Discover Community Create You

Loading publication...

Noodle always counts identifier-free feature events for service operation. With your permission, Google Analytics can also estimate audience and engagement. Search text, publication identifiers, cookies, IP addresses and browser fingerprints are never included in Noodle's first-party event counters.

Privacy details

Article

Decoding sarcoidosis chronicity through phenotypic profiling.

Therapeutic advances in respiratory disease - 1 Jan 2026

Tomos Ioannis, Vourli Georgia, Matthaiou Andreas M, Bizymi Nikoleta, Avarlis Pantelis, Bessa Vasiliki, Kosti Chrysavgi, Chrysikos Serafeim, Liapikou Adamantia

Abstract excerpt

BACKGROUND: Sarcoidosis is a heterogeneous granulomatous disease of unknown aetiology, characterised by a highly variable clinical behaviour. While some patients experience a self‑limited course, others develop chronic and relapsing disease. At present, no precise phenotyping strategy exists in clinical practice to reliably predict which patients will progress to chronicity. OBJECTIVES: The aim of this study was...

Read the complete abstract on PubMed

Topics

Share this publication in a Topic to start or enrich a Post.

Share to Aged
Share to Chronic Disease

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Share to Cluster Analysis

Share to Clustering Algorithms

Share to Disease Progression

Share to Prognosis

Share to Sarcoidosis

Share to Sarcoidosis, Pulmonary

Source

Open in PubMed Open full text

Identifiers

PMID: 42363565
DOI: 10.1177/17534666261462403
PMCID: PMC13309649

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026.

Related research

Semantic proximity does not establish scientific evidence.

Research trail→

Click a neighbor to travelStep 1 · 12 closest

Decoding sarcoidosis chronicity through phenotypic profiling.PMID 42363565Read ↗

Clinical phenotypes and prediction of chronicity in sarcoidosis using cluster analysis in a prospective cohort of 694 patients.Semantic proximity Read ↗

Clinical phenotyping in sarcoidosis using cluster analysis.Semantic proximity Read ↗

Clinical phenotypes of sarcoidosis using cluster analysis: a Spanish population-based cohort study.Semantic proximity Read ↗

Clinical Phenotyping In Sarcoidosis Using Cluster AnalysisSemantic proximity Read ↗

Unraveling genetic mysteries: phenotype-shaping profiles in chronic sarcoidosisSemantic proximity Read ↗

It's time to evolve from Scadding: phenotyping sarcoidosisSemantic proximity Read ↗

Phenotypes and Serum Biomarkers in SarcoidosisSemantic proximity Read ↗

Clinical phenotypes of extrapulmonary sarcoidosis: an analysis of a French, multi-ethnic, multicentre cohort.Semantic proximity Read ↗

Cluster analysis for clinical sarcoidosis' phenotyping.Semantic proximity Read ↗

Identification of Multidimensional Phenotypes Using Cluster Analysis in Sarcoid Uveitis Patients.Semantic proximity Read ↗

Plasma Proteomic Profiling Reveals Distinct Signatures of Chest CT Phenotypes in SarcoidosisSemantic proximity Read ↗

Severe Sarcoidosis Demonstrates Heterogenous Immune Dysregulation Across Different Peripheral Immune Cell Types: A Single-Center Single Cell Multi-omic AnalysisSemantic proximity Read ↗

⌁Select a neighboring publication to make it the new centre.