Survey of the Practice of Spinal Cord Stimulators and Intrathecal Analgesic Delivery Implants for Management of Pain in Canada
Bibliographic record
Abstract
BACKGROUND: In 2006, the Canadian Neuromodulation Society was formed. The present survey characterizes the practice of spinal cord stimulator (SCS) and intrathecal analgesic delivery pump (IADP) implantation for pain management in different centres across Canada. METHOD: A structured questionnaire was designed to examine the funding source, infrastructure and patient screening process in different centres implanting SCSs and IADPs. Centres that performed more than 10 implants per year were surveyed. The survey was centre-based, ie, each centre received one questionnaire regardless of the number of staff involved in neuromodulation practice. RESULTS: Fourteen centres were identified and 13 responded. Implantation of SCS and IADP was performed in 12 and 10 centres, respectively. In most centres, failed back surgery syndrome was the most frequent indication for SCS and IADP implantation. For SCS, all centres always performed a trial; the majority used percutaneous electrode (83%) before the SCS implantation. Routine psychological screening was performed in 25% of centres before any SCS trial procedure. For IADP, all centres performed a trial injection or infusion before implantation. Five centres (50%) performed psychological screening in almost all patients. Continuous infusion techniques were the most popular (50%) used for the trial. CONCLUSION: The present survey provides a 'snapshot' of the practice of SCS and IADP implantation in Canada. A review of SCS and IADP trials indicated that Canadian practices are mostly, but not always, consistent with those elsewhere.
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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 | 0.001 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".