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Record W1967109575 · doi:10.1017/s0317167100003838

Intracranial Hypotension with Severe Neurological Symptoms Resolved by Epidural Blood Patch

2004· article· en· W1967109575 on OpenAlexaffvenue
Philip Peng

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2004
Typearticle
Languageen
FieldMedicine
TopicNeurosurgical Procedures and Complications
Canadian institutionsToronto Western HospitalUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsEpidural blood patchMedicineIntracranial HypotensionOrthostatic vital signsAnesthesiaAtaxiaLumbar punctureSubdural hemorrhageSpontaneous Intracranial HypotensionSurgeryLumbarMagnetic resonance imagingCerebrospinal fluidComplicationRadiologyBlood pressureHematomaPathology

Abstract

fetched live from OpenAlex

BACKGROUND: A patient with a constellation of severe neurological symptoms caused by spontaneous intracranial hypotension, which was successfully managed by epidural blood patch, was described. CASE HISTORY: A 50-year-old woman presented to the neurological service with a two-month history of orthostatic headache. Associated clinical features included sensorineural deafness, ataxia and short-term memory loss. Magnetic resonance imaging showed downward displacement of brain structures, bilateral subdural collections and the postgadolinium images demonstrated diffuse dural enhancement suggestive of the diagnosis of spontaneous intracranial hypotension. RESULTS: Following a lumbar epidural blood patch, all symptoms improved significantly and her headache resolved. CONCLUSION: The principal presentation of spontaneous intracranial hypotension is orthostatic headache. The patient described presented a combination of various neurological symptoms, ataxia, memory loss and deafness, which all responded well to epidural blood patch.

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)0.002
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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
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 head0.019
GPT teacher head0.246
Teacher spread0.226 · 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
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

Citations35
Published2004
Admission routes2
Has abstractyes

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Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences NeurologiquesSame topicNeurosurgical Procedures and ComplicationsFrench-language works237,207