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Record W1994318865 · doi:10.5301/hipint.5000155

Periprosthetic Femoral Fractures in Total Hip Arthroplasty

2014· review· en· W1994318865 on OpenAlexaff
Nicholas E. Ohly, Michael R. Whitehouse, Clivе P. Duncan

Bibliographic record

VenueHip International · 2014
Typereview
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsUniversity of British Columbia
FundersNational Institute for Health and Care Research
KeywordsPeriprostheticMedicineTotal hip arthroplastySurgeryOsteolysisArthroplastyIncidence (geometry)EpidemiologyHip arthroplastyTotal hip replacementInternal medicine

Abstract

fetched live from OpenAlex

Periprosthetic fractures in total hip arthroplasty (THA) are a significant problem facing hip surgeons, and were responsible for revision surgery in 9% of single stage revision THAs recorded in the National Joint Registry of England and Wales (NJR) in 2012; the 5th most common cause after aseptic loosening, osteolysis, pain and dislocation. The incidence has increased along with the number of THAs performed. Implants and techniques of THA continue to evolve, surgical indications are expanding and the number performed annually continues to rise. Furthermore, patients are undergoing THA earlier and living longer, leading to a rise in the average number of years at risk for periprosthetic fracture. In this review we will discuss the epidemiology of femoral periprosthetic fractures, their prevention, classification and the evidence base for their treatment.

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), Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.994
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 integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.029
GPT teacher head0.339
Teacher spread0.310 · 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; both teacher heads agree on what is shown here.

Study designOther design
Domainnot available
GenreReview

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

Citations33
Published2014
Admission routes1
Has abstractyes

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