ReviewDiagnostics (Basel, Switzerland)2024
Phenotypes and Serum Biomarkers in Sarcoidosis.
Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
7 citing papers in PubMed, 8 citations in OpenAlex.
- Immunological biomarkers predict pulmonary and nodal, but not cardiac positron emission tomography-assessed sarcoidosis activity.ERJ open research · 2026Article
- Evidence for nephrolithiasis preceding sarcoidosis diagnosis: findings from a Swedish case-control study.Respiratory research · 2026Article
- From the Optic Neuritis Treatment Trial to Antibody-Mediated Optic Neuritis: Four Decades of Progress and Unanswered Questions.Biomedicines · 2026Review
- Serum metabolomics in pulmonary sarcoidosis: metabolic signatures across prognoses.BMC pulmonary medicine · 2025Article
- Microbiome Against the Background of the Complex Aetiology in Sarcoidosis-What Do We Already Know?Life (Basel, Switzerland) · 2025Review
- A review of sarcoidosis etiology, diagnosis and treatment.Frontiers in medicine · 2025Review
- Differential Diagnosis of Tuberculosis and Sarcoidosis by Immunological Features Using Machine Learning.Diagnostics (Basel, Switzerland) · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sarcoidosis is a multisystem disease, which is diagnosed on a compatible clinical presentation, non-necrotizing granulomatous inflammation in one or more tissue samples, and exclusion of alternative causes of granulomatous disease. Considering its heterogeneity, numerous aspects of the disease remain to be elucidated. In this context, the identification and integration of biomarkers may hold significance in clinical practice, aiding in appropriate selection of patients for targeted clinical trials. This work aims to discuss and analyze how validated biomarkers are currently integrated in disease category definitions. Future studies are mandatory to unravel the diverse contributions of genetics, socioeconomic status, environmental exposures, and other sociodemographic variables to disease severity and phenotypic presentation. Furthermore, the implementation of transcriptomics, multidisciplinary approaches, and consideration of patients' perspectives, reporting innovative insights, could be pivotal for a better understanding of disease pathogenesis and the optimization of clinical assistance.
Indexed as
Identifiers
What OpenQuestion holds
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.