Evidence map›Paper›PMID 40481040›Full record

ArticleScientific reports2025

Femoral strength after cephalomedullary nail removal can be predicted preoperatively using CT based FE models.

Alexander Synek, Gilbert M Schwarz, Andreas G Reisinger, Stephanie Huber, Sylvia Nürnberger, Lena Hirtler, Jochen G Hofstaetter, Dieter H Pahr

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 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. Importance of Metastatic Lesion Location and Subject-Specificity in the Determination of Femoral Fracture Risk.International journal for numerical methods in biomedical engineering · 2026
    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

8 authors.

Alexander SynekInstitute of Lightweight Design and Structural Biomechanics (E317), TU Wien, Gumpendorfer Straße 7, Vienna, Austria. asynek@ilsb.tuwien.ac.at.
Gilbert M SchwarzDivision of Trauma-Surgery, Department of Orthopedics and Trauma-Surgery, Medical University of Vienna, Vienna, Austria.
Andreas G ReisingerInstitute of Lightweight Design and Structural Biomechanics (E317), TU Wien, Gumpendorfer Straße 7, Vienna, Austria.
Stephanie HuberMichael-Ogon-Laboratory for Orthopaedic Research, Orthopedic Hospital Vienna Speising, Vienna, Austria.
Sylvia NürnbergerDivision of Trauma-Surgery, Department of Orthopedics and Trauma-Surgery, Medical University of Vienna, Vienna, Austria.
Lena HirtlerCenter for Anatomy and Cell Biology, Medical University of Vienna, Vienna, Austria.
Jochen G HofstaetterMichael-Ogon-Laboratory for Orthopaedic Research, Orthopedic Hospital Vienna Speising, Vienna, Austria.
Dieter H PahrInstitute of Lightweight Design and Structural Biomechanics (E317), TU Wien, Gumpendorfer Straße 7, Vienna, Austria.

Funding

Medical Scientific Fund of the Major of the City of Vienna MA 40-GMWF-21072Scientific Research Grant from DePuy Synthes, Johnson and Johnson 8205 (213871)
6 · The paper itself

Abstract

Removals of cephalomedullary nails (CMNs) after healed pertrochanteric femur fractures are sometimes requested by patients or medically indicated due to pain or screw cut-out. However, CMN removal carries a high risk of secondary femoral neck fracture, even in the absence of trauma. Consequently, decisions on nail removal and establishing a safe post-operative loading regimen can be challenging. This study investigated if finite element (FE) models can pre-operatively predict femoral strength after CMN removal to support these clinical decisions. Nine proximal femora of body donors who were treated with a CMN during their lifetime were included. Computed tomography (CT) scans were acquired with the CMN still in place, followed by virtual implant removal using image processing. Based on this scan, non-linear voxel-based FE models were created and femoral strength was predicted for a one-legged stance configuration. For validation, the CMNs were physically removed and femoral strength was assessed in a material testing machine. The FE models predicted the femoral strength accurately relative to the experiments (R

Indexed as

Bone NailsDevice RemovalFemurFracture Fixation, IntramedullaryTomography, X-Ray ComputedAgedBiomechanical PhenomenaFemaleFinite Element AnalysisHumansMaleMiddle AgedCephalomedullary nailFemurFinite elementFracture riskImplant removal

Identifiers

PMID40481040
PMCPMC12144080

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.