Evidence map›Paper›PMID 38881606›Full record

ReviewOphthalmology science

Visual Function Measurements in Eyes With Diabetic Retinopathy: An Expert Opinion on Available Measures.

Adam R Glassman, Mohamed Ashraf Elmasry, Darrell E Baskin, Mitchell Brigell, Victor Chong, Quentin Davis, Luis Lesmes, Leonard A Levin, Ted Maddess, Laura J Taylor and 1 more

Abstract readReview
In one paragraph

Review in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 1 pooled it
–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

25 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. MAGIC: Study Design and Rationale for the Phase 2 Clinical Trial of Faricimab for Non-Proliferative Diabetic Retinopathy.Ophthalmologica. Journal international d'ophtalmologie. International journal of ophthalmology. Zeitschrift fur Augenheilkunde · 2026
    Trial
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Diabetic retinal disease.Nature reviews. Disease primers · 2025
    Review
  14. Report of the 2023 Mary Tyler Moore Vision Initiative Workshop.Translational vision science & technology · 2025
    Article
  15. Posterior Retinal Ischemia Correlates With Vision in Patients With Diabetes.Investigative ophthalmology & visual science · 2025
    Observational
  16. Article
  17. Review
  18. Article
  19. Article
  20. Review
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

11 authors.

Adam R GlassmanJaeb Center for Health Research, Tampa, Florida.
Mohamed Ashraf ElmasryDepartment of Ophthalmology, Harvard Medical School, Boston, Massachusetts.
Darrell E BaskinUniversity of Texas Health Science Center at San Antonio, San Antonio, Texas.
Mitchell BrigellConsultant, Belmont, Massachusetts.
Victor ChongUCL Institute of Ophthalmology, London, UK.
Quentin DavisLKC Technologies, Inc, Gaithersburg, Maryland.
Luis LesmesAdaptive Sensory Technology, San Diego, California.
Leonard A LevinDepartments of Ophthalmology & Visual Sciences and Neurology & Neurosurgery, McGill University, Montreal, Canada.
Ted MaddessJohn Curtin School of Medical Research, Australian National University, Canberra, Australian Capital Territory, Australia.
Laura J TaylorNuffield Laboratory of Ophthalmology, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK.
Andreas WenzelRoche Pharma Research & Early Development, F. Hoffmann - La Roche Ltd, Basel, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Clinical Relevance: Visual function impairment from diabetic retinopathy can have a considerable impact on patient's quality of life. Best-corrected visual acuity (BCVA) is most commonly used to assess visual function and guide clinical trials. However, BCVA is affected late in the disease process, is not affected in early disease, and does not capture some of the visual disturbances described by patients with diabetes. The goal of this report is to evaluate the relationship between diabetic retinal disease (DRD) and visual function parameters to determine which if any of them may be used in a future DRD staging system. Methods: The visual functions working group was 1 of 6 areas of DRD studied as part of the DRD staging system update, a project of the Mary Tyler Moore Vision Initiative. The working group identified 12 variables of possible interest, 7 of which were judged to have sufficient preliminary data to suggest an association with DR to warrant further review: microperimetry, static automated perimetry, electroretinogram (ERG) oscillatory potentials, flicker ERG, low luminance visual acuity (LLVA), contrast sensitivity (CS), and BCVA. The objective field analyzer (OFA) was added after subsequent in-person workshops. Results: Currently, the only visual function test available for immediate use is BCVA; the remaining tests are either promising (within 5 years) or have potential (>5 years) use. Besides BCVA, most visual function tests had a limited role in current clinical care; however, LLVA, CS, flicker ERG, and OFA demonstrated potential for screening and research purposes. Conclusions: Although current visual function tests are promising, future prospective studies involving patients with early and more advanced retinopathy are necessary to determine if these tests can be used clinically or as endpoints for clinical studies. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Diabetic retinopathyEndpointsVisual function

Identifiers

PMID38881606
PMCPMC11179417

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.