Evidence map›Paper›PMID 35495740›Full record

ArticleFrontiers in surgery2022

Mixed Reality Technology in Total Knee Arthroplasty: An Updated Review With a Preliminary Case Report.

Shilong Su, Pengfei Lei, Chenggong Wang, Fawei Gao, Da Zhong, Yihe Hu

Abstract readCase Reports
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in surgery, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–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

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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  8. Usefulness of Mixed Reality in Surgical Treatment: Delphi Study.Journal of medical Internet research · 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

6 authors.

Shilong SuDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, China.
Pengfei LeiDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, China.
Chenggong WangDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, China.
Fawei GaoDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, China.
Da ZhongDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, China.
Yihe HuDepartment of Orthopedics, Xiangya Hospital, Central South University, Changsha, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Augmented reality and mixed reality have been used to help surgeons perform complex surgeries. With the development of technology, mixed reality (MR) technology has been used to improve the success rate of complex hip arthroplasty due to its unique advantages. At present, there are few reports on the application of MR technology in total knee arthroplasty. We presented a case of total knee arthroplasty with the help of mixed reality technology. Case Presentation: We presented a case of a 71-year-old woman who was diagnosed with bilateral knee osteoarthritis with varus deformity, especially on the right side. After admission, the right total knee arthroplasty was performed with the assistance of MR technology. Before the operation, the three-dimensional virtual model of the knee joint of the patient was reconstructed for condition analysis, operation plan formulation, and operation simulation. During the operation, the three-dimensional virtual images of the femur and tibia coincided with the real body of the patient, showing the osteotomy plane designed before the operation, which can accurately guide the completion of osteotomy and prosthesis implantation. Conclusions: As far as we know, this is the first report on total knee arthroplasty under the guidance of mixed reality technology.

Indexed as

augmented realitycase reportmixed realitynavigationtotal knee arthroplasty

Identifiers

PMID35495740
PMCPMC9053587

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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.