Joint-specific measures improve risk adjustment in total knee arthroplasty: A machine learning approach.
Müller D; Gillani A; Hirschmann MT; Lazic I; Hinterwimmer F; Arber A; Krüger F; Matziolis G · 2026 · Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA
WASTE classifies this as Negative / Null Result Report · AI classification, approximate
The study found no significant effect — useful as a negative control or null benchmark for your own design.
Abstract (excerpt)
Purpose Accurate risk adjustment in total knee arthroplasty (TKA) is essential for outcome prediction and quality assessment. Most existing prediction models rely solely on patient demographics and comorbidities and do not account for…
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Metadata source: Europe PMC · DOI 10.1002/ksa.70480