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Record W2998934958 · doi:10.2106/jbjs.cc.19.00289

Ipsilateral Deltoid and Hand Compartment Syndrome

2020· review· en· W2998934958 on OpenAlexaff
Sahil Kooner, Daniella Crocker, Graeme Matthewson, Brett Byers, Nicholas M. Desy

Bibliographic record

VenueJBJS Case Connector · 2020
Typereview
Languageen
FieldMedicine
TopicMuscle and Compartmental Disorders
Canadian institutionsUniversity of ManitobaUniversity of Calgary
Fundersnot available
KeywordsCompartment (ship)MedicineDeltoid curveFasciotomyDecompressionSurgerySurgical decompressionInternal medicine

Abstract

fetched live from OpenAlex

CASE: We present the unique case of deltoid and hand compartment syndrome in a young man after prolonged syncope because of polysubstance use. The patient was subsequently treated with urgent deltoid and hand compartment fasciotomies which resulted in full recovery of his shoulder function. CONCLUSIONS: Patients suspected of deltoid compartment syndrome should have a thorough physical examination, followed by repeat examinations. Invasive compartment monitoring should be used in equivocal cases, in patients with decreased level of consciousness, and in patients with distracting injury. Once diagnosed, deltoid compartment syndrome (± other compartments) should be taken for emergent fasciotomy, ensuring adequate decompression of all 3 deltoid compartments.

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)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0030.001

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 head0.066
GPT teacher head0.346
Teacher spread0.280 · 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 designCase report
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
Published2020
Admission routes1
Has abstractyes

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