Evidence map›Paper›PMID 33150048›Full record

ArticleTranslational vision science & technology2020

Reasons why OCT Global Circumpapillary Retinal Nerve Fiber Layer Thickness is a Poor Measure of Glaucomatous Progression.

Melvi D Eguia, Emmanouil Tsamis, Zane Z Zemborain, Ashley Sun, Joseph Percival, C Gustavo De Moraes, Robert Ritch, Donald C Hood

Abstract 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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
  2. A Pattern-Based OCT Metric for Glaucoma Detection.Translational vision science & technology · 2024
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. 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.

Melvi D EguiaEinhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA.
Emmanouil TsamisDepartment of Psychology, Columbia University, New York, NY, USA.
Zane Z ZemborainDepartment of Psychology, Columbia University, New York, NY, USA.
Ashley SunDepartment of Psychology, Columbia University, New York, NY, USA.
Joseph PercivalEinhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA.
C Gustavo De MoraesDepartment of Ophthalmology, Columbia University Irving Medical Center, New York, NY, USA.
Robert RitchEinhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA.
Donald C HoodEinhorn Clinical Research Center, New York Eye and Ear Infirmary of Mount Sinai, New York, NY, USA.

Funding

Instrumentation, Fabrication, and Design CoreP30EY019007 · NEI · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI Xin Zhang · 2010 to 2026
$12.9M
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
NEI NIH HHS P30 EY019007NEI NIH HHS R01 EY002115NEI NIH HHS R01 EY025253
6 · The paper itself

Abstract

Purpose: To assess the effects of local defects, segmentation errors, and improper image alignment on the performance of the commonly used optical coherence tomography (OCT) measure of progression, that is the change in global (average) circumpapillary retinal nerve fiber layer (cpRNFL) thickness (ΔG). Methods: One hundred fifty eyes suspected of, or with, early glaucoma had OCT circle and cube scans obtained using eye tracking on two occasions at least 1 year apart. Statistical progression was defined by fixed values of ΔG (3-8 um) and quantile regression. For a reference standard, four authors identified 30 eyes as "likely progressed," and 61 eyes that "likely had not progressed" based on OCT reports from both baseline and follow-up tests. Results: A ΔG criterion of 4 um had the best accuracy: 77%, with 5 false positive (8.2%) and 16 false negative (53%). A post hoc analysis of circular b-scans and OCT probability maps of these eyes indicated that segmentation errors and local progression accounted for most of these mistakes. Segmentation errors, although less common, were also present in true positives and true negatives. Conclusions: Local defects and segmentation errors are the primary reasons for the poor performance of cpRNFL thickness G metric. Because these problems are difficult, if not impossible, to eliminate, the G metric should not be relied on in isolation for detecting glaucomatous progression. Translational Relevance: Local defects and segmentation errors are easily identified by viewing OCT circumpapillary images, which should be part of the standard protocol for detecting glaucomatous progression.

Indexed as

GlaucomaTomography, Optical CoherenceHumansIntraocular PressureNerve FibersRetinal Ganglion Cellsglaucomaoptical coherence tomographyprogressionsummary metrics

Identifiers

PMID33150048
PMCPMC7585398

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.