ReviewAPL bioengineering2023
Generation of direct current electrical fields as regenerative therapy for spinal cord injury: A review.
Review in APL bioengineering, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Mechanisms and Applications of Conductive Biomaterials in Spinal Cord Injury Repair.Biomaterials research · 2026Review
- Daily electric field treatment improves functional outcomes after thoracic contusion spinal cord injury in rats.Nature communications · 2025Article
- Electrically Active Biomaterials for Stimulation and Regeneration in Tissue Engineering.Journal of biomedical materials research. Part A · 2025Review
- Transcutaneous electrical nerve stimulation as an adjuvant treatment for thoracolumbar acute hyperesthesia in chondrodystrophic dogs: a prospective blinded controlled clinical study.Frontiers in pain research (Lausanne, Switzerland) · 2025Article
- Comprehensive simulations of intracellular electric fields during exposure to tumor treating fields.Frontiers in oncology · 2025Article
- Extracorporeal Shock Wave Therapy (eSWT) in Spinal Cord Injury-A Narrative Review.Journal of clinical medicine · 2024Review
- Bioelectronic Direct Current Stimulation at the Transition Between Reversible and Irreversible Charge Transfer.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2024Article
- Optical Devices for the Diagnosis and Management of Spinal Cord Injuries: A Review.Biosensors · 2024Review
- Guest Editorial: Implantable bioelectronics.APL bioengineering · 2024Article
- Finite element analysis of electric field distribution during direct current stimulation of the spinal cord: Implications for device design.APL bioengineering · 2023Article
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
Electrical stimulation (ES) shows promise as a therapy to promote recovery and regeneration after spinal cord injury. ES therapy establishes beneficial electric fields (EFs) and has been investigated in numerous studies, which date back nearly a century. In this review, we discuss the various engineering approaches available to generate regenerative EFs through direct current electrical stimulation and very low frequency electrical stimulation. We highlight the electrode-tissue interface, which is important for the appropriate choice of electrode material and stimulator circuitry. We discuss how to best estimate and control the generated field, which is an important measure for comparability of studies. Finally, we assess the methods used in these studies to measure functional recovery after the injury and treatment. This work reviews studies in the field of ES therapy with the goal of supporting decisions regarding best stimulation strategy and recovery assessment for future work.
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.