Functional and goniometric outcomes after surgical treatment of odontoid fractures
Bibliographic record
Abstract
Background: Surgical approaches to stabilize Type-II odontoid fractures include posterior atlantoaxial fixation (PAF) and anterior screw fixation (ASF). While ASF may theoretically allow for greater preservation of neck motion compared to PAF, there is a lack of evidence that one method preserves rotation and function better than the other. Methods: Single-centre study involving patients under 75 years old who underwent surgery for Type-II odontoid fracture. Following chart review, degree of neck rotation was assessed in patients using goniometric measurements. Participants completed questionnaires to investigate their perception of neck function and overall health (Neck Disability Index, Short Form-12, and EuroQol 5-D). Results: Patient recruitment is ongoing. To date, eleven patients have been reviewed (7 PAF, 4 ASF). Mean patient age was 61+/−12 years in the PAF group and 52+/−16 years in the ASF group. Measured neck rotation was lower in the PAF group compared to the ASF group (mean 58 vs. 110.5 degrees). However, the PAF group also reported fewer functional complaints. Conclusions: Preliminary data suggest that patients who receive ASF tend to be younger. While range of neck rotation is superior in ASF patients, their perception of functional ability does not correlate, suggesting that perceived neck function is multifactorial.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".