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Record W4417457264 · doi:10.1177/11207000251379369

Does the French Paradox cementing technique improve or compromise femoral stem stability? An in vitro cadaver study

2025· article· en· W4417457264 on OpenAlexafffund
Stefan A. St George, Yizhao Li, Alexander J Hoffer, Edward M. Vasarhelyi, Ryan Willing, Brent A. Lanting

Bibliographic record

VenueHip International · 2025
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsWestern UniversityLondon Health Sciences Centre
FundersNatural Sciences and Engineering Research Council of CanadaCanada Foundation for Innovation
KeywordsCadaverCadaveric spasmOrthopedic surgeryProsthesis designHip arthroplasty

Abstract

fetched live from OpenAlex

BACKGROUND: The French Paradox (FP) technique, characterised by line-to-line cementing, has recently been applied to polished tapered stems with favourable results despite the thin cement mantle created. However, it contravenes the minimum 2-mm cement mantle described in the standard (STD) cementing technique. AIM: This experimental study aimed to compare the FP and STD cementing techniques by comparing the cement mantle thickness, micromotion, and alignment of a polished tapered stem under clinically relevant loads. METHODS: Stems were implanted into 4 pairs of human cadaveric hips. Femurs within each pair were randomly allocated to receive either the STD or FP technique. 5 linear variable displacement transducers (LVDTs) were used to measure the real-time motion of the stem relative to the femur. The specimens were mounted onto a joint motion simulator and cyclically loaded with axial compression (0-1,600 N) and internal torsion (0-15 Nm). RESULTS: No significant differences were found in permanent migration, initial and long-term inducible motion, or stem alignment between techniques. The FP technique resulted in a thinner cement mantle (∆1.0 ± 0.2 mm). The mean permanent migration was below 20 μm, and inducible motions were below 100 μm for both techniques. CONCLUSIONS: Both FP and STD cementing techniques resulted in well-fixed stems with low migration and inducible motion.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.067
Threshold uncertainty score0.389

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.027
GPT teacher head0.307
Teacher spread0.281 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2025
Admission routes2
Has abstractyes

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