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NAFTIDROFURYL USE IN MODERATE VASCULAR COGNITIVE DISORDERS

2017· article· en· W2617807642 on OpenAlexaboutno aff
В. А. Парфенов, А. Б. Локшина, Д. А. Гришина, Yu. A. Starchina, O. V. Kosivtsova

Bibliographic record

VenueMeditsinskiy sovet = Medical Council · 2017
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsTolerabilityNootropicMedicineAnxietyCognitionDementiaVascular dementiaPlaceboPhysical therapyPsychiatryInternal medicineDiseaseAdverse effectAlternative medicine

Abstract

fetched live from OpenAlex

Prevention of progression to moderate vascular cognitive disorders (MVCD) in dementia is based on medicinal and nonmedicinal correction of major cardiovascular risk factors, at the same time antidementia, vasoactive and nootropic drugs efficiency is not proven. The own experience of use in 30 patients (22 women and 8 men) with MVCD in age from 46 to 75 years (mean age 67,1 ± 6.6 years) of Naftidrofuryl (Duzofarm) at a dose of 100 mg three times a day for 30 days is provided. After a month of treatment a significant improvement of cognitive function by the Montreal scale assessment of mental functions, the alpha-numeric coding test, and emotional state test is established as measured by the hospital scale of anxiety and depression. Good tolerability, absence of significant side effects when using Naftidrofuryl for MVCD are observed. Longer placebo-controlled studies of the effectiveness of Naftidrofuryl in patients with MVCD are needed.

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: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
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)0.0010.000

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 head0.111
GPT teacher head0.295
Teacher spread0.184 · 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
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

Citations4
Published2017
Admission routes1
Has abstractyes

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Same venueMeditsinskiy sovet = Medical CouncilSame topicNeurological Disorders and TreatmentsFrench-language works237,207