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Record W2085813089 · doi:10.1097/bpo.0b013e3181558b00

Treatment of Open Femur Fractures in Children

2007· article· en· W2085813089 on OpenAlexaff
Leonhard E. Ramseier, Atul Bhaskar, William G. Cole

Bibliographic record

VenueJournal of Pediatric Orthopaedics · 2007
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineMalunionIntramedullary rodFemurPolytraumaSurgeryFemur fractureConfidence intervalComplicationOpen fractureOrthopedic surgeryNonunionInternal medicine

Abstract

fetched live from OpenAlex

BACKGROUND: Open femur fractures in children are uncommon and usually associated with other injuries. In adults, there is a current trend to treat open fractures with intramedullary (IM) devices. The goal of this study was to compare external fixator (EF) to IM devices in the treatment of open femur fractures in children. METHODS: Diaphyseal femur fractures without growth plate involvement were included. Thirty-five patients (12 IM; 23 EF) were identified. Age, hospital stay, polytrauma, mechanism of injury, and Gustilo-Anderson grade were recorded. Follow-up was at least until the fracture was clinically and radiographically healed. RESULTS: Patients with EFs were 5.2 times more likely (95% confidence interval, 1.05-25.5) to have any complication. Excluding pin track infections, patients with EFs were 2.7 times as likely (95% confidence interval, 0.567-13.2) to have a complication. Refractures occurred only in the EF group (6/23, 26%) and not in the IM nailing group (P = 0.062, Fischer exact test). These were associated with varus malunions-all 3 of the EF group with more than 15 degrees of varus at fracture union suffered a refracture. CONCLUSIONS: Treatment of open femur fractures in children is a challenging problem. Treatment with IM devices had fewer complications than the EF. We think that whenever possible, the use of IM devices for the treatment of open femur fracture in children should be considered, especially grade 1 open injuries. If EFs are used, avoiding varus malunion may decrease the refracture rate, and secondary change to an IM device should be considered. LEVEL OF EVIDENCE: Comparative cohort study. Grade 3 level of 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)0.000
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 score0.032
Threshold uncertainty score0.442

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 head0.017
GPT teacher head0.332
Teacher spread0.315 · 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

Citations39
Published2007
Admission routes1
Has abstractyes

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