PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 12, 2026The American Journal of Sports Medicine0 citations

Ankle-GO Score to Identify Elite Basketball Players Who Will Suffer Lateral Ankle Sprain During a Competitive Season: A 1-Year Prospective Cohort Study

View Full Paper
AHAlexandre HardyFTF. TasseryTAThierry Allaire

Key Points

  • This research aims to assess whether the Ankle-GO score effectively identifies elite basketball players at high risk for lateral ankle sprains during a season.
  • Evaluated 48 elite basketball players with the Ankle-GO score before the competitive season.
  • Recorded instances of lateral ankle sprain during the season for each player's ankle.
  • Compared predictive factors including Ankle-GO score, BMI, injury history, and sex between injured and uninjured players.
  • Utilized receiver operating characteristic curves and logistic regression to analyze data.
  • Seventeen lateral ankle sprains occurred during the season.
  • Injured ankles had a significantly lower Ankle-GO score (16.9) compared to uninjured ones (19.6; P = .004).
  • Ankle-GO score <19 points was linked to greater risk of new ankle sprains (OR, 5.5; P = .007).
  • Previous history of ankle sprains also increased risk (OR, 3.5; P = .03).

Abstract

Background: Lateral ankle sprain (LAS) is the most common injury in basketball, and identifying at-risk players is of high importance. Purpose: To evaluate the ability of the Ankle-GO score to identify elite basketball players who will suffer LAS during a competitive season as well as other potential predictive factors. Study Design: Cross-sectional study; Level of evidence, 2. Methods: A total of 48 elite basketball players (22 male, 26 female; mean ± SD age, 17.9 ± 3.7 years) performed the Ankle-GO score on both limbs during a preseason session. This score is a cluster of functional tests and self-reported questionnaires evaluating ankle function. LAS incidence was recorded throughout the competitive season for each ankle of the players. Potential predictive variables (Ankle-GO, body mass index, history of previous LAS, and sex) associated with LAS were compared between injured and uninjured athletes. The areas under the receiver operating characteristic curve (AUCs) and multivariable logistic regression models with odds ratio (OR) and 95% CI were used to identify potential factors of LAS. Results: A total of 17 occurrences of LAS occurred during the season. Ankle-GO score was lower among injured ankles (16.9 ± 3.6 points vs 19.6 ± 3.2; P = .004; d = 0.8) and was associated with probability to sustain an LAS (AUC, 0.71; 95% CI, 0.57-0.84; P = .008). Athletes with an Ankle-GO score <19 points and those who suffered an LAS during the previous years were more likely to experience a new LAS on the same ankle (OR, 5.5; 95% CI, 1.6-19.2; P = .007, and OR, 3.5; 95% CI, 1.1-10.9; P = .03, respectively). Conclusion: The Ankle-GO score can help to identify elite basketball players who will suffer LAS during a competitive season.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Hardy et al. (2026) studied this question.

synapsesocial.com/papers/698d6e7b5be6419ac0d543cehttps://doi.org/10.1177/03635465251410554
Ask AI
Helpful
Bookmark
Share
View Full Paper