Evidence map›Paper›PMID 34489337›Full record

ArticleThe British journal of ophthalmology2023

Associations of systemic health and medication use with the enlargement rate of geographic atrophy in age-related macular degeneration.

Liangbo L Shen, Yangyiran Xie, Mengyuan Sun, Aneesha Ahluwalia, Michael M Park, Benjamin K Young, Lucian V Del Priore

Open access · greenAbstract read
In one paragraph

Article in The British journal of ophthalmology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.9field-weighted citation impact, top 27% of its field
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, 10 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Article
  6. Update on glial antibody-mediated optic neuritis.Japanese journal of ophthalmology · 2022
    Review
  7. Geographic atrophy: Understanding the relationship between structure and function.Asia-Pacific journal of ophthalmology (Philadelphia, Pa.)
    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 at 6 institutions in 1 country.

Liangbo L ShenDepartment of Ophthalmology, University of California San Francisco, San Francisco, California, USA.ORCID http://orcid.org/0000-0002-1823-0854
Yangyiran XieDepartment of Ophthalmology and Visual Sciences, Vanderbilt University School of Medicine, Nashville, Tennessee, USA.
Mengyuan SunDepartment of Molecular Biophysics and Biochemistry, Yale University, New Haven, Connecticut, USA.
Aneesha AhluwaliaDepartment of Ophthalmology, Stanford University School of Medicine, Stanford, California, USA.ORCID http://orcid.org/0000-0002-8832-6990
Michael M ParkDepartment of Ophthalmology, New York Eye and Ear Infirmary of Mount Sinai, New York, New York, USA.
Benjamin K YoungDepartment of Ophthalmology and Visual Science, University of Michigan Medical School, Ann Arbor, Michigan, USA.
Lucian V Del PrioreDepartment of Ophthalmology and Visual Science, Yale University School of Medicine, New Haven, Connecticut, USA lucian.delpriore@yale.edu.
Yale University · USNew York Eye and Ear Infirmary · USStanford University · USUniversity of California, San Francisco · USUniversity of Michigan · USVanderbilt University · US

Funding

Yale Core Grant for Vision ResearchP30EY026878 · NEI · YALE UNIVERSITY · PI In-Jung Kim · 2016 to 2026
$7.1M
Short-Term Reserch Training: Students in Health SchoolsT35HL007649 · NHLBI · YALE UNIVERSITY · PI Sarwat I Chaudhry, Erica L Herzog · 1987 to 2026
$5.7M
NIA Short Term Research Training: Students in Health Professional SchoolsT35AG049685 · NIA · YALE UNIVERSITY · PI Sarwat I Chaudhry, Terri R. Fried · 2016 to 2026
$804k
NEI NIH HHS P30 EY026878NHLBI NIH HHS T35 HL007649NIA NIH HHS T35 AG049685
6 · The paper itself

Abstract

backgroundThe associations of geographic atrophy (GA) progression with systemic health status and medication use are unclear.

methodsWe manually delineated GA in 318 eyes in the Age-Related Eye Disease Study. We calculated GA perimeter-adjusted growth rate as the ratio between GA area growth rate and mean GA perimeter between the first and last visit for each eye (mean follow-up=5.3 years). Patients' history of systemic health and medications was collected through questionnaires administered at study enrolment. We evaluated the associations between GA perimeter-adjusted growth rate and 27 systemic health factors using univariable and multivariable linear mixed-effects regression models.

resultsIn the univariable model, GA perimeter-adjusted growth rate was associated with GA in the fellow eye at any visit (p=0.002), hypertension history (p=0.03), cholesterol-lowering medication use (p<0.001), beta-blocker use (p=0.02), diuretic use (p<0.001) and thyroid hormone use (p=0.03). Among the six factors, GA in the fellow eye at any visit (p=0.008), cholesterol-lowering medication use (p=0.002), and diuretic use (p<0.001) were independently associated with higher GA perimeter-adjusted growth rate in the multivariable model. GA perimeter-adjusted growth rate was 51.1% higher in patients with versus without cholesterol-lowering medication use history and was 37.8% higher in patients with versus without diuretic use history.

conclusionsGA growth rate may be associated with the fellow eye status, cholesterol-lowering medication use, and diuretic use. These possible associations do not infer causal relationships, and future prospective studies are required to investigate the relationships further.

Indexed as

Geographic AtrophyMacular DegenerationCholesterolDisease ProgressionDiureticsFluorescein AngiographyFollow-Up StudiesHumansCholesterolDiureticsdegenerationimagingmacularetinatreatment medical

Identifiers

PMID34489337
PMCPMC8898317
OpenAlexW3197506369

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

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.