Topiramate-induced weight loss in schizophrenia: a retrospective case series study.
Bibliographic record
Abstract
OBJECTIVE: Atypical antipsychotics have been associated with weight gain. This study examines the efficacy of adjunctive topiramate in patients with schizophrenia and schizoaffective disorder with antipsychotic-induced weight gain. METHODS: A 2-year retrospective case analysis was performed in all 300 patients of the outpatient Special Follow-up Clinic for chronic schizophrenia and related psychoses at the Allan Memorial Institute, McGill University Health Centre (Montreal, Canada), a tertiary care University teaching hospital. RESULTS: 10 patients met study inclusion criteria. Mean daily topiramate dose was 197.5 mg (A+/-77) (range, 125-400 mg). Topiramate produced continued weight loss throughout the study duration without tolerance. Patients treated for 6 months and more had significantly higher Body Mass Index (BMI) differences than those treated for shorter durations (BMI-d6 months=-4.7A+/-2.4; BMI-d2 months=-3.2A+/-2.3; P=0.015). BMI changes were similar across genders. CONCLUSION: This study supports topiramate use to target weight loss in stable overweight schizophrenic patients as a potential therapy that requires further investigation.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".