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A corticosteroid-responsive aneurysmal lenticulostriate vasculopathy

2003· article· en· W2018255670 on OpenAlexaff
Navraj S. Heran, Manraj S. Heran, Andrew R. Woolfenden

Bibliographic record

VenueNeurology · 2003
Typearticle
Languageen
FieldMedicine
TopicVasculitis and related conditions
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineStroke (engine)VasculitisHemiparesisRadiologyAngiographyMagnetic resonance angiographyCyclophosphamideCerebral infarctionMagnetic resonance imagingSurgeryPathologyDiseaseInternal medicineChemotherapyIschemia

Abstract

fetched live from OpenAlex

Primary angiitis of the CNS (PACNS) was initially described as granulomatous angiitis in 1952.1 Though it has been successfully treated with a combination of corticosteroids and cyclophosphamide,2 definitive diagnosis is difficult and clinicians are often reluctant to initiate toxic immunosuppressants without a clear diagnosis. Isolated involvement of the lenticulostriate arteries is not reported in PACNS. Furthermore, aneurysm formation is rare in PACNS although more common in systemic vasculitides.3 We describe a woman with a symptomatic lenticulostriate vasculopathy presumed to be PACNS. The disease progressed until the institution of immunosuppressive therapy and regressed once treated. ### First presentation. A 43-year-old woman presented in September 1999 with a left hemiparesis. She was normotensive with normal general examination. She had been healthy with no constitutional, rheumatologic, or neurologic symptoms. There were no stroke risk factors. CT demonstrated a right internal capsule lacunar infarction and several more infarcts bilaterally within the lenticulostriate territories. Angiography demonstrated subtle irregularities of the lenticulostriate arteries. …

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)0.001
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 score0.005
Threshold uncertainty score0.017

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0050.001

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 head0.012
GPT teacher head0.243
Teacher spread0.231 · 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

Citations13
Published2003
Admission routes1
Has abstractyes

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