Evidence map›Paper›PMID 24629617›Full record

ArticleOphthalmology2014

Assessment of the reliability of standard automated perimetry in regions of glaucomatous damage.

Stuart K Gardiner, William H Swanson, Deborah Goren, Steven L Mansberger, Shaban Demirel

Abstract readEvaluation Study
In one paragraph

Article in Ophthalmology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

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  5. Clinical Effective Dynamic Range and the Measurement Floor of SITA-Faster Visual Field Tests.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
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  20. Exploring the relationship between 24-2 visual field and widefield optical coherence tomography data across healthy, glaucoma suspect and glaucoma eyes.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2024
    Article

58 more citing papers are in PubMed but not listed here.

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

5 authors.

Stuart K GardinerDevers Eye Institute, Legacy Research Institute, Portland, Oregon. Electronic address: sgardiner@deverseye.org.
William H SwansonOptometry and Vision Science, Indiana University, Bloomington, Indiana.
Deborah GorenDevers Eye Institute, Legacy Research Institute, Portland, Oregon.
Steven L MansbergerDevers Eye Institute, Legacy Research Institute, Portland, Oregon.
Shaban DemirelDevers Eye Institute, Legacy Research Institute, Portland, Oregon.

Funding

APPLICATION OF PSYCHOPHYSICAL MODELS TO VISUAL DISORDERSR01EY007716 · NEI · TRUSTEES OF INDIANA UNIVERSITY · PI SWANSON, WILLIAM H. · 1997 to 2013
$4.7M
Functional Testing for GlaucomaR01EY020922 · NEI · LEGACY EMANUEL HOSPITAL AND HEALTH CENTER · PI GARDINER, STUART · 2011 to 2021
$3.2M
NEI NIH HHS R01 EY007716NEI NIH HHS R01-EY007716NEI NIH HHS R01 EY020922NEI NIH HHS R01-EY020922
6 · The paper itself

Abstract

purposeVisual field testing uses high-contrast stimuli in areas of severe visual field loss. However, retinal ganglion cells saturate with high-contrast stimuli, suggesting that the probability of detecting perimetric stimuli may not increase indefinitely as contrast increases. Driven by this concept, this study examines the lower limit of perimetric sensitivity for reliable testing by standard automated perimetry.

designEvaluation of a diagnostic test.

participantsA total of 34 participants with moderate to severe glaucoma; mean deviation at their last clinic visit averaged -10.90 dB (range, -20.94 to -3.38 dB). A total of 75 of the 136 locations tested had a perimetric sensitivity of ≤ 19 dB.

methodsFrequency-of-seeing curves were constructed at 4 nonadjacent visual field locations by the Method of Constant Stimuli (MOCS), using 35 stimulus presentations at each of 7 contrasts. Locations were chosen a priori and included at least 2 with glaucomatous damage but a sensitivity of ≥ 6 dB. Cumulative Gaussian curves were fit to the data, first assuming a 5% false-negative rate and subsequently allowing the asymptotic maximum response probability to be a free parameter.

main outcome measuresThe strength of the relation (R(2)) between perimetric sensitivity (mean of last 2 clinic visits) and MOCS sensitivity (from the experiment) for all locations with perimetric sensitivity within ± 4 dB of each selected value, at 0.5 dB intervals.

resultsBins centered at sensitivities ≥ 19 dB always had R(2) >0.1. All bins centered at sensitivities ≤ 15 dB had R(2) <0.1, an indication that sensitivities are unreliable. No consistent conclusions could be drawn between 15 and 19 dB. At 57 of the 81 locations with perimetric sensitivity <19 dB, including 49 of the 63 locations ≤ 15 dB, the fitted asymptotic maximum response probability was <80%, consistent with the hypothesis of response saturation. At 29 of these locations the asymptotic maximum was <50%, and so contrast sensitivity (50% response rate) is undefined.

conclusionsClinical visual field testing may be unreliable when visual field locations have sensitivity below approximately 15 to 19 dB because of a reduction in the asymptotic maximum response probability. Researchers and clinicians may have difficulty detecting worsening sensitivity in these visual field locations, and this difficulty may occur commonly in patients with glaucoma with moderate to severe glaucomatous visual field loss.

Indexed as

Visual FieldsAgedAged, 80 and overAlgorithmsFalse Negative ReactionsFemaleGlaucoma, Open-AngleHumansMaleMiddle AgedOptic Nerve DiseasesPredictive Value of TestsReproducibility of ResultsSensitivity and SpecificityVision DisordersVisual Field Tests

Identifiers

PMID24629617
PMCPMC4082764

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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.