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Record W2021947576 · doi:10.1159/000028942

Axillary Nerve Injuries in Children

2000· article· en· W2021947576 on OpenAlexaff
A. Tyagi, James M. Drake, Rajiv Midha, John R. W. Kestle

Bibliographic record

VenuePediatric Neurosurgery · 2000
Typearticle
Languageen
FieldMedicine
TopicNerve Injury and Rehabilitation
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsMedicineNeurolysisAxillary nerveSurgeryConcomitantNerve injuryDeltoid curveDeltoid muscleAnesthesiaBrachial plexus

Abstract

fetched live from OpenAlex

Isolated axillary nerve injury is uncommon, particularly in children. The motor deficit of shoulder abduction may not recover spontaneously and can be a substantial handicap. Detection may be difficult initially, as the injury is masked by trauma such as head injury, and concomitant shoulder injury requiring immobilization. After mobilization, patients learn to partially compensate by using alternate muscles. There are few reports of surgical management of this nerve injury. Most concern predominantly adults, and the results are mixed with on average slightly greater than half having a good recovery (defined as grade 4-5 Medical Research Council muscle power). We present our experience with 4 pediatric patients who had axillary nerve injury. Three patients had an interposition nerve graft, and 1 patient underwent neurolysis. All patients recovered to grade 4-5 deltoid muscle power. Children with an axillary nerve injury which fails to recover spontaneously by 4-6 months should strongly be considered for surgical exploration.

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)0.003
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

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 head0.008
GPT teacher head0.243
Teacher spread0.235 · 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 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

Citations16
Published2000
Admission routes1
Has abstractyes

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