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The Complex Triplane Fracture: Ipsilateral Tibial Shaft and Distal Triplane Fracture

2001· article· en· W2055832854 on OpenAlexaff
James Jarvis, Firoz Miyanji

Bibliographic record

VenueThe Journal of Trauma: Injury, Infection, and Critical Care · 2001
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsBC Children's HospitalChildren's Hospital of Eastern Ontario
Fundersnot available
KeywordsMedicineDeformityReduction (mathematics)SurgeryTibiaOrthodontics

Abstract

fetched live from OpenAlex

BACKGROUND: The complex triplane fracture (ipsilateral tibial shaft and distal tibial triplane fracture) is a rare combination. It has not previously been described in the literature. This combination can be easily overlooked and has the potential for serious sequelae if it is missed. METHODS: Six patients, having sustained this combined injury, were reviewed at a tertiary children's hospital. Clinical assessment, radiographs, computed tomographic scans, bone age, and scanogram assessment of leg length at maturity were completed. RESULTS: Average age at injury was 14 years. Tibial fractures were midshaft or short oblique. There were 3 three-part and 3 two-part intra-articular distal tibial triplane fractures. Diagnosis of the distal triplane fracture was delayed in two cases. Treatment involved application of a long leg cast. No patients required open reduction. At follow-up (average, 22 months), all patients were asymptomatic. All fractures were well healed and there was no evidence of joint incongruity, or angular or rotational deformity. Leg length discrepancy averaged 6.8 mm. CONCLUSION: A high index of suspicion should be maintained to avoid missing this rare combination, as it has the potential for long-term sequelae.

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 score0.186
Threshold uncertainty score0.512

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.317
Teacher spread0.300 · 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

Citations23
Published2001
Admission routes1
Has abstractyes

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