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Record W2388131358

[Cognitive impairment in patients with diabetes mellitus type 2 and possibilities of its treatment].

2014· article· en· W2388131358 on OpenAlexaboutno aff
Esin Rg, Pozdniak Ao

Bibliographic record

VenuePubMed · 2014
Typearticle
Languageen
FieldMedicine
TopicGinkgo biloba and Cashew Applications
Canadian institutionsnot available
Fundersnot available
KeywordsGinkgo bilobaMedicineCognitionCognitive impairmentType 2 Diabetes MellitusDiabetes mellitusMontreal Cognitive AssessmentDementiaInternal medicinePsychiatryPharmacologyDiseaseEndocrinology
DOInot available

Abstract

fetched live from OpenAlex

OBJECTIVE: To identify the most frequently affected cognitive functions and to study the efficacy of Ginkgo biloba (EGb 761). MATERIAL AND METHODS: We examined 120 patients with diabetes mellitus type 2. To assess cognitive dysfunction, we used MMSE, MoCa test, TMT (Part A and B). RESULTS AND CONCLUSION: Cognitive impairment characterized by a decrease in attention, short-term memory, speed of thinking was identified in 85% of patients; 83% of them had a mild cognitive impairment. The study showed that the standardized extract of Ginkgo biloba (EGb 761) used in dose 240 mg per day during one month had a positive effect on cognitive function.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.065
Threshold uncertainty score0.201

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.011
GPT teacher head0.217
Teacher spread0.206 · 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 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

Citations2
Published2014
Admission routes1
Has abstractyes

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