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Management of Vancouver C Periprosthetic Femoral Fracture after Hip Arthroplasty

2023· article· en· W4322741025 on OpenAlexaboutno aff
Ehab Mohamed Shehata, El-Sayed El-Etewy Soudy, Mohamed Sebaei, Mohamed Doma

Bibliographic record

VenueZagazig University Medical Journal · 2023
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineHip arthroplastyTotal hip arthroplastyArthroplastySurgeryFemoral fractureFemur

Abstract

fetched live from OpenAlex

Background: Treatment of periprosthetic femoral fractures (PPFF) is difficult. Careful pre-operative planning and meticulous intra-operative technique during hip arthroplasty is the most important aspect in the prevention of periprosthetic fractures.Objective: The aim of the present study was to evaluate the results of surgical treatment of Vancouver C periprosthetic femoral fractures.Patients and The study included 18 patients presented to orthopedic department at Zagazig University Hospitals. ORIF with plate osteosynthesis was used in patients with type C PPF fractures. Time of follow up from six months to one year.Results: Seven patients responded good satisfaction (38.9%), five responded fair satisfaction (27.8%), three patients had excellent feedback (16.7%), and three patients had poor experience (16.7%).The final results were affected by the time lapse before the occurrence of fracture and the time lapse before union and wasn't affected by the age, sex or the timing of occurrence of the fracture. Functional outcome after healing of the fracture was less than the pre-injury stage.Conclusion: ORIF with plate osteosynthesis was satisfactory methods for treatment of Vancouver C Periprosthetic Femoral Fractures.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.366
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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)0.0050.000

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 head0.009
GPT teacher head0.230
Teacher spread0.221 · 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 designNot applicable
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
Published2023
Admission routes1
Has abstractyes

Explore more

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