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Record W1780997695

Periprosthetic fractures of the femur associated with hip arthroplasty

2011· article· en· W1780997695 on OpenAlexaboutno aff
DJ van der Spuy, H. de Jongh

Bibliographic record

VenueThe South African Orthopaedic Journal (SAOJ) · 2011
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineSurgeryGreater trochanterArthroplastyFemurHip arthroplastyComplication
DOInot available

Abstract

fetched live from OpenAlex

Periprosthetic fractures following total hip or knee arthroplasty have become more common as the indications and age distribution for these procedures have increased in the last few years. Revision surgery in these patients holds a very high complication rate and therefore measures should be taken to prevent these fractures. Osteolysis with subsequent component loosening has been shown to pose a risk for periprosthetic fractures. Regular follow-up visits could reveal early signs and symptoms of component loosening. Patients who develop loosening should be revised as soon as possible to prevent periprosthetic fractures. The Vancouver classification (intraand post-operative) for periprosthetic fractures associated with total hip replacement has been shown to be reproducible and an excellent guideline for management. Revision surgery for periprosthetic fractures carries a significant risk for complications. This review and instructional article will focus mainly on periprosthetic fractures in hip arthroplasty, although some risk factors and biomechanical considerations are also applicable for periprosthetic fractures of the femur in knee arthroplasty. Greater trochanteric fractures can present intra-operatively or post-operatively. Non-unions of the greater trochanter commonly presents many years down the line in patients where the surgical approach was done through greater trochanteric osteotomy, and are generally difficult to treat. This review will cover some aspects on the fixation methods of these fractures. Finally the hardware and surgical adjuncts to treat periprosthetic fractures will be discussed briefly. The more common fracture patterns (type B2) and the problematic (type B3) will be discussed in more detail.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.069
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.020
GPT teacher head0.225
Teacher spread0.205 · 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

Citations1
Published2011
Admission routes1
Has abstractyes

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