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Qu X, Zheng A, Yang J, Zhang J, Qiao H, Jiang F, Zhao J, Wang C, Ning P. Global, regional, and national burdens of leukemia from 1990 to 2019: A systematic analysis of the global burden of disease in 2019 based on the APC model. Cancer Med 2024; 13:e7150. [PMID: 39246263 PMCID: PMC11381916 DOI: 10.1002/cam4.7150] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2023] [Revised: 02/23/2024] [Accepted: 03/17/2024] [Indexed: 09/10/2024] Open
Abstract
BACKGROUND Leukemia is the tenth most common cause of cancer death worldwide and one of the most important causes of disability. To understand the current status and changing trends of the disease burden of leukemia at the global, regional, and national levels, and to provide a scientific basis for the development of leukemia prevention and treatment strategies. METHODS Based on open data from the Global Burden of Disease Study 2019 (GBD 2019), R software was used to calculate estimated annual percentage changes to estimate trends in the age-standardized incidence (ASIR) and the age-standardized disability-adjusted life years (DALY) rate due to leukemia and its major subtypes from 1990 to 2019. RESULTS In 2019, globally, the number of incidences and DALYs of leukemia were 643.6 × 103 (587.0 × 103, 699.7 × 103) and 11,657.5 × 103 (10529.1 × 103, 12700.7 × 103), respectively. The ASIR (estimated annual percentage change (EAPC) = -0.37, 95%UI -0.46 to -0.28) and the age-standardized DALY rate (EAPC = -1.72, 95%UI -1.80 to -1.65) of leukemia showed a decreasing trend from 1990 to 2019. The APC model analysis showed that the age effect of leukemia risk was a "U"-shaped distribution of relative risk (RR) with increasing age from 1990 to 2019, globally. The time effect was an increase in incidence rate with increasing years but a decrease in DALY rate with increasing years. The cohort effects of both incidence and DALY rates tended to increase and then decrease with the development of the birth cohort. In 1990 and 2019, smoking, high body-mass index, occupational exposure to benzene, and occupational exposure to formaldehyde were risk factors for DALY in leukemia, especially in areas with high SDI. CONCLUSIONS From 1990 to 2019, the disease burden of leukemia showed a decreasing trend, but it is worth noting that its overall severity is still very high. The disease burden of leukemia varies greatly from region to region, and exclusive strategies for the prevention and treatment of leukemia should be developed according to the economic and cultural development of each region.
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Affiliation(s)
- Xiang Qu
- Xi'an Daxing Hospital, Xi'an, China
| | - Anjie Zheng
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
| | - Jie Yang
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
| | - Jinru Zhang
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
| | - Hongmei Qiao
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
| | - Fan Jiang
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
| | - Jie Zhao
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
| | - Chunping Wang
- School of Public Health, Shandong Second Medical University, Weifang, China
| | - Peng Ning
- Department of Oncology, Baoji Gaoxin Hospital, Baoji, China
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Tian H, Xu W, Wen L, Song T, Tian Y, Tang L, Guo N, Chen Q, Wang H, Zhang K, Zhang X, Peng Y. Relationship between CCL2 gene 2518A/G (rs1024611) polymorphism and age-related macular degeneration susceptibility: meta-analysis and trial sequential analysis. Int Ophthalmol 2024; 44:348. [PMID: 39141020 DOI: 10.1007/s10792-024-03266-8] [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: 03/08/2024] [Accepted: 07/29/2024] [Indexed: 08/15/2024]
Abstract
PURPOSE This study aimed to investigate the association between the CC-cytokine ligand-2 (CCL2) 2518A/G (rs1024611) single nucleotide polymorphism (SNP) and susceptibility to age-related macular degeneration (AMD). METHODS PubMed, Embase, Web of Science, and other databases were searched for articles published before August 24, 2023. After searching, data extraction, and quality assessment, meta-analysis and trial sequential analysis were conducted using RevMan 5.4, Stata 17.0, and TSA 0.9.5.10 Beta software. Combined OR, P values, and 95% confidence intervals (CIs) were calculated. Sensitivity analysis, subgroup analysis and publication bias assessment were also performed. RESULTS Six articles, comprising 1186 cases and 1124 controls, were included. No significant statistical difference was found in six main outcomes. However, due to observed heterogeneity and high sensitivity, subgroup analysis was performed, revealing statistically significant differences across different regions. No significant publication bias was observed. Trial sequential analysis suggested the need for additional follow-up case-control studies to further validate the findings. CONCLUSION The CCL2 gene 2518A/G (rs1024611) polymorphism is associated with AMD susceptibility. Among Caucasian populations in West Asia and Europe, the G allele is protective against AMD, whereas in East and South Asia, it poses a risk factor.
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Affiliation(s)
- Haokun Tian
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Weikai Xu
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Lequan Wen
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Tiangang Song
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Ye Tian
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Lirui Tang
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Nan Guo
- The Third Affiliated Hospital of Nanchang University, Nanchang, China
- The Third Clinical Medical College, Nanchang University, Nanchang, China
| | - Qianxi Chen
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Haoran Wang
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Kaiyuan Zhang
- College of Public Health, Zhengzhou University, Zhengzhou, China
| | - Xinyuan Zhang
- Joint Programme of Nanchang University and Queen Mary University of London, Nanchang University, Nanchang, China
- Queen Mary School, Nanchang University, Nanchang, China
- Nanchang Joint Programme, School of Biological and Behavioural Sciences, Queen Mary University of London, London, UK
| | - Yu Peng
- Department of Ophthalmology, First Affiliated Hospital of Nanchang University, Nanchang, China.
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Kulbay M, Wu KY, Nirwal GK, Bélanger P, Tran SD. The Role of Reactive Oxygen Species in Age-Related Macular Degeneration: A Comprehensive Review of Antioxidant Therapies. Biomedicines 2024; 12:1579. [PMID: 39062152 PMCID: PMC11274723 DOI: 10.3390/biomedicines12071579] [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: 05/31/2024] [Revised: 06/26/2024] [Accepted: 07/12/2024] [Indexed: 07/28/2024] Open
Abstract
This review article delves into the intricate roles of reactive oxygen species (ROS) in the pathogenesis of age-related macular degeneration (AMD). It presents a detailed analysis of the oxidative stress mechanisms that contribute to the development and progression of these diseases. The review systematically explores the dual nature of ROS in ocular physiology and pathology, underscoring their essential roles in cellular signaling and detrimental effects when in excess. In the context of AMD, the focus is on the oxidative impairment in the retinal pigment epithelium and Bruch's membrane, culminating in the deterioration of macular health. Central to this review is the evaluation of various antioxidant strategies in the prevention and management of AMD. It encompasses a wide spectrum of antioxidants, ranging from dietary nutrients like vitamins C and E, lutein, and zeaxanthin to pharmacological agents with antioxidative properties. The review also addresses novel therapeutic approaches, including gene therapy and nanotechnology-based delivery systems, aiming to enhance antioxidant defense mechanisms in ocular tissues. The article concludes by synthesizing current research findings, clinical trial data, and meta-analyses to provide evidence-based recommendations. It underscores the need for further research to optimize antioxidant therapies, considering individual patient factors and disease stages. This comprehensive review thus serves as a valuable resource for clinicians, researchers, and healthcare professionals in ophthalmology, offering insights into the potential of antioxidants in mitigating the burden of AMD.
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Affiliation(s)
- Merve Kulbay
- Department of Ophthalmology & Visual Sciences, McGill University, Montréal, QC H4A 3S5, Canada;
| | - Kevin Y. Wu
- Division of Ophthalmology, Department of Surgery, University of Sherbrooke, Sherbrooke, QC J1H 5N4, Canada; (K.Y.W.)
| | - Gurleen K. Nirwal
- Department of Zoology, University of British Columbia, Vancouver, BC V6T 1Z4, Canada
| | - Paul Bélanger
- Division of Ophthalmology, Department of Surgery, University of Sherbrooke, Sherbrooke, QC J1H 5N4, Canada; (K.Y.W.)
| | - Simon D. Tran
- Faculty of Dental Medicine and Oral Health Sciences, McGill University, Montreal, QC H3A 1G1, Canada
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He J, Liu Y, Zhang A, Liu Q, Yang X, Sun N, Yao B, Liang F, Yan X, Liu Y, Mao H, Chen X, Tang NJ, Yan H. Joint effects of meteorological factors and PM 2.5 on age-related macular degeneration: a national cross-sectional study in China. Environ Health Prev Med 2023; 28:3. [PMID: 36631073 PMCID: PMC9845061 DOI: 10.1265/ehpm.22-00237] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/11/2023] Open
Abstract
BACKGROUND Weather conditions are a possible contributing factor to age-related macular degeneration (AMD), a leading cause of irreversible loss of vision. The present study evaluated the joint effects of meteorological factors and fine particulate matter (PM2.5) on AMD. METHODS Data was extracted from a national cross-sectional survey conducted across 10 provinces in rural China. A total of 36,081 participants aged 40 and older were recruited. AMD was diagnosed clinically by slit-lamp ophthalmoscopy, fundus photography, and spectral domain optical coherence tomography (OCT). Meteorological data were calculated by European Centre for Medium-Range Weather Forecasts (ECMWF) reanalysis and were matched to participants' home addresses by latitude and longitude. Participants' individual PM2.5 exposure concentrations were calculated by a satellite-based model at a 1-km resolution level. Multivariable-adjusted logistic regression models paired with interaction analysis were performed to investigate the joint effects of meteorological factors and PM2.5 on AMD. RESULTS The prevalence of AMD in the study population was 2.6% (95% CI 2.42-2.76%). The average annual PM2.5 level during the study period was 63.1 ± 15.3 µg/m3. A significant positive association was detected between AMD and PM2.5 level, temperature (T), and relative humidity (RH), in both the independent and the combined effect models. For PM2.5, compared with the lowest quartile, the odds ratios (ORs) with 95% confidence intervals (CIs) across increasing quartiles were 0.828 (0.674,1.018), 1.105 (0.799,1.528), and 2.602 (1.516,4.468). Positive associations were observed between AMD and temperature, with ORs (95% CI) of 1.625 (1.059,2.494), 1.619 (1.026,2.553), and 3.276 (1.841,5.830), across increasing quartiles. In the interaction analysis, the estimated relative excess risk due to interaction (RERI) and the attributable proportion (AP) for combined atmospheric pressure and PM2.5 was 0.864 (0.586,1.141) and 1.180 (0.768,1.592), respectively, indicating a synergistic effect between PM2.5 and atmospheric pressure. CONCLUSIONS This study is among the first to characterize the coordinated effects of meteorological factors and PM2.5 on AMD. The findings warrant further investigation to elucidate the relationship between ambient environment and AMD.
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Affiliation(s)
- Jiayu He
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Yuanyuan Liu
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Ai Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Qianfeng Liu
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Xueli Yang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Naixiu Sun
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Baoqun Yao
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, China
| | - Fengchao Liang
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Xiaochang Yan
- National School of Development, Peking University, Beijing, 100871, China
| | - Yang Liu
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
| | - Hongjun Mao
- Tianjin Key Laboratory of Urban Transport Emission Research, College of Environmental Science and Engineering, Nankai University, Tianjin, 300071, China
| | - Xi Chen
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Nai-jun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Hua Yan
- Department of Ophthalmology, Tianjin Medical University General Hospital, Tianjin, 300052, China,Laboratory of Molecular Ophthalmology, Tianjin Medical University, Tianjin, 300070, China,Tianjin Key Laboratory of Ocular Trauma, Tianjin, 300070, China
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Li C, Zhu B, Zhang J, Guan P, Zhang G, Yu H, Yang X, Liu L. Epidemiology, health policy and public health implications of visual impairment and age-related eye diseases in mainland China. Front Public Health 2022; 10:966006. [PMID: 36438305 PMCID: PMC9682104 DOI: 10.3389/fpubh.2022.966006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/10/2022] [Accepted: 10/26/2022] [Indexed: 11/10/2022] Open
Abstract
The prevalence of visual impairment (VI) and age-related eye diseases has increased dramatically with the growing aging population in mainland China. However, there is limited comprehensive evidence on the progress of ophthalmic epidemiological research in mainland China to enhance our awareness of the prevention of eye diseases to inform public health policy. Here, we conducted a literature review of the population-based epidemiology of VI and age-related eye diseases in mainland China from the 1st of January 1946 to the 20th of October 2021. No language restrictions were applied. There was significant demographic and geographic variation in the epidemic of VI and age-related eye diseases. There are several factors known to be correlated to VI and age-related eye diseases, including age, gender, family history, lifestyle, biological factors, and environmental exposures; however, evidence relating to genetic predisposition remains unclear. In addition, posterior segment eye diseases, including age-related macular degeneration and diabetic retinopathy, are amongst the major causes of irreversible visual impairments in the senile Chinese population. There remains a significant prevention gap, with only a few individuals showing awareness and achieving optimal medical care with regards to age-related eye diseases. Multiple challenges and obstacles need to be overcome, including the accelerated aging of the Chinese population, the lack of structured care delivery in many underdeveloped regions, and unequal access to care. Despite the progress to date, there are few well-conducted multi-center population-based studies following a single protocol in mainland China, which findings can hopefully provide valuable cues for governmental decision-making and assist in addressing and halting the incidence of VI and age-related eye diseases in China.
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Affiliation(s)
- Cong Li
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,School of Medicine, South China University of Technology, Guangzhou, China
| | - Bo Zhu
- Cancer Hospital of China Medical University/Liaoning Cancer Hospital & Institute, Shenyang, China
| | - Jie Zhang
- Department of Retina, Weifang Eye Hospital, Weifang, China
| | - Peng Guan
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Guisen Zhang
- Department of Retina, Inner Mongolia Chaoju Eye Hospital, Hohhot, China
| | - Honghua Yu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,*Correspondence: Honghua Yu
| | - Xiaohong Yang
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,Xiaohong Yang
| | - Lei Liu
- Department of Ophthalmology, Guangdong Eye Institute, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China,Lei Liu
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