Economic evaluations of diagnostic tests, treatment and prevention for lateral ankle sprains: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To assess and summarise the economic evidence regarding diagnostic tests, treatment and prevention for lateral ankle sprains. METHODS: Potential studies were identified from electronic databases and trial registries and by scanning reference lists. Risk of bias and methodological quality were evaluated. Two independent reviewers screened, assessed studies and extracted data. Data were synthesised descriptively due to study heterogeneity. RESULTS: A total of 230 records were identified; 10 studies were included. Five studies conducted a full economic evaluation and five studies involved cost analyses. Lack of blinding was the main risk of bias. The methodological quality of the full economic evaluations was fairly good. Valuation of costs, measurement of outcomes and sensitivity analysis were points for improvement. Single studies showed that the Ottawa ankle rules (OAR) was cost effective for diagnosing lateral ankle sprains in the emergency setting compared with existing hospital protocols; acute treatment with anti-inflammatory medication and the plaster cast for severe sprains appeared cost effective; and neuromuscular training was cost effective in preventing ankle re-injury. CONCLUSIONS: Results of this current systematic review supplements the evidence provided by reviews of effectiveness. There is evidence to support the implementation of OAR in the emergency setting, the use of anti-inflammatory medication and the plaster cast in the acute phase, and the prescription of neuromuscular exercises to prevent re-injury. Although the evidence is limited due to the low number of studies, shortcomings in methodological quality and small sample sizes, the findings may be used to inform clinical practice and practice guidelines.
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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 | 0.027 | 0.135 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.014 |
| Bibliometrics | 0.012 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.005 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".