Evidence map›Paper›PMID 36526863›Full record

SynthesisEye (London, England)2023

Optical coherence tomography imaging biomarkers associated with neovascular age-related macular degeneration: a systematic review.

Rachel L W Hanson, Archana Airody, Sobha Sivaprasad, Richard P Gale

Open access · hybridAbstract readSystematic Review
In one paragraph

Synthesis in Eye (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed, 1 pooled it
6.9field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 1 synthesis or guideline pooled it, 51 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

4 authors at 2 institutions in 1 country.

Rachel L W HansonAcademic Unit of Ophthalmology, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, UK.ORCID 0000-0002-2569-9810
Archana AirodyAcademic Unit of Ophthalmology, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, UK.
Sobha SivaprasadMoorfields National Institute of Health Research, Biomedical Research Centre, London, UK.
Richard P GaleAcademic Unit of Ophthalmology, York and Scarborough Teaching Hospitals NHS Foundation Trust, York, UK. richard.gale@york.ac.uk.
York Teaching Hospital NHS Foundation Trust · GBNIHR Moorfields Biomedical Research Centre · GB

Funding

Novartis | Novartis Pharmaceuticals UK Limited (Novartis UK) OAP030A2401T
6 · The paper itself

Abstract

The aim of this systematic literature review is twofold, (1) detail the impact of retinal biomarkers identifiable via optical coherence tomography (OCT) on disease progression and response to treatment in neovascular age-related macular degeneration (nAMD) and (2) establish which biomarkers are currently identifiable by artificial intelligence (AI) models and the utilisation of this technology. Following the PRISMA guidelines, PubMed was searched for peer-reviewed publications dated between January 2016 and January 2022. POPULATION: Patients diagnosed with nAMD with OCT imaging. SETTINGS: Comparable settings to NHS hospitals. STUDY DESIGNS: Randomised controlled trials, prospective/retrospective cohort studies and review articles. From 228 articles, 130 were full-text reviewed, 50 were removed for falling outside the scope of this review with 10 added from the author's inventory, resulting in the inclusion of 90 articles. From 9 biomarkers identified; intraretinal fluid (IRF), subretinal fluid, pigment epithelial detachment, subretinal hyperreflective material (SHRM), retinal pigmental epithelial (RPE) atrophy, drusen, outer retinal tabulation (ORT), hyperreflective foci (HF) and retinal thickness, 5 are considered pertinent to nAMD disease progression; IRF, SHRM, drusen, ORT and HF. A number of these biomarkers can be classified using current AI models. Significant retinal biomarkers pertinent to disease activity and progression in nAMD are identifiable via OCT; IRF being the most important in terms of the significant impact on visual outcome. Incorporating AI into ophthalmology practice is a promising advancement towards automated and reproducible analyses of OCT data with the ability to diagnose disease and predict future disease conversion. SYSTEMATIC REVIEW REGISTRATION: This review has been registered with PROSPERO (registration ID: CRD42021233200).

Indexed as

Macular DegenerationWet Macular DegenerationAngiogenesis InhibitorsArtificial IntelligenceBiomarkersDisease ProgressionFluorescein AngiographyHumansProspective StudiesRetrospective StudiesTomography, Optical CoherenceAngiogenesis InhibitorsBiomarkers

Identifiers

PMID36526863
PMCPMC9871156
OpenAlexW4311821154

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.