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Record W4295007467 · doi:10.31067/acusaglik.1100641

Long-term outcomes and complications of Periprosthetic Fractures of the Proximal Femur: A Retrospective Review of 48 Patients

2022· review· en· W4295007467 on OpenAlexaboutno aff
İbrahim Yavuz, Cahit KOÇAK, Fatih İnci, Erman Ceyhan, Ahmet Özgür YİLDİRİM, Özdamar Fuad Öken

Bibliographic record

VenueAcibadem Universitesi Saglik Bilimleri Dergisi · 2022
Typereview
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineOsteosynthesisSurgeryFemurRetrospective cohort studyRadiographyArthroplasty

Abstract

fetched live from OpenAlex

Objectives: Periprosthetic fractures, especially periprosthetic proximal femur fractures, are an increasingly important orthopaedic problem. The aim of this study is to evaluate long-term results, mortality and complications of periprosthetic fractures. Methods: Patients who had proximal femur periprosthetic fracture were evaluated retrospectively. Patients with Vancouver type B1 and C were treated with plate-screw osteosynthesis and patients with Vancouver type B2 were operated using revision femoral systems. Follow-up was evaluated by clinical and radiographic, and functional results were assessed by Gos scoring. Results: Totally 48 patients were evaluated retrospectively. 16 patients (33.3%) were type B1, 18 patients (37.5%) were type B2 and 14 patients (29.2%) were type C. 30 patients (62.5%) with type B1 and C were treated with plate screw osteosynthesis and 18 patients (37.5%) with type B2 treated with revision femoral systems. There was a significant correlation between the surgical method applied and both mortality and preop/postop GOS scoring systems (p

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)0.002
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: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.003
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.000
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 head0.028
GPT teacher head0.304
Teacher spread0.276 · 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
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

Citations0
Published2022
Admission routes1
Has abstractyes

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