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Record W2223555377 · doi:10.1212/nxg.0000000000000038

Late diagnosis of cerebral folate deficiency: Fewer seizures with folinic acid in adult siblings

2015· article· en· W2223555377 on OpenAlexafffund
Patrick Ferreira, Stephanie M. Luco, Sarah L. Sawyer, Jorge Dávila, Kym M. Boycott, David A. Dyment, Alex MacKenzie, Jacek Majewski, Michael Brudno, Dennis E. Bulman

Bibliographic record

VenueNeurology Genetics · 2015
Typearticle
Languageen
FieldMedicine
TopicFolate and B Vitamins Research
Canadian institutionsAlberta Children's HospitalChildren's Hospital of Eastern Ontario
FundersCanadian Institutes of Health ResearchOntario GenomicsOntario Genomics InstituteGenome Canada
KeywordsMedicineFolinic acidPediatricsEpilepsyCerebral palsyAtaxiaInternal medicineChemotherapyPsychiatry

Abstract

fetched live from OpenAlex

Cerebral folate deficiency is a genetically heterogeneous condition.(1) Mutations in FOLR1 are responsible for a rare but treatable form of cerebral folate deficiency (OMIM #613068).(1) The gene codes for folate receptor alpha (FRα), a specific CNS folate transporter. Individuals with FOLR1-related folate deficiency present with ataxia, dyskinesia, spasticity, seizures, and regression in cognitive abilities and motor skills during early childhood.(2) Seizures commonly observed include generalized tonic-clonic, atonic, and myoclonic.(3) To date, there have been 18 individuals with FOLR1-related cerebral folate deficiency diagnosed in childhood and reported in the literature.(3-5) Early diagnosis is crucial, as high-dose folinic acid (2-5 mg/kg/day) has been reported to be an effective treatment that can ameliorate or even prevent further neurodegeneration, although no long-term treatment studies have been performed.(1,3,5,6) We present the late diagnosis of adult siblings with cerebral folate deficiency due to FOLR1 mutations and their subsequent treatment.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0010.001
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 head0.036
GPT teacher head0.307
Teacher spread0.271 · 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 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

Citations16
Published2015
Admission routes2
Has abstractyes

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