Recruitment and Treatment Practices for Help-Seeking "Prodromal" Patients
Bibliographic record
Abstract
The prodrome of psychosis has become a target for early identification and for treatments that address both symptoms and risk for future psychosis. Interest and activity in this realm is now worldwide. Clinical trials with rigorous methodology have only just begun, making treatment guidelines premature. Despite the sparse evidence base, treatments are currently applied to patients in the new prodromal clinics, usually treatments developed for established psychosis and modified for the prodromal phase. This communication will describe representative samplings of how treatment-seeking prodromal patients are currently recruited and treated in prodromal clinics worldwide. Recruitment includes how prodromal patients are sought, initially evaluated, apprised of their high-risk status, and informed of the risks and benefits of prodromal treatments and how their mental state is monitored over time. The treatment modalities offered (and described) include engagement, supportive therapy, case management, stress management, cognitive behavioral treatment, family-based treatment, antipsychotic pharmacotherapy, and non-antipsychotic pharmacotherapy. References for details are noted.
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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) | 0.000 | 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 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".