Interventions to Reduce Weight Gain in Schizophrenia
Bibliographic record
Abstract
Obesity is a common problem for individuals with schizophrenia, a problem that has been exacerbated more recently with the increased use of second-generation antipsychotics, many of which are associated with the risk of weight gain and metabolic disturbance. Recently, a Cochrane review has been published examining pharmacological and nonpharmacological (diet/exercise) interventions for reducing and/or preventing weight gain in this population. The objective of the review was to determine the effects of both pharmacological (excluding medication switching) and nonpharmacological strategies for reducing or preventing weight gain in individuals with schizophrenia. We searched key databases and the Cochrane Schizophrenia Group's trials register and reference sections within relevant articles, hand searched key journals, and contacted the first author of each relevant study and other experts to collect further information. All clinical randomized controlled trials (RCTs) comparing any pharmacological or nonpharmacological intervention for weight gain (eg, diet and exercise counseling including elements of cognitive and/or behavioral modification) with standard care or other treatments for individuals with schizophrenia or schizophrenia-like illnesses were selected.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.002 |
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; both teacher heads agree on what is shown here.
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".