Evidence map›Paper›PMID 40959040›Full record

ArticleJSES international2025

Augmented reality significantly reduces the absolute error between achieved and planned inclination and version of the glenoid baseplate for reversed shoulder arthroplasty.

Franck Dordain, Geoffroy Nourrissat, Floris van Rooij, Mathieu Ferrand, Eric Petroff, Maxime Antoni

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Article in JSES international, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

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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

6 authors.

Franck DordainHopital Privé Saint Martin, Ramsay Santé, Caen, France.
Geoffroy NourrissatClinique des Maussins, Paris, France.
Floris van RooijReSurg SA, Nyon, Switzerland.
Mathieu FerrandInstitut Locomoteur de l'Ouest, CHP St Grégoire, St Grégoire, France.
Eric PetroffClinique de Flandres, Coudekerque, France.
Maxime AntoniClinique de l'Orangerie, Strasbourg, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: To determine whether using augmented reality with a head-mounted display (AR-HMD) would reduce deviations between planned and achieved reverse total shoulder arthroplasty (rTSA) glenoid baseplate inclination and version. Methods: Ten fresh frozen shoulders from 5 human cadavers, which were free from fractures or other bony pathologies were used. Computed tomography scans were acquired for each shoulder, and imported into image 3-dimensional processing software to plan rTSA, and notably to define the target inclination and version of the glenoid baseplate. Two experienced surgeons placed a 1.6-mm Kirschner wire on the glenoid baseplate insertion site in each shoulder (5 per surgeon) using conventional instruments, and the AR-HMD was used to measure the inclination, version, in addition to the number of outliers. Afterward, using the AR-HMD (Pixee Medical, Besançon, France) the surgeons drilled and inserted the Kirschner wire for the glenoid baseplate positioning, and computed tomography was used to measure the inclination, version, and number of outliers. Results: Absolute deviations between planned and achieved inclination were significantly smaller when using AR-HMD (0.9° ± 1.6°, range 0°-5°) than without AR-HMD (5.1°± 3.7°, range 0°-10°) ( Conclusion: AR-HMD significantly reduces the absolute error between achieved and planned inclination and version of the glenoid baseplate during rTSA, though further studies are required to confirm the benefits of this technology in clinical settings.

Indexed as

Augmented realityGlenoid baseplateGuidewireHead-mounted displayInclinationShoulder arthroplastyVersion

Identifiers

PMID40959040
PMCPMC12434997

What OpenQuestion holds

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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.