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Record W4415653076 · doi:10.7759/cureus.95645

Traumatic Ankle Injuries in the Emergency Department: Evaluating the Adequacy of Clinical Documentation With Reference to the Ottawa Ankle Rules

2025· article· en· W4415653076 on OpenAlexaboutno aff
Amna Anwar, Muhammad Hassaan Ali, Anwar Walid, Mohamed S Baalawi

Bibliographic record

VenueCureus · 2025
Typearticle
Languageen
FieldMedicine
TopicRadiology practices and education
Canadian institutionsnot available
Fundersnot available
KeywordsAnkleTriageEmergency departmentSoft tissue injuryAnkle injuryPresentation (obstetrics)TibiaRadiographySoft tissue

Abstract

fetched live from OpenAlex

Introduction Ankle trauma is a frequent presentation to the emergency department (ED) and poses a significant demand on radiology services. Efficient triage is essential to identify patients requiring urgent imaging, optimising resources, reducing waiting times, and minimising unnecessary radiation exposure. Injuries range from soft tissue damage to fractures of the distal tibia, fibula, or malleoli. Not all ankle injuries require immediate imaging, and clinical decision-making tools can guide the use of radiographs. The Ottawa Ankle Rules (OAR) are a validated tool, endorsed by the Royal College of Radiologists (RCR), designed to identify ankle injuries requiring radiographs. Imaging is indicated if the patient is unable to bear weight both immediately after injury and during examination, or if there is bone tenderness along the distal six centimetres of the posterior edge of the tibia or fibula, or over the lateral or medial malleoli. Adherence to the OAR has been shown to reduce unnecessary imaging while maintaining high sensitivity for fractures. Methods A two-cycle retrospective review was conducted of patients presenting with traumatic ankle injuries who underwent radiography. Records were reviewed via the Picture Archiving and Communication System (PACS) until 100 patients per cycle were included. Data collected included whether the OAR were referenced in radiograph requests and whether a fracture was diagnosed. After the first cycle, educational interventions were implemented to increase guideline awareness. The second cycle evaluated the impact of these interventions. Statistical analysis assessed the significance of observed changes. Exclusions included patients aged ≤16 years or ≥55 years, those with non-traumatic or chronic ankle presentations, and those with polytrauma or high-energy mechanisms of injury. Results were compared against RCR standards, which state that 100% of all ankle plain-film requests for trauma should reference the OAR. Results were presented at departmental governance meetings, and recommendations were subsequently implemented. Results In the first cycle, 37 (37%) of radiograph requests referenced the OAR. Fractures were identified in 21 (21%) patients, with 13 (61.9%) of these requests documenting the OAR and 8 (38.1%) omitting them. Following educational interventions, the second cycle demonstrated significant improvement, with 51 (51%) of requests referencing the OAR (P = 0.046). The proportion of patients with fractures increased to 31 (31%), of whom 26 (83.9%) had OAR documented, compared with 5 (16.1%) without documentation (P < 0.001). These findings reinforce that adherence to the OAR improves fracture detection, reduces unnecessary imaging, and remains a sensitive tool for ankle trauma assessment. Conclusion This quality improvement project demonstrates that focused interventions, particularly clinician education and guideline awareness, can enhance adherence to the OAR. Increased documentation and use of the OAR were associated with a higher diagnostic yield for fractures, improved triage, and a potential reduction in unnecessary imaging. Although full compliance was not achieved, incremental improvements contribute to patient safety and alignment with national recommendations. Future strategies may include regular departmental teaching sessions and system-based interventions such as electronic prompts to sustain compliance.

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 imitation

Not 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.

metaresearch head score (Codex)0.013
metaresearch head score (Gemma)0.054
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: Reporting · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.987
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0130.054
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.004
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.127
GPT teacher head0.489
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

Study designObservational
DomainReporting
GenreEmpirical

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".

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Citations0
Published2025
Admission routes1
Has abstractyes

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