Acute Treatment Response and Its Predictors in Patients With First-Episode Psychosis in Iran
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVE: The aim of this paper was to investigate the acute treatment response and its predictors in a sample of patients with first-episode psychosis admitted to a psychiatric hospital in Iran. METHOD: A total of 163 patients with first-episode psychosis were treated with antipsychotics and other medications as prescribed by their treating psychiatrists. Sociodemographic and premorbid data at baseline and clinical data at both baseline and discharge (6+/-1 weeks after admission) were collected. RESULTS: Patients showed a response rate of 71.4% for negative symptoms, 91.5% for positive symptoms and 67.5% for functioning. Those having a positive family history and less severe negative symptoms at baseline were less likely to respond in terms of negative symptoms. Higher premorbid and lower baseline functioning as well as acute onset were associated with the treatment response. CONCLUSIONS: Acute treatment response of first-episode psychosis in a clinical sample of a developing country seems to be higher than that of developed countries. However, predictors of response are comparable.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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) | 0.000 | 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 it