Evidence map›Paper›PMID 40825656›Full record

ArticleThe British journal of ophthalmology2026

Global trends in cataract burden: a 30-year epidemiological analysis and prediction of 2050 from the Global Burden of Disease 2021 study.

Xiaohui Jiang, Boyue Xu, Jing Zhai, Shurui Huang, Haodi Cheng, Liya Ma, Yun-E Zhao

Abstract read
In one paragraph

Article in The British journal of ophthalmology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Article
  7. Cataract: Surgery first - is there still room for basic research?Advances in ophthalmology practice and research
    Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Xiaohui JiangEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China.
Boyue XuEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China.
Jing ZhaiEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China.ORCID http://orcid.org/0000-0001-6263-5456
Shurui HuangEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China.
Haodi ChengEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China.
Liya MaEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China.
Yun-E ZhaoEye Hospital and School of Ophthalmology and Optometry, Wenzhou Medical University, Wenzhou, People's Republic of China zye@mail.eye.ac.cn zyehzeye@126.com.ORCID http://orcid.org/0000-0003-4401-8053

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimsCataracts remain the leading cause of global blindness, particularly among ageing populations. This study evaluates the evolving burden of cataracts from 1990 to 2021, examines gender and socioeconomic disparities, assesses key risk factors and projects trends to 2050.

methodsData from the Global Burden of Disease 2021 database were systematically analysed across 204 countries, 21 regions and 5 sociodemographic index (SDI) levels. Indicators, including cataract prevalence, age-standardised prevalence rates, disability-adjusted life-years (DALYs) and age-standardised DALY rates (ASDR), were assessed. Decomposition analysis quantified the impacts of population growth, ageing and healthcare improvements, while Bayesian age-period-cohort models forecast trends to 2050. Joinpoint regression identified temporal trends, and health inequality metrics evaluated disparities. Risk factor contributions, such as air pollution, high BMI and metabolic risks, were also analysed.

resultsGlobal cataract prevalence increased significantly due to aging and population growth, while ASDR decreased, reflecting improved disease management. Disparities persist, with South Asia and sub-Saharan Africa bearing the highest burden due to limited surgical access, and females consistently exhibiting higher cataract burdens. Key contributors included air pollution and metabolic disorders, particularly in low-SDI regions. Predictions indicate a continued rise in global cataract cases and DALYs by 2050 under current demographic and epidemiological trends.

conclusionsThis study highlights persistent inequities in cataract burden and underscores the urgent need for tailored prevention, equitable surgical access and policies addressing ageing populations and modifiable risks to manage the rise in global cataract cases by 2050. Future policies should focus on improving surgical accessibility in low-SDI regions, enhancing chronic disease prevention and leveraging technological advancements for early detection and treatment.

Indexed as

CataractGlobal HealthAdultAgedAge DistributionBlindnessDisability-Adjusted Life YearsFemaleForecastingGlobal Burden of DiseaseHumansMaleMiddle AgedPrevalenceRisk FactorsSex DistributionEpidemiologyPublic healthRisk Factors

Identifiers

PMID40825656
PMCPMC12911648

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.