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Record W2092844877 · doi:10.1177/0883073814545883

Outcomes After Early Administration of Plasma Exchange in Pediatric Central Nervous System Inflammatory Demyelination

2014· article· en· W2092844877 on OpenAlexafffund
Sandra Bigi, Brenda Banwell, E. Ann Yeh

Bibliographic record

VenueJournal of Child Neurology · 2014
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsHospital for Sick Children
FundersSchweizerische Multiple Sklerose GesellschaftSchweizerischer Nationalfonds zur Förderung der Wissenschaftlichen ForschungHospital for Sick ChildrenBiogen
KeywordsMedicineAcute disseminated encephalomyelitisCentral nervous systemExpanded Disability Status ScaleNeuromyelitis opticaMultiple sclerosisPediatricsTransverse myelitisMyelitisSpinal cordInternal medicineImmunologyPsychiatry

Abstract

fetched live from OpenAlex

The use of plasma exchange has been described in steroid-refractory central nervous system inflammatory demyelination in adults, but less has been published regarding its use in children and adolescents. We describe 12 children treated with plasma exchange for acute severe central nervous system inflammatory demyelination. The clinical attack leading to plasma exchange included symptomatic spinal cord lesions in 10 and symptomatic brainstem lesions in 2 children. Diagnosis was acute transverse myelitis in 6, relapsing-remitting multiple sclerosis in 5, and acute disseminated encephalomyelitis in 1 child. Adverse events related to plasma exchange necessitating intervention were observed in 3 children. Median Expanded Disability Status Scale score at plasma exchange start was 7.5 (range 4-9.5). At 3 months, 7 children were ambulatory without aid (Expanded Disability Status Scale score of ≤4). This retrospective study suggests that plasma exchange can be effective in ameliorating symptoms in severe pediatric central nervous system inflammatory demyelination, although lack of randomization or control group limits the ability to attribute this outcome entirely to plasma exchange.

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)0.001
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.010
Threshold uncertainty score0.360

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.262
Teacher spread0.249 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations55
Published2014
Admission routes2
Has abstractyes

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