Evidence map›Paper›PMID 33163610›Full record

ArticleAlzheimer's & dementia (Amsterdam, Netherlands)2020

A recommended "minimum data set" framework for SD-OCT retinal image acquisition and analysis from the Atlas of Retinal Imaging in Alzheimer's Study (ARIAS).

Jessica Alber, Edmund Arthur, Stuart Sinoff, Delia Cabrera DeBuc, Emily Y Chew, Lori Douquette, Wendy V Hatch, Chris Hudson, Amir Kashani, Cecelia S Lee and 6 more

Open access · goldAbstract read
In one paragraph

Article in Alzheimer's & dementia (Amsterdam, Netherlands), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Observational
  5. Quantifying Putative Retinal Gliosis in Preclinical Alzheimer's Disease.Investigative ophthalmology & visual science · 2024
    Article
  6. Article
  7. Article
  8. Article
  9. Retinotopic degeneration of the retina and optic tracts in autosomal dominant Alzheimer's disease.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2023
    Article
  10. Article
  11. Article
  12. 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

16 authors at 15 institutions in 3 countries.

Jessica AlberDepartment of Biomedical and Pharmaceutical Sciences University of Rhode Island Kingston Rhode Island USA.
Edmund ArthurDepartment of Biomedical and Pharmaceutical Sciences University of Rhode Island Kingston Rhode Island USA.
Stuart SinoffBayCare Health Clearwater Florida USA.
Delia Cabrera DeBucBascom Palmer Eye Institute Department of Ophthalmology University of Miami Miami Florida USA.
Emily Y ChewDivision of Epidemiology and Clinical Applications National Eye Institute, National Institutes of Health Bethesda Maryland USA.
Lori DouquetteDouquette Family Eye Care, Inc. North Smithfield Rhode Island USA.
Wendy V HatchDepartment of Ophthalmology University of Toronto Toronto Ontario Canada.
Chris HudsonDepartment of Ophthalmology University of Toronto Toronto Ontario Canada.
Amir KashaniUSC Roski Eye Institute and USC Ginsburg Institute for Biomedical Therapeutics Keck School of Medicine of USC Los Angeles California USA.
Cecelia S LeeDepartment of Ophthalmology University of Washington Seattle Washington USA.
Stephen MontaquilaWest Bay Eye Associates Warwick Rhode Island USA.
Sima MozdbarNorth Texas Eye Research Institute Department of Pharmacology & Neuroscience University of North Texas Health Science Center Fort Worth Texas USA.
Leonardo Provetti CunhaDepartment of Ophthalmology Federal University of Juiz de Fora Medical School, Juiz de Fora Minas Gerais Brazil.
Faryan TayyariKensington Eye Institute Toronto Ontario Canada.
Gregory Van StavernDepartment of Ophthalmology and Visual Sciences Washington University in St. Louis School of Medicine St. Louis Missouri USA.
Peter J SnyderDepartment of Biomedical and Pharmaceutical Sciences University of Rhode Island Kingston Rhode Island USA.
University of Rhode Island · USBayCare Health System · USBryant University · USButler Hospital · USEye Care Associates · USKeck Hospital of USC · USKensington Health · CANational Eye Institute · USUniversidade Federal de Juiz de Fora · BRUniversity of Miami · USUniversity of North Texas · USUniversity of Toronto · CAUniversity of Washington · USUniversity of Waterloo · CAWashington University in St. Louis · US

Funding

Aging eyes and aging brains in studying alzheimer's disease: Modern ophthalmic data collection in the adult changes in thought (ACT) studyR01AG060942 · NIA · WASHINGTON UNIVERSITY · PI Cecilia Sungmin Lee · 2019 to 2026
$39.4M
NIA NIH HHS R01 AG060942
6 · The paper itself

Abstract

introductionWe propose a minimum data set framework for the acquisition and analysis of retinal images for the development of retinal Alzheimer's disease (AD) biomarkers. Our goal is to describe methodology that will increase concordance across laboratories, so that the broader research community is able to cross-validate findings in parallel, accumulate large databases with normative data across the cognitive aging spectrum, and progress the application of this technology from the discovery stage to the validation stage in the search for sensitive and specific retinal biomarkers in AD.

methodsThe proposed minimum data set framework is based on the Atlas of Retinal Imaging Study (ARIAS), an ongoing, longitudinal, multi-site observational cohort study. However, the ARIAS protocol has been edited and refined with the expertise of all co-authors, representing 16 institutions, and research groups from three countries, as a first step to address a pressing need identified by experts in neuroscience, neurology, optometry, and ophthalmology at the Retinal Imaging in Alzheimer's Disease (RIAD) conference, convened by the Alzheimer's Association and held in Washington, DC, in May 2019.

resultsOur framework delineates specific imaging protocols and methods of analysis for imaging structural changes in retinal neuronal layers, with optional add-on procedures of fundus autofluorescence to examine beta-amyloid accumulation and optical coherence tomography angiography to examine AD-related changes in the retinal vasculature. DISCUSSION: This minimum data set represents a first step toward the standardization of retinal imaging data acquisition and analysis in cognitive aging and AD. A standardized approach is essential to move from discovery to validation, and to examine which retinal AD biomarkers may be more sensitive and specific for the different stages of the disease severity spectrum. This approach has worked for other biomarkers in the AD field, such as magnetic resonance imaging; amyloid positron emission tomography; and, more recently, blood proteomics. Potential context of use for retinal AD biomarkers is discussed.

Identifiers

PMID33163610
PMCPMC7604454
OpenAlexW3096430220

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

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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.