Evidence map›Paper›PMID 28994139›Full record

ArticleClinical & experimental optometry2018

Advanced imaging for the diagnosis of age-related macular degeneration: a case vignettes study.

Angelica Ly, Lisa Nivison-Smith, Barbara Zangerl, Nagi Assaad, Michael Kalloniatis

Open access · hybridAbstract readCase Reports
In one paragraph

Article in Clinical & experimental optometry, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
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

13 citing papers in PubMed, 21 citations in OpenAlex.

  1. Trial
  2. Stakeholder Perspectives of Implementation Barriers of Artificial Intelligence in Eye Care: A qualitative framework-based study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  3. Case series: The value of fundus autofluorescence in inherited macular disease.Optometry and vision science : official publication of the American Academy of Optometry · 2026
    Article
  4. Artificial intelligence for age-related macular degeneration diagnosis in Australia: A Novel Qualitative Interview Study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2025
    Article
  5. RPE Curvature Can Screen for Early and Intermediate AMD.Investigative ophthalmology & visual science · 2024
    Article
  6. Article
  7. Therapeutic Approaches for Age-Related Macular Degeneration.International journal of molecular sciences · 2022
    Review
  8. Article
  9. Review
  10. Risk factors for progression of age-related macular degeneration.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2020
    Review
  11. Review
  12. Impact of optical coherence tomography on diagnostic decision-making by UK community optometrists: a clinical vignette study.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2019
    Article
  13. 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

5 authors at 2 institutions in 1 country.

Angelica LyCentre for Eye Health, Sydney, New South Wales, Australia.
Lisa Nivison-SmithCentre for Eye Health, Sydney, New South Wales, Australia.
Barbara ZangerlCentre for Eye Health, Sydney, New South Wales, Australia.
Nagi AssaadCentre for Eye Health, Sydney, New South Wales, Australia.
Michael KalloniatisCentre for Eye Health, Sydney, New South Wales, Australia.
UNSW Sydney · AUPrince of Wales Hospital · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe aim of this study is to evaluate the diagnosis, staging, imaging and management preferences, and the effect of advanced imaging among practising optometrists in age-related macular degeneration (AMD).

methodsUp to 20 case vignettes (computer-based case simulations) were completed online in a computer laboratory in random order by 81 practising optometrists of Australia. Each case presented findings from a randomly selected patient seen previously at the Centre for Eye Health for a macular assessment in the following order: case history, preliminary tests and colour fundus photography. Participants were prompted to provide their diagnosis, management and imaging preference. One additional imaging result (either modified fundus photographs and infrared images, fundus autofluorescence, or optical coherence tomography [OCT]) was then provided and the questions repeated. Finally, all imaging results were provided and the questions repeated a third time.

resultsA total of 1,436 responses were analysed. The presence of macular pathology in AMD was accurately detected in 94 per cent of instances. The overall diagnostic accuracy of AMD was 61 per cent using colour fundus photography. This improved by one per cent using one additional imaging modality and a further four per cent using all imaging. Across all responses, a greater improvement in the diagnostic accuracy of AMD occurred following the presentation of OCT findings (versus other modalities). OCT was the most preferred imaging modality for AMD, while multimodal imaging was of greatest benefit in cases more often misdiagnosed using colour fundus photography alone. Overall, the cohort also displayed a tendency to underestimate disease severity.

conclusionDespite reports that imaging technologies improve the stratification of AMD, our findings suggest that this effect may be small when applied among practising optometrists without additional or specific training.

Indexed as

Decision Support TechniquesDiagnostic Techniques, OphthalmologicalTomography, Optical CoherenceAustraliaDecision MakingFalse Positive ReactionsFemaleHumansMacular DegenerationMaleMiddle AgedOptometristsPredictive Value of Testsage-related macular degenerationcase vignettes, diagnosis, imagingoptometrist

Identifiers

PMID28994139
PMCPMC5873408
OpenAlexW2761976234

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.