Evidence map›Paper›PMID 30114417›Full record

SynthesisOphthalmology2019

Spectral-Domain OCT Measurements in Alzheimer's Disease: A Systematic Review and Meta-analysis.

Victor T T Chan, Zihan Sun, Shumin Tang, Li Jia Chen, Adrian Wong, Clement C Tham, Tien Y Wong, Christopher Chen, M Kamran Ikram, Heather E Whitson and 3 more

Abstract readMeta-AnalysisSystematic Review
In one paragraph

Synthesis in Ophthalmology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 212 papers, 20 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
212citing papers in PubMed, 20 pooled it
21.5field-weighted citation impact, top 1% 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

212 citing papers in PubMed, 20 syntheses or guidelines pooled it, 342 citations in OpenAlex.

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152 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 5 institutions in 4 countries.

Victor T T ChanDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China; Department of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Zihan SunDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Shumin TangDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Li Jia ChenDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Adrian WongDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China.
Clement C ThamDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China.
Tien Y WongSingapore Eye Research Institute, Singapore National Eye Centre, Singapore, Republic of Singapore; Duke-NUS Medical School, National University of Singapore, Singapore, Republic of Singapore.
Christopher ChenMemory Aging and Cognition Centre, National University Health System, Singapore, Republic of Singapore; Department of Pharmacology, National University of Singapore, Singapore, Republic of Singapore.
M Kamran IkramDepartments of Neurology and Epidemiology, Erasmus Medical Center, Rotterdam, The Netherlands.
Heather E WhitsonDuke University Medical Center, Durham, North Carolina; Geriatrics Research Education and Clinical Center (GRECC), Durham VA Medical Center, Durham, North Carolina.
Eleonora M LadDuke University Medical Center, Durham, North Carolina.
Vincent C T MokDepartment of Medicine and Therapeutics, The Chinese University of Hong Kong, Hong Kong, China; Therese Pei Fong Chow Research Centre for Prevention of Dementia, The Chinese University of Hong Kong, Hong Kong, China.
Carol Y CheungDepartment of Ophthalmology and Visual Sciences, The Chinese University of Hong Kong, Hong Kong, China. Electronic address: carolcheung@cuhk.edu.hk.
Chinese University of Hong Kong · HKNational University of Singapore · SGDuke Medical Center · USErasmus MC · NLGeriatric Research Education and Clinical Center · US

Funding

Resource Core 3 - Metabolomics CoreP30AG028716 · NIA · DUKE UNIVERSITY · PI Sarah B. Peskoe · 2006 to 2026
$24.6M
Cognitive Changes and Brain Connectivity in Age-Related Macular DegenerationR01AG043438 · NIA · DUKE UNIVERSITY · PI WHITSON, HEATHER E. · 2013 to 2017
$2.1M
Physical Resiliencies: Indicators and Mechanisms in the Elderly CollaborativeUH2AG056925 · NIA · DUKE UNIVERSITY · PI COLON-EMERIC, CATHLEEN S, WHITSON, HEATHER E. · 2017 to 2018
$2.0M
Geriatrics Research: From Bench to BedsideU13AG054139 · NIA · AMERICAN GERIATRICS SOCIETY · PI WHITSON, HEATHER E. · 2016 to 2020
$201k
NIA NIH HHS P30 AG028716NIA NIH HHS R01 AG043438NIA NIH HHS U13 AG054139NIA NIH HHS UH2 AG056925
6 · The paper itself

Abstract

topicOCT is a noninvasive tool to measure specific retinal layers in the eye. The relationship of retinal spectral-domain (SD) OCT measurements with Alzheimer's disease (AD) and mild cognitive impairment (MCI) remains unclear. Hence, we conducted a systematic review and meta-analysis to examine the SD OCT measurements in AD and MCI. CLINICAL RELEVANCE: Current methods of diagnosing early AD are expensive and invasive. Retinal measurements of SD OCT, which are noninvasive, technically simple, and inexpensive, are potential biomarkers of AD.

methodsWe conducted a literature search in PubMed and Excerpta Medica Database to identify studies published before December 31, 2017, that assessed the associations between AD, MCI, and measurements of SD OCT: ganglion cell-inner plexiform layer (GC-IPL), ganglion cell complex (GCC), macular volume, and choroidal thickness, in addition to retinal nerve fiber layer (RNFL) and macular thickness. We used a random-effects model to examine these relationships. We also conducted meta-regression and assessed heterogeneity, publication bias, and study quality.

resultsWe identified 30 eligible studies, involving 1257 AD patients, 305 MCI patients, and 1460 controls, all of which were cross-sectional studies. In terms of the macular structure, AD patients showed significant differences in GC-IPL thickness (standardized mean difference [SMD], -0.46; 95% confidence interval [CI], -0.80 to -0.11; I

conclusionsOur results confirmed the associations between retinal measurements of SD OCT and AD, highlighting the potential usefulness of SD OCT measurements as biomarkers of AD.

Indexed as

Alzheimer DiseaseBiomarkersCognitive DysfunctionCross-Sectional StudiesHumansNerve FibersOrgan SizeRetinaRetinal DiseasesRetinal Ganglion CellsTomography, Optical CoherenceBiomarkers

Identifiers

PMID30114417
PMCPMC6424641
OpenAlexW2886040290

What OpenQuestion holds

Textmetadata
LicenceTDM
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.