The Epidemiology of Traumatic Spinal Cord Injury in British Columbia, Canada
Bibliographic record
Abstract
In Brief Study Design. Retrospective observational study utilizing prospectively collected population-based data. Objective. To describe the epidemiology and demographics of all patients with traumatic spinal cord injury (TSCI) treated at a single institution, which represents the sole referral center and specialized SCI unit for a population of 4 million people. Summary of Background Data. Although many studies report on the epidemiology of TSCI, studies in which patients are prospectively characterized in the acute setting with precise recording of their baseline neurological impairment are uncommon. Methods. Data on all patients admitted to a level 1 trauma center with TSCI between 1995 and 2004 were prospectively collected using a customized, fully relational, locally designed, spine database. Results. The incidence of TSCI averaged 35.7 per million and did not change substantially during 10 years of data collection. However, the median age of TSCI patients increased from 34.5 to 45.5 years during this period. The men-to-women ratio was 4.4:1. In those older than 55 years, cervical-level injuries with incomplete American Spinal Injury Association (ASIA) Impairment Scale (AIS) scores C and D were most common, with men demonstrating predominantly lower cervical injuries and women more likely to exhibit upper cervical injuries. Increasing rates of surgical treatment during 10 years of this study (61.8%–86.4%) were not associated with improvements in mortality rate or length of hospital stay. Patients older than 75 years who presented with an acute TSCI had a mortality rate of 20% while in hospital. Conclusion. The incidence of TSCI in our population has remained remarkably stable, and age-related changes mirror those in the population across 10 years. An increased tendency to surgical treatment during the 10 years of this study has not resulted in concomitant changes in patients' in-hospital mortality or length of stay. This ambispective study reports on the epidemiology and demographics of traumatic spinal cord injuries over 10 years. The mean incidence was 35.7 per million. Motor vehicle accidents accounted for 51.4%. A total of 45.3% of patients were American Spinal Injury Association Impairment Scale (AIS) score A, and 46.2% tetraplegic. Significant age- and sex-dependent differences exist for mechanism of injury, injury level, and AIS.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 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".