Evidence map›Paper›PMID 40778363›Full record

ArticleOphthalmology science

Targeted Defect-Mapping Microperimetry in Geographic Atrophy: A Sensitive Functional Outcome Measure for Intervention Trials.

Abera Saeed, Robyn H Guymer, Xavier Hadoux, Maxime Jannaud, Darvy Dang, Lauren A B Hodgson, Emily K Glover, Erin E Gee, Peter van Wijngaarden, Zhichao Wu

Abstract read
In one paragraph

Article in Ophthalmology science. 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. Visual Function Assessment in Geographic Atrophy: A Review.Clinical & experimental ophthalmology · 2026
    Review
  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

10 authors.

Abera SaeedCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Robyn H GuymerCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Xavier HadouxCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Maxime JannaudCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Darvy DangCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Lauren A B HodgsonCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Emily K GloverCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Erin E GeeCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Peter van WijngaardenCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.
Zhichao WuCentre for Eye Research Australia, Royal Victorian Eye and Ear Hospital, East Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: To evaluate the effectiveness of targeted defect-mapping microperimetry (DMP) for capturing progressive visual function loss in eyes with a small extent of geographic atrophy (GA). Design: Prospective longitudinal study. Participants: Twenty-seven eyes from 25 participants with <0.75 disc areas of GA, seen over 145 visits in total. Methods: All participants underwent high-density targeted DMP testing of a 4° radius region-of-interest. Two tests were performed at each visit, and participants were reviewed at 3-monthly intervals up to a 24-month period. Spearman rank correlations were calculated to assess structure-function relationships between the proportion of locations missed (PLM; nonresponse to 10-decibel stimuli) on each test and GA extent in the corresponding region tested. Targeted DMP outcome measures were derived based on evaluating the PLM from all test locations, or only from points adjacent to locations that were repeatably nonresponding on both baseline tests. These DMP outcome measures, and GA extent in the central 8° radius region, were compared based on the coefficient of variation (CoV; representing performance for capturing longitudinal changes) and sample size requirements for trials powered to detect a ≥30% treatment effect. Main Outcome Measures: Correlation coefficients, CoV, and sample size estimates. Results: There was a strong and moderate structure-function correlation between the PLM on targeted DMP and GA extent in the corresponding region tested at the cross section and longitudinally, respectively (correlation coefficient = 0.88 and 0.57, respectively). Evaluating PLM from points ≤0.5° adjacent to repeatably nonresponding locations at baseline was the best-performing DMP outcome measure (CoV = 71%), which was comparable with evaluating GA extent in the central 8° region (CoV = 80%). Evaluating this DMP outcome measure reduced the sample size of a 24-month trial by 46% compared with evaluating GA extent. Conclusions: Targeted DMP testing can provide a sensitive functional outcome measure for trials that can capture longitudinal changes as effectively as measuring structural changes in eyes with a small extent of GA. The high structure-function correlations observed suggests that beneficial treatment effects on GA growth would likely be accompanied by corresponding evidence of functional benefit captured by targeted DMP testing. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Age-related macular degenerationFundus autofluorescenceGeographic atrophyMicroperimetryVisual field tests

Identifiers

PMID40778363
PMCPMC12329078

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.