Cognitive function of pregnant women: the problem of postoperative cognitive dysfunction in women after labor
Bibliographic record
Abstract
The problem of postoperative cognitive dysfunction is relevant in obstetrics due to the initial psychophysiological state of a pregnant woman and the high frequency of abdominal delivery everywhere. When choosing the optimal method of anesthesia for a cesarean section, which would minimally affect cognitive functions, it is necessary to consider the impact of anesthesia on the memory and attention of puerperas, as well as their initial cognitive status. To assess memory and attention in women of reproductive age, in our opinion, the most appropriate tests are the MoCA-test, Benton test, Wechsler test, hospital anxiety and depression scale, and a self-assessment questionnaire. These tests are recommended by psychophysiologists and have proven themselves to be well applied in daily clinical practice. Standard test kits with a formalized (quantitative) evaluation of the results allow a rapid assessment of several cognitive functions in a limited time. This review article presents the problem of the cognitive function of pregnant women and postoperative cognitive dysfunction during pregnancy.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".