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Record W2367578314

Comparison of Two Treatment Methods for Vancouver B1 Periprosthetic Femoral Fractures

2013· article· en· W2367578314 on OpenAlexaboutno aff
Yaozong Wang

Bibliographic record

VenueWuhan Daxue xuebao. Yixue ban · 2013
Typearticle
Languageen
FieldMedicine
TopicOrthopaedic implants and arthroplasty
Canadian institutionsnot available
Fundersnot available
KeywordsPeriprostheticMedicineSurgeryFemurFixation (population genetics)External fixatorBone healingProsthesisArthroplasty
DOInot available

Abstract

fetched live from OpenAlex

Objective: To investigate the clinical effect of shape-memory embracing fixator or locking compression plate(LCP) and cable on the treatment of vancouver B1 periprosthetic femoral fractures(PPF). Methods: Retrospective analysis of two groups of patients treated with either shape-memory embracing fixator(5 cases) or locking compression plate and cable(7 cases) was performed.The operation time, bleeding,Harris score,healing time and expenses were recorded and statistically compared.Results: The post-operative follow-up lasted 6-26 months.There were no differences between the two groups in operation time and bleeding,but statistical differences were found in Harris score and healing time.Although the LCP and cable is more expensive than embracing fixator,patients in LCP and cable group got earlier bone healing.Conclusion: The most important procedure of treatment for B1 PPF is rigid fixation of proximal femur,which contains prosthesis,and the LCP and cable method is preferred.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Non-randomized trial · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.042
GPT teacher head0.429
Teacher spread0.386 · 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 designNon-randomized trial
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

Citations0
Published2013
Admission routes1
Has abstractyes

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