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Use of an Intrathecal Catheter for Analgesia, Anesthesia, and Therapy in an Obstetric Patient With Pseudotumor Cerebri Syndrome

2016· article· en· W2612575111 on OpenAlexaff
Ferrante S. Gragasin, Angelo B. Chiarella

Bibliographic record

VenueObstetric Anesthesia Digest · 2016
Typearticle
Languageen
FieldMedicine
TopicCerebral Venous Sinus Thrombosis
Canadian institutionsRoyal Alexandra HospitalUniversity of Alberta
Fundersnot available
KeywordsMedicineVentriculomegalyPseudotumor cerebriSurgeryAnesthesiaAsymptomaticAcetazolamideNeck painPast medical historyLumbarLumbar puncturePosterior reversible encephalopathy syndromePregnancyIntracranial pressureCerebrospinal fluidMagnetic resonance imagingRadiologyInternal medicine

Abstract

fetched live from OpenAlex

(A A Case Rep. 2016;6:160–162) In this case report, a 32-year-old primigravida woman with a history of idiopathic intracranial hypertension (IIH) presented to the labor and delivery suite at 40 weeks gestation in active labor and with pseudotumor cerebri syndrome (PTCS). PTCS, which includes IIH, is a rare disorder mainly of obese women of childbearing age, characterized by increased intracranial pressure in the absence of a space-occupying lesion, ventriculomegaly, or abnormal cerebrospinal fluid (CSF) composition. Symptoms include headache, pulsatile tinnitus, back pain, dizziness, photophobia, neck pain, cognitive dysfunction, radicular pain, diplopia, and in some cases, permanent vision loss. This patient was diagnosed with IIH at age 14 and was treated with multiple lumbar punctures and diuretics until age 18 years. She was then asymptomatic until 23 years of age, at which time she had a recurrence and resumed diuretic therapy until her pregnancy.

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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0030.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.027
GPT teacher head0.243
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
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
Published2016
Admission routes1
Has abstractyes

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