Evidence map›Paper›PMID 38105914›Full record

ArticleClinical ophthalmology (Auckland, N.Z.)2023

Characterizing Macular Neovascularization in Myopic Macular Degeneration and Age-Related Macular Degeneration Using Swept Source OCTA.

Diane N Sayah, Itika Garg, Raviv Katz, Ying Zhu, Ying Cui, Rebecca Zeng, Rachel Tandias, Jade Y Moon, Filippos Vingopoulos, Hannah E Wescott and 10 more

Open access · goldAbstract read
In one paragraph

Article in Clinical ophthalmology (Auckland, N.Z.), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.1field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Shaping the future of myopia: artificial intelligence for vitreoretinal complications of high and pathologic myopia.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
    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

20 authors at 3 institutions in 2 countries.

Diane N SayahHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0002-3734-403X
Itika GargHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0002-9537-8561
Raviv KatzHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0002-5305-8551
Ying ZhuHarvard Retinal Imaging Lab, Boston, MA, USA.
Ying CuiHarvard Retinal Imaging Lab, Boston, MA, USA.
Rebecca ZengHarvard Retinal Imaging Lab, Boston, MA, USA.
Rachel TandiasHarvard Retinal Imaging Lab, Boston, MA, USA.
Jade Y MoonHarvard Retinal Imaging Lab, Boston, MA, USA.
Filippos VingopoulosHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0003-3778-5473
Hannah E WescottHarvard Retinal Imaging Lab, Boston, MA, USA.
Grace BaldwinHarvard Retinal Imaging Lab, Boston, MA, USA.
Kira WangHarvard Retinal Imaging Lab, Boston, MA, USA.
Tobias ElzeHarvard Retinal Imaging Lab, Boston, MA, USA.
Cassie Ann LudwigHarvard Retinal Imaging Lab, Boston, MA, USA.
Demetrios G VavvasHarvard Retinal Imaging Lab, Boston, MA, USA.
Joan W MillerHarvard Retinal Imaging Lab, Boston, MA, USA.
Deeba HusainHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0002-8494-0950
Leo A KimHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0001-9106-6416
Nimesh A PatelHarvard Retinal Imaging Lab, Boston, MA, USA.
John B MillerHarvard Retinal Imaging Lab, Boston, MA, USA.ORCID 0000-0003-0109-9738
Massachusetts Eye and Ear Infirmary · USCentral South University · CNGuangdong Academy of Medical Sciences · CN

Funding

VISION RESEARCHP30EY003790 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Patricia Ann D'Amore · 1985 to 2026
$25.5M
NEI NIH HHS P30 EY003790
6 · The paper itself

Abstract

Purpose: Visual prognosis and treatment burden for macular neovascularization (MNV) can differ between myopic macular degeneration (MMD) and age-related macular degeneration (AMD). We describe and compare MNV associated with MMD and AMD using swept-source (SS)-OCTA. Patients and Methods: Adult patients with documented MNV associated with MMD or AMD were consecutively recruited. Qualitative and quantitative features were assessed from 6x6mm angiograms, including the MNV area and vessel density (VD). Descriptive statistics and linear regression analyses were carried out. Results: Out of 75 enrolled eyes with diagnosed MNV (30 MMD-MNV and 45 AMD-MNV; mean age 55±19 and 75±8 years, respectively), 44 eyes had discernible MNV (11 MMD-MNV and 33 AMD-MNV) on SS-OCTA at the time of the study and were included in the analysis. The MMD-MNV group exhibited a three-fold smaller sized MNV (p=0.001), lower greatest linear dimension (p=0.009) and greatest vascular caliber (p<0.001) compared to AMD-MNVs, and had a higher prevalence of tree-in-bud pattern. Eyes with AMD showed a higher prevalence of type 1 MNVs with medusa pattern. There was no difference in the location of the MNV, shape's regularity, margins, presence of core vessel, capillary fringe, peripheral loops, or perilesional dark halo (p>0.05) between both conditions. After adjustment, decreased MNV area and increased VD were associated with the tree-in-bud pattern, whereas the diagnosis did not significantly influence those parameters. Conclusion: While larger studies are warranted, this study is the first to describe and compare MMD-MNV and AMD-MNV using SS-OCTA, providing relevant clinical insight on MNV secondary to MMD and AMD. These findings also further validate OCTA as a powerful tool to detect and characterize MNV non-invasively.

Indexed as

age-related macular degenerationhigh myopiamacular neovascularizationOCT angiographyswept source

Identifiers

PMID38105914
PMCPMC10725687
OpenAlexW4389608799

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.