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Record W4415740586 · doi:10.1002/epi4.70173

Autoimmune and paraneoplastic encephalitis–associated neuronal autoantibodies with serial EEG in adults with unexplained new‐onset seizures or worsening epilepsy

2025· article· en· W4415740586 on OpenAlex
Chang‐Yu Edward Cheng, Jing Su, Chieh‐Yu Shen, I‐Ting Lin, Pin‐Yu Chen, Tun Jao

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueEpilepsia Open · 2025
Typearticle
Languageen
FieldMedicine
TopicAutoimmune Neurological Disorders and Treatments
Canadian institutionsUniversité Laval
FundersNational Taiwan UniversityNational Taiwan University Hospital
KeywordsAutoantibodyEpilepsyAntibodyEmergency departmentElectroencephalographyAutoimmune disease

Abstract

fetched live from OpenAlex

OBJECTIVE: Unexplained seizures or worsening epilepsy in adult patients may be associated with specific neuronal or onconeuronal antibodies. We propose that comprehensive antibody testing is beneficial for adults with new-onset seizures or aggravated epilepsy without a predetermined etiology. Additionally, a combination of serial electroencephalography (EEG) may enhance clinical management. METHODS: Adult patients with new-onset seizures or worsening of existing epilepsy of an unknown cause who were admitted for comprehensive evaluation and management (including cerebrospinal fluid study, brain MRI, and EEG) were retrospectively and consecutively enrolled. Clinical and laboratory data were also collected. Antibody prevalence in epilepsy score (APE) and antibody prevalence in epilepsy and encephalopathy score (APE2) were calculated. Serial EEG results were quantified on a 5-point scale using the EEG criteria of the American Clinical Neurophysiology Society (ACNS). RESULTS: Between 2017 and 2022, a total of 46 patients were enrolled. Three of 15 patients (20.0%) from the outpatient clinic tested positive for specific antibodies, an indistinguishably high rate compared with 9 of 31 patients (29.0%) from the emergency room (ER) (p = 0.72). Receiver operating characteristic (ROC) analysis using the APE score to predict antibody positivity showed an area under the curve of 0.690. The optimal cutoff point was 6, with an overall accuracy of 73.9%, sensitivity of 41.7%, and specificity of 85.3%. Notably, a faster decrease in the 5-scale EEG severity scores, indicative of better EEG improvement, was associated with the application of immunotherapy and a high response to immunotherapy in epilepsy (RITE) score. SIGNIFICANCE: Our study supports prompt and thorough immunological workup for patients with new-onset or worsening epilepsy without a clear etiology. Immune etiology in these patients had a 26.1% yield rate. Moreover, serial EEGs play a pivotal role in monitoring the effectiveness of immunotherapy, in addition to being a diagnostic aid. PLAIN LANGUAGE SUMMARY: This study investigated adults who experienced seizures for which routine medical examinations could not identify the cause. We discovered that approximately 26% of these patients, whether they were acute cases in the emergency department or chronic cases in the outpatient department, had specific antibodies that might trigger their condition. Furthermore, using serial EEGs, we could effectively monitor treatment progression. Our results emphasize the importance of comprehensive antibody testing and brainwave monitoring for the management and understanding of previously unexplained seizures.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.045
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.013
GPT teacher head0.274
Teacher spread0.261 · 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