The effect of hopanthenic acid on the development of cognitive disorders in patients with a mine blast injury
Bibliographic record
Abstract
Background. In the conditions of hostilities in Ukraine, the number of victims ofmine- explosive injuries among both the military and the civilian population is increasing. These injuries lead to serious damage to the organs and body systems, as well as to the development of various psychological disorders, such as cognitive disorders. The purpose of this paper is to study and correct cognitive disorders in patients with brain concussion due to a mine-explosive injury, using the calcium salt of hopantenic acid. Materials and Methods. For this, the patients underwent the Montreal scale of cognitive function assessment (MoCA), the short mental status assessment scale (MMSE), word encryption tests, and word recall tests. Results. The study was conducted three times, immediately after the injury, and 14 and 21 days later. In the course of the study, it was found that therapy with the calcium salt of hopantenic acid significantly improved neuropsychological indicators (increase in the total MMSE score) and reduced the patient’s cognitive deficit, improved concentration and short-term memory. Conclusions. Thus, the hopantenic acid effectively reduces cognitive impairment in patients with brain concussion due to a mine-explosive injury and is recommended for the treatment of this group of patients.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".