Evidence-based clinical practice guidelines for the management of acute ankle injuries according to: a PRISMA systematic review and quality appraisal with AGREE II
Bibliographic record
Abstract
BACKGROUND: Acute ankle injuries are commonly seen in emergency rooms, with significant social impact and potentially devastating consequences. While several clinical practice guidelines (CPGs) related to ankle injuries have been developed by various organizations, there is a lack of critical appraisal of them. The purpose of this systematic review is to identify and critically appraise evidence-based clinical practice guidelines (EB-CPGs) related to acute ankle injuries in adults. METHOD: We conducted searches in the Cochrane Library, MEDLINE, EMBASE databases, WHO, and reviewed 98 worldwide orthopedic association websites up until early 2023. Two authors independently applied the inclusion and exclusion criteria, and each evidence-based clinical practice guideline (EB-CPG) underwent independent critical appraisal of its content by all four authors using the Appraisal of Guidelines for REsearch and Evaluation (AGREE II) instrument. AGREE II scores for each domain were then calculated. RESULTS: This review included five evidence-based clinical practice guidelines. The mean scores for all six domains were as follows: Scope and Purpose (87.8%), Stakeholder Involvement (69.2%), Rigour of Development (72.5%), Clarity of Presentation (86.9%), Applicability (45.6%), and Editorial Independence (53.3%). CONCLUSION: The number of EB-CPGs related to ankle injuries are limited and the overall quality of the existing evidence-based clinical practice guidelines (EB-CPGs) for ankle injuries is not strong, with three of them being outdated. However, valuable guidance related to Ottawa rules, manual therapy, cryotherapy, functional supports, early ambulation, and rehabilitation has been highlighted. Challenges remain in areas such as monitoring and/or auditing criteria, consideration of the target population's views and preferences, and ensuring editorial independence. Future guidelines should prioritize improvements in these domains to enhance the quality and relevance of ankle injury management. SYSTEMATIC REVIEW: Systematic review.
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 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 | 0.235 | 0.425 |
| Meta-epidemiology (narrow) | 0.004 | 0.004 |
| Meta-epidemiology (broad) | 0.016 | 0.022 |
| Bibliometrics | 0.032 | 0.030 |
| Science and technology studies | 0.004 | 0.005 |
| Scholarly communication | 0.009 | 0.008 |
| Open science | 0.008 | 0.009 |
| Research integrity | 0.006 | 0.006 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".