Evidence map›Paper›PMID 37088879›Full record

ArticleClinics in shoulder and elbow2023

Mixed reality visualization in shoulder arthroplasty: is it better than traditional preoperative planning software?

Sejla Abdic, Nicholas J Van Osch, Daniel G Langohr, James A Johnson, George S Athwal

Open access · diamondAbstract read
In one paragraph

Article in Clinics in shoulder and elbow, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
6.4field-weighted citation impact, top 3% of its field
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

11 citing papers in PubMed, 20 citations in OpenAlex.

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  9. Current trends in shoulder arthroplasty - Are the trends backed by evidence?Journal of clinical orthopaedics and trauma · 2025
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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

5 authors at 1 institution in 1 country.

Sejla AbdicThe Roth McFarlane Hand and Upper Limb Centre, St. Joseph's Hospital, London, ON, Canada.
Nicholas J Van OschThe Roth McFarlane Hand and Upper Limb Centre, St. Joseph's Hospital, London, ON, Canada.
Daniel G LangohrThe Roth McFarlane Hand and Upper Limb Centre, St. Joseph's Hospital, London, ON, Canada.
James A JohnsonThe Roth McFarlane Hand and Upper Limb Centre, St. Joseph's Hospital, London, ON, Canada.
George S AthwalThe Roth McFarlane Hand and Upper Limb Centre, St. Joseph's Hospital, London, ON, Canada.
Western University · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPreoperative traditional software planning (TSP) is a method used to assist surgeons with implant selection and glenoid guide-pin insertion in shoulder arthroplasty. Mixed-Reality (MR) is a new technology that uses digital holograms of the preoperative plan and guide-pin trajectory projected into the operative field. The purpose of this study was to compare TSP to MR in a simulated surgical environment involving insertion of guide-pins into models of severely deformed glenoids.

methodsEight surgeons inserted guide-pins into eight randomized three-dimensional-printed severely eroded glenoid models in a simulated surgical environment using either TSP or MR. In total, 128 glenoid models were used and statistically compared. The outcomes compared between techniques included procedural time, difference in guide-pin start point, difference in version and inclination, and surgeon confidence via a confidence rating scale.

resultsWhen comparing traditional preoperative software planning to MR visualization as techniques to assist surgeons in glenoid guide pin insertion, there were no statistically significant differences in terms of mean procedure time (P=0.634), glenoid start-point (TSP = 2.2 ± 0.2 mm , MR = 2.1 ± 0.1 mm; P=0.760), guide-pin orientation (P=0.586), or confidence rating score (P=0.850).

conclusionsThe results demonstrate that there were no significant differences between traditional preoperative software planning and MR visualization for guide-pin placement into models of eroded glenoids. A perceived benefit of MR is the real-time intraoperative visibility of the surgical plan and the patient's anatomy; however, this did not translate into decreased procedural time or improved guide-pin position. Level of evidence: Basic Science Study; Biomechanics.

Indexed as

Augmented realityCuff tear arthropathyDeformed glenoidOsteoarthritisPresurgical planningReverse arthroplastyShoulder arthroplasty

Identifiers

PMID37088879
PMCPMC10277716
OpenAlexW4366821769

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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.