In adults with intellectual disability, discontinuation of antipsychotics is associated with reduction in weight, BMI, waist circumference and blood pressure
Bibliographic record
Abstract
Commentary on: de Kuijper G, Mulder H, Evenhuis H, et al. Effects of controlled discontinuation of long-term used antipsychotics on weight and metabolic parameters in individuals with intellectual disability. J Clin Psychopharmacol 2013;33:520–4.[OpenUrl][1][CrossRef][2][PubMed][3] The prevalence of psychotropic drug use, particularly antipsychotics in patients with intellectual disability (ID), is high. The use of such agents for behavioural control frequently represents off-label use and is not supported by current guidelines.1 Certain psychiatric populations are very … [1]: {openurl}?query=rft.jtitle%253DJ%2BClin%2BPsychopharmacol%26rft.volume%253D33%26rft.spage%253D520%26rft_id%253Dinfo%253Adoi%252F10.1097%252FJCP.0b013e3182905d6a%26rft_id%253Dinfo%253Apmid%252F23775048%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=10.1097/JCP.0b013e3182905d6a&link_type=DOI [3]: /lookup/external-ref?access_num=23775048&link_type=MED&atom=%2Febnurs%2F17%2F3%2F89.atom
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| 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".