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Interventions for preventing ankle ligament injuries

2011· review· en· W2938816255 on OpenAlexaff
Helen HG Handoll, Brian H. Rowe, Kathryn Quinn, Rob de Bie

Post-publication record

OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.

Bibliographic record

VenueCochrane Database of Systematic Reviews · 2011
Typereview
Languageen
FieldMedicine
TopicFoot and Ankle Surgery
Canadian institutionsHealth Sciences CentreUniversity of Alberta
Fundersnot available
KeywordsAnkleLigamentPsychological interventionMedicinePhysical medicine and rehabilitationSurgeryNursing

Abstract

fetched live from OpenAlex

BACKGROUND: Some sports, for example basketball and soccer, have a very high incidence of ankle injuries, mainly sprains. Consequently, ankle sprains are one of the most commonly treated injuries in acute care. OBJECTIVES: To assess the effects of interventions used for the prevention of ankle ligament injuries or sprains in physically active individuals from adolescence to middle age. SEARCH STRATEGY: We searched the Cochrane Bone, Joint and Muscle Trauam Group's specialised register, MEDLINE, PubMed, EMBASE, CINAHL, the National Research Register and bibliographies of study reports. We also contacted colleagues and some trialists. The most recent search was conducted in July 2000. SELECTION CRITERIA: Randomised or quasi-randomised trials of interventions for the prevention of ankle sprains in physically active individuals from adolescence to middle age were included provided that ankle sprains were recorded. Interventions included use of modified footwear, external ankle supports, co-ordination training and health education. These could be applied as a supplement to treatment provided that prevention of re-injury was the primary objective. DATA COLLECTION AND ANALYSIS: At least two reviewers independently assessed methodological quality and extracted data. Wherever possible, results of outcome measures were pooled and sub-grouped by history of previous sprain. Relative risks (RR) and 95% confidence intervals (95% CI) are reported for individual and pooled data. MAIN RESULTS: In this review update, a further nine new trials were included. Overall, 14 randomised trials with data for 8279 participants were included. Twelve trials involved active, predominantly young, adults participating in organised, generally high-risk, activities. The other two trials involved injured patients who had been active in sports before their injury. The prophylactic interventions under test included the application of an external ankle support in the form of a semi-rigid orthosis (three trials), air-cast brace (one trial) or high top shoes (one trial); ankle disk training; taping; muscle stretching; boot inserts; health education programme and controlled rehabilitation.The main finding was a significant reduction in the number of ankle sprains in people allocated external ankle support (RR 0.53, 95% CI 0.40 to 0.69). This reduction was greater for those with a previous history of ankle sprain, but still possible for those without prior sprain. There was no apparent difference in the severity of ankle sprains or any change to the incidence of other leg injuries. The protective effect of 'high-top' shoes remains to be established.There was limited evidence for reduction in ankle sprain for those with previous ankle sprains who did ankle disk training exercises. Various problems with data reporting limited the interpretation of the results for many of the other interventions. AUTHORS' CONCLUSIONS: This review provides good evidence for the beneficial effect of ankle supports in the form of semi-rigid orthoses or air-cast braces to prevent ankle sprains during high-risk sporting activities (e.g. soccer, basketball). Participants with a history of previous sprain can be advised that wearing such supports may reduce the risk of incurring a future sprain. However, any potential prophylactic effect should be balanced against the baseline risk of the activity, the supply and cost of the particular device, and for some, the possible or perceived loss of performance.Further research is indicated principally to investigate other prophylactic interventions, their cost-effectiveness and general applicability.

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)0.006
metaresearch head score (Gemma)0.018
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.014
Threshold uncertainty score0.046

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.018
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0050.005
Bibliometrics0.0060.004
Science and technology studies0.0000.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0040.002
Insufficient payload (model declined to judge)0.0140.001

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.

Opus teacher head0.263
GPT teacher head0.443
Teacher spread0.180 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

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".

Quick stats

Citations12
Published2011
Admission routes1
Has abstractyes

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