Evidence map›Paper›PMID 39485018›Full record

ArticleJournal of global health2024

Quantifying the impact of disease severity changes on the burden of blindness: A global decomposition analysis.

Jianqi Chen, Xiaohong Chen, Yingting Zhu, Zhidong Li, Xuhao Chen, Xu Cao, Yangyang Li, Yuwen Wen, Liyan Liu, Yue Xiao and 6 more

Abstract read
In one paragraph

Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Aging of Nonhuman Primate Eyes Is Sexually Dimorphic.Investigative ophthalmology & visual science · 2026
    Article
  4. Article
  5. Review
  6. Article
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

16 authors.

Jianqi Chen *
Xiaohong Chen *
Yingting Zhu *
Zhidong Li
Xuhao Chen
Xu Cao
Yangyang Li
Yuwen Wen
Liyan Liu
Yue Xiao
Jinan Zhan
Haishun Huang
Yingfeng Zheng
Yiqing Li
Yantao Wei
Yehong Zhuo

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Despite the significant impact of blindness on the affected individuals' quality of life, its burden has not been assessed according to temporal cause-specific changes in severity, impeding our ability to evaluate the impact of blindness on population health accurately. Therefore, we aimed to comprehensively quantify the changes in cause-specific blindness burden according to changes in disease severity for 18 causes of blindness. Methods: For this cross-sectional population-based study, we derived data on prevalence, disability-adjusted life-years (DALYs), and population size between 1990 and 2019 from the Global Burden of Disease 2019 study. Using the decomposition method, we attributed changes in total DALYs to population growth, population ageing, and changes in prevalence rate and disease severity between 1990 and each subsequent year globally, regionally, nationally, and by sex, cause, and sociodemographic index (SDI). The absolute and relative contributions to the variation in blindness-related DALYs between 1990 and each year from 1991 to 2019 then served as a measure of changes in disease severity. Results: Changes in disease severity from 1990 to 2019 were associated with 15 165.11 DALYs in men and 20 639.32 DALYs in women. We observed disease severity increases in most countries/territories, with attributable DALY proportions ranging from -0.07% to 1.30% in men and from -0.06% to 1.73% in women. Notably, both attributable proportions and DALYs were greater in women than men. The largest increases in attributable DALYs were observed for cataracts, refraction disorders, and glaucoma globally; age-related macular degeneration in high-SDI countries; and trachoma and retinopathy of prematurity in lower-SDI countries. Conclusions: Growth in the burden of cause-specific blindness due to increased disease severity reflects the lag of healthy vision life behind increasing life expectancy, necessitating the implementation of preventive and long-term therapeutic measures focussed on improving visual outcomes.

Indexed as

BlindnessDisability-Adjusted Life YearsGlobal Burden of DiseaseGlobal HealthSeverity of Illness IndexAgedCost of IllnessCross-Sectional StudiesFemaleHumansMaleMiddle AgedPrevalenceQuality-Adjusted Life Years

Identifiers

PMID39485018
PMCPMC11529148

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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.