Evidence map›Paper›PMID 34781977›Full record

ArticleJournal of orthopaedic surgery and research2021

Robotic arm-assisted total knee arthroplasty improves preoperative planning and intraoperative decision-making.

Xufeng Wan, Qiang Su, Duan Wang, Mingcheng Yuan, Yahao Lai, Hong Xu, Zongke Zhou

Abstract readCase Reports
In one paragraph

Article in Journal of orthopaedic surgery and research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

17 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

7 authors.

Xufeng Wan *Department of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China.
Qiang Su *Department of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China.
Duan Wang *Department of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China.
Mingcheng YuanDepartment of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China.
Yahao LaiDepartment of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China.
Hong XuDepartment of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China.
Zongke ZhouDepartment of Orthopedics, West China Hospital, Sichuan University, 37# Wuhou Guoxue Road, Chengdu, 610041, People's Republic of China. zhouzongke@scu.edu.cn.ORCID http://orcid.org/0000-0002-9037-4756

Funding

Sichuan Province Science and Technology Support Program No. 2021YFQ0028West China Hospital, Sichuan University 1.3.5 project
6 · The paper itself

Abstract

backgroundThe reliability of robotic arm-assisted total knee arthroplasty (RA-TKA) has been previously reported. In this study, we evaluated the predictive accuracy of the RA-TKA system in determining the required bone resection and implant size preoperatively and its effect on intraoperative decision-making.

methodsData on the outcomes of RA-TKA procedures performed in our department were prospectively collected. A three-dimensional model of the femur, tibia, and fibula was reconstructed using standard computed tomography (CT) images. The model was used preoperatively to predict bone required resection for the femur and tibia and implant size. Intraoperatively, the images were registered to the local anatomy to create a patient-specific model for decision-making, including real-time measurement of the medial-to-lateral difference in the extension/flexion gap and TKA component alignment. Differences between predicted and real bone resections and implant size were evaluated, and the post-TKA mechanical axis of the lower limb and difference in medial-to-lateral flexion/extension gap were measured.

resultsThe analysis was based on the data of 28 patients who underwent TKA to treat severe osteoarthritis. The RA-TKA system successfully predicted the femoral and tibial component within one implant size in 28/28 cases (100%). For the 168 bone resections performed, including both femoral and tibial cuts, the resection was within 1 mm of the predicted value in 120/168 (71%) of the cuts. The actual versus predicted bone resection was statistically different only for the lateral tibial plateau (p = 0.018). The medial-to-lateral gap difference was between - 1 and 1 mm, except in one case. The achieved lower limb alignment was accurate overall, with the alignment being within < 1.0° of the neutral mechanical axis in 13/28 cases (46%) and within < 3.0° in 28/28 cases (100%).

conclusionsThe RA-TKA system provided considerable pre- and intraoperative surgical assistance to achieve accurate bone resection, appropriate component sizing, and postoperative alignment after RA-TKA.

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisOsteoarthritis, KneeRobotic Surgical ProceduresFemurHumansKnee JointReproducibility of ResultsTibiaPreoperative TKA planningRobot-assisted surgeryTKA implant sizingTotal knee arthroplasty

Identifiers

PMID34781977
PMCPMC8591833

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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.