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Record W4408592040 · doi:10.34922/ae.2024.37.6.007

КЛИНИЧЕСКИЕ ДЕТЕРМИНАНТЫ ДЛЯ ТАРГЕТНОГО ВОЗДЕЙСТВИЯ НЕЙРОКОГНИТИВНОЙ РЕАБИЛИТАЦИИ У ПАЦИЕНТОВ ПОЖИЛОГО И СТАРЧЕСКОГО ВОЗРАСТА С МЯГКИМ КОГНИТИВНЫМ СНИЖЕНИЕМ

2025· article· ru· W4408592040 on OpenAlexaboutno aff
М.В. Курмышев, O M Ivko, А.С. Пономарев, А.А. Гаврилова, Э.В. Фесенко, К. И. Прощаев, М.С. Литвинов

Bibliographic record

VenueУспехи геронтологии · 2025
Typearticle
Languageru
FieldNeuroscience
TopicNeurological Disease Mechanisms and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsComputer science

Abstract

fetched live from OpenAlex

Цель исследования — оптимизация когнитивных способностей пациентов пожилого и старческого возраста в ходе внедрения программы нейрокогнитивной реабилитации. Разработана программа нейрокогнитивной реабилитации, в которой участвовали 729 пациентов 60–89 лет (средний возраст — 72,5±5,7 года). Программа стандартизирована и состоит их трех последовательных сегментов: 1-я неделя — диагностический сегмент, 2–5-я недели — основной реабилитационный сегмент, 6-я не деля — заключительный. Использование предложенной модели нейрокогнитивной реабилитации у пациентов пожилого и старческого возраста с мягким когнитивным снижением приводит к статистически значимому улучшению когнитивного статуса как ключевой цели реабилитации по краткой шкале оценки психического статуса в группах риска развития того или иного варианта деменции: в 1-й группе — с 24,3±0,4 до 27,2±0,4 балла, во 2-й — с 25,1±0,3 до 27±0,2, в 3-й — с 24±0,3 до 27,3±0,2; по Монреальской шкале оценки когнитивных функций: в 1-й группе — с 22,3±0,4 до 27,3±0,3 бал ла, во 2-й — с 21,8±0,6 до 27,1±0,2, в 3-й — с 21,7±0,7 до 26,9±0,5. Применение разработанной программы нейрокогнитивной реабилитации у лиц пожилого и старческого возраста оказывает плейотропное действие в виде снижения уровня тревоги и депрессии, улучшения качества сна и стабилизации гериатрического статуса. The aim of the study is to optimize the cognitive abilities of elderly and senile patients during the implementation of a neurocognitive rehabilitation program. A neurocognitive rehabilitation program was developed, during which 729 patients aged 60–89 years (average age 72,5+5,7 years) participated. The program is standardized and consists of three consecutive segments: 1 week — diagnostic segment, 2–5 weeks — main rehabilitation segment, 6 weeks — final. The proposed model of neurocognitive rehabilitation in elderly and senile patients with mild cognitive decline leads to a statistically significant improvement in cognitive status as a key goal of rehabilitation according to the mental function assessment scale in dementia risk groups: in the 1st group — from 24,3±0,4 to 27,2±0,4 points, in the 2nd group — from 25,1±0,3 to 27±0,2 points, in the 3rd group — from 24±0,3 to 27,3±0,2 points; according to the Montreal cognitive function assessment scale: in the 1st group — from 22,3±0,4 to 27,3±0,3 points, in the 2nd group — from 21,8±0,6 to 27,1±0,2 points, in the 3rd group — from 21,7±0,7 to 26,9±0,5 points. The developed and proposed model of neurocognitive re habilitation for the elderly and senile has pleiotropic effects in the form of reducing anxiety and depression, improving sleep quality and stabilizing geriatric status.

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)0.003
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.045
Threshold uncertainty score0.152

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.008
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0030.002
Science and technology studies0.0040.006
Scholarly communication0.0110.006
Open science0.0010.003
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0450.014

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 head0.024
GPT teacher head0.292
Teacher spread0.268 · 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 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

Citations0
Published2025
Admission routes1
Has abstractyes

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