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Record W2465884702 · doi:10.13107/jocr.2250-0685.281

Decompression of Neglected Compartment Syndrome of the Arm.

2016· article· en· W2465884702 on OpenAlexaff
Fletcher

Bibliographic record

VenuePubMed · 2016
Typearticle
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsDawson College
Fundersnot available
KeywordsMedicineDecompressionCompartment (ship)FasciotomyElbowSurgeryForearmCompartment SyndromesCrush injuryCrush syndromeSurgical decompressionAnesthesiaInternal medicine

Abstract

fetched live from OpenAlex

INTRODUCTION: Compartment syndrome of the arm is rare, and delay in diagnosis or treatment can be devastating. A case is reported of compartment syndrome of the whole arm occurring in a remote location and arrival at hospital 15 hours after injury with good results despite delayed treatment. CASE REPORT: A 26 year old male presented with a combined crush injury and compartment syndrome of the arm, with delay in presentation due to remote injury and delay in rescue. Late (>16 hours)fasciotomy was performed with retention of the upper arm, elbow and proximal forearm with good residual function. CONCLUSION: Despite significant delay in treatment of compartment syndrome of the arm, useful function and tissue can be preserved with adequate decompression.

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 score0.443
Threshold uncertainty score0.125

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 studies0.0000.000
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 head0.022
GPT teacher head0.230
Teacher spread0.208 · 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

Citations2
Published2016
Admission routes1
Has abstractyes

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