Predictors of symptomatic remission in people with schizophrenia identified
Bibliographic record
Abstract
Lambert M, Schimmelmann BG, Naber D, et al . Prediction of remission as a combination of symptomatic and functional remission and adequate subjective well-being in 2960 patients with schizophrenia. J Clin Psychiatry 2006;67:1690–7.[OpenUrl][1][PubMed][2] Q What are the predictors of remission in outpatients with schizophrenia? ### ![Graphic][3]</img>Design: Prospective cohort study. ### ![Graphic][4]</img>Setting: European Schizophrenia Outpatient Health Outcomes study, Germany; recruitment January to December 2001. ### ![Graphic][5]</img>Population: 2960 adult outpatients with DSM-IV schizophrenia either switching to or beginning a new antipsychotic (mean age 42 years; 49% male). Exclusions: IQ ⩽70, other DSM-IV schizophrenia spectrum disorders, bipolar I disorder, or psychotic disorder. ### ![Graphic][6]</img>Prognostic factors: Baseline predictors: age; gender; illness duration; symptoms (Clinical Global Impressions-Severity of Illness (CGI)-Schizophrenia scale overall severity score subscale scores). Functional predictors included occupational status, independent living and subjective wellbeing (Subjective Wellbeing Under Neuroleptic Treatment Scale (SWN-K)). Antipsychotic treatment factors included first antipsychotic, neurological side effects, and … [1]: {openurl}?query=rft.jtitle%253DJ%2BClin%2BPsychiatry%26rft.volume%253D67%26rft.spage%253D1690%26rft_id%253Dinfo%253Apmid%252F17196047%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=17196047&link_type=MED&atom=%2Febmental%2F10%2F3%2F73.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
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 | 0.001 |
| 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".