Sacral and Pelvic Fractures: Historical Systems and Advancements with the AO Spine Classification
Bibliographic record
Abstract
Study DesignSystematic Review.ObjectivesTo detail every historical classification system of the sacrum and pelvis and their resultant integration into the encompassing AO Spine Sacral Injury Classification System.MethodsA systematic review of MEDLINE, EMBASE and Cochrane Databases was performed in keeping with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines.Results49 studies were included in the systematic review. Historical systems fail to provide clinicians with a rational method of determining whether operative or non-operative management is appropriate. Fracture morphologies are presented in a non-hierarchical manner without considering crucial treatment changing factors such as degree of neurological injury or associated anterior pelvic injury. The AO Spine Sacral Injury Classification System introduces sacrum and pelvic fractures in a clinically meaningful manner ranging from the usually stable type A bony injures of the lower sacrococcygeal region, to the type B posterior pelvic injuries potentially involving the sacral foramina, and finally the type C unstable spino-pelvic injuries.ConclusionsThe sacrum and pelvis are biomechanically related structures and should be evaluated as a unified entity rather than separately as has been historically suggested. The AO Spine Sacral Injury Classification System achieves this by considering the integrity of the spino-pelvic bony as well as supporting ligamentous structures, whilst simultaneously providing a graded framework to guide whether surgical or non-surgical management is most appropriate.
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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 | 0.021 | 0.062 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.015 | 0.017 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".