AO Spine Clinical Practice Recommendations: Spinopelvic Fixation - What are the Key Items to Understand Performance?
Bibliographic record
Abstract
Study DesignLiterature review with clinical recommendations.ObjectiveTo highlight important studies related to spinopelvic fixation and provide recommendations to practicing clinicians on interpretation and utilization of the evidence included in these studies.MethodsImportant literature related to spinopelvic fixation was reviewed and clinical recommendations were formulated. Recommendations were graded as strong or conditional.ResultsThree articles were selected and reviewed for the strength of methodology and scientific evidence. Article 1: Biomechanical analysis of lumbosacral fixation in Lumbar Fusion and Stabilization was granted conditional recommendation to consider biomechanical factors associated with different pelvic constructs. Article 2: Low profile pelvic fixation: anatomic parameters for sacral alar-iliac fixation vs traditional iliac fixation was granted strong recommendation to consider risk and benefits in choosing S2AI vs traditional iliac screw for pelvic fixation. Article 3: Rates of loosening, failure, and revision of iliac fixation in adult deformity surgery was granted a conditional recommendation, for taking into account different potential failure mechanisms in S2AI vs traditional iliac screws in pelvic fixation.ConclusionsCurrently evolving strategies have included multiple points of pelvic fixation, multiple rods to the pelvis and strategies with concomitant fusion of the sacro-iliac joints. The high mechanical failure rate at the lumbosacral junction indicates that there is still further opportunity for optimization. It is important to consider the risks and benefits of different pelvic fixation methods to optimize the outcomes for individual patients.
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.
How this classification was reachedexpand
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 | 0.002 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".