- Design
- Target trial emulation using national registry data, propensity matched
- Population
- 666,283 total hip replacements (10,203 robotic), UK, 2018–2024
- Primary outcome
- Five-year implant survival and revision risk
- Effect
- 98.8% vs 98.8%; all-cause revision HR 0.96 (0.75–1.22); malposition HR 0.53 (0.30–0.93)
Using the National Joint Registry for England, Wales, Northern Ireland and the Crown dependencies, this study emulated a target trial of 666,283 total hip replacements done between 2018 and 2024, of which 10,203 were robotic. Propensity matching created comparable groups, with a mean follow-up of 2.5 years.
Five-year implant survival was 98.8% in both groups, and all-cause revision risk did not differ (HR 0.96, 0.75–1.22). Intraoperative complications and patient survival were also similar. The one difference was in revisions for malposition — dislocation, leg-length discrepancy and malalignment — which were about half as frequent after robotic surgery (HR 0.53, 0.30–0.93).
This is the kind of evidence every clinician meets when a new technology arrives: no difference in the outcome that matters most, a benefit in a narrower outcome, and a much higher cost. It is observational, early and open to confounding by which surgeons and patients chose robots.
- When patients ask about robotic hip replacement, five-year implant survival was the same as conventional surgery.
- Fewer revisions for dislocation or leg-length problems were seen with robotic surgery, but these events were uncommon either way.
- Surgeon experience and case selection may explain part of the difference in this observational data.
- Higher cost has not yet been shown to buy better overall outcomes.
Why it matters
It sets a realistic expectation for patients who assume newer means better.
Don't overread it
With 2.5 years' average follow-up, this cannot speak to long-term implant survival.
The statistics, in plain English
A hazard ratio of 0.53 for malposition revision has an upper limit of 0.93, close to no effect, and rests on few events. The near-identical survival figures with narrow intervals are the more robust finding.
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