Evidence map›Paper›PMID 42199871›Full record

ArticleActa ortopedica brasileira2026

UTILIZATION OF ROBOTIC ARM ASSISTANCE FOR REVISION OF PARTIAL TO TOTAL KNEE ARTHROPLASTY: A CASE REPORT.

Eduardo Frois Temponi, Felipe Santiago de Almeida, Lúcio Honório de Carvalho, Matheus Braga Jacques Gonçalves, Ricardo Leão Carmo, Vitor Rodrigues Miranda

Abstract read
In one paragraph

Article in Acta ortopedica brasileira, 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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0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Eduardo Frois TemponiHospital Madre Teresa, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0002-3002-9870
Felipe Santiago de AlmeidaHospital Madre Teresa, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0002-5710-2388
Lúcio Honório de CarvalhoHospital Madre Teresa, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0003-2683-6386
Matheus Braga Jacques GonçalvesHospital Madre Teresa, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0009-0008-3705-958X
Ricardo Leão CarmoHospital Madre Teresa, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0002-2340-8434
Vitor Rodrigues MirandaHospital Madre Teresa, Belo Horizonte, MG, Brazil.ORCID https://orcid.org/0000-0001-6346-9154

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: The introduction of robotic-assisted total knee and hip arthroplasty in Brazil since 2021 has demonstrated benefits, including greater precision in bone cuts and reduced tissue trauma. However, there is a lack of studies on the use of this technology in TKA revisions. This report presents the first robot-assisted TKA performed in Brazil, representing an innovative and pioneering approach. Case report: A 61-year-old female patient presenting with pain and limited flexion in her left knee, who underwent unicompartmental knee arthroplasty (UKA) in 2015. After conservative treatment with physical therapy and injections proved ineffective, it was decided to proceed with robot-assisted total knee arthroplasty. The procedure followed the Mako protocol, which included robotic anatomical marking, removal of the previous components, and ligament adjustments. Precise bone cuts were made using the robotic arm, followed by the cementation of prosthetic components. The surgery went smoothly, with a favorable postoperative course. Conclusion: The use of robotic assistance in revision anterior cruciate ligament surgery has proven promising, yielding good postoperative results. However, further studies are needed to standardize the technique and establish specific protocols.

Indexed as

Arthroplasty, Partial KneeArthroplasty, Total KneeReviewRobotics

Identifiers

PMID42199871
PMCPMC13200849

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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.