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Xu Q, Zhou M, Yin P, Jin D. Projections of cancer mortality by 2025 in central China: A modeling study of global burden of disease 2019. Heliyon 2023; 9:e13432. [PMID: 36820046 PMCID: PMC9937990 DOI: 10.1016/j.heliyon.2023.e13432] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/12/2022] [Revised: 01/26/2023] [Accepted: 01/30/2023] [Indexed: 02/05/2023] Open
Abstract
Background In China, there are few studies that have reported future estimations for cancer mortality. Therefore, this study aimed to assess cancer mortality in China and identify priorities for future cancer control strategies. Methods Based on the Global Burden of Disease 2019 study, we extracted data on cancer-related deaths from 1990 to 2019 in Hunan Province, China. Under the current trends evaluated using a joinpoint regression model, we fitted a linear regression model for cancer mortality projections by 2025. Results The age-standardized mortality rate of total cancer in Hunan, China, declined slowly and is projected to be 140.80 (95% confidence interval [CI]: 140.12-141.48) by 2025, with the mortality rate in men approximately twice that in women. In 2025, the top five causes of cancer-related deaths in males are projected to be lung, liver, colorectal, stomach, and esophageal cancers, with the corresponding causes in females being lung, breast, colorectal, liver, and cervical cancers. Between 2019 and 2025, male mortality rates due to liver and pancreatic cancer are expected to increase, while those due to the six leading female cancers will increase. Excess male deaths were associated with liver and esophageal cancers, while all main cancers in females will have excess mortality, except for colorectal cancer. Conclusion A comprehensive cancer spectrum characteristic of both developing and developed countries will remain in Hunan, China. Lung cancer remains the most common cause of cancer-related deaths, and tobacco control efforts are urgently required. Additional efforts should be made to promote universal screening, improve access to cancer healthcare services, optimize medical payment models, and enhance access to valuable anticancer drugs.
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Affiliation(s)
- Qiaohua Xu
- Department of Chronic Disease Control and Prevention, Hunan Provincial Center for Disease Control and Prevention, Changsha, China,Corresponding author.
| | - Maigeng Zhou
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Peng Yin
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Donghui Jin
- Department of Chronic Disease Control and Prevention, Hunan Provincial Center for Disease Control and Prevention, Changsha, China
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Luo Z, Zou Y, Xie J, Cao H, Chen Y, Ding Y, Li X, Deng Y, Wu L. Influence of Demographic Factors on Long-Term Trends of Premature Mortality and Burden Due to Liver Cancer: Findings From a Population-Based Study in Shanghai, China, 1973–2019. Front Public Health 2022; 10:808917. [PMID: 35242731 PMCID: PMC8885583 DOI: 10.3389/fpubh.2022.808917] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2021] [Accepted: 01/21/2022] [Indexed: 11/27/2022] Open
Abstract
Objective Liver cancer is one of the most common causes of cancer-related death. Understanding how demographic factors influence mortality due to liver cancer is crucial for optimizing disease-control strategies. We aimed to characterize the long-term trends in the mortality and years of life lost (YLL) of liver cancer in Shanghai, China, 1973–2019, and quantitatively analyze the contributions of demographic and non-demographic factors on the mortality of liver cancer. Methods Using mortality data from the Mortality Registration System of Pudong New Area, the largest district of Shanghai with a population of permanent resident of 5.68 million, during 1973–2019, we analyzed the temporal trends for the mortality rates and YLL by Joinpoint Regression Program. The difference decomposition method was employed to estimate the increasing mortality rates related to demographic and non-demographic factors. Results A total of 21,530 deaths from liver cancer occurred from 1973 to 2019. The crude mortality rates (CMR) and age-standardized mortality rate by Segi's world standard population (ASMRW) of liver cancer were 26.73/105 person-years and 15.72/105 person-years, respectively. The CMR, ASMRW, and YLL rates of liver cancer showed significantly decreasing trends in males, females and the total population from 1973 to 2019, whereas the upward trends in the YLL were seen in males, females and the total population (all P < 0.05). A significant upward trend was observed in the increased CMR caused by demographic factors, but the changing rate caused by non-demographic factors decreased. Conclusions The CMR and ASMRW of liver cancer continually decreased although YLL increased during 1973–2019 in Pudong New Area, Shanghai. The demographic factors, especially aging, might be responsible for the increase in the mortality of liver cancer. More effective prevention strategies tailored to liver cancer are needed to further reduce its disease burden in the elderly population.
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Affiliation(s)
- Zheng Luo
- Department of Neurology, Shanghai University of Medicine & Health Sciences Affiliated Zhoupu Hospital, Shanghai, China
| | - Yongbin Zou
- Department of Oncology, Chenzhou First People's Hospital, Chenzhou, China
| | - Jiaxin Xie
- Department of High Altitude Operational Medicine, Army Medical University, Chongqing, China
| | - Hui Cao
- Department of Oncology, Chenzhou First People's Hospital, Chenzhou, China
| | - Yichen Chen
- Center for Disease Control and Prevention of Pudong New Area, Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
| | - Yibo Ding
- Department of Epidemiology, Second Military Medical University, Shanghai, China
| | - Xiaopan Li
- Center for Disease Control and Prevention of Pudong New Area, Fudan University Pudong Institute of Preventive Medicine, Shanghai, China
- *Correspondence: Xiaopan Li
| | - Yang Deng
- School of Public Health, Shandong First Medical University & Shandong Academy of Medical Sciences, Tai'an, China
- Yang Deng
| | - Lile Wu
- Department of Hepatobiliary Surgery, The Affiliated Hospital of Southwest Medical University, Luzhou, China
- Lile Wu
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3
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Jiang D, Zhang L, Liu W, Ding Y, Yin J, Ren R, Li Q, Chen Y, Shen J, Tan X, Zhang H, Cao G. Trends in cancer mortality in China from 2004 to 2018: A nationwide longitudinal study. Cancer Commun (Lond) 2021; 41:1024-1036. [PMID: 34251754 PMCID: PMC8504142 DOI: 10.1002/cac2.12195] [Citation(s) in RCA: 42] [Impact Index Per Article: 14.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/19/2021] [Revised: 06/06/2021] [Accepted: 06/30/2021] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND The long-term trend in cancer death in a rapidly developing country provides information for cancer prophylaxis. Here, we aimed to identify the trends in cancer mortality in China during the 2004-2018 period. METHODS Using raw data from the national mortality surveillance system of China, we assessed the mortalities of all cancer and site-specific cancers during the 2004-2018 period. The participants were divided into three age groups: ≥65 years, 40-64 years, and ≤39 years. Changing trends in cancer death by gender, residency, and tumor location were estimated using fitting joinpoint models to log-transformed crude mortality rates (CMRs) and age-standardized mortality rates (ASMRs). RESULTS Cancer death accounted for 24% of all-cause of death in China during 2014-2018. The CMR of all cancer was 150.0 per 100,000 persons. Cancer was the leading cause of death in the population <65 years. The six major cancer types (lung/bronchus cancer, liver cancer, stomach cancer, esophagus cancer, colorectal cancer, and pancreas cancer) accounted for 75.85% of all cancer deaths. The CMR of all cancer increased while the ASMR decreased during 2014-2018 (P < 0.001). Lung/bronchus cancer and liver cancer were the leading causes of cancer death in the population <65 years, accounting for 45.31% (CMR) and 44.35% (ASMR) of all cancer death, respectively. The ASMR of liver cancer was higher in the 40-64 years population than in the ≥65 years population, in contrast to the other five major cancers. The ASMRs of liver cancer, stomach cancer, and esophagus cancer decreased although they were higher in rural residents than in urban residents; the ASMRs of lung/bronchus cancer, colorectal cancer, and pancreas cancer increased in rural residents although they were higher in urban residents than in rural residents during 2014-2018. CONCLUSION Although the ASMR of all cancer decreased in China during 2004-2018, lung/bronchus cancer and liver cancer remained the leading causes of cancer-related premature death. Lung/bronchus cancer, colorectal cancer, and pancreas cancer increased in rural residents.
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Affiliation(s)
- Dongming Jiang
- Shanghai East HospitalKey Laboratory of ArrhythmiasMinistry of EducationTongji University School of MedicineTongji UniversityShanghai200120P. R. China
| | - Lijuan Zhang
- Shanghai East HospitalKey Laboratory of ArrhythmiasMinistry of EducationTongji University School of MedicineTongji UniversityShanghai200120P. R. China
| | - Wenbin Liu
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
| | - Yibo Ding
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
| | - Jianhua Yin
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
| | - Rongbing Ren
- Shanghai East HospitalKey Laboratory of ArrhythmiasMinistry of EducationTongji University School of MedicineTongji UniversityShanghai200120P. R. China
| | - Qi Li
- Shanghai East HospitalKey Laboratory of ArrhythmiasMinistry of EducationTongji University School of MedicineTongji UniversityShanghai200120P. R. China
| | - Yifan Chen
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
| | - Jiaying Shen
- Shanghai East HospitalKey Laboratory of ArrhythmiasMinistry of EducationTongji University School of MedicineTongji UniversityShanghai200120P. R. China
| | - Xiaojie Tan
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
| | - Hongwei Zhang
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
| | - Guangwen Cao
- Shanghai East HospitalKey Laboratory of ArrhythmiasMinistry of EducationTongji University School of MedicineTongji UniversityShanghai200120P. R. China
- Department of Epidemiology Second Military Medical UniversityShanghai200433P. R. China
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4
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García-Pérez J, Fernández de Larrea-Baz N, Lope V, Molina AJ, O'Callaghan-Gordo C, Alonso MH, Rodríguez-Suárez MM, Mirón-Pozo B, Alguacil J, Gómez-Acebo I, Ascunce N, Vanaclocha-Espi M, Amiano P, Chirlaque MD, Simó V, Jiménez-Moleón JJ, Tardón A, Moreno V, Castaño-Vinyals G, Martín V, Aragonés N, Pérez-Gómez B, Kogevinas M, Pollán M. Residential proximity to industrial pollution sources and colorectal cancer risk: A multicase-control study (MCC-Spain). ENVIRONMENT INTERNATIONAL 2020; 144:106055. [PMID: 32827807 DOI: 10.1016/j.envint.2020.106055] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/14/2020] [Revised: 07/16/2020] [Accepted: 08/08/2020] [Indexed: 06/11/2023]
Abstract
BACKGROUND Colorectal cancer is the third most frequent tumor in males and the second in females worldwide. In Spain, it is an important and growing health problem, and epidemiologic research focused on potential risk factors, such as environmental exposures, is necessary. OBJECTIVES To analyze the association between colorectal cancer risk and residential proximity to industries, according to pollution discharge route, industrial groups, categories of carcinogens and other toxic substances, and specific pollutants released, in the context of a population-based multicase-control study of incident cancer carried out in Spain (MCC-Spain). METHODS MCC-Spain included 557 colorectal cancer cases and 2948 controls in 11 provinces, frequency matched by sex, age, and region of residence. Distances were computed from subjects' residences to each of the 134 industries located in the study area. Logistic regression was used to estimate odds ratios (ORs) and 95% confidence intervals (95%CIs) for categories of distance (from 1 km to 3 km) to industrial facilities, adjusting for matching variables and other confounders. RESULTS Excess risk (OR; 95%CI) of colorectal cancer was detected near industries overall for all distances analyzed, from 1 km (2.03; 1.44-2.87) to 3 km (1.26; 1.00-1.59). In general, industries releasing pollutants to air showed higher excess risks than facilities releasing pollution to water. By industrial sector, excess risk (OR; 95%CI) was found near (≤3 km) production of metals (2.66; 1.77-4.00), surface treatment of metals (1.48; 1.08-2.02), glass and mineral fibers (2.06; 1.39-3.07), organic chemical industry (4.80; 3.20-7.20), inorganic chemical industry (6.74; 4.38-10.36), food/beverage sector (3.34; 2.38-4.68), and surface treatment using organic solvents (6.16; 4.06-9.36). By pollutants, the main excess risks (OR; 95%CI) were found near (≤3 km) industries releasing nonylphenol (9.19; 5.91-14.28), antimony (5.30; 3.45-8.15), naphthalene (3.11; 2.16-4.49), organotin compounds (2.64; 1.76-3.98), manganese (2.53; 1.63-3.93), dichloromethane (2.52; 1.74-3.66), and vanadium (2.49; 1.59-3.91). CONCLUSIONS Our results support the hypothesis that residing in the proximity of industries may be a risk factor for colorectal cancer.
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Affiliation(s)
- Javier García-Pérez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology and Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain.
| | - Nerea Fernández de Larrea-Baz
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology and Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain.
| | - Virginia Lope
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology and Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain.
| | - Antonio J Molina
- The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, Campus Universitario de Vegazana, 24071 León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Campus Universitario de Vegazana, 24071 León, Spain.
| | - Cristina O'Callaghan-Gordo
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Faculty of Health Sciences, Universitat Oberta de Catalunya, Rambla de Poblenou 156, 08018 Barcelona, Spain; Institute of Global Health (ISGlobal), Carrer del Rosselló 132, 08036 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Campus del Mar, Carrer del Dr. Aiguader 80, 08003 Barcelona, Spain.
| | - María Henar Alonso
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospital Duran i Reynals, Avinguda de la Gran Via de l'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Avinguda de la Gran Via de l'Hospitalet 199, 08908 L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Carrer de Casanova 143, 08036 Barcelona, Spain.
| | - Marta María Rodríguez-Suárez
- Hospital Universitario Central de Asturias (HUCA), Av. Roma s/n, 33011 Oviedo, Spain; Servicio de Salud del Principado de Asturias (SESPA), Oviedo, Spain; Public Health Department, Universidad de Oviedo, 33003 Oviedo, Spain
| | - Benito Mirón-Pozo
- Service of Surgery, Hospital Universitario Clínico San Cecilio, Av. del Conocimiento s/n, 18016 Granada, Spain.
| | - Juan Alguacil
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Centro de Investigación en Recursos Naturales, Salud y Medio Ambiente (RENSMA), Universidad de Huelva, Campus Universitario de El Carmen, 21071 Huelva, Spain.
| | - Inés Gómez-Acebo
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Universidad de Cantabria - IDIVAL, Avenida Cardenal Herrera Oria s/n, 39011 Santander, Spain.
| | - Nieves Ascunce
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Navarra Public Health Institute, Calle Leyre, 15, 31003 Pamplona, Navarra; IdiSNA, Navarra Institute for Health Research, Calle Leyre 15, 31003 Pamplona, Spain.
| | - Mercedes Vanaclocha-Espi
- Cancer and Public Health Area, FISABIO - Public Health, Avda. de Catalunya 21, 46020 Valencia, Spain.
| | - Pilar Amiano
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Public Health Division of Gipuzkoa, Biodonostia Health Research Institute, Ministry of Health of the Basque Government, Paseo Dr. Beguiristain s/n, 20014 San Sebastian, Spain.
| | - María Dolores Chirlaque
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Department of Epidemiology, Regional Health Council, IMIB-Arrixaca, Murcia University, Campus de Ciencias de la Salud, Carretera Buenavista s/n, 30120 El Palmar, Murcia, Spain.
| | - Vicente Simó
- Department of General Surgery, León University Hospital (CAULE), Altos de Nava s/n, 24071 León, Spain.
| | - José J Jiménez-Moleón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Department of Preventive Medicine and Public Health, School of Medicine, University of Granada, Av. de la Investigación 11, 18016 Granada, Spain; Instituto de Investigación Biosanitaria ibs.GRANADA, Doctor Azpitarte 4 4ª Planta, Edificio Licinio de la Fuente, 18012 Granada, Spain.
| | - Adonina Tardón
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Instituto Universitario de Oncología (IUOPA), Universidad de Oviedo, Facultad de Medicina, Campus de El Cristo B, 33006 Oviedo, Spain; Instituto de Investigación Sanitaria del Principado de Asturias (ISPA), Av. Roma s/n, 33011 Oviedo, Spain.
| | - Víctor Moreno
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Unit of Biomarkers and Susceptibility, Oncology Data Analytics Program, Catalan Institute of Oncology (ICO), Hospital Duran i Reynals, Avinguda de la Gran Via de l'Hospitalet 199-203, 08908 L'Hospitalet de Llobregat, Barcelona, Spain; Colorectal Cancer Group, ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), Avinguda de la Gran Via de l'Hospitalet 199, 08908 L'Hospitalet de Llobregat, Barcelona, Spain; Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Carrer de Casanova 143, 08036 Barcelona, Spain.
| | - Gemma Castaño-Vinyals
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Institute of Global Health (ISGlobal), Carrer del Rosselló 132, 08036 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Campus del Mar, Carrer del Dr. Aiguader 80, 08003 Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain.
| | - Vicente Martín
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; The Research Group in Gene - Environment and Health Interactions (GIIGAS)/Institute of Biomedicine (IBIOMED), Universidad de León, Campus Universitario de Vegazana, 24071 León, Spain; Faculty of Health Sciences, Department of Biomedical Sciences, Area of Preventive Medicine and Public Health, Universidad de León, Campus Universitario de Vegazana, 24071 León, Spain.
| | - Nuria Aragonés
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Epidemiology Section, Public Health Division, Department of Health of Madrid, C/San Martín de Porres, 6, 28035 Madrid, Spain.
| | - Beatriz Pérez-Gómez
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology and Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain.
| | - Manolis Kogevinas
- Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain; Institute of Global Health (ISGlobal), Carrer del Rosselló 132, 08036 Barcelona, Spain; Universitat Pompeu Fabra (UPF), Campus del Mar, Carrer del Dr. Aiguader 80, 08003 Barcelona, Spain; IMIM (Hospital del Mar Medical Research Institute), Carrer del Dr. Aiguader 88, 08003 Barcelona, Spain.
| | - Marina Pollán
- Cancer and Environmental Epidemiology Unit, Department of Epidemiology and Chronic Diseases, National Center for Epidemiology, Carlos III Institute of Health, Avda. Monforte de Lemos 5, 28029 Madrid, Spain; Consortium for Biomedical Research in Epidemiology & Public Health (CIBER en Epidemiología y Salud Pública - CIBERESP), Av. de Monforte de Lemos 3-5, 28029 Madrid, Spain.
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Novikov I, Olmer L, Keinan-Boker L, Silverman B, Robinson E, Freedman LS. A modified Prevalence Incidence Analysis Model method may improve disease prevalence prediction. J Clin Epidemiol 2020; 123:18-26. [PMID: 32201258 DOI: 10.1016/j.jclinepi.2020.03.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/05/2019] [Revised: 02/21/2020] [Accepted: 03/16/2020] [Indexed: 10/24/2022]
Abstract
OBJECTIVES The Prevalence Incidence Analysis Model method is used for predicting disease prevalence, using past data on incidence and relative survival. Our objective was to propose and evaluate a modified approach for choosing the Prevalence Incidence Analysis Model. STUDY DESIGN AND SETTING Instead of the standard approach using the likelihood ratio statistic, we find the model that predicts most successfully the prevalence in the last available Y years using data up to but not including those Y years and then use that model to predict future prevalence another Y years ahead using all the data. We also make an "alignment" adjustment using the last known prevalence level. We evaluate the relative performance of the modified and standard methods using data on cancer from Israel in 1983-2013. RESULTS In this example, the modified approach gave as good or better predictions than the standard. Using the modified approach, we forecast cancer prevalence in Israel for 2014-2024 to increase at a gradually accelerating rate from the current 10,000 per year to 12,000 per year by 2020, reaching a total of 380,000 by 2024. CONCLUSION The modified approach may offer improved forecasting, but further methodological work on forecasting cancer prevalence is needed.
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Affiliation(s)
- Ilya Novikov
- Biostatistics and Biomathematics Unit, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer 5265601, Israel
| | - Liraz Olmer
- Biostatistics and Biomathematics Unit, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer 5265601, Israel
| | - Lital Keinan-Boker
- Israel Center for Disease Control, Ministry of Health, Gertner Institute Building, Sheba Medical Center, Tel HaShomer, Ramat Gan, 5265601, Israel; Department of Epidemiology, School of Public Health, Faculty of Social Welfare and Health Sciences, University of Haifa, Mount Carmel, Haifa 31905, Israel
| | - Barbara Silverman
- Israel Center for Disease Control, Ministry of Health, Gertner Institute Building, Sheba Medical Center, Tel HaShomer, Ramat Gan, 5265601, Israel; Israel National Cancer Registry, Ministry of Health, Gertner Institute Building, Sheba Medical Center, Tel HaShomer 52621, Israel; Department of Epidemiology and Preventive Medicine, School of Public Health, Sackler School of Medicine, Tel Aviv University, Tel Aviv 6997801, Israel
| | - Eliezer Robinson
- National Council for Oncology, Ministry of Health, Jerusalem, Israel
| | - Laurence S Freedman
- Biostatistics and Biomathematics Unit, Gertner Institute for Epidemiology and Health Policy Research, Sheba Medical Center, Tel Hashomer 5265601, Israel.
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6
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Wang S, Du X, Han X, Yang F, Zhao J, Li H, Li M, Zhang H, Liu W, Song J, Cao G. Influence of socioeconomic events on cause-specific mortality in urban Shanghai, China, from 1974 to 2015: a population-based longitudinal study. CMAJ 2019; 190:E1153-E1161. [PMID: 30274992 DOI: 10.1503/cmaj.180272] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 08/09/2018] [Indexed: 12/29/2022] Open
Abstract
BACKGROUND Understanding how socioeconomic events influence cause-specific mortality is essential for optimizing disease-control strategies. We characterized long-term trends in cause-specific mortality in a stable population from a very large urban centre. METHODS We derived population data from 1974 to 2015 on vital status, demographics and causes of death from the death registration system in Yangpu District, Shanghai, China. We examined temporal trends in mortality and assessed the effects of age, period and birth cohort. RESULTS Over 41 879 864 person-years of follow-up, we analyzed 290 332 deaths: 3.80% from communicable conditions (group 1), 86.50% from noncommunicable diseases (group 2), and 5.56% from injuries (group 3). Age-standardized mortality decreased after 1988 for group 1 (average annual percentage change [AAPC] -6.7, 95% confidence interval [CI] -9.3 to -4.1), after 1995 for group 2 (AAPC -2.9, 95% CI -3.5 to -2.3), and after 1994 for group 3 (AAPC -5.4, 95% CI -6.3 to -4.5), after improvements in public health and clinical service infrastructure and the removal of polluting industries during the 1980s. We observed increased mortality from group 2 and group 3 causes in those born between 1955 and 1965, a period that included the Great Chinese Famine. Cause-specific mortality risks increased in those born after 1949 for cancer and diabetes only. INTERPRETATION Birth cohorts exposed to extreme starvation in early life had increased premature cause-specific mortality in later life. Decreased cause-specific mortality followed improvements in public health, medical infrastructure and pollution control, but not for cancer or diabetes, likely because of exposure to new risk factors.
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Affiliation(s)
- Shuo Wang
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Xiaoyu Du
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Xue Han
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Fan Yang
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Jia Zhao
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Hui Li
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Mi Li
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Hongwei Zhang
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Wenbin Liu
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Jiahui Song
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
| | - Guangwen Cao
- Department of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China
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Yu XQ, Luo Q, Hughes S, Wade S, Caruana M, Canfell K, O'Connell DL. Statistical projection methods for lung cancer incidence and mortality: a systematic review. BMJ Open 2019; 9:e028497. [PMID: 31462469 PMCID: PMC6720154 DOI: 10.1136/bmjopen-2018-028497] [Citation(s) in RCA: 16] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
OBJECTIVES To identify and summarise all studies using statistical methods to project lung cancer incidence or mortality rates more than 5 years into the future. STUDY TYPE Systematic review. METHODS We performed a systematic literature search in multiple electronic databases to identify studies published from 1 January 1988 to 14 August 2018, which used statistical methods to project lung cancer incidence and/or mortality rates. Reference lists of relevant articles were checked for additional potentially relevant articles. We developed an organisational framework to classify methods into groups according to the type of data and the statistical models used. Included studies were critically appraised using prespecified criteria. RESULTS One hundred and one studies met the inclusion criteria; six studies used more than one statistical method. The number of studies reporting statistical projections for lung cancer increased substantially over time. Eighty-eight studies used projection methods, which did not incorporate data on smoking in the population, and 16 studies used a method which did incorporate data on smoking. Age-period-cohort models (44 studies) were the most commonly used methods, followed by other generalised linear models (35 studies). The majority of models were developed using observed rates for more than 10 years and used data that were considered to be good quality. A quarter of studies provided comparisons of fitted and observed rates. While validation by withholding the most recent observed data from the model and then comparing the projected and observed rates for the most recent period provides important information on the model's performance, only 12 studies reported doing this. CONCLUSION This systematic review provides an up-to-date summary of the statistical methods used in published lung cancer incidence or mortality projections. The assessment of the strengths of existing methods will help researchers to better apply and develop statistical methods for projecting lung cancer rates. Some of the common methods described in this review can be applied to the projection of rates for other cancer types or other non-infectious diseases.
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Affiliation(s)
- Xue Qin Yu
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
- The University of Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
| | - Qingwei Luo
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Suzanne Hughes
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Stephen Wade
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Michael Caruana
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
| | - Karen Canfell
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
- The University of Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- Prince of Wales Clinical School, University of New South Wales, Sydney, New South Wales, Australia
| | - Dianne L O'Connell
- Cancer Research Division, Cancer Council NSW, Sydney, New South Wales, Australia
- The University of Sydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, New South Wales, Australia
- School of Medicine and Public Health, University of Newcastle, Newcastle, New South Wales, Australia
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Cui M, Chen Q, He C, Wang N, Yu Y, Sun Z, Lin Z, Cui H, Jin S, Park JY, Jin G, Lee SY, Cui Q. A single nucleotide polymorphism CTSB rs12898 is associated with primary hepatic cancer in a Chinese population. INTERNATIONAL JOURNAL OF CLINICAL AND EXPERIMENTAL PATHOLOGY 2019; 12:3063-3069. [PMID: 31934146 PMCID: PMC6949695] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Subscribe] [Scholar Register] [Received: 06/03/2019] [Accepted: 06/26/2019] [Indexed: 06/10/2023]
Abstract
BACKGROUND & AIMS Primary hepatic cancer (PHC) is a common malignant tumor and the third most frequent cause of cancer-related death worldwide. However, the molecular mechanisms underlying hepatic cancer remain unknown. CTSB is considered a biomarker of cancer as it can facilitate tumor progression. We aimed to investigate the association between genetic polymorphisms of potential regulatory SNPs in the CTSB gene and PHC. METHODS The relationship between CTSB rs12898 and PHC was analyzed in a case-control study with a Chinese population of 608 PHC patients and 608 healthy individuals using SPSS 21.0. RESULTS PHC was significantly associated with alcohol consumption (P < 0.001), history of hepatitis (P < 0.001), and liver cirrhosis (P < 0.001), but not with smoking (P = 0.168), age (P = 0.175), or sex (P = 0.051). Distribution of three genotypes (GG, GA, and AA) of CTSB rs12898 significantly differed between the cases and controls (P < 0.001). Compared with the GG genotype, the GA and AA genotype was associated with a significantly increased risk of PHC (OR = 1.425, 95% CI = 1.099-1.848, P = 0.007; and OR = 2.220, 95% CI = 1.574-3.132, P < 0.001, respectively). CTSB rs12898 was associated with a significantly increased risk of PHC under a dominant model (OR = 1.592, 95% CI = 1.243-2.040, P < 0.001), and under a recessive model (OR = 1.771, 95% CI = 1.311-2.393, P < 0.001) for the variant A allele. CONCLUSION Results suggest that CTSB rs12898G > A may play a role in the pathogenesis of PHC, and may be a marker for susceptibility to PHC.
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Affiliation(s)
- Minghua Cui
- Key Laboratory of The Science and Technology Department of Jilin ProvinceYanji, Jilin, China
- Department of Pathology & Cancer Research Center, Yanbian University Medical CollegeYanji, Jilin, China
| | - Quanzhu Chen
- Key Laboratory of The Science and Technology Department of Jilin ProvinceYanji, Jilin, China
- Department of Pathology & Cancer Research Center, Yanbian University Medical CollegeYanji, Jilin, China
| | - Chaojun He
- Chengdu Second People’s Hospital of Sichuan Province, Breast and Vascular SurgeryChengdu, Sichuan, China
| | - Nan Wang
- Department of Pathology, Shenyang 242 HospitalShenyang, Liaoning, China
| | - Yong Yu
- Key Laboratory of The Science and Technology Department of Jilin ProvinceYanji, Jilin, China
- Department of Pathology & Cancer Research Center, Yanbian University Medical CollegeYanji, Jilin, China
| | - Ziyang Sun
- Key Laboratory of The Science and Technology Department of Jilin ProvinceYanji, Jilin, China
- Department of Pathology & Cancer Research Center, Yanbian University Medical CollegeYanji, Jilin, China
| | - Zhenhua Lin
- Key Laboratory of The Science and Technology Department of Jilin ProvinceYanji, Jilin, China
- Department of Pathology & Cancer Research Center, Yanbian University Medical CollegeYanji, Jilin, China
| | - Hesong Cui
- Department of Infections, Yanbian University HospitalYanji, Jilin, China
| | - Shengyu Jin
- Department of Hematology, Yanbian University HospitalYanji, Jilin, China
| | - Jae Yong Park
- Department of Internal Medicine, School of Medicine, Kyungpook National UniversityDaegu, Republic of Korea
| | - Guang Jin
- Key Laboratory of The Science and Technology Department of Jilin ProvinceYanji, Jilin, China
- Department of Pathology & Cancer Research Center, Yanbian University Medical CollegeYanji, Jilin, China
| | - Shin Yup Lee
- Department of Internal Medicine, School of Medicine, Kyungpook National UniversityDaegu, Republic of Korea
| | - Qingsong Cui
- Department of Intensive Care Unit, Yanbian University HospitalYanji, Jilin, China
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Yan L, Yu HH, Liu YS, Wang YS, Zhao WH. Esculetin enhances the inhibitory effect of 5-Fluorouracil on the proliferation, migration and epithelial-mesenchymal transition of colorectal cancer. Cancer Biomark 2019; 24:231-240. [PMID: 30689555 DOI: 10.3233/cbm-181764] [Citation(s) in RCA: 13] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
BACKGROUND Colorectal cancer (CRC) is the most common malignant disease worldwide and thus new therapeutic approaches are needed. 5-Fluorouracil (5-FU) remains the most widely used agent to treat colorectal cancer (CRC). However, its clinical efficacy is currently limited by the development of drug resistance. Esculetin (EST), a coumarin, was found to have anti-proliferative and anti-migration activity in cancer. OBJECTIVE This research aims to evaluated the influence and possible mechanism of EST on the proliferation, migration and epithelial-mesenchymal transition of CRC cell lines. MATERIALS AND METHODS Human CRC cell lines HT-29, SW480, HCT-116, and Caco-2 were treated with various concentrations of EST (0.2, 2, 20, 200, 2000 μg/ml) or 5-FU (0.1, 1, 10, 100, 1000 μg/ml) for 48 h, and cell viability was determined by the MTT and CCK-8 assay. The motility of HCT-116 cells was detected by scratch assay. Western blot was applied to detect the protein expression. Besides, levels of Wnt3a and VEGF in HCT-116 cell culture medium supernatant were analyzed by ELISA. The anti-tumor effect was detected with HCT-116 subcutaneous tumor bearing tumor model by monitoring the tumor vomume in vivo. Finally, the tumoral expression of VEGF was measured by immunohistochemistry, and the expression of Ki67, PCNA, β-catenin, c-Myc, Cyclin D1, MMP2 and MMP7 was measured by Western blot analysis. RESULTS EST inhibited HCT-116 cell proliferation in a dose-dependent manner. Western blot analysis revealed that EST decreased the expression of Ki67, PCNA, N-cadherin, E-cadherin, vimentin, fibronectin, β-catenin, c-Myc, Cyclin D1, MMP2 and MMP7. Furthermore, EST reduced the release of Wnt3a and VEGF into HCT-116 cells culture medium. After EST treatment, the tumor volume was significant smaller than that of the control group, and the tumoral levels of VEGF were decreased. Moreover, western blot analysis indicated that the expression of Ki67, PCNA, β-catenin, c-Myc, Cyclin D1, MMP2 and MMP7 were also significantly decreased after treated with EST. In addition, in vitro and in vivo anti-tumor results demonstrated that EST combined with 5-FU could increase the inhibitory effect of 5-FU on HCT-116 cells proliferation, migration and epithelial-mesenchymal transition. CONCLUSIONS EST enhances the inhibitory effect of 5-FU on the proliferation, migration and epithelial-mesenchymal transition of CRC.
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Affiliation(s)
- Lin Yan
- Department of Oncology and Pneumology, Shandong Provincial Third Hospital, Jinan, Shandong 250031, China
| | - Hai-Hua Yu
- Department of Gastrointestinal Surgery, Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China
| | - Yuan-Shui Liu
- Department of Oncology, Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China
| | - Yan-Sen Wang
- Department of Oncology and Pneumology, Shandong Provincial Third Hospital, Jinan, Shandong 250031, China
| | - Wen-Hua Zhao
- Department of Oncology, Shandong Provincial Qianfoshan Hospital, Jinan, Shandong 250014, China
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Cui C, Wang B, Ren H, Wang Z. Spatiotemporal Variations in Gastric Cancer Mortality and Their Relations to Influencing Factors in S County, China. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2019; 16:E784. [PMID: 30836673 PMCID: PMC6427783 DOI: 10.3390/ijerph16050784] [Citation(s) in RCA: 12] [Impact Index Per Article: 2.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/20/2019] [Revised: 02/26/2019] [Accepted: 02/26/2019] [Indexed: 12/19/2022]
Abstract
Increasingly stricter and wider official efforts have been made by multilevel Chinese governments for seeking the improvements of the environment and public health status. However, the contributions of these efforts to environmental changes and spatiotemporal variations in some environmental diseases have been seldom explored and evaluated. Gastric cancer mortality (GCM) data in two periods (I: 2004⁻2006 and II: 2012⁻2015) was collected for the analysis of its spatiotemporal variations on the grid scale across S County in Central China. Some environmental and socioeconomic factors, including river, farmlands, topographic condition, population density, and gross domestic products (GDP) were obtained for the exploration of their changes and their relationships with GCM's spatiotemporal variations through a powerful tool (GeoDetector, GD). During 2004⁻2015, S County achieved environmental improvement and socioeconomic development, as well as a clear decline of the age-standardized mortality rate of gastric cancer from 35.66/10⁵ to 23.44/10⁵. Moreover, the GCM spatial patterns changed on the grid scale, which was spatially associated with the selected influencing factors. Due to the improvement of rivers' water quality, the distance from rivers posed relatively larger but reversed impacts on the gridded GCM. In addition, higher population density and higher economic level (GDP) acted as important protective factors, whereas the percentage of farmlands tended to have adverse effects on the gridded GCM in period II. It can be concluded that the decline of GCM in S County was spatiotemporally associated with increasingly strengthened environmental managements and socioeconomic developments over the past decade. Additionally, we suggest that more attentions should be paid to the potential pollution caused by excessive pesticides and fertilizers on the farmlands in S County. This study provided a useful clue for local authorities adopting more targeted measures to improve environment and public health in the regions similar to S County.
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Affiliation(s)
- Cheng Cui
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
| | - Baohua Wang
- National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing 102206, China.
| | - Hongyan Ren
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
| | - Zhen Wang
- State Key Laboratory of Resources and Environmental Information System, Institute of Geographic Sciences and Natural Resources Research, Chinese Academy of Sciences, Beijing 100101, China.
- College of Resources and Environment, University of Chinese Academy of Sciences, Beijing 100049, China.
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Chen ZF, Dong XL, Huang QK, Hong WD, Wu WZ, Wu JS, Pan S. The combined effect of non-alcoholic fatty liver disease and metabolic syndrome on colorectal carcinoma mortality: a retrospective in Chinese females. World J Surg Oncol 2018; 16:163. [PMID: 30097069 PMCID: PMC6086998 DOI: 10.1186/s12957-018-1461-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2018] [Accepted: 08/01/2018] [Indexed: 12/26/2022] Open
Abstract
BACKGROUND This research aimed to investigate whether metabolic syndrome (MetS) and non-alcoholic fatty liver disease (NAFLD) had both individual and synergistic effects on the prognosis for female colorectal carcinoma (CRC) patients. METHODS The relationship between CRC prognosis and NAFLD as well as MetS was evaluated in 764 female participants. Based on the NAFLD level, patients were divided into significant NAFLD (SNAFLD), "moderate" and "severe" level, and non-SNAFLD, "non" and "mild" level. All the patients were categorized into four subgroups according to the status of SNAFLD and MetS and then a comparison of CRC prognosis among those four groups was performed. RESULTS NAFLD, SNAFLD, and MetS were independent factors for CRC-specific mortality with the adjustment of age and other confounders. The hazard ratio (HR) of CRC-specific mortality in MetS (+) SNAFLD (+) group was significantly higher than that in other three groups. Relative excess risk of interaction (RERI) was 2.203 with 95% CI ranged from 0.197 to 4.210, attributable proportion (AP) was 0.444 with range from 0.222 to 0.667, and synergy index (SI) of 2.256 with 95% CI from 1.252 to 4.065, indicating SNAFLD and MetS had a significant synergic effect on CRC-specific mortality. CONCLUSIONS SNAFLD and MetS are independent risk factors for CRC-specific mortality in females. Moreover, those two diseases have a synergistic effect on promoting CRC-specific mortality.
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Affiliation(s)
- Zhou-Feng Chen
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Xiu-Li Dong
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Qing-Ke Huang
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Wang-Dong Hong
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Wen-Zhi Wu
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Jian-Sheng Wu
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China
| | - Shuang Pan
- Department of Gastroenterology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, 325000, Zhejiang, People's Republic of China.
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