SynthesisFrontiers in endocrinology2025
Recent advances and applications of optical coherence tomography angiography in diabetic retinopathy.
Synthesis in Frontiers in endocrinology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
What it found
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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.
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.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The eye-mind connection: a systematic review of retinal biomarkers and ocular signatures in major psychiatric disorders.European journal of medical research · 2025Pooled it
- Noninterchangeability of Vessel Density Measurements Across Next-Generation SS-OCTA Systems.Translational vision science & technology · 2026Article
- Serum Serine as a Metabolic Marker of Optic Neuropathy in Patients with Type 2 Diabetes Mellitus After Vitreoretinal Surgeries.Metabolites · 2026Article
- Diabetes May Modulate the Association Between Age and Optical Coherence Tomography Angiography Parameters: A Serial, Cross-Sectional Study.Journal of personalized medicine · 2026Article
- Association of Remnant Cholesterol With the Retinal Capillary Plexus.Translational vision science & technology · 2026Article
- Annotation-free 3D reconstruction and quantification of retinal microvasculature by RADAR.NPJ digital medicine · 2026Article
- Modulation of aqueous humor cytokine profile by faricimab in patients with diabetic macular edema.Frontiers in medicine · 2026Article
- Diabetic retinal neurovascular unit injury: mechanisms, imaging evaluation, and integrated therapeutic strategies.Frontiers in medicine · 2026Review
- Albuminuria, but not eGFR, tracks diabetic retinopathy severity and retinal ischemia: population-based discovery, clinical replication, and OCTA evidence.Frontiers in endocrinology · 2026Article
- Aqueous humor levels of syndecan-1 and syndecan-4 associated with OCTA metrics in diabetic retinopathy.Frontiers in medicine · 2025Article
- Review
- Advances and challenges from pathological mechanisms to intelligent quantified diagnosis in diabetic optic neuropathy.Digital healthReview
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Introduction: Optical coherence tomography angiography (OCTA), a noninvasive imaging technique, is increasingly used in managing ophthalmic diseases like diabetic retinopathy (DR). This review examines OCTA's imaging principles, its utility in detecting DR lesions, and its diagnostic advantages over fundus fluorescein angiography (FFA). Methods: We systematically analyzed 75 articles (2015-2024) from the Web of Science Core Collection, focusing on OCTA's technical principles, clinical applications in DR diagnosis, and its use in diabetes mellitus (DM) without DR and prediabetes. The use of artificial intelligence (AI) in OCTA image analysis for DR severity evaluation was investigated. Results: OCTA effectively identifies DR lesions and detects early vascular abnormalities in DM and prediabetes, surpassing FFA in noninvasiveness and resolution. AI integration enhances OCTA's capability to diagnose, evaluate, and predict DR progression. Discussion: OCTA offers significant clinical value in early DR detection and monitoring. Its synergy with AI holds promise for refining diagnostic precision and expanding predictive applications, positioning OCTA as a transformative tool in future ophthalmic practice.
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Registered trials
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.