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Record W4411113898 · doi:10.1186/s13052-025-02026-3

Subacute sclerosing panencephalitis as a re-emerging condition due to low vaccination coverage: a case-series

2025· article· en· W4411113898 on OpenAlexaff
Gabriella Errichiello, Francesco Tengattini, Silvia Gioacchini, Maria Fulvia de Leva, Stefania Graziano, Giorgia Bruno, Paola Bucci, Emilio D’Ugo, Claudio Ruggiero, Fabio Magurano, Antonio Varone

Bibliographic record

Venue˜The œItalian Journal of Pediatrics/Italian journal of pediatrics · 2025
Typearticle
Languageen
FieldMedicine
TopicVirology and Viral Diseases
Canadian institutionsSurgical Specialties (Canada)
Fundersnot available
KeywordsSubacute sclerosing panencephalitisSeries (stratigraphy)VaccinationVirologyMedicineMeaslesBiologyMeasles virusPaleontology

Abstract

fetched live from OpenAlex

BACKGROUND: Subacute sclerosing panencephalitis (SSPE) is a chronic progressive disease affecting the central nervous system (CNS) because of persistent measles virus (MeV) infection. The disease presents with a range of symptoms, starting with gradual cognitive and motor decline, progressing to coma, vegetative state, and typically resulting in death within 3-4 years of clinical onset. The incidence of SSPE is inversely related to vaccination coverage and its pathogenesis remains poorly understood. The primary risk factor is infection by the wild type of measles virus, particularly in individuals who may be predisposed to infection due to a lack of herd immunity or immunosuppressed states. Furthermore, the risk of developing SSPE increases with the younger age at which a person contracts measles. CASE PRESENTATION: We provide a description of the disease, characterizing its clinical course, diagnostic work-up and treatment options. We will also present a series of cases observed at the Santobono-Pausilipon Children's Hospital, in Naples, Italy, highlighting both typical and atypical presentations, with a particular emphasis on the pharmacological and neurosurgical treatments for the condition. CONCLUSIONS: The objective of this study is to raise awareness about the increasing prevalence of conditions following the SARS-Cov2 pandemic, with an emphasis on the importance of vaccination adherence as the only effective prevention method for SSPE.

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 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)0.002
metaresearch head score (Gemma)0.002
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.326
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0010.000
Research integrity0.0000.001
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 head0.012
GPT teacher head0.291
Teacher spread0.279 · 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 teacher head, not a consensus.

Study designObservational
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

Citations6
Published2025
Admission routes1
Has abstractyes

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