Evidence map›Paper›PMID 41063630›Full record

ArticleJournal of orthopaedic research : official publication of the Orthopaedic Research Society2026

The Importance of Modeling Press-Fit to Accurately Evaluate Interfacial Micromotion as an Indicator of Primary Stability in Uncemented Arthroplasty.

Joshua E Johnson, Nico Verdonschot, Dennis Janssen, Donald D Anderson

Abstract read
In one paragraph

Article in Journal of orthopaedic research : official publication of the Orthopaedic Research Society, 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
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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

4 authors.

Joshua E JohnsonDepartment of Orthopedics and Rehabilitation, The University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-8049-4105
Nico VerdonschotOrthopaedic Research Laboratory, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.
Dennis JanssenOrthopaedic Research Laboratory, Radboud University Medical Center, Radboud Institute for Health Sciences, Nijmegen, the Netherlands.
Donald D AndersonDepartment of Orthopedics and Rehabilitation, The University of Iowa, Iowa City, Iowa, USA.ORCID 0000-0002-1640-6107

Funding

Joshua E. Johnson and Donald D. Anderson: funding provided by Paragon 28, as were the patient CT scans and implant geometries.
6 · The paper itself

Abstract

Arthroplasty is most often performed to alleviate pain and restore function in patients with end-stage degenerative joint disease. Uncemented implant fixation is increasingly used in total knee and total ankle arthroplasty. Implantation using interference press-fit is a manufacturer-recommended guideline for achieving stable primary fixation in uncemented applications, which is important to prevent long-term implant failure due to aseptic loosening. However, when evaluating implant-bone interfacial mechanics, many studies have not modeled press-fit implantation. This can lead to gross underestimation of primary implant fixation stability, limiting the clinical applicability of findings. The goal of this paper is to highlight the importance of simulating press-fit implantation when evaluating primary orthopedic implant stability using finite element analysis in uncemented arthroplasty. Experiences gained in modeling press-fit implantation in total knee and total ankle arthroplasty by two different active research groups are shared in this context.

Indexed as

Arthroplasty, Replacement, AnkleArthroplasty, Replacement, KneeFinite Element AnalysisHumansinterfacial micromotionsinterference press‐fitplastic bone deformationprimary implant stabilityuncemented arthroplasty

Identifiers

PMID41063630
PMCPMC12862519

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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.