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Record W2000354982 · doi:10.1017/s0317167100007654

Spontaneous C1-2 CSF Leak Treated with High Cervical Epidural Blood Patch

2008· letter· en· W2000354982 on OpenAlexaffvenue
Philip Peng, Richard Farb

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2008
Typeletter
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEpidural blood patchMedicineMyelographyCerebrospinal fluidIntracranial HypotensionMagnetic resonance imagingRadiologyLeakAtaxiaSpinal cordPathology

Abstract

fetched live from OpenAlex

Spontaneous intracranial hypotension (SIH) is a condition caused by spontaneous spinal cerebrospinal fluid (CSF) leaks. Clinically, it is characterized by orthostatic headache and may respond well to epidural blood patch. Other neurological presentations of SIH include diplopia, memory loss, hearing deficits, Parkinsonism, ataxia, obtundation and even coma. Magnetic resonance imaging (MRI) is crucial in the diagnosis of this condition. Typical radiological features include diffuse pachymeningeal enhancement, descent of the cerebellar tonsil, a decrease in the size of prepontine and perichiasmatic cisterns, and subdural fluid collections. However, radiological imaging such as radionuclide cisternography or spinal MRI are not reliable in detecting the site of leakage. Myelography with iodinated contrast followed by thin-cut computed tomography (CT) or MRI of the entire spine has been shown as the technique of choice in defining the location of the CSF leak.

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)0.001
metaresearch head score (Gemma)0.007
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: Other · Consensus signal: none
Teacher disagreement score0.009
Threshold uncertainty score0.026

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.007
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0020.002
Bibliometrics0.0020.002
Science and technology studies0.0030.002
Scholarly communication0.0010.003
Open science0.0020.001
Research integrity0.0090.007
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 head0.029
GPT teacher head0.245
Teacher spread0.216 · 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
GenreOther

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

Citations15
Published2008
Admission routes2
Has abstractyes

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