Evidence map›Paper›PMID 32832255›Full record

ArticleTranslational vision science & technology2020

Comparison of Rates of Progression of Macular OCT Measures in Glaucoma.

Alessandro Rabiolo, Vahid Mohammadzadeh, Nima Fatehi, Esteban Morales, Anne L Coleman, Simon K Law, Joseph Caprioli, Kouros Nouri-Mahdavi

Open access · goldAbstract read
In one paragraph

Article in Translational vision science & technology, 2020. 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
2.4field-weighted citation impact, top 10% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Article
  2. Article
  3. A Model of Progression to Help Identify Macular Damage Due to Glaucoma.Investigative ophthalmology & visual science · 2023
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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

8 authors at 2 institutions in 2 countries.

Alessandro RabioloStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Vahid MohammadzadehStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Nima FatehiStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Esteban MoralesStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Anne L ColemanStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Simon K LawStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Joseph CaprioliStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Kouros Nouri-MahdaviStein Eye Institute, David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA, USA.
Doheny Eye Institute · USUniversity of California, Los Angeles · US

Funding

Detection of Disease Progression in Advanced GlaucomaR01EY029792 · NEI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI NOURI-MAHDAVI, KOUROS · 2020 to 2024
$1.9M
NEI NIH HHS R01 EY029792
6 · The paper itself

Abstract

Purpose: The purpose of this study was to compare rates of change of various macular thickness measures and evaluate the influence of baseline damage on macular rates of change. Methods: One hundred twelve eyes (112 patients) with ≥ 2 years of follow-up and ≥ 5 macular optical coherence tomography (OCT) images and 10-2 visual field (VF) tests were included. OCT measures of interests were full macular thickness (FMT), ganglion cell complex (GCC), ganglion cell/inner plexiform layer (GCIPL), ganglion cell layer (GCL), and outer retinal layer (ORL) thickness in 3° × 3° superpixels. Rates of change were estimated with linear regression and normalized by dividing rates by the average normative superpixel thickness. We compared rates of change and proportion of significantly worsening superpixels (detection rate) and improving superpixels (false discovery rate [FDR]) among macular measures as a function of baseline thickness and 10-2 VF status. Results: Median (interquartile range [IQR]) baseline VF mean deviation, follow-up time, and number of VFs/OCTs were -7.6 dB (-11.8 to -3.8 dB), 4.5 years (4.0-5.0 years), and 9 (8-10), respectively. Normalized FMT and GCC rates of change were faster and detection rates were higher than GCIPL and GCL ( Conclusions: GCC measurements are most likely to detect structural worsening along the spectrum of glaucoma severity. Although FMT rates of change are least influenced by baseline thickness, they partially reflect likely age-related ORL changes. Translational Relevance: GCC thickness measurements seem to be the optimal macular outcome measure for detection of glaucoma deterioration.

Indexed as

GlaucomaTomography, Optical CoherenceAnimalsHumansIntraocular PressureNerve FibersProspective StudiesRetinal Ganglion CellsVisual Fieldsfull macular thicknessganglion cell complexganglion cell/inner plexiform layerganglion cell layermacular sectorsOCT, progressionrates of change

Identifiers

PMID32832255
PMCPMC7414740
OpenAlexW3038976871

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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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.