ReviewJournal of neurotrauma2010
Biomaterial design strategies for the treatment of spinal cord injuries.
Review in Journal of neurotrauma, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 104 papers, 1 of them a synthesis that pooled it.
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
104 citing papers in PubMed, 1 synthesis or guideline pooled it, 353 citations in OpenAlex.
- Biomaterial-based interventions for neuronal regeneration and functional recovery in rodent model of spinal cord injury: a systematic review.The journal of spinal cord medicine · 2013Pooled it
- Muscle-Conformal Injectable Eutectogel Platform With Activated Adhesion for Therapeutic Epidermal Bioelectronics.Advanced healthcare materials · 2026Article
- Iron-Chelated Silk Microfiber/Hydrogel Composites as Injectable, Magnetically Aligned Cell Guidance Scaffolds.Advanced healthcare materials · 2026Article
- Poly-L-Ornithine coated plant scaffolds support motor recovery in rats after traumatic spinal cord injury.Scientific reports · 2025Article
- Pathophysiology of spinal cord injury and advanced therapeutic approaches.Molecular biology reports · 2025Review
- From bench to bedside: translating mesenchymal stem cell therapies through preclinical and clinical evidence.Frontiers in bioengineering and biotechnology · 2025Review
- Construction of functional neural network tissue combining CBD-NT3-modified linear-ordered collagen scaffold and TrkC-modified iPSC-derived neural stem cells for spinal cord injury repair.Bioactive materials · 2024Article
- Transplantation of Heat-Shock Preconditioned Neural Stem/Progenitor Cells Combined with RGD-Functionalised Hydrogel Promotes Spinal Cord Functional Recovery in a Rat Hemi-Transection Model.Stem cell reviews and reports · 2024Article
- Modern advances in spinal cord regeneration: hydrogel combined with neural stem cells.Frontiers in pharmacology · 2024Review
- Schwann Cell-Derived Exosomal Vesicles: A Promising Therapy for the Injured Spinal Cord.International journal of molecular sciences · 2023Review
- Challenges and progress of neurodrug: bioactivities, production and delivery strategies of nerve growth factor protein.Journal of biological engineering · 2023Review
- Injectable hydrogels in central nervous system: Unique and novel platforms for promoting extracellular matrix remodeling and tissue engineering.Materials today. Bio · 2023Review
- Current Concepts of Biomaterial Scaffolds and Regenerative Therapy for Spinal Cord Injury.International journal of molecular sciences · 2023Review
- Recent advances of medical polyhydroxyalkanoates in musculoskeletal system.Biomaterials translational · 2023Review
- Silk-Elastin-like Polymers for Acute Intraparenchymal Treatment of the Traumatically Injured Spinal Cord: A First Systematic Experimental Approach.Pharmaceutics · 2022Article
- Transplantation of encapsulated autologous olfactory ensheathing cell populations expressing chondroitinase for spinal cord injury: A safety and feasibility study in companion dogs.Journal of tissue engineering and regenerative medicine · 2022Article
- Additively manufactured metallic biomaterials.Bioactive materials · 2022Review
- The Role of Alginate Hydrogels as a Potential Treatment Modality for Spinal Cord Injury: A Comprehensive Review of the Literature.Neurospine · 2022Article
- Decellularized peripheral nerve as an injectable delivery vehicle for neural applications.Journal of biomedical materials research. Part A · 2022Article
- Biomaterial and Therapeutic Approaches for the Manipulation of Macrophage Phenotype in Peripheral and Central Nerve Repair.Pharmaceutics · 2021Review
44 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
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The highly debilitating nature of spinal cord injuries has provided much inspiration for the design of novel biomaterials that can stimulate cellular regeneration and functional recovery. Many experts agree that the greatest hope for treatment of spinal cord injuries will involve a combinatorial approach that integrates biomaterial scaffolds, cell transplantation, and molecule delivery. This manuscript presents a comprehensive review of biomaterial-scaffold design strategies currently being applied to the development of nerve guidance channels and hydrogels that more effectively stimulate spinal cord tissue regeneration. To enhance the regenerative capacity of these two scaffold types, researchers are focusing on optimizing the mechanical properties, cell-adhesivity, biodegradability, electrical activity, and topography of synthetic and natural materials, and are developing mechanisms to use these scaffolds to deliver cells and biomolecules. Developing scaffolds that address several of these key design parameters will lead to more successful therapies for the regeneration of spinal cord tissue.
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.