Evidence map›Paper›PMID 38630354›Full record

ReviewOphthalmology and therapy2024

Oculomics: A Crusade Against the Four Horsemen of Chronic Disease.

Emily J Patterson, Alistair D Bounds, Siegfried K Wagner, Richard Kadri-Langford, Robin Taylor, Dan Daly

Open access · goldAbstract readReview
In one paragraph

Review in Ophthalmology and therapy, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
11.3field-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

18 citing papers in PubMed, 21 citations in OpenAlex.

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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

6 authors at 2 institutions in 1 country.

Emily J PattersonOccuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK. Emily.Patterson@Occuity.com.ORCID http://orcid.org/0000-0002-5122-3568
Alistair D BoundsOccuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK.ORCID http://orcid.org/0000-0002-5067-8691
Siegfried K WagnerMoorfields Eye Hospital NHS Trust, 162 City Road, London, EC1V 2PD, UK.ORCID http://orcid.org/0000-0003-4915-4353
Richard Kadri-LangfordOccuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK.
Robin TaylorOccuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK.
Dan DalyOccuity, The Blade, Abbey Square, Reading, Berkshire, RG1 3BE, UK.ORCID http://orcid.org/0000-0001-5743-3964
Johnson Matthey (United Kingdom) · GBMoorfields Eye Hospital NHS Foundation Trust · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic, non-communicable diseases present a major barrier to living a long and healthy life. In many cases, early diagnosis can facilitate prevention, monitoring, and treatment efforts, improving patient outcomes. There is therefore a critical need to make screening techniques as accessible, unintimidating, and cost-effective as possible. The association between ocular biomarkers and systemic health and disease (oculomics) presents an attractive opportunity for detection of systemic diseases, as ophthalmic techniques are often relatively low-cost, fast, and non-invasive. In this review, we highlight the key associations between structural biomarkers in the eye and the four globally leading causes of morbidity and mortality: cardiovascular disease, cancer, neurodegenerative disease, and metabolic disease. We observe that neurodegenerative disease is a particularly promising target for oculomics, with biomarkers detected in multiple ocular structures. Cardiovascular disease biomarkers are present in the choroid, retinal vasculature, and retinal nerve fiber layer, and metabolic disease biomarkers are present in the eyelid, tear fluid, lens, and retinal vasculature. In contrast, only the tear fluid emerged as a promising ocular target for the detection of cancer. The retina is a rich source of oculomics data, the analysis of which has been enhanced by artificial intelligence-based tools. Although not all biomarkers are disease-specific, limiting their current diagnostic utility, future oculomics research will likely benefit from combining data from various structures to improve specificity, as well as active design, development, and optimization of instruments that target specific disease signatures, thus facilitating differential diagnoses.

Indexed as

BiomarkersCancerCardiovascularChronicDiseaseImagingMetabolicNeurodegenerativeNon-communicableOcularOculomicsOphthalmicSystemic

Identifiers

PMID38630354
PMCPMC11109082
OpenAlexW4394873915

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.