ArticleClinical genetics2026
A Retrospective Cross-Sectional Study of 142 Patients in a Multidisciplinary Tuberous Sclerosis Clinic.
Article in Clinical genetics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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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.
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Who cites it
1 citing paper in PubMed.
- A Retrospective Cross-Sectional Study of 142 Patients in a Multidisciplinary Tuberous Sclerosis Clinic.Clinical genetics · 2026Article
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Authors and funding
7 authors.
Funding
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Abstract
We conducted a retrospective chart review of 142 patients with tuberous sclerosis complex (TSC) seen in a multidisciplinary clinic between 2008 and 2023 to describe patients' clinical and genetic characteristics, disease severity, therapy, and genetic variations. The most common manifestations of TSC were neurological, dermatological, and renal involvements. Among 100 patients who underwent genetic testing, 26% and 62% were positive for TSC1 and TSC2 variants, respectively, and 12% had no pathogenic variant identified. Specific disease-causing variants in the TSC gene were characterized in 62.0% of patients. As shown in previous studies, patients in our cohort carrying TSC2 variants tended to have more severe and earlier onset symptoms, including higher rates of skin and renal involvement, infantile spasms, and TSC-associated neuropsychiatric disorders. We also identified two distinct clinical subgroups: one characterized by predominant renal involvement and the other by more pronounced neurological manifestations. These groups seem to follow different disease courses, suggesting potential for more personalized monitoring and treatment approaches. Our study revealed key differences between TSC patients with TSC1 and TSC2 variants, but the retrospective analysis warrants further research to identify early indicators predicting TSC disease course.
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