ArticleBMJ open2019
Predicting patient-reported and objectively measured functional outcome 6 months after ankle fracture in people aged 60 years or over in the UK: prognostic model development and internal validation.
Article in BMJ open, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 13 citations in OpenAlex.
- Falls prevention interventions for community-dwelling older adults: systematic review and meta-analysis of benefits, harms, and patient values and preferences.Systematic reviews · 2024Pooled it
- Persistent functional deficits after ankle fracture surgery: A long-term gait and functional analysis.Journal of orthopaedics · 2025Article
- Clinical relevance of current patient-reported outcome measures for ankle fracture: surgeons' perspective.OTA international : the open access journal of orthopaedic trauma · 2024Article
- Predictive Factors of Functional Outcomes and Quality of Life in Patients with Ankle Fractures: A Systematic Review.Journal of clinical medicine · 2024Review
- [Factors associated with functionality in patients with closed ankle fracture].Revista medica del Instituto Mexicano del Seguro Social · 2023Observational
- Recovery and Return to Activity 1 Year After Ankle Fracture Managed With Open Reduction and Internal Fixation: A Prospective Longitudinal Cohort Study.Foot & ankle orthopaedics · 2022Article
- Observational
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveTo predict functional outcomes 6 months after ankle fracture in people aged ≥60 years using post-treatment and 6-week follow-up data to inform anticipated recovery, and identify people who may benefit from additional monitoring or rehabilitation.
designPrognostic model development and internal validation.
setting24 National Health Service hospitals, UK.
methodsParticipants were the Ankle Injury Management clinical trial cohort (n=618) (ISRCTN04180738), aged 60-96 years, 459/618 (74%) female, treated surgically or conservatively for unstable ankle fracture. Predictors were injury and sociodemographic variables collected at baseline (acute hospital setting) and 6-week follow-up (clinic). Outcome measures were 6-month postinjury (primary) self-reported ankle function, using the Olerud and Molander Ankle Score (OMAS), and (secondary) Timed Up and Go (TUG) test by blinded assessor. Missing data were managed with single imputation. Multivariable linear regression models were built to predict OMAS or TUG, using baseline variables or baseline and 6-week follow-up variables. Models were internally validated using bootstrapping.
resultsThe OMAS baseline data model included: alcohol per week (units), postinjury EQ-5D-3L visual analogue scale (VAS), sex, preinjury walking distance and walking aid use, smoking status and perceived health status. The baseline/6-week data model included the same baseline variables, minus EQ-5D-3L VAS, plus five 6-week predictors: radiological malalignment, injured ankle dorsiflexion and plantarflexion range of motion, and 6-week OMAS and EQ-5D-3L. The models explained approximately 23% and 26% of the outcome variation, respectively. Similar baseline and baseline/6 week data models to predict TUG explained around 30% and 32% of the outcome variation, respectively.
conclusionsPredictive accuracy of the prognostic models using commonly recorded clinical data to predict self-reported or objectively measured ankle function was relatively low and therefore unlikely to be beneficial for clinical practice and counselling of patients. Other potential predictors (eg, psychological factors such as catastrophising and fear avoidance) should be investigated to improve predictive accuracy. TRIAL REGISTRATION NUMBER: ISRCTN04180738; Post-results.
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