Evidence map›Paper›PMID 36754173›Full record

ArticleOphthalmology2023

Comparing the Accuracy of Peripapillary OCT Scans and Visual Fields to Detect Glaucoma Worsening.

Chris Bradley, Patrick Herbert, Kaihua Hou, Mathias Unberath, Pradeep Ramulu, Jithin Yohannan

Open access · bronzeAbstract read
In one paragraph

Article in Ophthalmology, 2023. 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
5.0field-weighted citation impact, top 4% 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

7 citing papers in PubMed, 18 citations in OpenAlex.

  1. Article
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  5. Big data in visual field testing for glaucoma.Taiwan journal of ophthalmology
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors at 1 institution in 1 country.

Chris BradleyWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland. Electronic address: cbradley05@gmail.com.
Patrick HerbertMalone Center of Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Kaihua HouMalone Center of Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Mathias UnberathMalone Center of Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Pradeep RamuluWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jithin YohannanWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland; Malone Center of Engineering in Healthcare, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Johns Hopkins University · US

Funding

A Comprehensive Strategy to Detect Glaucoma Worsening Earlier and With Fewer TestsK23EY032204 · NEI · JOHNS HOPKINS UNIVERSITY · PI YOHANNAN, JITHIN · 2021 to 2025
$956k
NEI NIH HHS K23 EY032204
6 · The paper itself

Abstract

purposeTo compare the accuracy of detecting moderate and rapid rates of glaucoma worsening over a 2-year period with different numbers of OCT scans and visual field (VF) tests in a large sample of glaucoma and glaucoma suspect eyes.

designDescriptive and simulation study.

participantsThe OCT sample comprised 12 150 eyes from 7392 adults with glaucoma or glaucoma suspect status followed up at the Wilmer Eye Institute from 2013 through 2021. The VF sample comprised 20 583 eyes from 10 958 adults from the same database. All eyes had undergone at least 5 measurements over follow-up from the Zeiss Cirrus OCT or Humphrey Field Analyzer.

methodsWithin-eye rates of change in retinal nerve fiber layer (RNFL) thickness and mean deviation (MD) were measured using linear regression. For each measured rate, simulated measurements of RNFL thickness and MD were generated using the distributions of residuals. Simulated rates of change for different numbers of OCT scans and VF tests over a 2-year period were used to estimate the accuracy of detecting moderate (75th percentile) and rapid (90th percentile) worsening for OCT and VF. Accuracy was defined as the percentage of simulated eyes in which the true rate of worsening (the rate without measurement error) was at or less than a criterion rate (e.g., 75th or 90th percentile).

main outcome measuresThe accuracy of diagnosing moderate and rapid rates of glaucoma worsening for different numbers of OCT scans and VF tests over a 2-year period.

resultsAccuracy was less than 50% for both OCT and VF when diagnosing worsening after a 2-year period. OCT accuracy was 5 to 10 percentage points higher than VF accuracy at detecting moderate worsening and 10 to 15 percentage points higher for rapid worsening. Accuracy increased by more than 17 percentage points when using both OCT and VF to detect worsening, that is, when relying on either OCT or VF to be accurate.

conclusionsMore frequent OCT scans and VF tests are needed to improve the accuracy of diagnosing glaucoma worsening. Accuracy greatly increases when relying on both OCT and VF to detect worsening. FINANCIAL DISCLOSURE(S): The author(s) have no proprietary or commercial interest in any materials discussed in this article.

Indexed as

GlaucomaVisual FieldsAdultHumansIntraocular PressureNerve FibersRetinal Ganglion CellsTomography, Optical CoherenceVisual Field TestsGlaucoma worseningOCTRetinal nerve fiber layer thicknessVisual fields

Identifiers

PMID36754173
PMCPMC10200740
OpenAlexW4319312166

What OpenQuestion holds

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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.