ReviewDie Ophthalmologie2026
[Stargardt disease: genetics, molecular mechanisms, potential lifestyle interventions and pharmacotherapy].
Review in Die Ophthalmologie, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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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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0 citing papers in PubMed.
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Stargardt disease (STGD1) is the most common inherited macular dystrophy. It is caused by biallelic variants in the ABCA4 gene and leads to impaired retinoid transport within photoreceptors. Disruption of retinoid clearance results in the accumulation of lipofuscin in the retinal pigment epithelium (RPE), which in turn induces oxidative stress, complement activation and progressive degeneration of the RPE and photoreceptors. Despite substantial advances in the understanding of the underlying pathophysiological mechanisms, no approved causal therapy is currently available; however, several promising pharmacological approaches are under preclinical and clinical investigation, targeting different metabolic steps within and around the visual cycle. This review article summarizes the genetic and pathophysiological basis of Stargardt disease and provides an overview of potential lifestyle interventions and emerging pharmacological treatment strategies. These advances could soon translate into disease-modifying therapies, highlighting the importance of early diagnosis and patient referral to specialized centers.
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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.