Evidence map›Paper›PMID 34902545›Full record

ReviewProgress in retinal and eye research2022

Diabetic macular ischaemia- a new therapeutic target?

Chui Ming Gemmy Cheung, Amani Fawzi, Kelvin Yc Teo, Hisashi Fukuyama, Sagnik Sen, Wei-Shan Tsai, Sobha Sivaprasad

Open access · greenAbstract readReview
In one paragraph

Review in Progress in retinal and eye research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed
9.5field-weighted citation impact, top 1% 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

55 citing papers in PubMed, 78 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Review
  5. Article
  6. Article
  7. Association and Multimodal Model of Retinal Mid-Peripheral Capillary Free Zones with Structural and Functional Parameters in Diabetic Patients Without Clinical Retinopathy.Ophthalmic & physiological optics : the journal of the British College of Ophthalmic Opticians (Optometrists) · 2026
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Diabetic retinal disease.Nature reviews. Disease primers · 2025
    Review
  16. Article
  17. Article
  18. Posterior Retinal Ischemia Correlates With Vision in Patients With Diabetes.Investigative ophthalmology & visual science · 2025
    Observational
  19. Article
  20. 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

7 authors at 6 institutions in 5 countries.

Chui Ming Gemmy CheungSingapore Eye Research Institution, Singapore National Eye Centre, Singapore; Duke-NUS Medical School, National University of Singapore, Singapore.
Amani FawziNorthwestern University, Illinois, USA.
Kelvin Yc TeoSingapore Eye Research Institution, Singapore National Eye Centre, Singapore.
Hisashi FukuyamaHyogo College of Medicine, Nishinomiya, Japan.
Sagnik SenAravind Eye Hospital, Madurai, India.
Wei-Shan TsaiNIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, London, United Kingdom.
Sobha SivaprasadNIHR Moorfields Biomedical Research Centre, Moorfields Eye Hospital, London, United Kingdom. Electronic address: senswathi@aol.com.
NIHR Moorfields Biomedical Research Centre · GBAravind Eye Hospital · INHyogo Medical University · JPNational University of Singapore · SGNorthwestern University · USSingapore National Eye Center · SG

Funding

Exploring the angiogenesis-to-fibrosis transition in ischemic retinopathies RenewalR01EY030121 · NEI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Amani A Fawzi · 2020 to 2026
$2.9M
Medical Research Council MR/P027881/1NEI NIH HHS R01 EY030121
6 · The paper itself

Abstract

Diabetic macular ischaemia (DMI) is traditionally defined and graded based on the angiographic evidence of an enlarged and irregular foveal avascular zone. However, these anatomical changes are not surrogate markers for visual impairment. We postulate that there are vascular phenotypes of DMI based on the relative perfusion deficits of various retinal capillary plexuses and choriocapillaris. This review highlights several mechanistic pathways, including the role of hypoxia and the complex relation between neurons, glia, and microvasculature. The current animal models are reviewed, with shortcomings noted. Therefore, utilising the advancing technology of optical coherence tomography angiography (OCTA) to identify the reversible DMI phenotypes may be the key to successful therapeutic interventions for DMI. However, there is a need to standardise the nomenclature of OCTA perfusion status. Visual acuity is not an ideal endpoint for DMI clinical trials. New trial endpoints that represent disease progression need to be developed before irreversible vision loss in patients with DMI. Natural history studies are required to determine the course of each vascular and neuronal parameter to define the DMI phenotypes. These DMI phenotypes may also partly explain the development and recurrence of diabetic macular oedema. It is also currently unclear where and how DMI fits into the diabetic retinopathy severity scales, further highlighting the need to better define the progression of diabetic retinopathy and DMI based on both multimodal imaging and visual function. Finally, we discuss a complete set of proposed therapeutic pathways for DMI, including cell-based therapies that may provide restorative potential.

Indexed as

Diabetes MellitusDiabetic RetinopathyMacula LuteaFluorescein AngiographyFundus OculiHumansIschemiaRetinal VesselsTomography, Optical CoherenceDiabetic macular ischaemiaDiabetic macular oedemaDiabetic retinopathyFoveal avascular zoneOptical coherence tomographyOptical coherence tomography angiography

Identifiers

PMID34902545
PMCPMC11268431
OpenAlexW4200371575

What OpenQuestion holds

Textmetadata
LicenceTDM
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.