English-language articles published during 2002–2012 on the association between comorbidity and survival among patients with colon cancer, breast cancer, and lung cancer were identified from PubMed, MEDLINE and Embase. Titles and abstracts were reviewed to identify eligible studies and their main results were then extracted. Results Our search yielded more than 2,500 articles related to comorbidity and cancer, but few investigated the prognostic impact of comorbidity as a primary aim. Most studies found that cancer patients with comorbidity had poorer survival than those without comorbidity, with 5-year mortality hazard ratios ranging from 1.1 to 5.8. Few studies examined the influence of specific chronic conditions. In general, comorbidity does not appear to be associated with more aggressive types of cancer or other differences in tumor biology. Presence of specific severe comorbidities or psychiatric disorders were found to be associated with delayed cancer diagnosis in some studies, while chronic diseases requiring regular medical visits were associated with earlier cancer detection in others. Another finding was that patients with comorbidity do not receive standard cancer treatments such as surgery, chemotherapy, and radiation therapy as often as patients without comorbidity, and their chance of completing a course of cancer treatment is lower. Postoperative complications and mortality are higher in patients with comorbidity. It is unclear from the literature whether the apparent undertreatment reflects appropriate consideration of greater toxicity risk, poorer clinical quality, patient preferences, or poor adherence among patients with comorbidity. Conclusion Despite increasing recognition of the importance of comorbid illnesses among cancer patients, major challenges remain. Both treatment effectiveness and compliance appear compromised among cancer patients with comorbidity. Data on clinical quality is limited.
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Affiliation(s)
- Mette Søgaard
- Department of Clinical Epidemiology, Institute of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
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Mohd Noor A, Sarker D, Vizor S, McLennan B, Hunter S, Suder A, Moller H, Spicer JF, Papa S. Effect of patient socioeconomic status on access to early-phase cancer trials. J Clin Oncol 2013; 31:224-30. [PMID: 23213088 DOI: 10.1200/jco.2012.45.0999] [Citation(s) in RCA: 28] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022] Open
Abstract
PURPOSE Little is known about the influence of socioeconomic factors on patient access to cancer trials. Differences should be considered to ensure generalizability of trial results and equality of access. METHODS Phase I trials unit referrals at our center over 5 years, from 2007 to 2012, were reviewed. Socioeconomic status was defined by the Index of Multiple Deprivation (IMD; 1, least deprived; 5, most deprived). Multivariate analysis was performed comparing incident cancer cases with referred patients and those ultimately enrolled onto a trial. RESULTS Four hundred thirty patients were referred (median age, 62 years). Compared with 10,784 incident cases, referral was less likely for patients in the more-deprived quintiles compared with the least deprived (IMD 5: odds ratio [OR], 0.53; 95% CI, 0.38 to 0.74). Once reviewed in the unit, enrollment onto a trial was not affected (IMD 5: OR, 0.81; 95% CI, 0.40 to 1.63). Ethnicity analysis showed the nonwhite population was less likely to be recruited (OR, 0.48; 95% CI, 0.26 to 0.88). This relationship was lost with adjustment for age, sex, cancer type, and deprivation index. CONCLUSION We show for the first time to our knowledge that socioeconomic status affects early-phase cancer trial referrals. The least-deprived patients are almost twice as likely to be referred compared with the most deprived. This may be because more-deprived patients are less suitable for a trial-as a result of comorbidities, for example-or because of inequalities that could be addressed by patient or referrer education. Once reviewed at the unit, enrollment onto a trial is not affected by deprivation.
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Zwitter M. Communication in view of limited resources: international perspective. Am Soc Clin Oncol Educ Book 2013:157-161. [PMID: 23714487 DOI: 10.14694/edbook_am.2013.33.157] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
Low socioeconomic status is associated with several risk factors for cancer, including a higher risk of presentation with advanced and often incurable disease. Treating patients in areas with limited resources requires not only the goal of saving or prolonging life, but also to alleviate suffering, including physical, emotional, and social components. Because complete coverage of all costs for modern cancer management by local institutions or governments is not possible in most (if not all) areas, most patients with cancer have to contribute toward the costs of their treatment. However, the demand for financially sustainable health care leads to restrictions in the spectrum of available treatments and often results in the creation of waiting lists for people requiring treatment. Communication between patients and providers in such circumstances is often challenging, especially when coupled with patients who have limited or no health care insurance and/or lack any ability to pay for services. Ultimately, any treatment plan should take into account the risks, benefits, personal goals, and beliefs of the individual with cancer. In areas of limited resources, the financial burden of treatment placed on the patient and his or her family must also be a part of the conversation and decisions regarding therapy. Within these parameters, sharing information and options becomes an indispensable condition for communication and the foundation of trust in the doctor-patient relationship.
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Affiliation(s)
- Matjaz Zwitter
- From the Institute of Oncology and Medical School, University of Maribor, Ljubljana, Slovenia
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