Evidence map›Paper›PMID 36939711›Full record

ArticleTranslational vision science & technology2023

Progression of Early Glaucomatous Damage: Performance of Summary Statistics From Optical Coherence Tomography and Perimetry.

Emmanouil Tsamis, Sol La Bruna, Anvit Rai, Ari Leshno, Jennifer Grossman, George Cioffi, Jeffrey M Liebmann, Carlos Gustavo De Moraes, Donald C Hood

Full text read
In one paragraph

Article in Translational vision science & technology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

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

9 authors.

Emmanouil TsamisDepartment of Psychology, Columbia University, New York, NY, USA.
Sol La BrunaDepartment of Psychology, Columbia University, New York, NY, USA.
Anvit RaiDepartment of Psychology, Columbia University, New York, NY, USA.
Ari LeshnoBernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Jennifer GrossmanDepartment of Psychology, Columbia University, New York, NY, USA.
George CioffiBernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Jeffrey M LiebmannBernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Carlos Gustavo De MoraesBernard and Shirlee Brown Glaucoma Research Laboratory, Department of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Donald C HoodDepartment of Psychology, Columbia University, New York, NY, USA.

Funding

Tests of Models of Retinal/Optic Nerve Diseases&AdaptionR01EY002115 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI HOOD, DONALD C. · 1985 to 2018
$7.4M
Structural and Functional Progression of Glaucomatous Damage to the MaculaR01EY025253 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI DE MORAES, CARLOS GUSTAVO · 2015 to 2017
$1.2M
Development, validation and assessment of an automated, topographic structure-function approach to the detection of glaucoma and its progressionK99EY032182 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI TSAMIS, EMMANOUIL · 2021 to 2022
$261k
NEI NIH HHS K99 EY032182NEI NIH HHS R01 EY002115NEI NIH HHS R01 EY025253
6 · The paper itself

Abstract

Purpose: Performance comparison of optical coherence tomography (OCT) and visual field (VF) summary metrics for detecting glaucomatous progression. Methods: Thirty healthy control eyes (mean deviation [MD], -1.25 ± 2.03; pattern standard deviation [PSD] , 1.78 ± 0.77) and 91 patient eyes comprised of 54 glaucoma patients and 37 glaucoma suspects (MD, -1.58 ± 1.96; PSD, 2.82 ± 1.92) with a follow-up of at least 1 year formed a group to evaluate progression with event analyses (P-Event). A subset of eyes with an additional criterion of a minimum of four tests was used for trend analyses (P-Trend) (30 healthy controls and 73 patients). For P-Event analysis, test-retest variability thresholds (lower 5th percentile) were estimated with repeat tests within a 4-month period. A P-Event eye was considered a "progressor" if the difference between follow-up and baseline tests exceeded the variability thresholds. For the P-Trend analysis, rates of change were calculated based on least-squares regression. Negative rates with significant (P < 0.05) values were considered progressing. For a reference standard, 17 patient eyes were classified as definitely progressing based on clear evidence of structural and corresponding functional progression. Results: Isolated OCT and VF summary metrics were either inadequately sensitive or not too specific. Combinations of OCT-OCT and OCT-VF metrics markedly improved specificity to nearly 100%. A novel combination of OCT metrics (circumpapillary retinal nerve fiber layer and ganglion cell layer) showed high precision, with 13 of the 15 statistical progressors confirmed as true positives. Conclusions: Although relying solely on metrics is not recommended for clinical purposes, in situations requiring very high specificity and precision, combinations of OCT-OCT metrics can be used. Translational Relevance: All available OCT and VF metrics can miss eyes with progressive glaucomatous damage and/or can falsely identify progression in stable eyes.

Indexed as

GlaucomaVisual Field TestsHumansIntraocular PressureNerve FibersRetinal Ganglion CellsTomography, Optical Coherence

Identifiers

PMID36939711
PMCPMC10043504

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read44
identifiers read2
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.