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Record W2094650555 · doi:10.4021/jnr.v2i4.123

A Case of Amyloid-β-Related Angiitis: Histology, CSF-Findings and Treatment

2012· article· en· W2094650555 on OpenAlexvenueno aff
S. Hertel, Thomas Eckey, Markus Glatzel, Andréas Moser

Bibliographic record

VenueJournal of Neurology Research · 2012
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAmyloidosis: Diagnosis, Treatment, Outcomes
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineCerebrospinal fluidPathologyBrain biopsyCerebral amyloid angiopathyVasculitisAmyloid (mycology)HistologyBiopsyLesionDiseaseDementia

Abstract

fetched live from OpenAlex

Amyloid- β -related angiitis (ABRA) is characterized by vasculitis and accumulation of amyloid- β in vessel walls. In this case report we describe findings of cranial MRI, brain biopsy and cerebrospinal fluid in a patient with Amyloid- β -related angiitis. The cranial MRI displayed extensive multifocal white matter lesion and brain biopsy revealed amyloid angiopathy as well as granulomatous angiitis. In the cerebrospinal fluid our patient showed normal cell count, slightly elevated protein and intrathecal immunoglobulin synthesis which recovered during steroid therapy. We illustrate that detailed CSF analysis including tests for intrathecal immunoglobulin synthesis is very useful in monitoring the efficacy of therapy and disease activity in ABRA since cranial MRI and histology are not suitable for this purpose. In addition we propose that CSF findings may be very helpful in diagnosing ABRA and starting early immunosuppressive therapy. doi: http://dx.doi.org/10.4021/jnr123w

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)0.003
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 score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.055
GPT teacher head0.367
Teacher spread0.312 · 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
Published2012
Admission routes1
Has abstractyes

Explore more

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