A Canadian perspective on anterior cervical discectomies: practice patterns and preferences
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Background: The purpose of this study is to elucidate the current practice patterns of Canadian neurosurgeons with regards to anterior cervical discectomy (ACD). Methods: A one-page questionnaire was sent out using SurveyMonkey to all neurosurgeon members of the Canadian Neurological Sciences Federation (CNSF). End points were surgeon preference for ACD surgical method, graft source, the length of collar usage and the recommended time before returning to work. Results: Response rate was 74.0%. Of the responders, 75.0% performed single level ACD and 18.3% had completed spine fellowships. The majority (68.2%) chose ACD with fusion and plating (ACDFP) as their preferred method with allograft being the most popular choice of fusion material (44.3%). Most of the respondents did not prescribe collars (60.9%) and when they did, hard collar was prescribed most often (76.9%) and AspenTM collar was the most popular choice (67.7%). The majority of surgeons chose ‘other’ as their response for length of time for collar use (40.0%) while allowing them to take their collars off at night (78.1%). Most of the surgeons recommended physiotherapy post-operatively (58.1%) and time to physiotherapy was 6–8 weeks. Recommended back to work time was 6 weeks for 44.9% of respondents. In the cross analysis, surgeons who performed ACDF were more likely to prescribe collars (50%, P=0.01) versus surgeons who performed ACDFP (21.7%, P=0.01). Conclusions: Our survey is an up to date description of current practice patterns for ACD amongst Canadian neurosurgeons.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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