Evidence map›Paper›PMID 41705383›Full record

ArticleKnee surgery, sports traumatology, arthroscopy : official journal of the ESSKA2026

Robotics in revision knee arthroplasty: Solution, support tool or new source of complexity?

Roland Becker, Max Ettinger, Michael T Hirschmann, Michael Salzmann, Antonia F Chen

Abstract readEditorial
PubMed Full text at PMC Publisher
In one paragraph

Article in Knee surgery, sports traumatology, arthroscopy : official journal of the ESSKA, 2026. 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

5 authors.

Roland BeckerDepartment of Orthopaedic Surgery, Traumatology and Plastic Surgery, University Hospital of Brandenburg an der Havel, Brandenburg an der Havel, Germany.ORCID https://orcid.org/0000-0003-1833-7608
Max EttingerDepartment of Orthopaedic and Traumatology, University of Oldenburg, Oldenburg, Germany.
Michael T HirschmannUniversity Department of Orthopaedic Surgery and Traumatology, Kantonsspital Baselland, Liestal, Switzerland.
Michael SalzmannDepartment of Orthopaedic Surgery, Traumatology and Plastic Surgery, University Hospital of Brandenburg an der Havel, Brandenburg an der Havel, Germany.
Antonia F ChenDepartment of Orthopaedics, University of Texas Southwestern, Dallas, Texas, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robotic-assisted knee arthroplasty has gained popularity throughout the globe due to high accuracy of three-dimensional component placement. The next step in the utilization of robotic-assisted knee arthroplasty is its application in revision surgery or in complex primary cases with bony defects. This will be a challenge because bony defects and/or component malposition need to be taken into account when planning to achieve good outcomes. Three-dimensional planning can be utilized for appropriate component placement, while considering the placement of revision components, spacers, cones/sleeves and intramedullary stems. Improvement in surgical planning prior and during surgery using robotic assistance can help surgeons significantly during revision total knee arthroplasty procedures.

Indexed as

Arthroplasty, Replacement, KneeRobotic Surgical ProceduresHumansKnee ProsthesisReoperationknee arthroplastyknee replacementrevisionrobotic‐assisted surgery

Identifiers

PMID41705383
PMCPMC13418422

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.