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Record W1487208035

Содержание нейроспецифических белков при когнитивных нарушениях у пациентов с сахарным диабетом 1-го типа

2014· article· ru· W1487208035 on OpenAlexaboutno aff
Новоселова Мария Владимировна, Самойлова Юлия Геннадьевна, Жукова Наталья Григорьевна

Bibliographic record

VenueКлиническая медицина · 2014
Typearticle
Languageru
FieldMedicine
TopicGDF15 and Related Biomarkers
Canadian institutionsnot available
Fundersnot available
KeywordsNeuropsychologyMontreal Cognitive AssessmentCognitionMedicineDiabetes mellitusCognitive deficitInternal medicineCognitive declineDiseaseCognitive impairmentPsychiatryPediatricsPsychologyGerontologyEndocrinologyDementia
DOInot available

Abstract

fetched live from OpenAlex

Type 1 diabetes mellitus (DM1) is a widespread metabolic disease of social significance due to early disability in young patients and reduced life expectancy. One of the DM1 complications is CNS lesions resulting in cognitive dysfunction mediated through metabolic disorders. This condition can be partly or completely reversed if diagnosed and treated at an early stage. The aim of this study was to determine the level of neurospecific proteins in 58 patients aged 16-30 years with type 1 diabetes mellitus and cognitive disorders in comparison with 29 healthy controls of similar age. All the participants underwent neuropsychological testing based on the Montreal scale for rapid screening of cognitive disorders (MoCA-test). Protein S100, glialfibrillary acidic protein, and myelin basic protein served as early markers of cognitive dysfunction. The study revealed an enhanced level of neurospecific proteins that correlated with hyperglycemia and cognitive deficit (MoCA score 26).

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)0.003
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
Consensus categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.536
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.001
Meta-epidemiology (narrow)0.0020.002
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0010.002
Science and technology studies0.0010.001
Scholarly communication0.0000.001
Open science0.0020.001
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0090.023

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 head0.006
GPT teacher head0.229
Teacher spread0.223 · 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; both teacher heads agree on what is shown here.

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
Published2014
Admission routes1
Has abstractyes

Explore more

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