Minimising the risk of diabetes in patients with schizophrenia and bipolar disorder
Bibliographic record
Abstract
Objective. Patients with schizophrenia and bipolar disorder demonstrate a higher prevalence of abnormalities of glucose metabolism and are at risk of developing type 2 diabetes. Certain antipsychotics may unmask or exacerbate abnormalities of glucose metabolism. Type 2 diabetes is associated with considerable morbidity and mortality; therefore, minimising the risk of developing diabetes is of significant importance for the long-term health of patients. Methods. A search of studies published between January 1975 and November 2005 was performed. Results. Based on the evidence reviewed, clinical strategies are suggested for limiting the risk of developing diabetes in patients with schizophrenia or bipolar disorder. Epidemiological studies examining the risk of diabetes in patients treated with atypical antipsychotics are also examined in addition to mechanistic studies investigating how these effects might occur. Conclusion. An increased risk of diabetes with some atypical antipsychotics should not deter physicians from using these agents in patients with schizophrenia or bipolar disorder, but it is recommended that antipsychotic therapy be carefully selected in those patients at greatest risk of developing diabetes or metabolic syndrome. Appropriate management and regular monitoring of patients receiving antipsychotics should minimise the risk of patients with schizophrenia or bipolar disorder developing diabetes.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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".