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Record W2071361420 · doi:10.1097/bot.0b013e318162a0d2

Functional Outcome of Ipsilateral Intertrochanteric and Femoral Shaft Fractures

2008· article· en· W2071361420 on OpenAlexaff
Christopher Peskun, Michael D. McKee, Hans J. Kreder, David Stephen, Alison J McConnell, Emil H. Schemitsch

Bibliographic record

VenueJournal of Orthopaedic Trauma · 2008
Typearticle
Languageen
FieldMedicine
TopicHip and Femur Fractures
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
Fundersnot available
KeywordsMedicineSurgeryFemoral shaftOutcome (game theory)Femur

Abstract

fetched live from OpenAlex

OBJECTIVES: The purpose of this study was to compare the functional outcome of patients with ipsilateral intertrochanteric and femoral shaft fractures treated with a reconstruction nail versus a sliding hip screw and retrograde nail. DESIGN: Retrospective cohort study. SETTING: Two level 1 trauma centers. PARTICIPANTS: Twenty-six patients with ipsilateral intertrochanteric and femoral shaft fractures treated between 1993 and 2003 with a reconstruction nail (n=13) or with a sliding hip screw and retrograde nail (n=13). INTERVENTION: Internal fixation with a reconstruction nail or a sliding hip screw and retrograde nail. MAIN OUTCOME MEASUREMENTS: Functional outcome was measured using the Short Form-36 (SF-36), Short Musculoskeletal Functional Assessment (SMFA), and Lower Extremity Functional Scale (LEFS). RESULTS: The average time to follow-up was 49.6 months. Functional outcome was significantly better in the sliding hip screw with retrograde nail group for the role emotional (P=0.001) and mental component scores (P=0.016) of the SF-36. This group also scored better on the LEFS, although not reaching statistical significance (P=0.099). CONCLUSIONS: For most outcome measures, no significant differences in functional outcome scores were observed between the 2 treatment groups. The results of this study suggest the need for a randomized controlled trial with a larger sample size to more definitively compare the 2 fixation constructs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.502

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.041
GPT teacher head0.301
Teacher spread0.260 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations16
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Orthopaedic TraumaSame topicHip and Femur FracturesFrench-language works237,207