Novel Sublingual Low-Dose Zolpidem Tablet Reduces Latency to Sleep Onset following Spontaneous Middle-of-the-Night Awakening in Insomnia in a Randomized, Double-Blind, Placebo-Controlled, Outpatient Study
Bibliographic record
Abstract
STUDY OBJECTIVES: To evaluate efficacy and safety of 3.5-mg zolpidem tartrate sublingual tablets (ZST) on latency to sleep onset after middle-of-the-night (MOTN) awakenings in patients with insomnia characterized by difficulty returning to sleep after MOTN awakenings. DESIGN: Multicenter randomized, double-blind, placebo-controlled, parallel-group. SETTING: Outpatient. PATIENTS: There were 295 adults (median age 43 y; 68.1% female) with primary insomnia and difficulty returning to sleep after MOTN awakenings (three or more MOTN awakenings/wk during screening). INTERVENTIONS: After a 2-wk, single-blind placebo eligibility period, participants were randomized 1:1 to as-needed MOTN dosing with 3.5 mg ZST or placebo for 28 nights. An interactive voice response system determined if the study drug could be taken and recorded sleep/wake efficacy measures. RESULTS: ZST significantly (P < 0.0001) decreased latency to sleep onset over 4 wk (baseline 68.1 min; ZST 38.2 min) compared with placebo (baseline 69.4 min; placebo 56.4 min). Ratings of morning sleepiness/alertness significantly (P = 0.0041) favored the ZST group on nights medication was taken but not on other nights. Participants in the ZST group took the study drug on 62% of nights during the 4 wk; members of the placebo group took study medication on 64% of nights. Adverse events were generally mild and at the same rate (19.3% of participants) in both groups. There were no treatment-related serious adverse events (SAEs), and one adverse event-related study discontinuation from the placebo group. Dosing/week did not increase across the study. CONCLUSIONS: 3.5 mg ZST used as needed significantly reduced latency to return to sleep in comparison with placebo in these patients with insomnia. Sleep quality was improved, and morning sleepiness/alertness scores also improved. ZST was well tolerated. These data demonstrate the utility of a sleep-promoting agent when used as needed in the MOTN. CLINICAL TRIALS REGISTRATION: NCT00466193: "A Study of Zolpidem Tartrate Tablet in Adult Patients with Insomnia" http://www.clinicaltrials.gov/ct2/show/NCT00466193?spons=%22Transcept+Pharmaceuticals%22&spons_ex=Y&rank=2
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".