Effects of pharmacological therapy on sleep quality in a postoperative setting: A systematic review of randomized controlled trials
Bibliographic record
Abstract
Abstract Background and Aims: Postoperative sleep disturbances are associated with delayed recovery and increased incidences of complications. This systematic review aims to determine the impact of perioperative pharmacological therapies on postoperative sleep quality in the hospital. Material and Methods: We searched MEDLINE, MEDLINE ePubs and In-Process Citations (Daily), Embase Classic + Embase, Cochrane Central Register of Controlled Trials, Cochrane Database of Systematic Reviews, and PubMed for randomized controlled trials (RCTs) from inception to May 2022, with continued literature surveillance until August 2023. Studies included consisted of noncardiac surgical patients aged ≥18 years with postoperative sleep in the hospital. The primary outcome was improvement in postoperative sleep outcomes such as sleep quality, duration, efficiency, architecture, and insomnia ratings after pharmacological treatment. Additional outcomes included postoperative pain scores and opioid consumption. Results: The search strategy yielded 21 studies ( n = 3276), and 18 reported improved sleep outcomes using eight validated sleep measurement tools. Eight of 10 studies using dexmedetomidine via patient-controlled analgesia or intravenous infusion reported better sleep quality versus controls. Opioids (nalbuphine, tramadol plus sufentanil), nonopioids (zolpidem, midazolam, pregabalin), propofol total intravenous anesthesia (TIVA), S -ketamine, and ropivacaine nerve blocks were superior to controls in enhancing postoperative sleep quality. Eleven studies (52%) which included the combination of dexmedetomidine with opioids reported concurrent improvements in postoperative pain and sleep. Dexmedetomidine also decreased postoperative opioid analgesia consumption. Conclusions: Evidence for the effects of perioperative pharmacological approaches on postoperative sleep are limited. High-quality RCTs of adequate power and methodology on the effects of pharmacology interventions on postoperative sleep are warranted.
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 | 0.085 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.067 | 0.016 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.004 |
| 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; both teacher heads agree on what is shown here.
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".