Association between Hypotension in the Intensive Care Unit and Impaired Cognition after Cardiac Surgery
Bibliographic record
Abstract
Impaired cognition after surgery is poorly understood. The literature is limited by short-term and basic cognitive assessments. This thesis assesses longer-term cognitive outcomes with a battery, with the purpose of better characterizing cognitive changes beyond expected surgical recovery. A nested prospective observational cohort study within the CODEX trial, the first section of this thesis examines the association of factors with Impaired Cognition 3 months after cardiac surgery, specifically postoperative hypotension. The logistic regression model also includes age, sex, diabetes, stroke, and pre-existing Borderline Cognition. Due to the COVID-19 pandemic, the sample size to date is less than intended, but the study continues. The second section of this thesis includes two systematic review and meta-analysis projects examining the efficacy of dexmedetomidine in reducing cognitive dysfunction after cardiac and noncardiac surgery. The cardiac review found that dexmedetomidine reduced incidence of cognitive dysfunction after surgery, while the noncardiac review found a nonsignificant trend.
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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 | 0.002 | 0.011 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".