The impact of sertraline on psychomotor performance.
Bibliographic record
Abstract
INTRODUCTION: Aircrew receiving treatment for depression are grounded during treatment and follow-up observation, generally amounting to at least 1 yr. Selective serotonin re-uptake inhibitors (SSRls) offer new treatment options for depression, of which sertraline (Zoloft) has the least imposing side-effect profile. There has been considerable interest in the possibility of returning aircrew to restricted flying duties once stablized on an SSRI with resolution of depression. This study was undertaken to determine whether or not sertraline effects psychomotor performance. METHOD: There were 19 volunteer non-depressed subjects (12 men and 7 women) who were assessed for psychomotor performance during placebo and sertraline treatment, in a double-blind cross-over protocol in counter-balanced order. Each treatment arm lasted 5 wk and involved ingesting one capsule each morning. The daily sertraline dose was 50 mg during week 1, 100 mg during week 2, and 150 mg during weeks 3, 4, and 5. Subjects completed a drug side-effect questionnaire and were tested on two psychomotor test batteries once per week, on the same weekday, at the same time of day throughout each 5-wk treatment period. RESULTS: There was no significant effect of sertraline on serial reaction time, logical reasoning, serial subtraction, or multitask performance. With respect to drug side effects, there was a main effect of drugs on "getting to sleep" (p < 0.002), "awakenings" (p < 0.007), "returning to sleep" (p < 0.001), "dry mouth" (p < 0.016), "nausea" (p < 0.001), "diarrhea" (p < 0.026), "tremors" (p < 0.005), and "sweating" (p < 0.016), as well as a drug x trials interaction for "drowsiness" (p < 0.012), "libido" (p < 0.039), and "difficulty with ejaculation" (p < 0.001). There was no effect of sertraline on dizziness. CONCLUSIONS: While we found some of the expected side effects due to sertraline, there was no effect on psychomotor performance. These findings support the possibility of selected use in aircrew and should be helpful in the ongoing aeromedical discussion about this evolving issue.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 |
| 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".