Evidence map›Paper›PMID 40486810›Full record

ReviewJSES international2025

What information does the surgeon need before using software to plan a total shoulder arthroplasty? An international perspective.

Justine Barbier, Olivier Verborgt, Joseph P Iannotti, Philippe Collin, Matthias A Zumstein

Abstract readReview
In one paragraph

Review in JSES international, 2025. 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

5 authors.

Justine BarbierDepartment of Orthopaedic Surgery, St Vincentius Hospital Deinze, Belgium.
Olivier VerborgtDepartment of Orthopaedic Surgery, St Vincentius Hospital Deinze, Belgium.
Joseph P IannottiDepartment of Orthopaedic Surgery, Cleveland Clinic, Weston, FL, USA.
Philippe CollinDepartment of Orthopedic Surgery, CHP Saint-Gregoire, Saint-Grégoire, France.
Matthias A ZumsteinShoulder, Elbow and Orthopaedic Sports Medicine, Sonnenhof Orthopaedics, Bern, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shoulder arthroplasty is a surgical procedure that is increasingly being used to treat patients with shoulder joint disorders, such as osteoarthritis and rotator cuff tears. Preoperative planning and the accurate transfer of this plan to the surgical procedure are critical for the success of the surgery. Three-dimensional (3D) preoperative planning software that assists with arthroplasty requires some basic surgical planning steps. These steps include segmentation of the bones, defining anatomic landmarks, 3D templating, and positioning of the planned implant. Surgical planning is thereby influenced by the surgeon's preferred implant and surgical technique, which is influenced by the bone and soft tissue pathology. Only the bone pathology is defined within the 3D preoperative planning software and in some software the premorbid patient-specific normal anatomy is defined. Each software utilizes its specific methods. These 3D preoperative planning software programs have generally been found to improve the accuracy of preoperative planning and the execution of implant positioning. However, it is important for shoulder surgeons to be aware that these systems are not all comparable, have their limitations and potential pitfalls, and therefore can potentially introduce errors into the surgical procedure.

Indexed as

Augmented realityMixed realityNavigationPatient-specific instrumentation (PSI)PlanningSegmentationShoulder arthroplastySoftware systems

Identifiers

PMID40486810
PMCPMC12144963

What OpenQuestion holds

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LicenceCC BY-NC-ND
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Registered trials

None linked

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.