Conceptio › Archive › ClinicalTrials.gov
ClinicalTrials.gov public full text Public Domain

Early Radiographic and Clinical Outcomes of Robotic-Arm-Assisted Versus Conventional TKA

Peking University Third Hospital · 2022
ClinicalTrials.gov · Datasets · License: Public Domain · 2022
Open Source ↗
natotal-knee-arthroplasty
Purpose: A robotic system was recently introduced to improve prosthetic alignment during total knee arthroplasty (TKA). The purpose of this multicenter prospective randomized controlled trial (RCT) study was to determine whether robotic-arm-assisted TKA improves the clinical and radiological outcomes in patients compared to conventional TKA. Methods: One hundred and thirty patients who underwent primary TKA were enrolled in this prospective, multicenter RCT conducted in 3 hospitals. Five patients were lost to follow-up at 6 weeks after surgery. Therefore, 125 patients (63 in the intervention group and 62 in the control group) remained in the final analysis. The primary outcome was the rate of patients whose mechanical axis of the femur was less than 3° deviated from the mechanical axis of the tibia evaluated by full-length weight-bearing X-rays of the lower limb at 6 weeks postoperatively. Secondary outcomes will include operation times, 6-week postoperative functional outcomes evaluated by the American Knee Society Score (KSS) and the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC), SF-36, adverse events (AEs) and serious adverse events (SAEs). Hypothesis: Robotic-arm-assisted TKA is safe and effective as demonstrated in this trial.
Conceptio Open Archive

Analyze & explore related research in Conceptio

Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.

This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗

Related documents

Record · ID 859742
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive