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Record W2047983123 · doi:10.1097/bot.0b013e318176191f

Optimal Internal Fixation for Femoral Neck Fractures: Multiple Screws or Sliding Hip Screws?

2009· review· en· W2047983123 on OpenAlexaffabout
Mohit Bhandari, Paul Tornetta, Beate Hanson, M.F. Swiontkowski

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2009
Typereview
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsMcMaster University
Fundersnot available
KeywordsMedicineInternal fixationArthroplastyDynamic hip screwFixation (population genetics)SurgeryRandomized controlled trialFemoral neckPopulationOsteoporosis

Abstract

fetched live from OpenAlex

INTRODUCTION: The number of hip fractures is likely to exceed 500,000 in the United States and 88,000 in Canada annually over the next 40 years. Hip fractures are associated with a 30% mortality rate at 1 year and profound temporary, and sometimes permanent, impairment of independence and quality of life. OBJECTIVES: Although much focus has centered around the comparison of arthroplasty versus internal fixation devices in the treatment of femoral neck fractures, the optimal approach for internal fixation has been largely ignored. Identifying the optimal technique for internal fixation could reduce the historically high rates of revision surgery that have fueled arguments against fixing patients with displaced femoral neck fractures. RESULTS: Both indirect and direct comparisons suggest a possible benefit for a sliding hip screw over multiple cancellous screws in reducing the need for revision surgery. The indirect nature of the comparison from the meta-analysis of arthroplasty versus internal fixation, and the small sample sizes, methodological limitations, and nonsignificant pooled estimate from the direct comparisons, leaves the issue very much in doubt. CONCLUSIONS: Although the rationale for arthroplasty continues to gain popularity, previous studies suggest that we have yet to identify the best approach for internal fixation. Previous trials suggest that the issue is largely unresolved and solutions will likely come from larger randomized trials comparing alternative devices for fixing the hip.

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)0.001
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.977
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0040.003
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0000.000

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 head0.081
GPT teacher head0.385
Teacher spread0.304 · 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 designOther design
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

Citations99
Published2009
Admission routes2
Has abstractyes

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