ArticleTopics in spinal cord injury rehabilitation2023
Challenges in Translating Regenerative Therapies for Spinal Cord Injury.
Article in Topics in spinal cord injury rehabilitation, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 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
8 citing papers in PubMed.
- Ferroptosis-Pyroptosis Crosstalk in Spinal Cord Injury: Molecular Mechanisms, Emerging Connectors, and Staged Therapeutic Perspectives.Journal of molecular neuroscience : MN · 2026Review
- Spared corticospinal neurons activate an endogenous plasticity program after partial CNS injury.bioRxiv : the preprint server for biology · 2026Article
- Developmental Extracellular Matrix as a Bioactive Niche for Spinal Cord Organoid Maturation and SCI Repair.Molecular neurobiology · 2026Review
- CRISPR and Artificial Intelligence in Neuroregeneration: Closed-Loop Strategies for Precision Medicine, Spinal Cord Repair, and Adaptive Neuro-Oncology.International journal of molecular sciences · 2025Review
- A Review of Pathophysiology, Molecular Mechanisms, and Omics Approaches of Spinal Cord Injury.International journal of molecular sciences · 2025Review
- Enhancing Functional Recovery After Spinal Cord Injury Through Neuroplasticity: A Comprehensive Review.International journal of molecular sciences · 2025Review
- Redefining macrophage phenotypes after spinal cord injury: An open data approach.Experimental neurology · 2025Article
- Research progress on the mechanisms of endogenous neural stem cell differentiation in spinal cord injury repair.Frontiers in cellular neuroscience · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Regenerating the injured spinal cord is a substantial challenge with many obstacles that need to be overcome to achieve robust functional benefits. This abundance of hurdles can partly explain the limited success when applying regenerative intervention treatments in animal models and/or people. In this article, we elaborate on a few of these obstacles, starting with the applicability of animal models and how they compare to the clinical setting. We then discuss the requirement for combinatorial interventions and the associated problems in experimental design, including the addition of rehabilitative training. The article expands on differences in lesion sizes and locations between humans and common animal models, and how this difference can determine the success or failure of an intervention. An additional and frequently overlooked problem in the translation of interventions that applies beyond the field of neuroregeneration is the reporting bias and the lack of transparency in reporting findings. New data mandates are tackling this problem and will eventually result in a more balanced view of the field. Finally, we will discuss strategies to negotiate the challenging course of successful translation to facilitate successful translation of regeneration promoting interventions.
Indexed as
Identifiers
What Socratic 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 Socratic graph.