Stable monotherapy with clozapine or olanzapine increases the incidence of diabetes mellitus in people with schizophrenia
Bibliographic record
Abstract
Leslie DL, Rosenheck RA. Incidence of newly diagnosed diabetes attributable to atypical antipsychotic medications. Am J Psychiatry 2004;161:1709–11.[OpenUrl][1][CrossRef][2][PubMed][3][Web of Science][4] Q Does stable antipsychotic monotherapy increase the risk of diabetes mellitus and diabetic ketoacidosis in people with schizophrenia? ### ![Graphic][5]</img>Design: Prospective cohort study. ### ![Graphic][6]</img>Follow up period: 25 months. ### ![Graphic][7]</img>Setting: Department of Veterans Affairs Connecticut Mental Illness Research, Education and Clinical Center, USA; recruitment June 1999 to September 2000. ### ![Graphic][8]</img>People: 56 849 people with schizophrenia who received a stable regimen of antipsychotic monotherapy in any 3 month period during the recruitment phase of the study. Exclusions: ziprasidone and aripiprazole; less than two primary care visits in the previous 6 months; or previous diagnosis of diabetes mellitus. ### ![Graphic][9]</img>Risk factors: Participants diagnosed with diabetes mellitus or hospitalised with diabetic ketoacidosis were identified from the Department of Veterans Affairs and were predominantly … [1]: {openurl}?query=rft.jtitle%253DAmerican%2BJournal%2Bof%2BPsychiatry%26rft.stitle%253DAm.%2BJ.%2BPsychiatry%26rft.aulast%253DLeslie%26rft.auinit1%253DD.%2BL.%26rft.volume%253D161%26rft.issue%253D9%26rft.spage%253D1709%26rft.epage%253D1711%26rft.atitle%253DIncidence%2Bof%2BNewly%2BDiagnosed%2BDiabetes%2BAttributable%2Bto%2BAtypical%2BAntipsychotic%2BMedications%26rft_id%253Dinfo%253Adoi%252F10.1176%252Fappi.ajp.161.9.1709%26rft_id%253Dinfo%253Apmid%252F15337666%26rft.genre%253Darticle%26rft_val_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Ajournal%26ctx_ver%253DZ39.88-2004%26url_ver%253DZ39.88-2004%26url_ctx_fmt%253Dinfo%253Aofi%252Ffmt%253Akev%253Amtx%253Actx [2]: /lookup/external-ref?access_num=10.1176/appi.ajp.161.9.1709&link_type=DOI [3]: /lookup/external-ref?access_num=15337666&link_type=MED&atom=%2Febmental%2F8%2F1%2F24.atom [4]: /lookup/external-ref?access_num=000223800600029&link_type=ISI [5]: /embed/inline-graphic-1.gif [6]: /embed/inline-graphic-2.gif [7]: /embed/inline-graphic-3.gif [8]: /embed/inline-graphic-4.gif [9]: /embed/inline-graphic-5.gif
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".