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Record W3196748365 · doi:10.1016/j.msard.2021.103253

High titers of myelin oligodendrocyte glycoprotein antibody are only observed close to clinical events in pediatrics

2021· article· en· W3196748365 on OpenAlex
Allysa Lui, Janet Chong, Eoin P. Flanagan, Aaron Abrams, Kristen M. Krysko, Burak Arikan, Carla Francisco, Alice Rutatangwa, Emmanuelle Waubant, Amin Ziaei

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

VenueMultiple Sclerosis and Related Disorders · 2021
Typearticle
Languageen
FieldMedicine
TopicMultiple Sclerosis Research Studies
Canadian institutionsSt. Michael's Hospital
FundersNational Institute of Neurological Disorders and StrokeNational Institutes of HealthMultiple Sclerosis International Federation
KeywordsMedicineMyelin oligodendrocyte glycoproteinMultiple sclerosisOptic neuritisImmunologyDemyelinating diseaseTiterImmunoglobulin GAntibodyInternal medicineExperimental autoimmune encephalomyelitis

Abstract

fetched live from OpenAlex

BACKGROUND: Myelin oligodendrocyte glycoprotein (MOG)-IgG is increasingly detected in children with CNS demyelinating diseases. Due to the clinical overlap in children with CNS demyelination with and without MOG-IgG positivity, identifying distinct characteristics would help early diagnosis. OBJECTIVE: To compare the specific features that may help differentiate MOG-IgG positive from negative children with CNS demyelinating diseases. To compare characteristics of patients with high and low MOG-IgG titers. METHODS: Children with CNS demyelinating disorders with onset before 18 years of age who were tested for MOG-IgG at the University of California San Francisco were included. This retrospective study collected the following by chart review: demographic, clinical, MRI, CSF, and treatment data. Serum was tested for MOG-IgG at Mayo Clinic by live cell-based fluorescent activated cell sorting assay with titer ≥1:20 confirming positivity. RESULTS: We assessed 65 Mog-IgG positive and 65 MOG-IgG negative patients. Median (IQR) age of onset was 7.6 (6.6) years for MOG-IgG positive and 13.8 (5.8) years for MOG-IgG negative (p<0.001). The female to male ratio was approximately 1:1 for the MOG-IgG positive group and 3:1 for the negative group (p=0.042). The most common initial diagnosis was demyelinating disease not otherwise specified (52.3%) in the positive group, compared to relapsing-remitting multiple sclerosis (41.5%) in the negative group (p<0.01). Optic nerve involvement (52.3%) was the most common clinical localization at onset for the MOG-IgG positive group, while brainstem/cerebellar (49.2%) localization predominated in the MOG-IgG negative group. The positive group also presented more often with a severe event at disease onset than the negative group (81.5% vs 60.3%; p< 0.002). MOG-IgG positive children had a lower frequency of oligoclonal bands (15.8% vs 57.4%; p<0.001). The frequency of baseline brain and spinal cord MRI abnormalities were similar in both groups; however, MOG-IgG positive patients more often had T2 hyperintense lesions in the optic nerves (26/43 vs 10/41; p<0.001). Disease-modifying medications were used in 64.6% of MOG-IgG positive patients versus 80% of negative children. Of the 32 positive patients with follow-up titers, seven reverted to negative while two who tested negative initially converted to positive. Positive titers greater than 1:160 were only observed within four months of a clinical event (disease onset or relapse). Patients with high and low MOG-IgG titers were comparable in demographic and clinical characteristics. CONCLUSION: Despite some clinical overlap, we report notable demographic, MRI and CSF differences between MOG-IgG positive and negative children with CNS demyelinating disorders at disease onset. High MOG-IgG titers were only observed close to a clinical event.

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)0.001
metaresearch head score (Gemma)0.003
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 score0.022
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.003
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 integrity0.0000.001
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 head0.059
GPT teacher head0.322
Teacher spread0.264 · 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