Evidence map›Paper›PMID 36183081›Full record

ArticleBMC ophthalmology2022

Mental health and visual acuity in patients with age-related macular degeneration.

Cheryl N Fonteh, Marc T Mathias, Naresh Mandava, Niranjan Manoharan, Anne M Lynch, Roxanne Navo, Jennifer L Patnaik, University of Colorado Retina Research Group

Abstract read
In one paragraph

Article in BMC ophthalmology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Cell therapy for age-related macular degeneration.Mammalian genome : official journal of the International Mammalian Genome Society · 2026
    Review
  4. Article
  5. Review
  6. A cost-minimization analysis of anti-VEGFs for the treatment of neovascular age-related macular degeneration in the Netherlands.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2025
    Article
  7. Article
  8. Article
  9. 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

8 authors.

Cheryl N FontehDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA. cheryl.fonteh@cuanschutz.edu.
Marc T MathiasDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA.
Naresh MandavaDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA.
Niranjan ManoharanDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA.
Anne M LynchDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA.
Roxanne NavoDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA.
Jennifer L PatnaikDepartment of Ophthalmology, University of Colorado School of Medicine, Aurora, CO, USA.
University of Colorado Retina Research Group

Funding

Biomarkers of Systemic Inflammation in Intermediate Age-Related Macular DegenerationR01EY032456 · NEI · UNIVERSITY OF COLORADO DENVER · PI LYNCH, ANNE M. · 2021 to 2024
$1.6M
NEI NIH HHS R01 EY032456
6 · The paper itself

Abstract

backgroundVisual acuity (VA) loss has been associated with depression in patients with age-related macular degeneration (AMD). However, previous studies did not incorporate subgroups of AMD when correlating VA and mental health. The goal of this study was to describe the relationship between VA and mental health questions in patients with different classifications of AMD, and to identify associations of mental health subscale scores.

methodsAMD patients classified by multi-modal imaging were recruited into an AMD registry. Habitual VA was obtained by ophthalmic technicians using the Snellen VA at distance. At enrollment, patients completed the NEI-VFQ-25, which includes 25 questions regarding the patient's visual functionality. Median with interquartile-range (IQR) scores on the mental health subscale of the VFQ were calculated by AMD classification and VA groups. Univariate and multivariable general linear models were used to estimate associations between mental health scores and variables of interest.

resultsEight hundred seventy-five patients were included in the study. Patients with bilateral geographic atrophy (GA) or bilateral GA and neovascular (NV) AMD scored lowest on the mental health subscales with a median (IQR) of 58.2 (38-88) and 59.3 (38-88). When stratified by VA, patients with a habitual VA of 20/200 or worse scored the lowest on mental health subscales scores: median of 43.8 (IQR: 31-62). Patients with a VA of 20/20 scored the highest: 87.5 (IQR: 81-94). Habitual VA of the better- and worse-seeing eye and AMD classification were significantly associated with mental health subscale scores (all p < 0.0001 in both the univariate and multivariable analysis, except the VA of the worse-seeing eye in multivariable model p = 0.027). Patients enrolled during the COVID pandemic had mental health scores that were 2.7 points lower than prior to the pandemic, but this difference was not significant in univariate (p = 0.300) or multivariable analysis (p = 0.202).

conclusionThere is a significant association between mental health questionnaire scores and AMD classification, as well as VA in both the better and worse-seeing eyes in patients with AMD. It is important for clinicians to recognize feelings of worry/ frustration in these patients, so they can be appropriately referred, screened, and treated for mental health problems.

Indexed as

COVID-19Geographic AtrophyMacular DegenerationHumansMental HealthQuality of LifeSurveys and QuestionnairesVision DisordersVisual AcuityAge-related macular degenerationMental healthRetinaVison function questionnaires

Identifiers

PMID36183081
PMCPMC9526530

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LicenceCC BY
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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.