ReviewRegenerative biomaterials2024
Application of magnetism in tissue regeneration: recent progress and future prospects.
Review in Regenerative biomaterials, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Magnetically responsive electrospun fibers as programmable bioactive scaffolds: From formulation design to magnetically triggered therapy and regeneration.Bioactive materials · 2027Review
- Smart-responsive electrospun scaffolds (SRES) for neural repair: Recent advances and future prospects.Bioactive materials · 2026Review
- Smart biophysical cue-based strategies and materials for intervertebral disc degeneration therapy.Bioactive materials · 2026Review
- Highly bio-adapted hydrogels for tendon-bone interface regeneration: Natural healing inspiration, design strategies, and biomedical potential.Bioactive materials · 2026Review
- Magnetic-topological multistage synergy: Anisotropic ovalbumin scaffolds loaded with magnetically-responsive neural cells for long-distance peripheral nerve regeneration.Bioactive materials · 2026Article
- Advanced materials and devices strategies of mechanical stimulation for tissue regeneration.Regenerative biomaterials · 2026Review
- Injectable bioactive scaffold able to stimulate oral bone regeneration on demand.Journal of materials science. Materials in medicine · 2025Article
- Biomaterials for neuroengineering: applications and challenges.Regenerative biomaterials · 2025Review
- Diacerein-loaded surface modified iron oxide microparticles (SMIOMPs): an emerging magnetic system for management of osteoarthritis via intra-articular injection.Frontiers in bioengineering and biotechnology · 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
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Tissue regeneration is a hot topic in the field of biomedical research in this century. Material composition, surface topology, light, ultrasonic, electric field and magnetic fields (MFs) all have important effects on the regeneration process. Among them, MFs can provide nearly non-invasive signal transmission within biological tissues, and magnetic materials can convert MFs into a series of signals related to biological processes, such as mechanical force, magnetic heat, drug release, etc. By adjusting the MFs and magnetic materials, desired cellular or molecular-level responses can be achieved to promote better tissue regeneration. This review summarizes the definition, classification and latest progress of MFs and magnetic materials in tissue engineering. It also explores the differences and potential applications of MFs in different tissue cells, aiming to connect the applications of magnetism in various subfields of tissue engineering and provide new insights for the use of magnetism in tissue regeneration.
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.