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Record W4242377847 · doi:10.1177/112070000801800303

The use of LISS Femoral Locking Plates and Cabling in the Treatment of Periprosthetic Fractures around Stable Proximal Femoral Implants in Elderly Patients

2008· article· en· W4242377847 on OpenAlexaboutno aff
V.A. Currall, K. Thomason, S.J. Eastaugh-Waring, A.J. Ward, T.J.S. Chesser

Bibliographic record

VenueHip International · 2008
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineSurgeryFixation (population genetics)Retrospective cohort studyArthroplastyHip arthroplasty

Abstract

fetched live from OpenAlex

A retrospective review was performed of Vancouver type C periprosthetic femoral fractures treated using the Less Invasive Stabilisation System (LISS) femoral locking plate system. Five patients with stable hip prostheses (only one of which was an uncomplicated primary arthroplasty) were treated with the LISS plating system in combination with bone grafting and cables. The average age at the time of fixation was 87 years (range 83-93). All fractures united and all but one of the patients was able to mobilise independently. One case was complicated by superficial wound infection, but there were no other significant complications. One patient is still alive 50 months after surgery; the remaining four died a mean of 27 months postoperatively. Our results indicate that the LISS system is effective in the management of Type C periprosthetic fractures around well-fixed proximal femoral implants in the elderly, even in complex cases.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.005
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.005
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.048
GPT teacher head0.287
Teacher spread0.239 · 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 source (direct Gemma or distilled Codex), 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

Citations13
Published2008
Admission routes1
Has abstractyes

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