Clozapine may be more effective than olanzapine for reducing suicidal behaviour in people with schizophrenia at high risk
Bibliographic record
Abstract
Meltzer HY, Alphs L, Green AI et al. Clozapine treatment for suicidality in schizophrenia. International Suicide Prevention Trial (InterSePT). Arch Gen Psychiatry2003 , Jan; 60 : 82 –91 [OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] QUESTION: Compared with olanzapine, how effective is clozapine for preventing suicidal behaviour among people with schizophrenia or schizoaffective disorder? Randomised open label trial with masked outcome raters. 67 centres in 11 countries (Argentina, Canada, Chile, Croatia, Czech Republic, France, Hungary, Italy, South Africa, United Kingdom, United States); March 1998 - February 2001. 980 people aged 16–65 years with schizophrenia (62%) or schizoaffective disorder (38%) considered at high risk for suicide based on current suicidal ideation, suicide attempts, or preventive hospitalisation within 3 years. Mean age 37 years; 39% women; 71% white; 27% treatment refractory. Participants were randomised to receive olanzapine or clozapine daily. The mean daily doses of olanzapine and clozapine prescribed were 16.6 mg and 274.2 … [1]: {openurl}?query=rft.jtitle%253DArchives%2Bof%2BGeneral%2BPsychiatry%26rft.stitle%253DArch%2BGen%2BPsychiatry%26rft.aulast%253DMeltzer%26rft.auinit1%253DH.%2BY.%26rft.volume%253D60%26rft.issue%253D1%26rft.spage%253D82%26rft.epage%253D91%26rft.atitle%253DClozapine%2BTreatment%2Bfor%2BSuicidality%2Bin%2BSchizophrenia%253A%2BInternational%2BSuicide%2BPrevention%2BTrial%2B%2528InterSePT%2529%26rft_id%253Dinfo%253Adoi%252F10.1001%252Farchpsyc.60.1.82%26rft_id%253Dinfo%253Apmid%252F12511175%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/external-ref?access_num=10.1001/archpsyc.60.1.82&link_type=DOI [3]: /lookup/external-ref?access_num=12511175&link_type=MED&atom=%2Febmental%2F6%2F3%2F93.atom [4]: /lookup/external-ref?access_num=000180286800010&link_type=ISI
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 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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.011 | 0.001 |
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".