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Record W4392166364 · doi:10.15690/vsp.v23i1.2652

Modern Approach to Fabry Disease Diagnosis and Management in Children

2024· article· en· W4392166364 on OpenAlexaff
Olga Ya. Smirnova, Nato D. Vashakmadze, Maria S. Karaseva, Natalia V. Zhurkova, Anna Yu. Rachkova, Leyla S. Namazova-Baranova

Bibliographic record

VenueВопросы современной педиатрии · 2024
Typearticle
Languageen
FieldMedicine
TopicLysosomal Storage Disorders Research
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsFabry diseaseMedicineDisease managementIntensive care medicinePediatricsComputer scienceDiseasePathology

Abstract

fetched live from OpenAlex

Fabry disease (FD), or Andersen-Fabry disease, is a rare hereditary lysosomal disease (sphingolipids storage disease) characterized by progressive multisystem involvement. The major symptoms among children are neuropathic pain / acroparesthesia, angiokeratomas, hypo- or anhidrosis, vortex keratopathy. Biochemical tests, molecular genetic testing, and family screening play crucial role in the diagnosis of the disease. Specific pathogenetic treatment of FD includes enzyme replacement therapy (ERT) with recombinant medications of the lysosomal enzyme -galactosidase A. ERT initiation before the development of severe organs and systems’ damage contributes to its higher efficacy. This article covers various aspects of pathogenesis, clinical picture features in childhood, modern methods of diagnosis and management of FD according to literature data.

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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.007

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.023
GPT teacher head0.304
Teacher spread0.281 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations1
Published2024
Admission routes1
Has abstractyes

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