ArticleWorld journal of orthopedics2024
Three predictive scores compared in a retrospective multicenter study of nonunion tibial shaft fracture.
Article in World journal of orthopedics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Predicting nonunion - a hybrid machine-learning model combining patient factors and mechanobiological simulation features exceeds clinician accuracy.Bone & joint research · 2026Article
- Elucidating the mechanisms by which acetyl tributyl citrate affects fracture healing: a comprehensive network toxicology study.BMC pharmacology & toxicology · 2026Article
- Application of the LEG NUI score to assess revision success in established distal femur non-unions.Journal of orthopaedics · 2025Article
- The Power of Heuristics in Predicting Fracture Nonunion.Journal of clinical medicine · 2025Article
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Authors and funding
6 authors.
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Abstract
backgroundDelayed union, malunion, and nonunion are serious complications in the healing of fractures. Predicting the risk of nonunion before or after surgery is challenging.
aimTo compare the most prevalent predictive scores of nonunion used in clinical practice to determine the most accurate score for predicting nonunion.
methodsWe collected data from patients with tibial shaft fractures undergoing surgery from January 2016 to December 2020 in three different trauma hospitals. In this retrospective multicenter study, we considered only fractures treated with intramedullary nailing. We calculated the tibia FRACTure prediction healING days (FRACTING) score, Nonunion Risk Determination score, and Leeds-Genoa Nonunion Index (LEG-NUI) score at the time of definitive fixation.
resultsOf the 130 patients enrolled, 89 (68.4%) healed within 9 months and were classified as union. The remaining patients (
conclusionLEG-NUI and FRACTING showed the best performances by accurately predicting union and nonunion.
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