Early intervention has no effect on symptoms in people with first episode, non-affective psychosis, although it may improve overall function and medication adherence
Bibliographic record
Abstract
Garety PA, Craig TKJ, Dunn G, et al . Specialised care for early psychosis: symptoms, social functioning and patient satisfaction—randomised controlled trial. Br J Psychiatry 2006;188:37–45.[OpenUrl][1][Abstract/FREE Full Text][2] Q Does early intervention improve symptoms, treatment adherence, and functioning in people with early stage psychosis? ### ![Graphic][3]</img>Design: Randomised controlled trial. ### ![Graphic][4]</img>Allocation: Concealed. ### ![Graphic][5]</img>Blinding: Unclear. ### ![Graphic][6]</img>Follow up period: 18 months. ### ![Graphic][7]</img>Setting: Inner city borough of London (Lambeth), UK; recruitment from January 2000 to June 2001. ### ![Graphic][8]</img>Patients: 144 people (aged 16–40 years) with first episode, non-affective psychosis (ICD-10). Exclusions: substance abuse disorders, organic psychosis. ### ![Graphic][9]</img>Intervention: Specifically adapted interventions, including cognitive behavioural therapy, medication management, vocational support, and family interventions provided by early onset psychosis mental health team. Comparator: standard generic community services; no special training or specially adapted support. ### ![Graphic][10]</img>Outcomes: Clinical state (Positive and Negative Syndrome Scale (PANSS)); overall functioning (Global Assessment of Functioning (GAF)); depression (Calgary Depression Rating); treatment … [1]: {openurl}?query=rft.jtitle%253DThe%2BBritish%2BJournal%2Bof%2BPsychiatry%26rft.stitle%253DBr.%2BJ.%2BPsychiatry%26rft.aulast%253DGARETY%26rft.auinit1%253DP.%2BA.%26rft.volume%253D188%26rft.issue%253D1%26rft.spage%253D37%26rft.epage%253D45%26rft.atitle%253DSpecialised%2Bcare%2Bfor%2Bearly%2Bpsychosis%253A%2Bsymptoms%252C%2Bsocial%2Bfunctioning%2Band%2Bpatient%2Bsatisfaction%253A%2BRandomised%2Bcontrolled%2Btrial%26rft_id%253Dinfo%253Adoi%252F10.1192%252Fbjp.bp.104.007286%26rft_id%253Dinfo%253Apmid%252F16388068%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/ijlink?linkType=ABST&journalCode=bjprcpsych&resid=188/1/37&atom=%2Febmental%2F9%2F3%2F69.atom [3]: /embed/inline-graphic-1.gif [4]: /embed/inline-graphic-2.gif [5]: /embed/inline-graphic-3.gif [6]: /embed/inline-graphic-4.gif [7]: /embed/inline-graphic-5.gif [8]: /embed/inline-graphic-6.gif [9]: /embed/inline-graphic-7.gif [10]: /embed/inline-graphic-8.gif
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.
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.002 |
| 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".