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Record W3089438870 · doi:10.4103/jmu.jmu_110_20

Management of Hand Spasticity with Ultrasound-guided Ethyl Alcohol Injection to the Deep Branch of the Ulnar Nerve

2020· article· en· W3089438870 on OpenAlexaff
Min Cheol Chang, Mathieu Boudier‐Revéret

Bibliographic record

VenueJournal of Medical Ultrasound · 2020
Typearticle
Languageen
FieldMedicine
TopicBotulinum Toxin and Related Neurological Disorders
Canadian institutionsUniversité de Montréal
Fundersnot available
KeywordsMedicineNeurolysisSpasticityUlnar nerveSurgeryPerioperativeStroke (engine)Physical medicine and rehabilitationElbow

Abstract

fetched live from OpenAlex

Patients with stroke commonly experience limb spasticity, which can prevent functional recovery and cause functional disability, due to muscle tightness and joint stiffness in the affected limb. Using the ability of ultrasound (US) to visualize nerves, we successfully performed US-guided neurolysis of the motor branch of the ulnar nerve in Guyon's canal, while avoiding injury of its sensory branch, in a 63-year-old woman with upper limb poststroke spasticity. We believe that our method has the merit of precluding the development of neuropathic pain, following injury to the sensory branch of the ulnar nerve. Moreover, our method reduces operation time and perioperative pain.

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)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.602
Threshold uncertainty score0.467

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.025
GPT teacher head0.279
Teacher spread0.253 · 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
Published2020
Admission routes1
Has abstractyes

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