Evidence map›Paper›PMID 42615007›Full record

ArticleJournal of experimental orthopaedics2026

External validation of the BABY-Knee Algorithm for treatment decision-making in skeletally immature patients with anterior cruciate ligament injuries: A Dutch cohort study.

Annika Babette Ito, Rob Paulus Augustinus Janssen, Stijn Thomas Henricus Croes, Robin Nicolaas Julian Voskuilen, Alberto Grassi, Maria Christine van der Steen, Martijn Dietvorst

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Article in Journal of experimental orthopaedics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Annika Babette ItoDepartment of Orthopaedic Surgery and Trauma Máxima Medical Centre Veldhoven the Netherlands.ORCID https://orcid.org/0009-0005-1569-6850
Rob Paulus Augustinus JanssenDepartment of Orthopaedic Surgery and Trauma Máxima Medical Centre Veldhoven the Netherlands.
Stijn Thomas Henricus CroesDepartment of Orthopaedic Surgery and Trauma Máxima Medical Centre Veldhoven the Netherlands.
Robin Nicolaas Julian VoskuilenDepartment of Orthopaedic Surgery and Trauma Máxima Medical Centre Veldhoven the Netherlands.
Alberto GrassiDipartimento di Scienze Biomediche e Neuromotorie (DIBINEM) Università di Bologna Bologna Italy.
Maria Christine van der SteenDepartment of Orthopaedic Surgery and Trauma Máxima Medical Centre Veldhoven the Netherlands.
Martijn DietvorstDepartment of Orthopaedic Surgery and Trauma Máxima Medical Centre Veldhoven the Netherlands.ORCID https://orcid.org/0000-0003-3581-287X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: The aim of this study was to investigate the external validity of the Best anterior cruciate ligament (ACL)-treatment Based on the Years of the Knee (BABY-Knee) Algorithm, developed based on an Italian population and to assess its applicability to a Dutch patient population treated in accordance with the 2018 International Olympic Committee (IOC) consensus statement. Methods: A total of 109 skeletally immature patients with ACL injuries were included from the Dutch contribution to the European Society of Sport Traumatology, Knee Surgery and Arthroscopy (ESSKA) Paediatric Monitoring Initiative (PAMI). The BABY-Knee Algorithm was retrospectively applied to all patients, and corresponding scores were calculated. The predictive performance of the BABY-Knee Algorithm was assessed using the validation approach of the original validation study and an additional failure criterion based on hard clinical endpoints. Results were compared with the previously reported results. Results: Of the 109 patients included, 78 (71.6%) were treated non-operatively, while the remaining 31 (28.4%) underwent operative treatment. However, according to the algorithm, 34 patients (31.2%) had a score of <3, indicating non-operative treatment, whereas 75 patients (68.8%) had a score of ≥3, indicating operative treatment. A statistically significant difference was observed between the algorithm's prediction and the performed treatment ( Conclusion: The external validation of the BABY-Knee Algorithm showed inferior predictive performance compared with the original internal validation study in an Italian population. These findings suggest that the BABY-Knee Algorithm is not directly applicable to other populations of skeletally immature patients with ACL injuries. Level of Evidence: Level III.

Indexed as

2018 IOC consensus statementACL injuryBABY‐Knee Algorithmdecision supportpaediatric

Identifiers

PMID42615007
PMCPMC13484896

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