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Mexidol in the rehabilitation of patients in the acute ischemic stroke

2015· article· en· W2338525624 on OpenAlexaboutno aff
O V Androfagina, Т. В. Кузнецова, А А Светкина

Bibliographic record

VenueS S Korsakov Journal of Neurology and Psychiatry · 2015
Typearticle
Languageen
FieldNeuroscience
TopicNeurological Disorders and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsMedicineRivermead post-concussion symptoms questionnaireRehabilitationStroke (engine)Ischemic strokePhysical therapyPhysical medicine and rehabilitationAcute strokeMontreal Cognitive AssessmentInternal medicineIschemiaCognitive impairmentTissue plasminogen activatorDisease

Abstract

fetched live from OpenAlex

UNLABELLED: Research objective - studying of results of a comprehensive neuro-rehabilitation patients in the acute ischemic stroke (according to the Samara regional vascular centre). MATERIAL AND METHODS: A review of the work of RVC on the main indicators for 2014, detailed analysis of 20 patients in the acute period of ischemic stroke, in which treatment was used the drug mexidol with the dynamics on standardized assessment scales (NIHSS, Rankin, Rivermead, MoCA, HADS). RESULTS AND DISCUSSION: The use of «Mexidol» in the treatment of stroke leads to a significant statistically and clinically significant improvement in cognitive, motor, sensory functions, reduction of fatigue, anxiety, improved adaptation to physical loads.

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 score0.028
Threshold uncertainty score0.199

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 head0.019
GPT teacher head0.274
Teacher spread0.255 · 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

Citations7
Published2015
Admission routes1
Has abstractyes

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