Evidence map›Paper›PMID 41995861›Full record

ArticleArchives of orthopaedic and trauma surgery2026

Does the preoperative CPAK classification influence clinical outcomes after medial and lateral unicompartmental knee arthroplasty? Short-term outcomes and phenotype distribution in a retrospective series of consecutive cases.

Stefano Campi, Carlo Esposito, Antongiulio Manfreda, Edoardo Franceschetti, Giacomo Rizzello, Gianluca Vadalà, Umile Giuseppe Longo, Rocco Papalia

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Article in Archives of orthopaedic and trauma surgery, 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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5 · Who and what money

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8 authors.

Stefano CampiDepartment of Medicine and Surgery, Università Campus Bio-Medico, Rome, Italy. s.campi@policlinicocampus.it.
Carlo EspositoDepartment of Medicine and Surgery, Università Campus Bio-Medico, Rome, Italy. carlo92.esposito@gmail.com.
Antongiulio ManfredaDepartment of Medicine and Surgery, Università Campus Bio-Medico, Rome, Italy.
Edoardo FranceschettiFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Giacomo RizzelloFondazione Policlinico Universitario Campus Bio-Medico, Rome, Italy.
Gianluca VadalàDepartment of Medicine and Surgery, Università Campus Bio-Medico, Rome, Italy.
Umile Giuseppe LongoDepartment of Medicine and Surgery, Università Campus Bio-Medico, Rome, Italy.
Rocco PapaliaDepartment of Medicine and Surgery, Università Campus Bio-Medico, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionRecent evidence suggest that mechanically aligned TKAs may yield heterogeneous outcomes across CPAK categories, but whether this applies to unicompartmental knee arthroplasty (UKA) remains unclear. This retrospective study evaluated the influence of preoperative CPAK category on postoperative clinical outcomes after UKA, with additional analyses assessing CPAK distribution, residual varus alignment, and their relationship with patient-reported outcomes. MATERIALS AND

methodsA total of 312 consecutive UKAs (280 patients) with ≥ 1-year follow-up were analyzed. Preoperative HKA and JLO were measured on weight bearing long-leg radiographs, and patients were classified according to the CPAK system. Outcomes were compared across the six most represented CPAK groups (I – VI) in 253 patients with complete PROM data.

resultsMean postoperative OKS was 40.5 ± 5.3, with a mean ΔOKS of 21.3 ± 8.7 and 97% patients’ satisfaction. No significant differences were observed among CPAK categories for OKS (p = 0.80), ΔOKS (p = 0.90), or satisfaction (p = 0.70), and alignment-based grouping (varus, neutral, valgus) showed similarly homogeneous outcomes. Residual varus ≥ 5° did not adversely affect results (p > 0.10), and no meaningful correlation was found between aHKA and postoperative OKS (r = − 0.003, p = 0.96). CPAK distribution differed significantly by sex (p < 0.001). Five patients were revised (2 for persistent pain, 1 for PCL instability, 2 for infection).

conclusionsPreoperative CPAK phenotype did not influence short-term clinical outcomes after UKA, and no heterogeneity in PROMs was detected across phenotypes. These findings support UKA as a reliable and alignment-tolerant procedure across a wide range of coronal morphotypes. Prospective studies with postoperative long-leg radiographs and longer follow-up are warranted to determine whether CPAK preservation influences long-term survivorship.

Indexed as

Arthroplasty, Replacement, KneeOsteoarthritis, KneeAgedFemaleHumansMaleMiddle AgedPatient Reported Outcome MeasuresPatient SatisfactionPhenotypeRetrospective StudiesTreatment OutcomeAlignment philosophyConstitutional varusCoronal plane alignmentJoint line obliquityKnee osteoarthritisKnee phenotypeOxford Knee ScorePatient-reported outcome measures

Identifiers

PMID41995861
PMCPMC13090233

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.