ReviewAnnals of biomedical engineering2016
Predicting Knee Osteoarthritis.
Review in Annals of biomedical engineering, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 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
25 citing papers in PubMed, 73 citations in OpenAlex.
- Time-dependent computational model of post-traumatic osteoarthritis to estimate how mechanoinflammatory mechanisms impact cartilage aggrecan content.PLoS computational biology · 2025Article
- Implication of region-dependent material properties of articular cartilage in the contact mechanics of porcine knee joint.BMC musculoskeletal disorders · 2025Article
- Varus alignment of the hip and knee 2 years after anterior cruciate ligament injury is associated with medial tibiofemoral osteoarthritis 3 years later.Journal of experimental orthopaedics · 2025Article
- Article
- Study of adiponectin gene (rs1501299) polymorphism and serum adiponectin level in patients with primary knee osteoarthritis.Human genomics · 2024Article
- Prognostic model to predict the incidence of radiographic knee osteoarthritis.Annals of the rheumatic diseases · 2024Article
- A synoptic literature review of animal models for investigating the biomechanics of knee osteoarthritis.Frontiers in bioengineering and biotechnology · 2024Review
- Towards a Transferable Modeling Method of the Knee to Distinguish Between Future Healthy Joints from Osteoarthritic Joints: Data from the Osteoarthritis Initiative.Annals of biomedical engineering · 2023Article
- What Influences Proprioceptive Impairments in Patients with Rheumatic Diseases? Analysis of Different Factors.International journal of environmental research and public health · 2023Article
- Do Individualized Patient-Specific Situations Predict the Progression Rate and Fate of Knee Osteoarthritis? Prediction of Knee Osteoarthritis.Journal of clinical medicine · 2023Article
- Computational Modelling for Managing Pathways to Cartilage Failure.Advances in experimental medicine and biology · 2023Article
- Development of a personalized shared decision-making tool for knee osteoarthritis and user-testing with African American and Latina women.Journal of family medicine and primary care · 2022Article
- Subject-specific biomechanical analysis to estimate locations susceptible to osteoarthritis-Finite element modeling and MRI follow-up of ACL reconstructed patients.Journal of orthopaedic research : official publication of the Orthopaedic Research Society · 2022Article
- Consequences of Progressive Full-Thickness Focal Chondral Defects Involving the Medial and Lateral Femoral Condyles After Meniscectomy: A Biomechanical Study Using a Goat Model.Orthopaedic journal of sports medicine · 2022Article
- Risk Assessment of the Progression of Early Knee Osteoarthritis by Collagen Neoepitope C2C: A Longitudinal Study of an Estonian Middle-Aged Cohort.Diagnostics (Basel, Switzerland) · 2021Article
- AnFrontiers in bioengineering and biotechnology · 2021Article
- Article
- Acacetin Suppresses IL-1BioMed research international · 2020Article
- Establishing outcome measures in early knee osteoarthritis.Nature reviews. Rheumatology · 2019Review
- Clinical characteristics and disability in patients with knee osteoarthritis: real world experience from Bulgaria.Reumatologia · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors at 6 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Treatment options for osteoarthritis (OA) beyond pain relief or total knee replacement are very limited. Because of this, attention has shifted to identifying which factors increase the risk of OA in vulnerable populations in order to be able to give recommendations to delay disease onset or to slow disease progression. The gold standard is then to use principles of risk management, first to provide subject-specific estimates of risk and then to find ways of reducing that risk. Population studies of OA risk based on statistical associations do not provide such individually tailored information. Here we argue that mechanistic models of cartilage tissue maintenance and damage coupled to statistical models incorporating model uncertainty, united within the framework of structural reliability analysis, provide an avenue for bridging the disciplines of epidemiology, cell biology, genetics and biomechanics. Such models promise subject-specific OA risk assessment and personalized strategies for mitigating or even avoiding OA. We illustrate the proposed approach with a simple model of cartilage extracellular matrix synthesis and loss regulated by daily physical activity.
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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.