Evidence map›Paper›PMID 40747992›Full record

ArticleTranslational vision science & technology2025

Personalizing the Transition From 24-2 to 10-2 Visual Field Testing Using ARREST - A Simulation Study.

Andrew Turpin, William H Morgan, Allison M McKendrick

Abstract read
In one paragraph

Article in Translational vision science & technology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. 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
    Article
  2. 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

3 authors.

Andrew TurpinLions Eye Institute, Perth, Australia.
William H MorganLions Eye Institute, Perth, Australia.
Allison M McKendrickLions Eye Institute, Perth, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The decision to switch between peripheral (24-2) and central (10-2) visual field testing in glaucoma currently rests with clinicians and requires a choice between either intensively sampling central vision or including testing of more peripheral locations (not both). We evaluate an automated approach to incorporate 10-2 locations into the 24-2, without increasing test time or reducing the ability to detect glaucomatous progression at the 24-2 locations. Methods: We applied our previously published ARREST approach, restricting added locations to a 10-2 pattern (A10). Using computer simulation, the sensitivity of A10 for detecting progression was compared to a ZEST procedure on the 24-2 pattern. Input fields were a synthetic series of 10 visits (6 monthly) of 126 eyes, derived from empirical longitudinal 24-2 data from people with glaucoma. Results: Forty-seven of the 126 progressing visual field series had locations added by A10. The procedures used a similar number of presentations (mean ± SD: A10, 220 ± 27; ZEST, 226 ± 29). Area under the curve (AUC) and survival time for detecting progressing series were similar between methods. A10 allowed visualization of the macular visual field with higher fidelity. Conclusions: The A10 approach allows automated incorporation of 10-2 locations into the 24-2 pattern that are customized to individuals without increasing test times. Translational Relevance: The A10 enables higher spatial sampling in individually relevant areas of the 10-2, without neglecting testing of the more peripheral visual field.

Indexed as

Computer SimulationGlaucomaVisual FieldsVisual Field TestsAgedDisease ProgressionFemaleHumansMaleMiddle Aged

Identifiers

PMID40747992
PMCPMC12320903

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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.