Evidence map›Paper›PMID 42324442›Full record

ArticleJournal of robotic surgery2026

Mako robot-assisted unicompartmental knee arthroplasty mitigates the impact of surgeon handedness.

Shujun Chen, Xiao Huang, Lingjun Jiang, Zhongyi Chen, Jiayan Chen, Chenglong Wang

Abstract read
In one paragraph

Article in Journal of robotic surgery, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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3 · Its place in the literature

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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.

Shujun Chen *Department of Orthopaedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, 318000, P.R. China.
Xiao Huang *Department of Orthopaedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, 318000, P.R. China.
Lingjun Jiang *Department of Orthopaedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, 318000, P.R. China.
Zhongyi ChenDepartment of Orthopaedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, 318000, P.R. China. czy@enzemed.com.
Jiayan ChenDepartment of Orthopaedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, 318000, P.R. China. chenjy9772@enzemed.com.
Chenglong WangDepartment of Orthopaedics, Taizhou Hospital of Zhejiang Province affiliated to Wenzhou Medical University, Taizhou, Zhejiang, 318000, P.R. China. wangcl4779@enzemed.com.

Funding

Taizhou Science and Technology Plan 25ywb62Zhejiang Science and Technology Plan for Disease Prevention and Control 2026JKY312Zhejiang Science and Technology Plan of the Health Commission 2025HY1427
6 · The paper itself

Abstract

Conventional manual unicompartmental knee arthroplasty (CM-UKA) is technically demanding, and surgeon handedness may affect component alignment. Whether Mako robot-assisted UKA (MA-UKA) can mitigate this handedness effect remains unclear. A total of 391 patients undergoing medial UKA performed by five right‑handed surgeons were enrolled in this retrospective analysis. These individuals were allocated to four study arms. Perioperative outcomes, radiographic parameters and functional scores were compared. MA groups had longer operative time but similar tourniquet time, shorter hospital stay, and less blood loss than CM groups (all P<0.05). MA-left and MA-right showed no differences in any radiographic or functional parameters (P>0.05). In contrast, CM-left performed significantly worse than CM-right in terms of implant positioning accuracy (P<0.05). Functional outcomes were better in MA groups, with no side‑related differences. In CM‑UKA, the surgeon's hand dominance markedly influences component alignment precision, with inferior outcomes consistently appearing on the non‑dominant side. MA-UKA mitigates this handedness bias, achieving equally high accuracy on both sides, while also reducing blood loss, shortening hospital stay, and improving early functional recovery.

Indexed as

Arthroplasty, Replacement, KneeFunctional LateralityRobotic Surgical ProceduresSurgeonsAgedBlood Loss, SurgicalFemaleHumansLength of StayMaleMiddle AgedOperative TimeRetrospective StudiesTreatment OutcomeImplant positioning accuracyMako robotic-assisted surgerySurgeon handednessUnicompartmental knee arthroplasty

Identifiers

PMID42324442
PMCPMC13284023

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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.