Evidence map›Paper›PMID 41194797›Full record

ArticleRevista brasileira de ortopedia2025

Technological Innovation in Total Knee Arthroplasty: Navigation, Robotics, and Customization.

Marcus Vinicius Malheiros Luzo, Marcio de Castro Ferreira, Alexandre Barbieri Mestriner, Idemar Monteiro de Palma, Carlos Eduardo da Silveira Franciozi, Marcelo Seiji Kubota

Abstract read
In one paragraph

Article in Revista brasileira de ortopedia, 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

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

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

6 authors.

Marcus Vinicius Malheiros LuzoKnee Surgery Group, Department of Orthopedics and Traumatology, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.ORCID 0000-0003-1345-6915
Marcio de Castro FerreiraKnee Surgery Group, Department of Orthopedics and Traumatology, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Alexandre Barbieri MestrinerKnee Surgery Group, Department of Orthopedics and Traumatology, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Idemar Monteiro de PalmaKnee Surgery Group, Hospital Maradei, Belém, PA, Brazil.
Carlos Eduardo da Silveira FrancioziKnee Surgery Group, Department of Orthopedics and Traumatology, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.
Marcelo Seiji KubotaKnee Surgery Group, Department of Orthopedics and Traumatology, Escola Paulista de Medicina, Universidade Federal de São Paulo, São Paulo, SP, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Total knee arthroplasty (TKA) is the gold standard to treat degenerative knee joint conditions that do not improve with conservative treatment, and it yields excellent clinical and functional outcomes. However, a small proportion of patients report some dissatisfaction with their knees after surgery. Recently, TKA underwent significant technological development with the introduction of new biomechanical concepts and the incorporation of techniques to improve surgical procedures. Moreover, the evolution in implant designs optimized for the individual characteristics of the patients enables better surgical customization. The current article presents the concepts, advantages, and limitations to the development of customized implants, as well as TKA surgical techniques involving automation (robotics) and computer-assisted navigation. Although the medical literature showing promising outcomes with new TKA technologies is extensive, studies with longer follow-up and appropriate methodologies are required to contribute to the demonstration of advantages in knee arthroplasty outcomes.

Indexed as

arthroplasty, replacement, kneeosteoarthritis, kneeprostheses and implantsrobot surgery

Identifiers

PMID41194797
PMCPMC12585612

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.