Evidence map›Paper›PMID 34040804›Full record

ReviewEFORT open reviews2021

The current state of robotics in total knee arthroplasty.

Jean-Pierre St Mart, En Lin Goh

Registry-linked trialAbstract readReview
In one paragraph

Review in EFORT open reviews, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06969222 (A Prospective Clinical Investigation of Robotic-assisted TKA), which is not on this map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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.

NCT06969222 narecruitingnot on this mapstarted 2023, after this paper: background citation

A Prospective Clinical Investigation of Robotic-assisted TKA (RA-TKA) With Skywalker and Evolution Medial Pivot Knee (eMP Knee)

TypeinterventionalSponsorOrthopaedic Department of General University Hospital of LariaRan2023 to 2026Enrolled122ConditionsKnee Arthropathy, Arthroplasty Complications, Robotic Assisted Arthroplasty, TKA OutcomesArmsRobotic TKA, Conventional TKA
3 · Its place in the literature

Who cites it

64 citing papers in PubMed.

  1. Trial
  2. [A multicenter randomized controlled trial of domestic robot-assisted and conventional total knee arthroplasty].Zhongguo xiu fu chong jian wai ke za zhi = Zhongguo xiufu chongjian waike zazhi = Chinese journal of reparative and reconstructive surgery · 2023
    Trial
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4 more citing papers are in PubMed but not listed here.

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

2 authors.

Jean-Pierre St MartDepartment of Trauma and Orthopaedics, King's College Hospital, London, UK.ORCID https://orcid.org/0000-0002-9243-0029
En Lin GohOxford University Clinical Academic Graduate School, Medical Sciences Division, University of Oxford, Oxford, UK.ORCID https://orcid.org/0000-0002-0331-1803

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic total knee arthroplasty (TKA) has demonstrated improved component positioning and a reduction of alignment outliers with regard to pre-operative planning.Early robotic TKA technologies were mainly active systems associated with significant technical and surgical complications.Current robotic TKA systems are predominantly semi-active with additional haptic feedback which minimizes iatrogenic soft tissue injury compared to conventional arthroplasty and older systems.Semi-active systems demonstrate advantages in terms of early functional recovery and hospital discharge compared to conventional arthroplasty.Limitations with current robotic technology include high upfront costs, learning curves and lack of long-term outcomes.The short-term gains and greater technical reliability associated with current systems may justify the ongoing investment in robotic technology.Further long-term data are required to fully ascertain the cost-effectiveness of newer robotic systems. Cite this article:

Indexed as

complicationsoutcomesrobotic-assistedtotal knee arthroplasty

Identifiers

PMID34040804
PMCPMC8142057

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Registered trials

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.