Clozapine and Global Cognition in Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: Clozapine (CLZ) has been shown to have a beneficial effect on cognition in schizophrenia in some studies and a detrimental effect in others. The relative effect and exposure to CLZ and its major metabolite-N-desmethylclozapine (NDMC)-could explain these discrepancies. METHODS: Using a validated measure of global cognition, we performed 2 binary logistic regression models to assess the relationship among cognition, age, sex, CLZ dose, CLZ and NDMC plasma levels, and their ratio (CLZ/NDMC) in individuals with schizophrenia spectrum disorders. Model 1 included age, sex, CLZ dose, and CLZ and NDMC levels. Model 2 included age, sex, CLZ dose, and CLZ/NDMC. RESULTS: Among 73 subjects (mean [SD] age, 41.6 [12.0] years), 16 (21.9%) had high cognitive impairment, whereas the rest had low cognitive. In model 1, age and CLZ level were associated with high cognitive impairment (odds ratio [95% confidence interval] for age, 1.079 [1.011-1.152]; CLZ level, 1.010 [1.003-1.017]), whereas NDMC level was associated with its absence (NDMC level, 0.987 [0.977-0.997]). In model 2, age, male sex, and CLZ/NDMC were associated with cognitive impairment (age, 1.083 [1.015-1.154]; sex, 0.178 [0.032-0.994]; CLZ/NDMC, 7.302 [1.823-29.253]). Clozapine dose was not associated with cognition in either model. CONCLUSIONS: After controlling for age, sex, and dose, CLZ/NDMC was more strongly associated with cognition than CLZ or NDMC levels. N-desmethylclozapine agonist activity versus CLZ antagonist activity at the muscarinic receptors could explain the strength of the association of CLZ/NDMC with cognition.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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 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".