Evidence map›Paper›PMID 41112128›Full record

ReviewClinics in orthopedic surgery2025

Advancing Precision in Shoulder Arthroplasty: Patient-Specific Instrumentation, Navigation, and Emerging Technologies.

Hyun Seok Song, Sang-Uk Lee, Hyungsuk Kim

Abstract readReview
In one paragraph

Review in Clinics in orthopedic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Hyun Seok SongDepartment of Orthopedic Surgery, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0002-7844-2293
Sang-Uk LeeDepartment of Orthopedic Surgery, Incheon St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0001-7177-2516
Hyungsuk KimDepartment of Orthopedic Surgery, Eunpyeong St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Korea.ORCID https://orcid.org/0000-0003-3400-0263

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The evolution of shoulder arthroplasty has seen transformative advancements to improve precision, minimize complications, and optimize functional outcomes. Patient-specific instrumentation and navigation systems are pivotal innovations that improve surgical accuracy and enable tailored approaches for complex anatomy. These tools also impact preoperative planning and decision-making, contributing to more efficient procedures and reduced intraoperative errors. Emerging technologies, including augmented reality, virtual reality, and robotic surgery, introduce novel opportunities for preoperative visualization, intraoperative guidance, and interactive training. These technologies demonstrate significant potential for improving guidewire placement accuracy, providing real-time procedural assistance, and transforming orthopedic education through immersive and efficient training platforms. While promising, these innovations require further research to validate their long-term efficacy and establish standardized protocols for broader clinical adoption. This review highlights current advancements and challenges, emphasizing the capability of these technologies to enhance patient care and advance shoulder arthroplasty.

Indexed as

Arthroplasty, Replacement, ShoulderShoulder JointSurgery, Computer-AssistedAugmented RealityHumansPrecision MedicineRobotic Surgical ProceduresVirtual RealityAugmented realityPatient-specific instrumentationRobotic-assisted surgeryShoulder replacement arthroplastySurgical navigation systems

Identifiers

PMID41112128
PMCPMC12531843

What OpenQuestion holds

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LicenceCC BY-NC
Read underepoch 390

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.