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Record W2153313759 · doi:10.1302/0301-620x.86b8.14854

Impaction femoral allografting and cemented revision for periprosthetic femoral fractures

2004· article· en· W2153313759 on OpenAlexaboutno aff
Eleftherios Tsiridis, Amir Ali Narvani, Fares S. Haddad, J Timperley, Graham A. Gie

Bibliographic record

VenueJournal of Bone and Joint Surgery - British Volume · 2004
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsImpactionMedicinePeriprostheticSurgeryOdds ratioBone graftingConfidence intervalGraftingDentistryArthroplastyInternal medicine

Abstract

fetched live from OpenAlex

We reviewed retrospectively the outcome of the treatment by impaction grafting of periprosthetic femoral fractures around loose stems in 106 patients with Vancouver type-B2 and type-B3 fractures. Eighty-nine patients had a cemented revision with impaction grafting and a long or short stem. The remaining 17 had cemented revision without impaction grafting. Fractures treated by impaction grafting and a long stem were more than five times likely to unite than those treated by impaction grafting and a short stem (odds ratio = 5.5, 95% confidence interval (CI) 1.54 to 19.6; p = 0.009). Furthermore, those with impaction grafting and a long stem were significantly more likely to unite than those with a long stem without impaction grafting (odds ratio = 4.07, 95% CI 1.10 to 15.0; p = 0.035). There was also a trend towards a higher rate of union in those treated by impaction grafting than in those without (odds ratio = 2.69, 95% CI 0.86 to 8.45; p = 0.090). Impaction grafting is being increasingly widely used for the restoration of femoral bone stock. It can be successfully applied to periprosthetic femoral fractures but a long stem should be used to bypass the distal fracture line.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.641
Threshold uncertainty score0.482

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.020
GPT teacher head0.263
Teacher spread0.243 · 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

Citations87
Published2004
Admission routes1
Has abstractyes

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