Demographic Characteristics of Patients with Severe Neuropathic Pain Secondary to Failed Back Surgery Syndrome
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Bibliographic record
Abstract
BACKGROUND: Neuropathic pain commonly affects the back and legs and is associated with severe disability and psychological illness. It is unclear how patients with predominantly neuropathic pain due to failed back surgery syndrome (FBSS) compare with patients with other chronic pain conditions. AIMS: To present data on characteristics associated with FBSS patients compared with those with complex regional pain syndrome, rheumatoid and osteoarthritis, and fibromyalgia. METHODS: The PROCESS (Prospective Randomized Controlled Multicenter Trial of the Effectiveness of Spinal Cord Stimulation, ISRCTN 77527324) trial randomized 100 patients to spinal cord stimulation (n = 52) plus conventional medical management (CMM) or CMM alone (n = 48). Baseline patient parameters included age, sex, time since last surgery, employment status, pain location and severity (visual analogue scale), health-related quality of life (HRQoL), level of disability, medication, and nondrug therapies. Reference population data was drawn from the literature. RESULTS: At baseline, patients in the PROCESS study had a similar age and gender profile compared with other conditions. PROCESS patients suffered from greater leg pain and had lower HRQoL. PROCESS patients treatment cost was higher and they commonly took opioids, while antidepressants and nonsteroidal anti-inflammatory drugs were more often used for other conditions. Prior to baseline, 87% of patients had tried at least 4 different treatment modalities. CONCLUSIONS: Patients suffering from chronic pain of neuropathic origin following FBSS often fail to obtain adequate relief with conventional therapies (eg, medication, nondrug therapies) and suffer greater pain and lower HRQoL compared with patients with other chronic pain conditions. Neuropathic FBSS patients may require alternative and possibly more (cost-) effective treatments, which should be considered earlier in their therapeutic management.
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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 | 0.005 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 it