Evidence map›Paper›PMID 35577922›Full record

ArticleEye (London, England)2023

Online circular contrast perimetry via a web-application: optimising parameters and establishing a normative database.

Simon Edward Skalicky, Deus Bigirimana, Lazar Busija

Erratum issuedAbstract read
In one paragraph

Article in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Simon Edward SkalickyGlaucoma Investigation and Research Unit, the Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia. seskalicky@gmail.com.
Deus BigirimanaGlaucoma Investigation and Research Unit, the Royal Victorian Eye and Ear Hospital, Melbourne, VIC, Australia.
Lazar Busija

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo establish a normative database and optimise parameters for personal-computer based perimetry via a web-application using circular contrast targets.

methodsOnline 24-degree 52-loci perimetry was delivered through a web-application using circular flickering contrast targets. Embedding contrast differentials within targets allows calculation of relative decibel (rdB) per 256-bit greyscale level differential. Target light-band maximum brightness colour was fixed, while the dark-band varied to achieve the desired rdB level. A staircase system was used with two reversals ranging from 0 to 36 rdB levels. Blind spot localisation at the start of the test was used to optimise viewing distance and subsequently count fixation losses. Gaze was maintained on a spinning golden star which moves mid-test to maximise sampling area. Patients performed the test to each eye separately using a computer in a darkened room at 40-45 cm.

results158 eyes of 101 patients completed the Online Circular Contrast Perimetry (OCCP) test. Mean age was 62.9 ± 14.3 years old. Mean sensitivity reduced with age, at 1.0 relative decibel per decade. Mean sensitivity per locus correlated with standard automated perimetry (SAP) in a physiological hill of vision, with an average difference of 4.02 decibels (95% confidence interval (CI) = 3.77-4.27, p < 0.001) and good agreement between tests.

conclusionsOnline circular contract perimetry provides accurate perimetric testing with comparable results to standard automated perimetry.

Indexed as

Visual FieldsVisual Field TestsAgedEyeHumansInfantMiddle AgedSensitivity and SpecificityVision Disorders

Identifiers

PMID35577922
PMCPMC9109437

What OpenQuestion holds

Textmetadata
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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.