Evidence map›Paper›PMID 30236774›Full record

ArticleAmerican journal of ophthalmology2019

What Is the Amount of Visual Field Loss Associated With Disability in Glaucoma?

Alessandro A Jammal, Nara G Ogata, Fábio B Daga, Ricardo Y Abe, Vital P Costa, Felipe A Medeiros

Open access · greenAbstract read
In one paragraph

Article in American journal of ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.1field-weighted citation impact, top 23% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. Observational
  4. Article
  5. Article
  6. Article
  7. Artificial Intelligence Mapping of Structure to Function in Glaucoma.Translational vision science & technology · 2020
    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

6 authors at 2 institutions in 2 countries.

Alessandro A JammalDuke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, USA.
Nara G OgataDuke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, USA.
Fábio B DagaDuke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, USA.
Ricardo Y AbeDepartment of Ophthalmology, State University of Campinas, Campinas, São Paulo, Brazil.
Vital P CostaDepartment of Ophthalmology, State University of Campinas, Campinas, São Paulo, Brazil.
Felipe A MedeirosDuke Eye Center, Department of Ophthalmology, Duke University, Durham, North Carolina, USA. Electronic address: felipe.medeiros@duke.edu.
Duke University · USUniversidade Estadual de Campinas (UNICAMP) · BR

Funding

Diagnostic Innovations in Glaucoma Study (DIGS): Functional ImpairmentR01EY021818 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MEDEIROS, FELIPE · 2011 to 2015
$3.4M
The BCI (Brain Computer Interface) Glaucoma Study: Objective Home-Based Detection of Progressive Visual Function Loss in GlaucomaR01EY029885 · NEI · UNIVERSITY OF MIAMI SCHOOL OF MEDICINE · PI MEDEIROS, FELIPE · 2019 to 2022
$2.2M
Development of a Portable Objective Method for Assessment of Visual Field LossR21EY025056 · NEI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI JUNG, TZYY-PING, MEDEIROS, FELIPE · 2015 to 2016
$422k
NEI NIH HHS R01 EY021818NEI NIH HHS R01 EY029885NEI NIH HHS R21 EY025056
6 · The paper itself

Abstract

purposeTo propose a new methodology for classifying patient-reported outcomes in glaucoma and for quantifying the amount of visual field damage associated with disability in the disease.

designCross-sectional study.

methodsA total of 263 patients with glaucoma were included. Vision-related disability was assessed by the National Eye Institute Visual Function Questionnaire (NEI VFQ-25). A latent class analysis (LCA) model was applied to analyze NEI VFQ-25 data and patients were divided into mutually exclusive classes according to their responses to the questionnaires. Differences in standard automated perimetry (SAP) mean deviation (MD) and integrated binocular mean sensitivity (MS) values between classes were investigated. The optimal number of classes was defined based on goodness-of-fit criteria, interpretability, and clinical utility.

resultsThe model with 2 classes, disabled and nondisabled, had the best fit with an entropy of 0.965, indicating excellent separation of classes. The disabled group had 48 (18%) patients, whereas 215 (82%) patients were classified as nondisabled. The average MD of the better eye in the disabled group was -5.98 dB vs -2.51 dB in the nondisabled group (P < .001). For the worse eye, corresponding values were -13.36 dB and -6.05 dB, respectively (P < .001).

conclusionApplication of an LCA model allowed categorization of patient-reported outcomes and quantification of visual field levels associated with disability in glaucoma. A damage of approximately -6 dB for SAP MD, indicating relatively early visual field loss, may already be associated with significant disability if occurring in the better eye.

Indexed as

AgedAged, 80 and overCross-Sectional StudiesFemaleGlaucomaHumansLatent Class AnalysisMaleMiddle AgedVision DisordersVisual Fields

Identifiers

PMID30236774
PMCPMC6884089
OpenAlexW2890289840

What OpenQuestion holds

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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.