Evidence map›Paper›PMID 40694123›Full record

ArticleOrthopadie (Heidelberg, Germany)2025

[Patient-specific instrumentation in total knee arthroplasty - current concepts and clinical implications].

Ricarda Stauss, Peter Savov, Hendrik Pott, Max Ettinger

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In one paragraph

Article in Orthopadie (Heidelberg, Germany), 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

4 authors.

Ricarda StaussUniversitätsklinik für Orthopädie, Pius Hospital Oldenburg, Carl von Ossietzky Universität Oldenburg, Georgstraße 12, 26121, Oldenburg, Deutschland. ricarda.stauss@uni-oldenburg.de.
Peter SavovUniversitätsklinik für Orthopädie, Pius Hospital Oldenburg, Carl von Ossietzky Universität Oldenburg, Georgstraße 12, 26121, Oldenburg, Deutschland.
Hendrik PottUniversitätsklinik für Orthopädie, Pius Hospital Oldenburg, Carl von Ossietzky Universität Oldenburg, Georgstraße 12, 26121, Oldenburg, Deutschland.
Max EttingerUniversitätsklinik für Orthopädie, Pius Hospital Oldenburg, 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, and the implementation of innovative technologies is crucial for the precise execution of modern alignment strategies. PATIENT-SPECIFIC INSTRUMENTATION: Patient-specific instrumentation (PSI) enables a detailed preoperative analysis of the patient's bony anatomy, and optimal component placement is determined in the virtual implant planning stage. PSI-guided execution of the surgical plan enables an improved precision and reproducibility of the surgical results. Despite the use of 3D-printed cutting guide instruments in standard TKA cases, PSI is increasingly being used in surgically complex cases that require an individualized surgical plan. CURRENT SITUATION OF STUDIES: With the increasing utilization of modern technologies in TKA and the expansion of the indications for PSI-TKA to complex cases, a thorough understanding of the potential benefits and limitations of this technology is crucial to determine the cases that will benefit most from the procedure. Therefore, the purpose of this article is to provide an overview on the current evidence and clinical implications of PSI-guided TKA.

Indexed as

Arthroplasty, Replacement, KneeKnee ProsthesisPrecision MedicineSurgery, Computer-AssistedHumansPrinting, Three-DimensionalProsthesis Design3D-printingIndividual alignment strategiesPatient-specific implantsSurgical case complexityTotal knee replacement

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Registered trials

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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.