Is there an association between neurocognitive performance and medication adherence in first episode psychosis?
Bibliographic record
Abstract
AIM: Medication adherence is a determining factor for symptomatic remission and relapse prevention following a first episode of psychosis (FEP). Neurocognitive abilities have received only scant attention so far as a risk factor for poor adherence but significant impairments with memory and/or planning abilities could play a role. We examined early medication adherence following admission to a specialized clinical programme for FEP. METHOD: One hundred sixty FEP participants and 35 healthy controls completed an exhaustive neurocognitive assessment. FEP participants were categorized as a function of their medication adherence at 6 months into poor (n = 34), partial (n = 27) and full (n = 99) adherence, respectively. Domain-specific and global measures of cognitive ability were examined. RESULTS: No measure of neurocognition could significantly discriminate amongst the three medication adherence groups. CONCLUSION: These results suggest no strong associations between neurocognitive abilities and medication adherence in first episode of psychosis.
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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 | 0.001 | 0.008 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".