MétaCan
Menu
← Back to cohort
Record W2331843395 · doi:10.1017/s0317167100005175

Rasmussen's Encephalitis in a 58-Year-Old Female: Still a Variant?

2006· article· en· W2331843395 on OpenAlexaffvenue
Gary Hunter, J Donát, William Pryse‐Phillips, Sheri Harder, Christopher A. Robinson

Bibliographic record

VenueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques · 2006
Typearticle
Languageen
FieldMedicine
TopicEpilepsy research and treatment
Canadian institutionsSaskatchewan Health AuthorityMemorial University of NewfoundlandUniversity of Saskatchewan
Fundersnot available
KeywordsEpilepsia partialis continuaMedicineEncephalitisPediatricsRadiological weaponDyskinesiaCognitive impairmentCognitive declineCognitionEpilepsySurgeryPathologyDementiaPsychiatryDiseaseStatus epilepticusImmunologyVirus

Abstract

fetched live from OpenAlex

BACKGROUND: We report the case of a 58-year-old female with clinical, radiological, and histopathological evidence of Rasmussen's encephalitis, representing the oldest confirmed case to date. CASE SUMMARY: The patient presented with complex partial seizures characterized by numbness of the left face and staring spells. These progressed to a state of epilepsia partialis continua with jerking of the left face, as well as severe cognitive impairment and loss of all communication. The patient responded well to Intravenous Immunoglobulin (IVIG) therapy despite early complications and with ongoing treatment is living independently with minimal cognitive impairment. CONCLUSIONS: This represents the oldest confirmed case of Rasmussen's encephalitis and suggests that this diagnosis should be considered in patients of any age with an appropriate clinical picture. We recommend IVIG as a first line therapy for adult cases of Rasmussen's encephalitis.

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 score0.009

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 science0.0000.001
Research integrity0.0030.001
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 head0.032
GPT teacher head0.290
Teacher spread0.258 · 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

Citations16
Published2006
Admission routes2
Has abstractyes

Explore more

Same venueCanadian Journal of Neurological Sciences / Journal Canadien des Sciences Neurologiques→Same topicEpilepsy research and treatment→French-language works237,207→