Diabetes Resolution Following Discontinuation of a Second-Generation Antipsychotic
Bibliographic record
Abstract
Introduction Schizophrenia patients have higher rates of type 2 diabetes mellitus (T2DM) than population comparisons and, in conjunction with highly prevalent obesity and cardiovascular disease, this translates into a 20% reduced life expectancy (1). Unfortunately, despite arguably better outcomes in several psychiatric domains including symptoms, cognition and quality of life, the mortality gap for patients is not narrowing but may indeed be widening (2). Preferential use of second-generation antipsychotics (SGAs) as opposed to older (first-generation antipsychotics, FGAs) antipsychotics may account for the widening mortality gap (3). This is because research has confirmed a link between SGA use and development of T2DM and other metabolic complications (1). Conversely, very little evidence has accumulated that would support a connection between discontinuation of SGAs and diabetes resolution, although implications in the prevailing context would be important. Here, we describe three cases of diabetes onset with SGA treatment and confirmed resolution after switch to an FGA.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 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) | 0.001 | 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 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".