Evidence map›Paper›PMID 42676614›Full record

ArticleOphthalmology science2026

Validation of the Reaction Time-Based False-Positive Rate as a Reliability Index for Standard Automated Perimetry.

Hiroki Nomoto, Sachiko Okuyama, Chota Matsumoto, Tairo Kimura, Keiji Yoshikawa, Shiro Mizoue, Mami Nanno, Shinji Kimura, Satoshi Inoue, Shunji Kusaka

Abstract read
In one paragraph

Article in Ophthalmology science, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Hiroki NomotoDepartment of Ophthalmology, Kindai University Faculty of Medicine, Osaka, Japan.
Sachiko OkuyamaDepartment of Ophthalmology, Kindai University Faculty of Medicine, Osaka, Japan.
Chota MatsumotoDepartment of Ophthalmology, Kindai University Faculty of Medicine, Osaka, Japan.
Tairo KimuraUeno Eye Clinic, Tokyo, Japan.
Keiji YoshikawaYoshikawa Eye Clinic, Tokyo, Japan.
Shiro MizoueDepartment of Ophthalmology, Ehime University School of Medicine, Ehime, Japan.
Mami NannoKagurasaka Minamino Eye Clinic, Tokyo, Japan.
Shinji KimuraCREWT Medical Systems, Inc., Tokyo, Japan.
Satoshi InoueCREWT Medical Systems, Inc., Tokyo, Japan.
Shunji KusakaDepartment of Ophthalmology, Kindai University Faculty of Medicine, Osaka, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To validate a reaction time (RT)-based false-positive rate (RT-FP) for standard automated perimetry (SAP) and to determine the optimal RT listening window. Design: Retrospective cross-sectional study. Participants: A total of 1201 eyes from 607 glaucoma patients tested with the AIZE algorithm (imo perimeter, 24plus[1-2] pattern). Methods: Reaction time-based FP rate was defined as the proportion of stimulus responses below a defined RT listening window, excluding catch trials. Listening windows of 100, 200, and 300 ms were compared using receiver operating characteristic (ROC) analysis against conventional catch-trial FP rate ≥15%. The effect of excluding responses at locations with estimated threshold ≤0, ≤5, ≤10, and ≤15 dB on the association between RT-FP and disease severity was evaluated using Spearman correlation with mean deviation (MD). Relative variability of each FP index was assessed using the coefficient of variation (CV). Main Outcome Measures: Area under the ROC curve (AUC) for discriminating conventional FP ≥15%, Spearman correlation with MD and CV. Results: A 300-ms listening window achieved the highest discriminative accuracy (AUC = 0.783), outperforming 200-ms (AUC = 0.733) and 100-ms (AUC = 0.718) listening windows (both Conclusion: Reaction time-based FP rate with a 300-ms listening window restricted to locations with estimated threshold >10 dB substantially reduced metric dependence on disease severity to levels comparable to conventional FP, with greater measurement stability and no requirement for dedicated catch trials. This optimized RT-FP represents a promising reliability index for SAP warranting prospective validation. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

AIZE algorithmFalse-positive rateReaction timeStandard automated perimetryVisual field

Identifiers

PMID42676614
PMCPMC13527487

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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.