ArticleClinical epidemiology2023
Changing Trends in the Disease Burden of Cataract and Forecasted Trends in China and Globally from 1990 to 2030.
Article in Clinical epidemiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.
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Who cites it
13 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.
- A comprehensive investigation of identifying miRNA biomarkers and their potential role in age-related cataract by meta-analysis and bioinformatics analysis.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025Pooled it
- Article
- Analysis of ocular biometrics in cataract patients aged 40 and above in Suzhou, China.Frontiers in medicine · 2026Article
- Virtual simulation system in cataract education for medical undergraduates: a prospective quasi-experimental study.BMC medical education · 2025Article
- Secondary Trifocal Intraocular Lens Implantation in Dense Cataracts: A Promising Alternative to One-Step Surgery.Ophthalmology and therapy · 2025Article
- Plumbagin Protects Diabetogenic Cataract Formation by Mitigating Lens Aldose Reductase and Oxidative Stress.Journal of pharmacopuncture · 2025Article
- Sustained-Release Biodegradable Intracameral Implants Containing Dexamethasone and Moxifloxacin: Development and In Vivo Primary Assessment.Pharmaceutics · 2025Article
- Patient and Practice Level Visual Acuity Prior to Cataract Surgery in the United States: An IRISClinical ophthalmology (Auckland, N.Z.) · 2025Article
- Global, regional, and national burden of cataract among older adults from 1990 to 2021: a comprehensive analysis based on the global burden of disease study 2021.Frontiers in medicine · 2025Article
- Global burden of pancreatic cancer attributable to metabolic risks from 1990 to 2019, with projections of mortality to 2030.BMC public health · 2024Article
- Editorial: The role of multi-modal imaging in improving refractive cataract surgery and the understanding of retinal disease.Frontiers in medicine · 2024Article
- Effect of self-instructional module towards the prevention of cataract among elderly people in India.Bioinformation · 2023Article
- Time trends and gender disparities of Chinese cataract burden and their predictions.International journal of ophthalmology · 2023Article
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: To explore the trends in the prevalence and disease burden of cataract from 1990 to 2019, evaluate attributable risk factors, and predict trends over the next decade in China and globally. Methods: Data was obtained from Global Burden of Disease Study 2019. We calculated the age-standardized prevalence rate (ASR) and annual percentage change (EAPC) to show the trends of cataract in China and different regions. We calculated and reported the proportion of disability adjusted life years (DALYs) attributable to risk factors by sex in China and different regions. Then, the Bayesian age-period-cohort (BAPC) analysis model was also used to predict the prevalence trends from 2020 to 2030 in China and globally. Results: The ASR increased from 867.09 in 1990 to 991.56 in 2019 per 100,000 with an EAPC of 0.88 in China. The age-standardized DALY rate of females was higher than males. DALY rates were correlated to household air pollution from solid fuels, tobacco, high fasting plasma glucose and high body-mass index. The projective model indicates that the ASR for cataracts will rise to 1101.35×10 Conclusion: The trends from 1990 to 2030 suggested that the burden of cataract remains high in China. Maintaining good lifestyle habits such as switching to clean energy, reducing cigar intake, controlling blood glucose and weight can reduce the risk of cataracts. As aging increases, China should pay more attention to cataract-induced low vision and blindness and develop public policies to reduce the disease burden.
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