Is There a Relationship between Chronic Pain and Autonomic Dysreflexia in Persons with Cervical Spinal Cord Injury?
Bibliographic record
Abstract
The purpose of this study was to define the relationships among clinical characteristics of chronic pain, injury characteristics, affective factors and autonomic dysreflexia (AD) in people with chronic cervical spinal cord injury (SCI). A survey containing questions concerning the presence of AD, demographic factors, clinical characteristics of pain and affective symptoms, was mailed to people with traumatic SCI and chronic pain included in the Miami Project to Cure Paralysis database. Of all subjects (n = 330) reporting chronic pain in a previous study, 181 had cervical injuries. Of this subset, 117 (64.6%) participated in the study. Thirty-five people (29.9%) reported AD in our study. Although intense pain has previously been reported to trigger AD, the average pain intensity was not predictive of AD. Pair-wise comparisons indicated that people reporting AD marked significantly more painful areas in the drawing and used more descriptive pain adjectives. Anxiety and sadness were significantly more frequent among people with AD. Furthermore, aggravation of pain due to muscle spasms, infections, full bladder, and constipation was significantly more common among people with AD. The logistic regression analysis indicated that a combination of having widespread pain, experiencing aggravation of pain due to infections, having a complete injury, and experiencing anxiety significantly predicted AD. Our results suggest that relationships between chronic pain and AD exist. Since multiple pain types are common after SCI and may be associated with AD, it is important to determine which pain types that may be particularly important for the condition of AD.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".