ArticleFrontiers in medicine2025
Phenotyping sarcoidosis: a single institution retrospective analysis.
Article in Frontiers in medicine, 2025. 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.
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Authors and funding
10 authors.
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Abstract
Introduction: Sarcoidosis is a systemic disorder marked by the presence of non-caseating epithelioid cell granulomas. The diagnosis relies on a consistent clinical presentation, histological evidence of non-necrotizing granulomatous inflammation in one or more tissue specimens, and the exclusion of other potential etiologies of granulomatous disease. It is a heterogeneous disease with many focal points to be clarified. For instance, finding a relationship between symptom burden, race, gender, HRQoL, and pulmonary function could have therapeutic ramifications, influence clinical practice, and aid in selecting patients for specific clinical studies. Methods: A comprehensive statistical evaluation was conducted using the JMP partitioning algorithm which explores all potential divisions to identify the most predictive variables. Results: With our analysis, we tried to categorize patients from a single Institution respiratory unit to delineate clinical phenotypes in sarcoidosis. Conclusions: Larger studies using appropriate methodology should surely be carried out to address this issue and help clarify the varying contributions of genetics, socioeconomic status, environmental exposures, and other sociodemographic factors to illness severity and phenotypic presentation. Additionally, the application of transcriptomics, interdisciplinary methods, patients' disease perspectives, and the publishing of novel discoveries may contribute to enhanced clinical support and a deeper comprehension of the etiology of illness.
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