ArticleJournal of clinical medicine2019
Efficacy of Integrating a Novel 16-Gene Biomarker Panel and Intelligence Classifiers for Differential Diagnosis of Rheumatoid Arthritis and Osteoarthritis.
Article in Journal of clinical medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.
What it found
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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
29 citing papers in PubMed, 43 citations in OpenAlex.
- Comprehensive regulatory network construction highlights lncRNA-miRNA-mRNA-TF interactions and key molecular drivers in rheumatoid arthritis.Mammalian genome : official journal of the International Mammalian Genome Society · 2026Article
- Exploring a plasma proteomic biosignature associated with cardiac involvement in Fabry disease.Journal of molecular medicine (Berlin, Germany) · 2026Article
- Current application, possibilities, and challenges of artificial intelligence in the management of rheumatoid arthritis, axial spondyloarthritis, and psoriatic arthritis.Therapeutic advances in musculoskeletal disease · 2025Review
- BACH1 as a key driver in rheumatoid arthritis fibroblast-like synoviocytes identified through gene network analysis.Life science alliance · 2025Article
- Decoding Fibroblast Heterogeneity in Osteoarthritis: Identification of a Fibrosis-Associated Subtype and Novel Diagnostic Biomarkers.Mediators of inflammation · 2025Article
- Comprehensive multi-omics profiling identifies novel molecular subtypes of pancreatic ductal adenocarcinoma.Genes & diseases · 2024Review
- Gene Network Analyses Identify Co-regulated Transcription Factors and BACH1 as a Key Driver in Rheumatoid Arthritis Fibroblast-like Synoviocytes.bioRxiv : the preprint server for biology · 2024Article
- Identification and verification of PTPN3 as a novel biomarker in predicting cancer prognosis, immunity, and immunotherapeutic efficacy.European journal of medical research · 2024Article
- Cell-specific gene networks and drivers in rheumatoid arthritis synovial tissues.Frontiers in immunology · 2024Article
- Oxidative DNA Damage and Zinc Status in Patients With Rheumatoid Arthritis in Duhok, Iraq.Cureus · 2024Article
- Review
- Identification of the candidate genes of diagnosing rheumatoid arthritis using the single-cell sequencing technology and T cell subclusters analysis of patients with rheumatoid arthritis.Archives of rheumatology · 2023Article
- Artificial intelligence in rheumatoid arthritis: potential applications and future implications.Frontiers in medicine · 2023Review
- Role of the granzyme family in rheumatoid arthritis: Current Insights and future perspectives.Frontiers in immunology · 2023Review
- Artificial Intelligence in Rheumatoid Arthritis: Current Status and Future Perspectives: A State-of-the-Art Review.Rheumatology and therapy · 2022Review
- Functional characterization of FBXL7 as a novel player in human cancers.Cell death discovery · 2022Review
- Clinical Applications of Artificial Intelligence-An Updated Overview.Journal of clinical medicine · 2022Review
- Explainable machine learning for knee osteoarthritis diagnosis based on a novel fuzzy feature selection methodology.Physical and engineering sciences in medicine · 2022Article
- Construction of genetic classification model for coronary atherosclerosis heart disease using three machine learning methods.BMC cardiovascular disorders · 2022Article
- Identification of biomarkers associated with CD8+ T cells in rheumatoid arthritis and their pan-cancer analysis.Frontiers in immunology · 2022Article
Corrections and comments
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Authors and funding
11 authors at 2 institutions in 2 countries.
Funding
Abstract
Introducing novel biomarkers for accurately detecting and differentiating rheumatoid arthritis (RA) and osteoarthritis (OA) using clinical samples is essential. In the current study, we searched for a novel data-driven gene signature of synovial tissues to differentiate RA from OA patients. Fifty-three RA, 41 OA, and 25 normal microarray-based transcriptome samples were utilized. The area under the curve random forests (RF) variable importance measurement was applied to seek the most influential differential genes between RA and OA. Five algorithms including RF, k-nearest neighbors (kNN), support vector machines (SVM), naïve-Bayes, and a tree-based method were employed for the classification. We found a 16-gene signature that could effectively differentiate RA from OA, including
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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.