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Record W2582018134 · doi:10.14740/jmc.v8i2.2715

High Median Nerve Palsy Caused by Pseudoaneurysm After Brachial Catheterization: Two Case Reports

2017· article· en· W2582018134 on OpenAlexvenueno aff
Kensuke Ochi, Goken Iwase, Sakiko Mizuno, Noboru Matsumura, Takuji Iwamoto, Itsuo Watanabe, Hiraku Hotta, Ukei Anazawa, Kazuki Sato, Shinichiro Takayama

Bibliographic record

VenueJournal of Medical Cases · 2017
Typearticle
Languageen
FieldMedicine
TopicVascular Procedures and Complications
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineNeurolysisPseudoaneurysmPalsySurgeryHematomaBrachial plexusComplication

Abstract

fetched live from OpenAlex

We here present two very rare cases of high median nerve palsy caused by pseudoaneurysm after brachial catheterization. A 71-year-old woman developed high median nerve palsy 2 weeks after brachial catheterization. She underwent pseudoaneurysm resection together with neurolysis 4 months after the onset of palsy. Surgical findings suggested that her palsy was caused by both severe compression by pseudoaneurysm and adhesion following hematoma after catheterization. Five months after the surgery, she only had slight sensory disturbance. A 48-year-old lady developed high median nerve palsy 1 week after the catheterization. Simple pseudoaneurysm resection was performed 2 weeks after the catheterization. Neurolysis was not performed. Seven months after the surgery, she still had severe sensory disturbance. Our cases suggested importance of secured astriction after catheterization, and recommended surgical procedure for this condition is combination of pseudoaneurysm resection and neurolysis by hand surgeons. J Med Cases. 2017;8(2):33-35 doi: https://doi.org/10.14740/jmc2715w

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)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Case report · Consensus signal: Case report
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.049
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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)0.0010.000

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 head0.021
GPT teacher head0.316
Teacher spread0.295 · 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.

Study designCase report
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

Citations0
Published2017
Admission routes1
Has abstractyes

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