Evidence map›Paper›PMID 36691107›Full record

ArticleArthroplasty (London, England)2023

Robotic-assisted revision total knee arthroplasty: a novel surgical technique.

Hui-Ling Joanne Ngim, Dirk Van Bavel, Richard De Steiger, Andrew W W Tang

Abstract read
In one paragraph

Article in Arthroplasty (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 2 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

22 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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  3. Review
  4. Imageless robotic-assisted total knee revision arthroplasty.Operative Orthopadie und Traumatologie · 2026
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  19. Digital orthopedics in the new AI era: from ASIA aspect.Arthroplasty (London, England) · 2023
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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

4 authors.

Hui-Ling Joanne NgimEpworth Healthcare, Melbourne, 3121, Victoria, Australia. joannengim@hotmail.com.ORCID http://orcid.org/0000-0003-4328-7999
Dirk Van BavelEpworth Healthcare, Melbourne, 3121, Victoria, Australia.
Richard De SteigerEpworth Healthcare, Melbourne, 3121, Victoria, Australia.
Andrew W W TangEpworth Healthcare, Melbourne, 3121, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundRevision total knee arthroplasty is a challenging procedure. The robotic-assisted system has been shown to enhance the accuracy of preoperative planning and improve reproducibility in primary arthroplasty surgeries. The aim of this paper was to describe the surgical technique for robotic-assisted revision total knee arthroplasty and the potential benefits of this technique.

methodThis single-centre retrospective study included a total of 19 patients recruited from April 1, 2021 to April 30, 2022. Inclusion criteria were patients who had Mako™ robotic-assisted revision total knee arthroplasty done within the study period with a more than 6 months follow-up. Statistical analysis was done using Microsoft Excel 16.0.

resultsAll 19 patients were followed up for 6 to 18 months. All patients in this study had uneventful recoveries without needing any re-revision surgery when reviewed to date.

conclusionWith the development of dedicated revision total knee software, robot-assisted revision TKA can be a promising technique that may improve surgical outcomes by increasing the accuracy of implant placement, and soft tissue protection and achieving a better well-balanced knee.

Indexed as

Revision total knee arthroplastyRobotic surgerySurgical technique

Identifiers

PMID36691107
PMCPMC9872350

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