Evidence map›Paper›PMID 41684578›Full record

ArticleArchives of medical science : AMS2025

Age-related macular degeneration in the context of an update from the Global Burden of Disease Study 2019.

Luyao Tong, Qianyi Zhan, Li Zhang

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–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

2 citing papers in PubMed.

  1. Article
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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

3 authors.

Luyao TongEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Qianyi ZhanEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Li ZhangEye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Age-related macular degeneration (AMD) is a leading cause of central vision loss, with an increasing prevalence related to a growing economic burden. Understanding the epidemiological changes of AMD is essential for targeting the resource allocation of medicine, interventions, and the economy. Material and methods: The global prevalence and years lived with disability of AMD by sociodemographic index (SDI), sex, and age groups from 1990 to 2019 based on the Global Burden of Disease Study 2019 were retrieved and utilized to estimate epidemiological changes. Results: The global AMD population increased significantly from 3581.33 thousand in 1990 to 7792.53 thousand in 2019, and the years lived with disability significantly increased from 296.77 thousand years to 564.06 thousand years. The AMD burden was higher among females (57.77% to 59.20%), the elderly (65-74 years old), and individuals in high-middle and middle SDI regions from 1990 to 2019. The most significant increase in global burden occurred between 2014 and 2019. The age-standardized rate was predicted to remain stable, but the AMD case number was predicted to increase over the next 20 years. Tobacco use was the major diminishing risk factor. Conclusions: The present study demonstrated the increasing AMD burden in the past 30 years and predicted the increasing change of AMD prevalence in the next 20 years in the context of the aging global population. Disease burdens, including case number and age-standardized rate, were higher among females, the elderly, and individuals in high-middle and middle SDI regions. The present findings will contribute to healthcare investment and policymaking.

Indexed as

age-related macular degenerationepidemiological changesGBD 2019 Studyyears lived with disability

Identifiers

PMID41684578
PMCPMC12892289

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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.