Evidence map›Paper›PMID 41141282›Full record

ArticleFrontiers in bioengineering and biotechnology2025

Optimising tibial extension stem selection in total knee arthroplasty: the role of digital modelling.

Mathieu Severyns, François Zot, Marc Gardegaront, Arnaud Germaneau, Tanguy Vendeuvre

Abstract read
In one paragraph

Article in Frontiers in bioengineering and biotechnology, 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

5 authors.

Mathieu SeverynsUniversité de Poitiers, Institut Pprime UPR 3346 CNRS, CHU de Poitiers, Service Chirurgie Orthopédique et Traumatologique, Poitiers, France.
François ZotUniversité de Poitiers, Institut Pprime UPR 3346 CNRS, CHU de Poitiers, Service Chirurgie Orthopédique et Traumatologique, Poitiers, France.
Marc GardegarontUniv Lyon, Univ Eiffel, Univ Claude Bernard Lyon 1, LBMC UMR, Lyon, France.
Arnaud GermaneauUniversité de Poitiers, Institut Pprime UPR 3346 CNRS, CHU de Poitiers, Service Chirurgie Orthopédique et Traumatologique, Poitiers, France.
Tanguy VendeuvreUniversité de Poitiers, Institut Pprime UPR 3346 CNRS, CHU de Poitiers, Service Chirurgie Orthopédique et Traumatologique, Poitiers, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study explores the biomechanical impact of tibial extension stems in total knee arthroplasty using finite element digital modelling. The objective is to enhance stem selection by assessing stress and strain distribution in periprosthetic bone under varied loading scenarios. Methods: Six patient-specific FE models were created, each with different stem dimensions, to evaluate how stem geometry affects implant stability and fracture risk. Results: Extension stems reduce strain under the tibial baseplate but increase stress and fracture risk in the surrounding bone, particularly at the stem tip. Larger stem diameters were linked to higher fracture risks due to increased press-fit contact. Conclusion: These findings are consistent with previous research emphasizing the importance of stem design in achieving a balance between implant stability and bone preservation. The study offers a biomechanical foundation for surgical planning, potentially improving TKA durability and functional outcomes. Incorporating these insights into clinical practice may enhance the longevity of knee replacements and overall patient quality of life.

Indexed as

biomechanicsextension stemfinite element analysispatient specifictotal knee arthroplasty

Identifiers

PMID41141282
PMCPMC12550775

What OpenQuestion holds

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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.