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Record W1981262431 · doi:10.1097/bth.0b013e3181984bc4

Treatment of Distal Radius Fractures With a Nonbridging Cross-Pin Fixator (The CPX System)

2009· review· en· W1981262431 on OpenAlexaff
Ather Mirza, Mary Kate Reinhart, Joseph Bove

Bibliographic record

VenueTechniques in Hand and Upper Extremity Surgery · 2009
Typereview
Languageen
FieldMedicine
TopicOrthopedic Surgery and Rehabilitation
Canadian institutionsAdvanced Micro Devices (Canada)
Fundersnot available
KeywordsMedicineExternal fixatorSurgeryWristPercutaneousDistal radius fractureFixation (population genetics)Kirschner wireFracture reductionExternal fixationMetacarpal bonesReduction (mathematics)Internal fixationPopulation

Abstract

fetched live from OpenAlex

Many treatment methods exist for patients presenting with a fracture of the distal radius. With the evolution of innovative procedures and devices, treatment of these particular fractures is shifting to more contemporary approaches. The minimally invasive technique with the cross-pin fixator (CPX) system offers a new biomechanical concept for relatively rigid fixation of distal radius fractures (DRF). The CPX system uses percutaneous cross Kirschner wire fixation in combination with a nonbridging external fixator. The stability of the model is derived from the external unilateral frame and the positioning of multiple 1.6 mm Kirschner wires at various angles and planes to each other. This allows for maintenance of DRF reduction, early wrist mobilization, and a prompt return to the usual activities. Between September 2004 and September 2008, there were 54 patients with 56 DRF who were treated with the CPX system. Excluded from the report are 2 patients who had a bone graft and 1 patient who was not willing to adhere to the postoperative protocol. Of the 51 patients with 53 DRF, no major complications were reported. This article describes the CPX surgical technique, the indications, the complications, and the postoperative management.

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)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.964
Threshold uncertainty score0.989

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
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 head0.028
GPT teacher head0.339
Teacher spread0.311 · 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 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

Citations7
Published2009
Admission routes1
Has abstractyes

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