Evidence map›Paper›PMID 40821707›Full record

ArticleSurgery in practice and science2025

Postoperative anterior knee pain in robot assisted total knee arthroplasty: a propensity score matching analysis.

Jiajie Yan, Shuangshuang Deng, Qiuyan Chen, Ning Liu, Songwei Huan, Min Zheng, Jiamin Zhang, Yanyan Gao

Abstract read
In one paragraph

Article in Surgery in practice and science, 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

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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

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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

8 authors.

Jiajie YanBone joint and Sports Medical Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Shuangshuang DengNursing department, Guangdong shuidian hospital, Guangzhou, China.
Qiuyan ChenDepartment of orthopedics, Xinfeng people's Hospital, Jiangxi Province, China.
Ning LiuBone joint and Sports Medical Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Songwei HuanBone joint and Sports Medical Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Min ZhengEmergency department, Zhongshan Shenwan hospital, Guangzhou, China.
Jiamin ZhangBone joint and Sports Medical Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.
Yanyan GaoBone joint and Sports Medical Center, The First Affiliated Hospital of Jinan University, Guangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: Anterior knee pain (AKP) remains a prevalent complication following total knee arthroplasty (TKA), affecting 4-60 % of patients. While robot-assisted TKA (RA-TKA) has demonstrated superior precision in prosthesis alignment compared to conventional manual TKA in the medium- and long-term, its impact on postoperative AKP remains underexplored. This study aimed to evaluate the medium- and long-term effects of RA-TKA on AKP intensity, functional outcomes, and knee mobility compared to CM-TKA. Methods: In this retrospective cohort study, obese patients undergoing primary TKA for Kellgren-Lawrence grade 4 osteoarthritis between 2020 and 2023 were included. Propensity score matching balanced preoperative confounders, yielding 88 matched pairs (RA-TKA vs. CM-TKA). Outcomes included AKP intensity (Numeric Rating Scale, NRS), Knee Society Score (KSS), and active knee flexion/extension measured at 3, 6, 9, and 12 months postoperatively. Results: The RA-TKA group exhibited significantly lower AKP intensity at 3 months (17.5 ± 8.1 vs. 24.6 ± 10.7, Conclusion: RA-TKA demonstrated better short-term improvement in both AKP and knee functional capacity compared to standard total knee arthroplasty, and the improvements of knee flexion and extension are significant advantages. Although RA-TKA showed comparable long-term outcomes in knee function and AKP risk assessment to conventional surgery, its clinical significance lies in the critical early postoperative period when over 80 % of AKP events occur within the first 3 months.

Indexed as

Anterior knee painRecoveryRobot-assistedTotal knee arthroplasty

Identifiers

PMID40821707
PMCPMC12357315

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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.