Evidence map›Paper›PMID 31788231›Full record

ArticleJournal of global health2019

Time trends and heterogeneity in the disease burden of glaucoma, 1990-2017: a global analysis.

Yichi Zhang, Guangming Jin, Min Fan, Yifan Lin, Xin Wen, Zijing Li, Peng Zeng, Danying Zheng, Yuqing Lan

Abstract read
In one paragraph

Article in Journal of global health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Genetic Aspects of Glaucoma: An Updated Review.Current molecular medicine · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Observational
  11. Article
  12. Review
  13. 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

9 authors.

Yichi ZhangDepartment of Ophthalmology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Guangming JinState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Min FanDepartment of General Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Yifan LinDepartment of Ophthalmology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Xin WenDepartment of Ophthalmology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Zijing LiDepartment of Ophthalmology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Peng ZengDepartment of Ophthalmology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.
Danying ZhengState Key Laboratory of Ophthalmology, Zhongshan Ophthalmic Center, Sun Yat-sen University, Guangzhou, China.
Yuqing LanDepartment of Ophthalmology, Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat-sen Memorial Hospital, Sun Yat-sen University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the disease burden of glaucoma in terms of disability-adjusted life years (DALY) and assess the contribution of risk factors to DALY due to glaucoma.

methodsGlobal, regional, and country DALY number, rate, and age-standardized rates of glaucoma were obtained from the Global Burden of Disease Study 2017 database. The Human Development Index (HDI), Inequality-Adjusted HDI, Socio-Demographic Index (SDI), and other country-level data were derived from international open databases. Regression analysis was used to assess the correlations between the age-standardized DALY rate and the variables.

resultsThe global DALY due to glaucoma increased by 81% from 1990 to 2017 and decreased by 10% over the last two decades after adjusting for age and population size. Males had higher age-standardized DALY rates (

conclusionsHigher education, higher CRS, and diminishing the inequality in resource distribution may help reduce the disease burden of glaucoma. These findings can provide information for policymakers and could serve as an impetus for efforts toward alleviating the disease burden of glaucoma.

Indexed as

AgedAged, 80 and overFemaleGlaucomaGlobal HealthHumansMaleMiddle AgedPersons with DisabilitiesQuality-Adjusted Life YearsRisk Factors

Identifiers

PMID31788231
PMCPMC6875680

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Registered trials

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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.