Melatonin Increasingly Used in Hospitalized Patients
Bibliographic record
Abstract
The frequency of melatonin use for insomnia in hospitalized patients is unknown. This study assessed temporal trends of melatonin use in the hospital and compared them with those of use of zopiclone and lorazepam. We performed a retrospective observational study over 6 years from January 2013 to December 2018 at two academic urban hospitals in Toronto, Canada. We abstracted pharmacy dispensing data and standardized rates of medication use by inpatient days. Melatonin use increased from almost none to more than 70 doses per 1,000 inpatient days during 2013-2018, while zopiclone use decreased by 20 doses per 1,000 inpatient days. Melatonin use was twice as high at one hospital and was higher on internal medicine and critical care. Overall use of the three medications increased by 25.7%, which mainly reflects a marked increase in melatonin use. Melatonin is likely being used in a proportion of patients who would not otherwise have received a sleep medication.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 source (direct Gemma or distilled Codex), 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".