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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 OpenAlex
Olga Ya. Smirnova, Nato D. Vashakmadze, Maria S. Karaseva, Natalia V. Zhurkova, Anna Yu. Rachkova, Leyla S. Namazova-Baranova

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

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.

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)0.000
metaresearch head score (Gemma)0.000
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 score0.368
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.023
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