Evidence mapPaperPMID 39878632Full record

ArticleJournal of glaucoma2025

Performance of Optic Disc Optical Coherence Tomography Normative Database in a Large, Diverse, Real-World Cohort.

Rithambara Ramachandran, Ming-Chen Lu, Leslie M Niziol, Maria A Woodward, Angela R Elam, Leroy Johnson, Martha Kershaw, David C Musch, Amanda Bicket, Denise John and 5 more

Abstract read
In one paragraph

Article in Journal of glaucoma, 2025. 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
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

1 citing paper in PubMed.

  1. 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

15 authors.

Rithambara RamachandranDepartments of Ophthalmology and Visual Sciences.
Ming-Chen LuDepartments of Ophthalmology and Visual Sciences.
Leslie M NiziolDepartments of Ophthalmology and Visual Sciences.
Maria A WoodwardDepartments of Ophthalmology and Visual Sciences.
Angela R ElamDepartments of Ophthalmology and Visual Sciences.
Leroy JohnsonHamilton Community Health Network, Federally Qualified Health Center, Flint.
Martha KershawHope Clinic, community health center, Ypsilanti, MI.
David C MuschDepartments of Ophthalmology and Visual Sciences.
Amanda BicketDepartments of Ophthalmology and Visual Sciences.
Denise JohnDepartments of Ophthalmology and Visual Sciences.
Sarah Dougherty WoodDepartments of Ophthalmology and Visual Sciences.
Amy ZhangDepartments of Ophthalmology and Visual Sciences.
Jason ZhangDepartments of Ophthalmology and Visual Sciences.
Joan O'BrienDepartment of Ophthalmology, Scheie Eye Institute, University of Pennsylvania, PA.
Paula Anne Newman-CaseyDepartments of Ophthalmology and Visual Sciences.

Funding

VISION RESEARCHP30EY007003 · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 1987 to 2025
$4.1M
NCCDPHP CDC HHS U01 DP006442NEI NIH HHS P30 EY007003NIMHD NIH HHS K23 MD016430
6 · The paper itself

Abstract

PRÉCIS: Current optical coherence tomography normative sample data may not represent the diversity of human optic nerve anatomy needed to accurately classify all individuals with true glaucomatous optic neuropathy. PURPOSE: To compare optic nerve head (ONH) measurements between published values from an optical coherence tomography (OCT) normative database and a larger, more diverse cohort of healthy individuals. PATIENTS AND

methodsONH parameters from healthy participants of the Michigan Screening and Intervention for Glaucoma and Eye Health through Telemedicine (MI-SIGHT) program and the Topcon Maestro-1 normative cohort were compared. χ 2 tests compared MI-SIGHT retinal nerve fiber layer (RNFL) quadrant color-code labels with the expected distribution and multinomial logistic regression identified factors associated with label classifications.

resultsIn all, 1084 MI-SIGHT and 399 Topcon eyes were evaluated. The MI-SIGHT cohort was older (54 vs. 46 y), with more individuals identifying as black (61% vs. 20%), fewer as Hispanic (4% vs. 18%), and spherical equivalents closer to plano (-0.6 vs. -1.2 diopters) compared to the Topcon cohort (all P <0.001). Black/African American MI-SIGHT participants had larger cup-to-disc ratios and cup volumes, while white MI-SIGHT participants had smaller ONH values, except for rim area and rim volume, compared to Topcon participants (all P <0.001). The MI-SIGHT cohort's RNFL color codes did not follow the expected distribution ( P <0.05); more MI-SIGHT RNFL quadrant measurements were assigned as white (10.6% and 6.3% MI-SIGHT vs. 5% Topcon) and red codes (2.2% and 1.8% MI-SIGHT vs. <1% Topcon) than expected in the superior and inferior quadrants, respectively.

conclusionsOCT normative databases should accurately reflect diverse populations to avoid misclassification by RNFL thickness color codes. Larger data sets should be leveraged to encompass the full spectrum of healthy optic nerve anatomy.

Indexed as

Databases, FactualGlaucomaOptic DiskOptic Nerve DiseasesRetinal Ganglion CellsTomography, Optical CoherenceAdultAgedFemaleHumansIntraocular PressureMaleMiddle AgedNerve FibersReference ValuesVisual Fieldsbiasbig datadiversityglaucomanormative dataoptical coherence tomography (OCT)screening

Identifiers

PMID39878632
PMCPMC12021544

What Socratic holds

Textmetadata
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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 Socratic graph.