NEUROPSYCHOLOGICAL SEQUELLAE AND LIFE QUALITY OF PATIENTS AFTER SURGICAL TREATMENT OF CEREBRAL ANEURYSMS
Bibliographic record
Abstract
Objective. To estimate the life quality level, neuropsychological status and cognitive functions in patients with cerebral aneurysms in early and delayed period after surgical treatment. Material and methods. 140 patients with cerebral aneurysms operated in Military State Academy were examined in early and delayed postoperative periods. The SF-36 questionary, was used for estimation of life quality, anxiety level — Hamilton Rating Scale, cognitive functions - Mini Mental State Examination, Montreal Cognitive Assessment and battery of tests for estimation of frontal dysfunction. Results. The decrease of life quality was revealed according to all subscales of SF-36 questionary in patients suffered from hemorrhage as well as deterioration of emotional aspect of life quality in patients with unruptured cerebral aneurysms. The cognitive dysfunctions are observed in half of patients with ruptured aneurysms in delayed postoperative period. The postoperative cognitive dysfunctions in patients with unruptured aneurysms were fragility and were not seen in delayed postoperative period. Conclusion . The decrease of life quality and development of neuropsychological deficit are the often consequences of aneurysmal subarachnoid hemorrhage and surgical treatment of cerebral aneurysms in patients with good neurological outcomes with more expressed negative effect on these aspects after open surgery comparing with endovascular treatment.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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".