ReviewFrontiers in bioengineering and biotechnology2022
A Progress Report and Roadmap for Microphysiological Systems and Organ-On-A-Chip Technologies to Be More Predictive Models in Human (Knee) Osteoarthritis.
Review in Frontiers in bioengineering and biotechnology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 17 citations in OpenAlex.
- Arthritis models for studying chikungunya virus joint inflammation.Communications biology · 2026Review
- Experimental models of osteoarthritis: Advances, limitations and rational selection for translational research.Journal of orthopaedic translation · 2026Review
- From undruggable to degradable: A deep learning-enabled framework for precision orthopaedic protein degradation.Journal of orthopaedic translation · 2026Review
- Strategies to control cellular spatial organization in microphysiological systems.Microsystems & nanoengineering · 2026Review
- Organoids and organs-on-chips for accelerating R&D and clinical translation in Orthopaedics: Emerging opportunities and regulatory pathways.Journal of orthopaedic translation · 2026Review
- Intelligent microstructure materials for diagnosis and treatment of osteoarthritis: progress and AI-enpowered future.Bone research · 2025Review
- An Organ-on-Chip Platform for Strain-Controlled, Tissue-Specific Compression of Cartilage and Mineralized Osteochondral Interface to Study Mechanical Overloading in Osteoarthritis.Advanced healthcare materials · 2025Article
- An Animal-Free Patient-Derived Tissue-Mimetic Biochip Model of the Human Synovial Membrane for Human-Relevant Osteoarthritis Research.Advanced healthcare materials · 2025Article
- Emerging concepts and challenges in the development of disease-modifying osteoarthritis drugs - a more refined perspective.Archives of pharmacal research · 2025Review
- Revolutionizing renal research: The future of kidney-on-a-chip in biotechnology.Regenerative therapy · 2024Review
- A personalized osteoarthritic joint-on-a-chip as a screening platform for biological treatments.Materials today. Bio · 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
6 authors at 5 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Osteoarthritis (OA), a chronic debilitating joint disease affecting hundreds of million people globally, is associated with significant pain and socioeconomic costs. Current treatment modalities are palliative and unable to stop the progressive degeneration of articular cartilage in OA. Scientific attention has shifted from the historical view of OA as a wear-and-tear cartilage disorder to its recognition as a whole-joint disease, highlighting the contribution of other knee joint tissues in OA pathogenesis. Despite much progress in the field of microfluidic systems/organs-on-a-chip in other research fields, current
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.