Evidence map›Paper›PMID 42634058›Full record

SynthesisJournal of robotic surgery2026

Beyond robotics: a systematic review of technology integration in direct anterior approach total hip arthroplasty.

Gaurav Jha, Surya Malasani, Amit Bishnoi

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in Journal of robotic 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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Gaurav JhaDepartment of Trauma and Orthopaedics, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK. gauravnancy.jha27@gmail.com.
Surya MalasaniDepartment of Trauma and Orthopaedics, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.
Amit BishnoiDepartment of Trauma and Orthopaedics, University Hospitals of Leicester NHS Trust, Leicester, LE1 5WW, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Technology-assisted implant positioning has emerged as a strategy to improve component placement accuracy in total hip arthroplasty (THA). However, the comparative effectiveness of navigation, robotic-assisted, and artificial intelligence-assisted systems remains unclear, particularly for the technically demanding direct anterior approach (DAA).To systematically review and meta-analyze the comparative effectiveness of technology-assisted versus conventional manual DAA THA with respect to acetabular cup positioning accuracy and secondary outcomes. A systematic review was conducted following PRISMA 2020 guidelines (PROSPERO: CRD420261356027). MEDLINE, EMBASE, and Cochrane CENTRAL were searched from inception through February 2025, with a supplementary search in March 2026. Eligible studies included prospective and retrospective cohorts (no randomized controlled trials were identified) comparing technology-assisted (robotic, navigation, augmented reality, or AI-assisted) versus conventional manual DAA THA. Primary outcome was mean postoperative cup inclination angle. Secondary outcomes included safe zone compliance, outlier rates, operative time, radiation exposure, and complications. Risk of bias was assessed using ROBINS-I; evidence certainty was evaluated using GRADE methodology. Thirty-five studies encompassing 12,847 hips were included (34 from initial search; 1 from supplementary search). Navigation-assisted DAA achieved a mean difference of +1.16° (95% CI: -0.73 to +3.04; n=1,451 hips, k=7) in cup inclination compared to manual DAA, with substantial heterogeneity (I2=91.0%). Robotic-assisted DAA showed a mean difference of +0.20° (95% CI: -1.65 to +2.04; n=289 hips, k=3) compared to manual DAA (I2=67.8%). Across all pools, navigation systems demonstrated accelerated learning curves (typically 5-15 cases), whereas robotic systems showed earlier competency achievement. Operative time increased by a median of 9.4 minutes with navigation and 15-20 minutes with robotic systems. Radiation exposure varied substantially: CT-based navigation systems involved preoperative imaging burden, whereas fluoroscopic navigation and robotic systems minimized or eliminated fluoroscopy during implantation. While technology-assisted systems improve certain aspects of cup positioning accuracy and reduce outlier rates in specialized centers, evidence certainty is LOW for navigation-assisted and VERY LOW for robotic-assisted DAA THA due to substantial heterogeneity and risk of bias. Current evidence does not support routine adoption of technology-assisted direct anterior approach total hip arthroplasty solely to improve mean cup inclination. The more consistent potential value of these systems appears to lie in improving positioning precision and reducing outliers, particularly in technically demanding cases. Imageless navigation may represent a pragmatic compromise, offering improved accuracy with less operative-time and radiation burden than CT-based systems. Adequately powered, pre-registered randomized controlled trials are needed to establish the true clinical benefit of these technologies in improving patient outcomes and reducing dislocation rates.

Indexed as

Arthroplasty, Replacement, HipRobotic Surgical ProceduresSurgery, Computer-AssistedAcetabulumArtificial IntelligenceHumansOperative TimeAcetabular component positioningComputer-assisted navigationDirect anterior approachMeta-analysisRobotic surgerySystematic reviewTotal hip arthroplasty

Identifiers

What OpenQuestion holds

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Registered trials

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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.