Spinal Cord Stimulation Research in the Restoration of Motor, Sensory, and Autonomic Function for Individuals Living With Spinal Cord Injuries: A Scoping Review
Bibliographic record
Abstract
OBJECTIVE: To describe the status of spinal cord stimulation (SCS) research for the improvement of motor, sensory, and autonomic function for individuals living with a spinal cord injury (SCI). DATA SOURCES: This scoping review identified original research published before March 31, 2021, via literature searches using MEDLINE, Embase, PubMed, Science Direct, Cumulative Index to Nursing and Allied Health, Sport Discus, and Web of Science, as well as a targeted search for well-known principal investigators. Search terms included permutations of "spinal cord stimulation," "epidural spinal cord stimulation," "transcutaneous spinal cord stimulation," "magnetic spinal cord stimulation," and "neuromodulation." STUDY SELECTION: Studies were included if they (1) were in English, (2) presented original research on humans living with a SCI, and (3) investigated at least 1 of the 3 forms of SCS. DATA EXTRACTION: Extracted data included authors, publication year, participant characteristics, purpose, study design, stimulation (device, location, parameters), primary outcomes, and adverse events. DATA SYNTHESIS: As a scoping review the extracted data were tabulated and presented descriptively. Themes and gaps in the literature were identified and reported. Of the 5754 articles screened, 103 articles were included (55 epidural, 36 transcutaneous, 12 magnetic). The primary research design was a case study or series with only a single randomized controlled trial. Motor recovery was the most common primary outcome for epidural and transcutaneous SCS studies, whereas bowel and bladder outcomes were most common for magnetic SCS studies. Seventy percent of the studies included 10 or fewer participants, and 18 articles documented at least 1 adverse event. Incomplete stimulation parameter descriptions were noted across many studies. No articles mentioned direct engagement of consumers or advocacy groups. CONCLUSIONS: This review identified a need for more robust study designs, larger sample sizes, comparative studies, improved reporting of stimulation parameters, adverse event data, and alignment of outcomes with the priorities of the community with SCI.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.005 | 0.006 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".