Evidence map›Paper›PMID 39161752›Full record

ArticleOphthalmology science

Biological and Methodological Variability in Retinal Nerve Fiber Layer OCT: The Framingham Heart Study.

Louay Almidani, Jasdeep Sabharwal, Anoush Shahidzadeh, Ana Collazo Martinez, Shu Jie Ting, Brinda Vaidya, Xuejuan Jiang, Tim Kowalczyk, Alexa Beiser, Lucia Sobrin and 3 more

Abstract read
In one paragraph

Article in Ophthalmology science. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. AI-driven multimodal retinal imaging for early detection and risk stratification of vascular and neurodegenerative diseases.Graefe's archive for clinical and experimental ophthalmology = Albrecht von Graefes Archiv fur klinische und experimentelle Ophthalmologie · 2026
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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

13 authors.

Louay AlmidaniWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jasdeep SabharwalWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Anoush ShahidzadehDepartment of Ophthalmology, Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Ana Collazo MartinezWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Shu Jie TingDepartment of Neurology, The Framingham Heart Study, Framingham, Massachusetts.
Brinda VaidyaDepartment of Neurology, The Framingham Heart Study, Framingham, Massachusetts.
Xuejuan JiangDepartment of Ophthalmology, Roski Eye Institute, Keck School of Medicine of the University of Southern California, Los Angeles, California.
Tim KowalczykDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Alexa BeiserDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Lucia SobrinDepartment of Ophthalmology, Harvard Medical School, Massachusetts Eye and Ear Infirmary, Boston, Massachusetts.
Sudha SeshadriDepartment of Biostatistics, Boston University School of Public Health, Boston, Massachusetts.
Pradeep RamuluWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Amir H KashaniWilmer Eye Institute, Johns Hopkins University School of Medicine, Baltimore, Maryland.

Funding

FRAMINGHAM HEART STUDY - YEAR 5 EXAM75N92019D00031 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · 2019 to 2024
$29.8M
South Texas Alzheimer's Disease Research CenterP30AG066546 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI Sudha Seshadri · 2021 to 2026
$24.0M
Multidimensional Assessment of Brain Health as A Marker of Dementia Risk and ResilienceR01AG066524 · NIA · UNIVERSITY OF TEXAS HLTH SCIENCE CENTER · PI KASHANI, AMIR H, RAMACHANDRAN, VASAN S · 2020 to 2024
$9.7M
NHLBI NIH HHS 75N92019D00031NIA NIH HHS P30 AG066546NIA NIH HHS R01 AG066524
6 · The paper itself

Abstract

Objective: To explore participant-level biological attributes and scan-level methodological attributes associated with retinal nerve fiber layer (RNFL) thickness variability in a population-based sample of elderly United States adults. Design: Cross-sectional analysis using data from the Framingham Heart Study. Participants: One thousand three hundred forty-seven eyes from 825 participants with ≥1 OCT scan and axial length data were included. Methods: Three or more successive RNFL scans of each eye of each participant were obtained in a single session. Multivariable linear mixed models were employed to explore the associations between average RNFL thickness with participant-level biological attributes (age, gender, race, ethnicity, and axial length) and scan-level attributes (signal strength [SS]) as independent variables in the whole population as well as a subsample of adults with no self-reported history of glaucoma. Similar analyses were designed to assess methodological variability with average within-eye standard deviation (SD) for repeated scans as the dependent variable. Main Outcomes Measures: (1) Biological variability: average RNFL thickness, and (2) methodological variability: average within-participant SD across repeated scans. Results: Age (β = Conclusions: Retinal nerve fiber layer thickness is lower with older age, male gender, greater axial length, lower SS, and Whites (as compared with African Americans) without self-reported glaucoma. Measurement variability (SD) is higher with greater RNFL thickness and lower SS. Understanding these biological and methodological variations is important to aid in OCT interpretation. Financial Disclosures: Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Indexed as

Framingham heart studyGlaucomaOCTRetinal nerve fiber layerVariability

Identifiers

PMID39161752
PMCPMC11331915

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.