Evidence map›Paper›PMID 39905351›Full record

ArticleBMC public health2025

Global, regional, and national burden of blindness and vision loss attributable to smoking from 1990 to 2021, and forecasts to 2030: findings from the Global Burden of Disease Study 2021.

Yi Zeng, Yixian Liu, Xingyi Chen, Jennifer Kenny, Rong Rong, Xiaobo Xia

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
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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

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3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi Zeng *Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
Yixian Liu *Eye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
Xingyi ChenEye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
Jennifer KennyEye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China.
Rong RongEye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China. rrong99@csu.edu.cn.
Xiaobo XiaEye Center of Xiangya Hospital, Central South University, Changsha, Hunan, 410008, P.R. China. xbxia21@csu.edu.cn.

Funding

China National Postdoctoral Program for Innovative Talents BX20230434China Postdoctoral Science Foundation 2023M743952National Natural Science Foundation of China 82171058the Youth Science Foundation of Xiangya Hospital 2023Q12
6 · The paper itself

Abstract

objectiveThis study aims to systematically elucidate the burden of blindness and vision loss (BVL) attributable to smoking from 1990 to 2021 and to forecast the trends in BVL burden over the next decade.

methodsWe extracted data on years lived with disability (YLDs) and age-standardized YLDs rate (ASYR) related to blindness and vision loss (BVL) caused by smoking, including cataracts and age-related macular degeneration (AMD), from the Global Burden of Disease (GBD) database for the years 1990 to 2021. These data were disaggregated by age, gender, sociodemographic index (SDI), region, and country. Temporal trends in the burden of smoking-induced BVL were evaluated by calculating the average annual percentage changes (AAPCs).

resultsBVL attributable to smoking presents a significant disease burden, with global BVL-related YLDs attributable to smoking increasing from 1990 to 2021, while ASYR showed a declining trend. In 2021, the global BVL-related YLDs and ASYR attributable to smoking were estimated at 284.03 thousand and 3.27 per 100,000 population. The ASYR for cataract and AMD are 2.60 and 0.68 per 100,000, respectively. The burden was notably higher in males than females, highlighting significant gender disparities. Regionally, the highest burdens were observed in South Asia, Southeast Asia, and North Africa. It is expected that the number of global BVL-related YLDs will increase further by 2030.

conclusionSmoking has imposed a substantial disease burden on BVL over the past three decades. The burden is predominantly concentrated among males, particularly older individuals and those in low to middle-SDI regions. Moreover, the burden of smoking-induced BVL is expected to continue improving over the next decade.

Indexed as

BlindnessCost of IllnessGlobal Burden of DiseaseGlobal HealthSmokingAdultAgedAged, 80 and overCataractDisability-Adjusted Life YearsFemaleForecastingHumansMacular DegenerationMaleMiddle AgedBlindness and vision lossGlobal burden of diseaseRisk factor analysisSmoking

Identifiers

PMID39905351
PMCPMC11792669

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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.