Generalizability of the Results of Efficacy Trials in First-Episode Schizophrenia
Bibliographic record
Abstract
OBJECTIVE: Most randomized drug trials in schizophrenia exclude patients with comorbidities such as suicidality or substance use, which may limit the generalizability of the results. We aimed to evaluate the generalizability of the results of these trials in participants of a randomized clinical trial with broad inclusion criteria. METHOD: In 50 sites in 14 countries, 498 patients with first-episode psychosis (DSM-IV schizophrenia, schizoaffective disorder, or schizophreniform disorder) were recruited between December 2002 and January 2006 in an open, randomized clinical drug trial with 12 months of follow-up. Baseline characteristics and follow-up data were compared between patients with versus patients without baseline suicidality and/or substance use. RESULTS: Of the 489 participants with data on baseline suicidality and substance use, 153 (31%) patients were suicidal and/or using substances. Groups differed on only a few of the many baseline characteristics tested: comorbid patients were younger (25.1 vs 26.5 years of age; P < .01), less often female (25% vs 47%; P < .001) or married (4% vs 17%; P < .001), had fewer years of education (11.8 vs 12.8; P < .001), and experienced lower levels of overall psychosocial functioning (Global Assessment of Functioning; 38.4 vs 40.8; P <or= .05) and higher levels of depression (Calgary Depression Scale for Schizophrenia; 6.1 vs 4.6; P < .001). At follow-up, comorbid patients showed shorter time to (re)hospitalization and reported higher levels of depression than patients without comorbidity (hazard ratio = 2.02, P = .004; chi(2)(7) = 17.25, P = .016, respectively), without differences on other outcome measures. CONCLUSIONS: Although it appears that the generalizability of antipsychotic treatment trials in first-episode patients is not seriously affected by the exclusion of patients with suicidal symptoms and/or substance use, researchers should be cautious about the exclusion of such patients. TRIAL REGISTRATION: controlled-trials.com Identifier: ISRCTN68736636.
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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 | 0.437 | 0.645 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.008 | 0.017 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.002 | 0.008 |
| Scholarly communication | 0.008 | 0.006 |
| Open science | 0.004 | 0.005 |
| Research integrity | 0.008 | 0.006 |
| Insufficient payload (model declined to judge) | 0.009 | 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".