ReviewF1000Research2019
Recent advances in understanding the phenotypes of osteoarthritis.
Review in F1000Research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 109 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
109 citing papers in PubMed, 207 citations in OpenAlex.
- Responders vs. non-responders to mesenchymal stromal cells in knee osteoarthritis: Mechanistic correlates of donor cell and patient features.Stem cell reports · 2026Trial
- Perioperative assessment of muscle inflammation susceptibility in patients with end-stage osteoarthritis.Journal of applied physiology (Bethesda, Md. : 1985) · 2022Trial
- Multi‑omics integration in osteoarthritis: Unraveling cell‑type‑specific gene‑metabolite networks for precision medicine (Review).International journal of molecular medicine · 2026Review
- Recent advances in understanding molecular and clinical heterogeneity in osteoarthritis: one disease or several?Osteoarthritis imaging · 2026Article
- Mechanistic Pathways Linking Type 2 Diabetes Mellitus, Hypertension, and Osteoarthritis to Falls in Older Adults: A Scoping Review.Healthcare (Basel, Switzerland) · 2026Review
- Advances in heterogeneity and classification of osteoarthritis.Bone research · 2026Review
- Large-scale molecular endotype discovery in synovial fluid reveals osteoarthritis as a single biological continuum.Nature communications · 2026Article
- Osteoarthritis phenotypes: advancing precision medicine through clinical, structural, and molecular stratification.International orthopaedics · 2026Review
- Methodological considerations on "Serum TSP-1 is a useful biomarker in severity assessment and the diagnosis of osteoarthritis".Journal of translational medicine · 2026Article
- Disruption of the microenvironmental ecosystem in subchondral bone marrow lesions: Roles in osteoarthritis pathophysiology, pain and progression.Osteoarthritis imaging · 2026Article
- Serum levels of MMP3 could be used as a potential biomarker for sports-induced knee osteoarthritis.Journal of medical biochemistry · 2026Article
- Phenotypic Differences in Inflammatory, Metabolic, and Biochemical Biomarkers in Dogs with Osteoarthritis According to Body Condition and Sex.Animals : an open access journal from MDPI · 2026Article
- Molecular-biomechanical phenotyping of ankle osteoarthritis: from synovial biomarkers to weight-bearing digital signatures.Frontiers in medicine · 2026Review
- Targeting synovial inflammation in knee osteoarthritis: translational insights for diagnosis and therapy.Journal of orthopaedic translation · 2026Review
- Next-generation osteoarthritis models: integrating biological, computational, and engineering approaches.Stem cell research & therapy · 2025Review
- Microphysiological Systems for Comorbidity Studies: Chronic Kidney Disease and Osteoarthritis.Advanced healthcare materials · 2025Review
- Inflaming and Immune-Resolving: The Ambivalent Role of Eosinophils in Osteoarthritis.International journal of molecular sciences · 2025Review
- Novel approaches to the stratified management of knee osteoarthritis.Nature reviews. Rheumatology · 2025Review
- Limited effects of non-steroidal anti-inflammatory drugs (NSAIDs) on imaging outcomes in osteoarthritis: observational data from the osteoarthritis initiative (OAI).BMC musculoskeletal disorders · 2025Observational
- Time-dependent computational model of post-traumatic osteoarthritis to estimate how mechanoinflammatory mechanisms impact cartilage aggrecan content.PLoS computational biology · 2025Article
49 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 4 institutions in 5 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Recent research in the field of osteoarthritis (OA) has focused on understanding the underlying molecular and clinical phenotypes of the disease. This narrative review article focuses on recent advances in our understanding of the phenotypes of OA and proposes that the disease represents a diversity of clinical phenotypes that are underpinned by a number of molecular mechanisms, which may be shared by several phenotypes and targeted more specifically for therapeutic purposes. The clinical phenotypes of OA supposedly have different underlying etiologies and pathogenic pathways and they progress at different rates. Large OA population cohorts consist of a majority of patients whose disease progresses slowly and a minority of individuals whose disease may progress faster. The ability to identify the people with relatively rapidly progressing OA can transform clinical trials and enhance their efficiency. The identification, characterization, and classification of molecular phenotypes of rapidly progressing OA, which represent patients who may benefit most from intervention, could potentially serve as the basis for precision medicine for this disabling condition. Imaging and biochemical markers (biomarkers) are important diagnostic and research tools that can assist with this challenge.
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.