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Record W2118861232 · doi:10.2174/1874325001408010178

Controversies in the Management of Open Fractures

2014· article· en· W2118861232 on OpenAlexafffund
Osipova Yu.L., Matthew Rg Menon, Jomha N.M

Bibliographic record

VenueThe Open Orthopaedics Journal · 2014
Typearticle
Languageen
FieldMedicine
TopicBone fractures and treatments
Canadian institutionsUniversity of Alberta
FundersUniversity of Alberta
KeywordsMedicineContext (archaeology)Soft tissueClosure (psychology)Broad spectrumIntensive care medicineSurgeryRegimenLaw

Abstract

fetched live from OpenAlex

Open fractures are a common problem encountered by orthopaedic surgeons and comprise a broad spectrum of trauma. Management is guided by principle-based steps aimed at reducing the risk of gas gangrene or suppurative infections, whilst maintaining viability in a favourable soft tissue environment to reduce the risk of delayed or non-union of bone. Aspects of these principles, however, create discussion around several areas of controversy. The specific antimicrobial regimen and its duration are questions that have been evaluated for decades. Like the ever-evolving nature of the bacterial pathogens, the answer to this is dynamic and changing. The "six-hour rule" is a hotly debated topic with fervent perseverance of this dogma despite a gross lack of support from the literature. The most appropriate soft tissue management approach for open fractures - immediate definitive soft tissue closure versus leaving wounds open for delayed closure or definitive management - is also an area of debate. Exploration of these controversies and consideration for the historical context of the supporting literature furthers our understanding of the critical elements.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.025
metaresearch head score (Gemma)0.094
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: none
Teacher disagreement score0.025
Threshold uncertainty score0.132

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0250.094
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0050.018
Scholarly communication0.0070.011
Open science0.0040.005
Research integrity0.0110.019
Insufficient payload (model declined to judge)0.0060.002

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 head0.024
GPT teacher head0.344
Teacher spread0.320 · 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 source (direct Gemma or distilled Codex), not a consensus.

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

Citations36
Published2014
Admission routes2
Has abstractyes

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