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Record W2772259673 · doi:10.1213/xaa.0000000000000687

Drainage of Cerebrospinal Fluid and Blood Pressure Augmentation as Rescue Therapies for Ischemic Myelitis After Bronchial Embolization: A Case Report

2017· article· en· W2772259673 on OpenAlexaff
Pierre-Alexis Lépine, Jean‐François Naud, Philippe Boisvert

Bibliographic record

VenueA&A Practice · 2017
Typearticle
Languageen
FieldMedicine
TopicVascular Anomalies and Treatments
Canadian institutionsUniversité LavalInstitut universitaire de cardiologie et de pneumologie de QuébecUniversité du Québec à Trois-RivièresCentre intégré universitaire de santé et de services sociaux de la Mauricie-et-du-Centre-du-QuébecUniversity of Toronto
Fundersnot available
KeywordsMedicineCerebrospinal fluidMyelitisEmbolizationComplicationLumbarSurgeryIschemiaBlood pressureLumbar punctureRadiologyAnesthesiaSpinal cordPathologyInternal medicine

Abstract

fetched live from OpenAlex

A 62-year-old man presented to the emergency department with massive hemoptysis. After bronchial artery embolization, he developed ischemic myelitis, a rare complication in this setting for which no specific therapy is currently recommended. The symptoms were managed with lumbar drainage of cerebrospinal fluid and blood pressure augmentation therapy. To our knowledge, this is the first report of using lumbar drainage of cerebrospinal fluid and blood pressure augmentation in the treatment of anterior medullary ischemia after bronchial artery embolization for massive hemoptysis. The treatment was associated with neurological recovery.

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)0.001
Version: codex-gemma-dda1882f352aValidation 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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.172
Threshold uncertainty score0.391

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.013
GPT teacher head0.324
Teacher spread0.311 · 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 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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