ReviewCureus2026
Robotic-Assisted Total Hip Arthroplasty Compared With Manual Techniques: A Systematic Review and Meta-Analysis of Operative Time, Complications, and Functional Outcomes.
Review in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Does a longer operative time increase perioperative trauma in robot-assisted total hip arthroplasty? A post hoc analysis of a multicenter randomized controlled trial.Journal of robotic surgery · 2026Trial
- Robotic-assisted versus conventional total hip arthroplasty: a three-year comparative analysis of patient-reported outcomes and complications.International orthopaedics · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This systematic review and meta-analysis evaluated the comparative effectiveness and safety of robotic-assisted versus manual total hip arthroplasty by analysing 15 comparative studies. A comprehensive literature search was conducted across multiple databases from January 2010 to December 2025, following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Studies comparing robotic-assisted and conventional manual total hip arthroplasty in primary procedures were included, with data extracted on operative time, perioperative complications, implant dislocation rates, and functional outcomes using the Harris Hip Score. Meta-analysis revealed that robotic-assisted total hip arthroplasty required significantly longer operative times compared with manual techniques, with a mean difference of 8.43 minutes. However, robotic-assisted procedures demonstrated a clinically meaningful 51% reduction in overall perioperative complications compared with manual techniques, with low heterogeneity among studies. This reduction may result from enhanced precision in component positioning, real-time haptic feedback preventing inadvertent bone resection, and improved soft tissue preservation. No significant differences were observed between groups with regard to implant dislocation rates or Harris Hip Score outcomes, suggesting that enhanced surgical precision does not necessarily translate into superior short-term functional outcomes. These findings indicate that while robotic-assisted total hip arthroplasty offers potential advantages in reducing complications, the increased operative time and substantial capital investment require careful consideration. The technology may be particularly beneficial for high-risk patients or complex cases. Future research should focus on long-term outcomes, cost-effectiveness analyses, and identification of specific patient subgroups who may derive maximum benefit from robotic assistance, to inform appropriate clinical utilisation of this technology.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.