COMPREHENSIVE ASSESSMENT OF THE PREVALENCE OF DEMENTIA AFTER STROKE
Bibliographic record
Abstract
В качестве причины осложнений у больных, перенесших Инсульт, обращено внимание на деменции. Причин переливания крови в головной мозг или дефицита крови много. В статье представлены тесты, проводимые с целью выявления повреждения когнитивных функций ранним признаком деменции (шкала MMSE, Монреальская когнитивная шкала (MoCA)). Оценка их эффективности, чувствительности и преимущества. Цель: Оценка распространенности постинсультной деменции по шкалам MMSE, Монреальская когнитивная (MoCA). Результаты: В исследовании приняли участие 255 респондентов, из них мужчины составили 54,2%, женщины-45,8%. Встречаемость когнитивных расстройств с диагнозами i63.3, I61.0, G45.8, I 60.1 по МКБ-10 инсульта оценивали 100 больных по шкале MMSE и 155 больных по Монреальской когнитивной шкале (MoCA). В этом исследовании было установлено, что определение деменции в раннем этапе наиболее эффективна этим шкалам. Заключение: При осмотре больного когнитивные нарушения первого проявления инсульта существенно не учитываются при обследовании больного. Это, в свою очередь, негативно сказывается на проведении лечебно-оздоровительных мероприятий, снижает прогностические возможности реабилитационного процесса. Поэтому необходимым компонентом комплексного обследования пациента с инсультом должно быть определение тяжести когнитивного дефицита. As a cause of complications in Stroke patients, attention is drawn to dementia. There are many reasons for blood transfusion to the brain or blood deficiency. The article presents tests conducted to identify damage to cognitive functions by an early sign of dementia (MMSE scale, Montreal Cognitive Scale (MoCA)). Evaluation of their effectiveness, sensitivity and advantages. Objective: Assessment of the prevalence of post-stroke dementia according to MMSE scales, Montreal Cognitive (MoCA). Results: 255 respondents took part in the study, of which 54.2% were men and 45.8% were women. The incidence of cognitive disorders with diagnoses i63.3, I61.0, G45.8, I 60.1 according to ICD10 stroke was assessed in 100 patients on the MMSE scale and 155 patients on the Montreal Cognitive Scale (MoCA). In this study it was found that the definition of dementia at an early stage is most effective for these scales. Сonclusions: When examining a patient, cognitive impairments of the first manifestation of stroke are not significantly taken into account when examining a patient. This, in turn, has a negative impact on the conduct of therapeutic and recreational activities, reduces the prognostic possibilities of the rehabilitation process. Therefore, a necessary component of a comprehensive examination of a stroke patient should be to determine the severity of cognitive deficits.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".