Evidence map›Paper›PMID 42502475›Full record

ArticleJournal of shoulder and elbow arthroplasty2026

Utility of extended reality in shoulder arthroplasty: a meta-analysis of training efficiency and glenoid guidewire accuracy.

Max L Ruiz, Geoffrey D Abrams, Michael T Freehill, Emilie V Cheung

Abstract read
In one paragraph

Article in Journal of shoulder and elbow arthroplasty, 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

4 authors.

Max L RuizDepartment of Orthopaedic Surgery Stanford Hospitals and Clinics, Stanford, CA, USA.
Geoffrey D AbramsDepartment of Orthopaedic Surgery Stanford Hospitals and Clinics, Stanford, CA, USA.
Michael T FreehillDepartment of Orthopaedic Surgery Stanford Hospitals and Clinics, Stanford, CA, USA.
Emilie V CheungDepartment of Orthopaedic Surgery Stanford Hospitals and Clinics, Stanford, CA, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Extended reality (XR) has seen increased usage in shoulder arthroplasty for both intraoperative guidance and surgical training, but its impact on technical accuracy and performance has not been quantified across studies. The objective of this analysis was to determine the impact of XR on educational efficiency and glenoid guidewire placement error. Two separate meta-analyses of randomized or quasi-experimental studies were performed. Methods: Based on the Preferred Reporting Items for Systematic Reviews and Meta-Analyses search guidelines, 24 studies were identified in XR-based shoulder surgery education. After applying inclusion, 3 studies involving 55 participants were meta-analyzed. Using the same Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines, 35 studies were identified in XR-guided shoulder arthroplasty. After applying inclusion criteria, 7 studies involving 349 guidewire placements were meta-analyzed. Results: In the surgical education studies, XR-trained participants completed procedures faster than controls, but OSAT (Objective Structured Assessment of Technical Skills) scores did not significantly differ. Across the glenoid guidewire studies, XR guidance reduced version error and inclination error versus freehand, but entry point error was not significantly different between XR-guided procedures and freehand. Conclusion: XR-based tools appear to offer meaningful benefits for shoulder arthroplasty, but their impact may be domain-specific. XR education may substantially improve operative efficiency, while XR guidance may enhance the angular accuracy of glenoid guidewire placement without clearly changing entry point error.

Indexed as

Augmented realityExtended realityGlenoid guidewireImplant positioningMixed realityShoulder arthroplastySurgical educationVirtual reality

Identifiers

PMID42502475
PMCPMC13400657

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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.