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Biomechanical study of improved memory alloy embracing fixators in treatment of periprosthetic femoral fracture due to hip arthroplasty

2015· article· en· W3029455473 on OpenAlexaboutno aff
Qiang Sun, Yao Lu, Hongxun Wang

Bibliographic record

VenueZhonghua chuangshang zazhi · 2015
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineArthroplastySurgeryReduction (mathematics)FemurOrthodontics

Abstract

fetched live from OpenAlex

Objective To study the mechanics of improved memory alloy fixators for salvage of periprosthetic femoral fracture (PFF) after hip arthroplasty in the elderly. Methods Thirty countrymen fresh cadaveric femurs with no pathological defect, fracture, deformity or tumor were randomly divided into experimental group and control group with 15 femurs in each according to the random number table. A model of Vancouver type B1 periprosthetic femoral fracture following hip arthroplasty was induced. The fracture was treated with modified memory alloy embracing fixators in experimental group; instead general memory alloy embracing fixators in control group. All specimens were tested biomechanically. Results Under the same mechanical loading, the two groups showed respective 30% and 48% maximum differences in stress value and displacement. Results in three-point bending test did not differ significantly between the two groups (P>0.05), but there were significant differences in axial compression and torsion test (P<0.05 or 0.01). Conclusion The improved memory alloy embracing fixators present better resistance to compression and torsion compared to the general fixators. Key words: Internal fixators; Arthroplasty, replacement, hip; Periprosthetic fractures; Memory, alloy

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.246
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.031
GPT teacher head0.287
Teacher spread0.256 · 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.

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
Published2015
Admission routes1
Has abstractyes

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