Evidence map›Paper›PMID 39961906›Full record

ReviewOrthopadie (Heidelberg, Germany)2025

[New technologies in total knee arthroplasty : Current concepts and personalized treatment strategies].

Ricarda Stauss, Peter Savov, Max Ettinger

Abstract readEnglish AbstractReview
PubMed Publisher
In one paragraph

Review in Orthopadie (Heidelberg, Germany), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

3 authors.

Ricarda StaussUniversitätsklinik für Orthopädie im Pius Hospital, Carl von Ossietzky Universität Oldenburg, Georgstraße 12, 26121, Oldenburg, Deutschland. ricarda.stauss@uni-oldenburg.de.
Peter SavovUniversitätsklinik für Orthopädie im Pius Hospital, Carl von Ossietzky Universität Oldenburg, Georgstraße 12, 26121, Oldenburg, Deutschland.
Max EttingerUniversitätsklinik für Orthopädie im Pius Hospital, Carl von Ossietzky Universität Oldenburg, Georgstraße 12, 26121, Oldenburg, Deutschland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn total knee arthroplasty (TKA), there is a trend towards personalized concepts. This includes the implementation of new technologies and the increasing popularity of individualized alignment strategies. TARGETS: The purpose of personalized TKA is to restore the patient's bony anatomy and constitutional alignment, as well as the physiological soft tissue balance and joint kinematics. Modern technologies facilitate a thorough, three-dimensional analysis of the bony structures and the patient's constitutional alignment. Virtual planning enables a simulation component placement, gap balancing and postoperative alignment. After approval of the surgical plan, the technology-aided execution shows a greater accuracy, precision and reproducibility of implant alignment compared to conventional manual instrumentation. OVERVIEW: This article focuses on novel technologies in total knee arthroplasty, including patient-specific instrumentation (PSI), custom implants, navigation and robotics. The purpose of this article is to summarize current evidence, including radiological and functional outcomes, as well as economic aspects. Furthermore, the implementation of novel technologies in the context of personalized alignment strategies will be discussed.

Indexed as

Arthroplasty, Replacement, KneePrecision MedicineSurgery, Computer-AssistedBiomechanical PhenomenaHumansImaging, Three-DimensionalKnee ProsthesisProsthesis DesignRobotic Surgical ProceduresIndividualized alignmentPatient specific instrumentationPersonalized medicineRoboticsTotal knee replacement

Identifiers

What OpenQuestion holds

Textmetadata
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.