Evidence map›Paper›PMID 39730673›Full record

ArticleScientific reports2024

Macular patterns of neuronal and visual field loss in recovered optic neuritis identified by machine learning.

David Szanto, Jui-Kai Wang, Brian Woods, Tobias Elze, Mona K Garvin, Louis R Pasquale, Randy H Kardon, Joseph Branco, Mark J Kupersmith

Abstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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  5. 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

9 authors.

David SzantoNeurology, Icahn School of Medicine at Mount Sinai, New York, USA.
Jui-Kai WangCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Health System, Iowa City, IA, USA.
Brian WoodsIrish Clinical Academic Training Programme, Department of Ophthalmology, Cork University Hospital, Cork, Ireland.
Tobias ElzeSchepens Eye Research Institute, Harvard Medical School, Boston, MA, USA.
Mona K GarvinCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Health System, Iowa City, IA, USA.
Louis R PasqualeOphthalmology, Icahn School of Medicine at Mount Sinai, New York, USA.
Randy H KardonCenter for the Prevention and Treatment of Visual Loss, Iowa City VA Health System, Iowa City, IA, USA.
Joseph BrancoNew York Medical College, Valhalla, NY, USA.
Mark J KupersmithNeurology, Icahn School of Medicine at Mount Sinai, New York, USA. mark.kupersmith@mountsinai.org.

Funding

VISION RESEARCHP30EY003790 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Patricia Ann D'Amore · 1985 to 2026
$25.5M
Gene-Environment Interactions in GlaucomaR01EY015473 · NEI · MASSACHUSETTS EYE AND EAR INFIRMARY · PI PASQUALE, LOUIS ROBERT · 2005 to 2021
$8.3M
Statistical Unsupervised Learning VF for IIHTT & ONTTR21EY032522 · NEI · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · PI KUPERSMITH, MARK J · 2021 to 2022
$495k
Early Detection of Progressive Visual Loss in Glaucoma Using Deep LearningI01RX003797 · VA · IOWA CITY VA MEDICAL CENTER · PI GARVIN, MONA K., KARDON, RANDY H. · 2022 to 2025
–
Center for the Prevention and Treatment of Visual LossI50RX003002 · VA · IOWA CITY VA MEDICAL CENTER · PI RANDY H. KARDON, MARKUS H. KUEHN · 2019 to 2026
–
Department of Veteran Affairs (VA) Center for the Prevention and Treatment of Visual Loss, Rehabilitation Research and Development (RR&D) I50 RX003002; VA RR&D I01RX003797NEI NIH HHS P30 EY003790NEI NIH HHS R01 EY015473NEI NIH HHS R21 EY032522Research to Prevent Blindness, Inc., New York, NY unrestricted grant to the Department of Ophthalmology NEI R01 EY015473RRD VA I01 RX003797RRD VA I50 RX003002The New York Eye and Ear Infirmary Foundation, New York, N.Y NEI EY032522
6 · The paper itself

Abstract

We used machine learning to investigate the residual visual field (VF) deficits and macula retinal ganglion cell (RGC) thickness loss patterns in recovered optic neuritis (ON). We applied archetypal analysis (AA) to 377 same-day pairings of 10-2 VF and optical coherence tomography (OCT) macula images from 93 ON eyes and 70 normal fellow eyes ≥ 90 days after acute ON. We correlated archetype (AT) weights (total weight = 100%) of VFs and total retinal thickness (TRT), inner retinal thickness (IRT), and macular ganglion cell-inner plexiform layer (GCIPL) thickness. AA showed most ON eyes had a 10-2 VF pattern like the normal fellow eye VF, despite having markedly thinner GCIPL patterns. AA identified 7 VF and 11 retinal thickness ATs for each OCT model. The normal VF AT constituted 80% of ON eyes and 90% of normal fellow eyes. The most common GCIPL AT consisted of diffuse thinning. We identified significant correlations for the normal AT weights using OCT AT weights of five GCIPL ATs (r = 0.45), four TRT ATs (0.53) and two IRT ATs (0.42). Following acute ON, most eyes had complete 10-2 VF recovery despite significant GCIPL thinning, suggesting compensatory mechanisms for vision.

Indexed as

Machine LearningMacula LuteaOptic NeuritisRetinal Ganglion CellsTomography, Optical CoherenceVisual FieldsAdultFemaleHumansMaleMiddle Aged

Identifiers

PMID39730673
PMCPMC11680678

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.