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Record W4400414405 · doi:10.15690/pf.v21i3.2765

Current Clinical Guidelines for the Management of Patients with Glycogen Storage Disease

2024· article· en· W4400414405 on OpenAlexaff
Natalia A. Averkina, M.E. Bagaeva, Baranov Aa, Nato D. Vashakmadze, Еlena A. Vishneva, О. С. Гундобина, Nataliya V. Zhurkova, Elena V. Kaitukova, E.V. Komarova, Т. В. Маргиева, Leyla S. Namazova-Baranova, В. П. Новикова, E. E. Petryaykina, Mariya M. Platonova, Aleksander S. Potapov, Olga Ya. Smirnova, Т.В. Строкова, Andrey N. Surkov, Nataliya N. Taran, Мarina V. Fedoseenko, Наталя Семенова, И. В. Анисимова, Svetlana A. Repina, Dmitriy M. Subbotin, Valeria V. Sviridova, A I Havkin, E. A. Yablokova, Г. В. Волынец, И. В. Садовникова, Е.Л. Туманова

Bibliographic record

VenueПедиатрическая фармакология · 2024
Typearticle
Languageen
FieldMedicine
TopicGlycogen Storage Diseases and Myoclonus
Canadian institutionsChildren’s Health Research Institute
Fundersnot available
KeywordsGlycogenGlycogen storage diseaseDiseaseGlycogen debranching enzymeMedicineNosologyBiologyPathologyGlycogen synthaseInternal medicine

Abstract

fetched live from OpenAlex

Glycogen storage disease refers to hereditary pathologies of carbohydrate metabolism, its cause is mutations of various genes encoding enzymes responsible for the synthesis and breakdown of glycogen. Due to enzyme defects, excessive glycogen deposition occurs in cells of various tissues, mainly in the liver and muscles. The authors present modern epidemiological data and features of the etiopathogenesis of glycogen storage disease, and give clinical characteristics of various types of this nosology. In accordance with the developed clinical guidelines, information is provided on laboratory, instrumental and morphological signs of glycogen storage disease in children, as well as on methods of treatment of glycogen storage disease. Due to the variety of clinical forms of glycogenosis, the article provides up-to-date information on three types of pathology that occur with predominant liver damage.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.765
Threshold uncertainty score0.680

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
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 head0.076
GPT teacher head0.407
Teacher spread0.331 · 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 designNot applicable
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

Citations0
Published2024
Admission routes1
Has abstractyes

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