Evidence map›Paper›PMID 40142352›Full record

ArticleMedicina (Kaunas, Lithuania)2025

PyGlaucoMetrics: A Stacked Weight-Based Machine Learning Approach for Glaucoma Detection Using Visual Field Data.

Mousa Moradi, Saber Kazeminasab Hashemabad, Daniel M Vu, Allison R Soneru, Asahi Fujita, Mengyu Wang, Tobias Elze, Mohammad Eslami, Nazlee Zebardast

Abstract read
In one paragraph

Article in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

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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.

Mousa MoradiHarvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-0020-7365
Saber Kazeminasab HashemabadHarvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.
Daniel M VuMassachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0003-0592-2648
Allison R SoneruMassachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.
Asahi FujitaMassachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.
Mengyu WangHarvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.
Tobias ElzeHarvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.
Mohammad EslamiHarvard Ophthalmology AI Lab, Schepens Eye Research Institute of Massachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.ORCID 0000-0002-6570-2826
Nazlee ZebardastMassachusetts Eye and Ear, Harvard Medical School, Boston, MA 02114, USA.

Funding

VISION RESEARCHP30EY003790 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Patricia Ann D'Amore · 1985 to 2026
$25.5M
Personalizing Glaucoma Diagnosis by Disease Specific Patterns and Individual Eye AnatomyR01EY030575 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI ELZE, TOBIAS · 2019 to 2023
$2.4M
Developing Population-Generalizable Deep Learning Models for Automated Glaucoma ScreeningR01EY036222 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI Mengyu Wang · 2024 to 2026
$2.0M
Personalizing Circumpapillary Retinal Nerve Fiber Layer Thickness Norms for GlaucomaR21EY035298 · NEI · SCHEPENS EYE RESEARCH INSTITUTE · PI WANG, MENGYU · 2023 to 2023
$557k
MIT-MGB AI Cures GrantNEI NIH HHS P30 EY003790NEI NIH HHS R01 EY030575NEI NIH HHS R01 EY036222NEI NIH HHS R21 EY035298NIH HHS R01 EY036222NIH HHS R21 EY035298
6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

GlaucomaMachine LearningVisual FieldsAdultAgedFemaleHumansMaleMiddle AgedVisual Field TestsclassificationglaucomaHumphrey field analyzermachine learningMLP

Identifiers

PMID40142352
PMCPMC11944261

What OpenQuestion holds

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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.