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Record W2080287826 · doi:10.1097/blo.0b013e31805b7ec4

Shortening after Femoral Neck Fracture Fixation

2007· article· en· W2080287826 on OpenAlexaff
Michael Zlowodzki, Anders Jönsson, Ritva Paulke, Philip J. Kregor, Mohit Bhandari

Bibliographic record

VenueClinical Orthopaedics and Related Research · 2007
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineFemoral neckSurgeryFixation (population genetics)Internal fixationOrthopedic surgeryImplantOrthodonticsOsteoporosisInternal medicine

Abstract

fetched live from OpenAlex

When using parallel screws for treatment of femoral neck fractures, shortening of the femoral neck might occur. Given the high revision surgery rates associated with parallel screws, we developed a questionnaire to explore (1) surgeons' viewpoints on difficulties in the fixation of femoral neck fractures, (2) their perception of the clinical importance of femoral neck shortening after internal fixation, and (3) their opinions regarding the ideal fixation device. Two hundred three surgeons responded. Eighty-three percent believed shortening of the femoral neck is common after screw fixation of femoral neck fractures; 89% believed shortening limits hip abductor function; and 69% believed shortening limits patients' physical function. When asked for features of the ideal implant for treatment of a femoral neck fracture, allowing compression across the fracture site on insertion and providing angular stability with a fixed-angle device to minimize shortening of the femoral neck were favored by 89% and 79% of the respondents, respectively. A plate with multiple nonparallel lag screws that can be locked into the plate might be a solution. However, the findings of this study are surgeons' opinions, which may or may not be confirmed by scientific evidence.

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)0.006
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.003
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 head0.074
GPT teacher head0.461
Teacher spread0.387 · 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 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

Citations55
Published2007
Admission routes1
Has abstractyes

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