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] Design: Prospective cohort study. ### ![Graphic][4] Setting: European Schizophrenia Outpatient Health Outcomes study, Germany; recruitment January to December 2001. ### ![Graphic][5] 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] 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
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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 | 0.000 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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 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".