Factors influencing neuropathic pain in patients with spinal cord injury
Bibliographic record
Abstract
Objective To investigate the neuropathic pain (NP) accompanying spinal cord injury (SCI), and to analyze the related factors to provide references for its prevention and treatment. Methods Seventy SCI patients with NP were selected using the DN4 scale. Their age, gender, occupation, education level, monthly income, injury position, marital status and other data were surveyed using a general questionnaire. Their NP situation was surveyed using a simplified McGill pain questionnaire (SF-MPQ). Results The patients′ average visual analogous scale (VAS) score was 4.37. Their average pain rating index (PRI) according to the SF-MPQ was 8.23, with the PRI-sensory and PRI-emotional components 5.23 and 3.00 respectively. The average degree of present pain intensity was 1.86, between mild pain and discomfort, and discomfort was the description most commonly used. The most common pain descriptor was prickling pain, followed by burning pain and bulge pain. 85.7% of the patients felt that their pain had an adverse effect on their affective state, and exhaustion occurred more often than any other descriptive words. Univariant analysis showed that the degree of injury, education level, marital status, monthly income, family support and medication history were all factors correlated with NP perceptions. Multivariate logistic regression analysis showed that being unmarried and severity of injury were independent protective factors against NP. No family support, no medication and low income were independent risk factors for NP. Conclusion The type of neuropathic pain varies in patients with spinal cord injury. The intensity of the pain is mostly at a medium level. The emotional state of most patients was affected. Neuropathic pain involves many factors. Being unmarried and severely injured are independent protective factors, while lack of family support, no medication, and having low income were independent risk factors. Key words: Spinal cord injury; Neuropathic pain; Pain
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".