Strategies to Augment the Cardiovascular System and Acutely Enhance Exercise Performance in Individuals with Spinal Cord Injury: A Systematic Scoping Review
Bibliographic record
Abstract
BACKGROUND: Spinal cord injury (SCI) affects motor and autonomic functions that reduce exercise capacity. Specifically, the loss of sympathetic drive following SCI at or above the sixth thoracic segment (≥ T6) can impair cardiovascular responses to exercise. This systematic scoping review aimed to identify ergogenic strategies that may augment the cardiovascular system and acutely enhance exercise performance in individuals with SCI. METHODS: A systematic literature search was conducted using electronic databases (Medline, Embase, Web of Science) from inception to 1st April 2025. Studies were included if they met the following eligibility criteria: (1) human participants (aged ≥ 16 years); (2) any acquired SCI (traumatic, infection, cancer); (3) any sample size but must be > 80% SCI; (4) acute, single, volitional exercise sessions with cross-over design (i.e., ergogenic strategy and control sessions); (5) report a measurable exercise performance outcome, and (6) the strategy used to enhance performance must have a theoretical effect on the cardiovascular system. Data were extracted from eligible studies and charted. Hedges' g summary effect sizes were calculated to quantify the magnitude of effects across strategies. RESULTS: A total of 7266 possible articles were identified. Following a full-text review, 32 articles were included. Findings were reported by strategy, defined as either mechanical (e.g., abdominal binders, lower-body compression, passive leg exercise and supine posture) or neuromodulatory [e.g., autonomic dysreflexia (AD), functional electrical stimulation (FES), pharmaceuticals/supplements/stimulants, and spinal cord stimulation (SCS)]. The neuromodulatory strategies appeared more robust at augmenting cardiovascular and performance outcomes, particularly AD, FES, and SCS. CONCLUSIONS: We examined methods to improve acute exercise performance by augmenting the cardiovascular system in individuals with SCI. The large heterogeneity across methodologies and outcome measures made it challenging to draw conclusions regarding the underlying physiological mechanisms. Consequently, providing definitive recommendations on the best strategies to enhance performance was not possible based on current literature. Future research should be conducted across all ergogenic strategies, with a careful focus on females, trained and untrained participants, and individuals who are more likely to benefit from improvements in cardiovascular output (i.e., SCI ≥ T6). Registration This review was pre-registered on the Open Science Framework ( https://osf.io/w7apu/ ).
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.008 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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 teacher head, 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".