Trauma Association of Canada Pediatric Subcommittee National Pediatric Cervical Spine Evaluation Pathway: Consensus Guidelines
Bibliographic record
Abstract
BACKGROUND: The Institute of Medicine calls for the use of clinical guidelines and practice parameters to promote "best practices" and improve patient outcomes. In 2006, The Trauma Association of Canada Pediatric Committee set out to create an evidence-based, national pediatric cervical spine (c-spine) clearance guideline based on the literature, existing algorithms from each pediatric trauma center and from expert opinion from across Canada. METHODS: A review of the literature took place in September 2006 using the PubMed database. Search criteria were "cervical spine," "c-spine," "clearance," and "trauma." Limits that were applied were "Languages: English," "Humans," "Type of Article: Meta-Analysis, Practice Guidelines, Randomized Control Trial, Review," and "Ages: all child 0-18 years." These search criteria were repeated in December 2007, April 2009, and October 2009. A total of 248 articles were identified. Existing guidelines were identified and their practices examined as models of care. Two draft guidelines were created for discussion: one for the pediatric patient with a reliable clinical examination and the other for the pediatric patient with an unreliable clinical examination. Via email, telephone, and two national videoconferences, the content of the guidelines was reviewed, discussed, and amended. The final article was prepared and circulated for author input until consensus was reached. RESULTS: A consensus was reached on two pathways to evaluate the pediatric cervical spine: a patient with a reliable clinical examination and a patient with an unreliable examination. CONCLUSION: Presented herein are the consensus Trauma Association of Canada, National Pediatric Cervical Spine Evaluation Pathways for the patient with a reliable clinical examination, and the patient with and unreliable clinical examination.
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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 | 0.073 | 0.185 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.005 | 0.007 |
| Bibliometrics | 0.020 | 0.020 |
| Science and technology studies | 0.006 | 0.004 |
| Scholarly communication | 0.007 | 0.005 |
| Open science | 0.017 | 0.007 |
| Research integrity | 0.013 | 0.012 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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".