Efficacy, safety, and side effects of oliceridine in acute postoperative pain, a protocol for a systematic review and meta-analysis.
Anne WolfMatthias UnterbergAndrea WitowskiMichael AdamzikFrank-Gerald PajonkPublished in: PloS one (2024)
This will be the first meta-analysis on the efficacy, safety, and side effects of oliceridine on postoperative pain. Our aim with this work is to evaluate the clinical utility of this relatively new substance in a broad postoperative context. Oliceridine is a new so-called bias opioid that is approved for severe pain requiring an opioid. Due to its biased agonism, it is said to have fewer side effects than conventional opioids. This systematic review and meta-analysis will analyze the efficacy, safety, and side effects of oliceridine compared to placebo or morphine in acute postoperative pain for up to 72 hours. In January 2024, an extensive search in various databases will be performed without restrictions for randomized controlled trials with at least single blinding. After data extraction, data will be pooled and meta-analytic calculations performed. A random-effects model will be used. Dichotomous data will be presented as risk ratio and continuous data as standardized mean difference. Dose-dependent side effects will be evaluated with meta-regression. Heterogeneity will be assessed via the Q statistic and prediction interval in case of a sufficient number of included studies. Publication bias will be examined using funnel plot and Duval and Tweedie's trim and fill method.
Keyphrases
- postoperative pain
- chronic pain
- pain management
- electronic health record
- big data
- systematic review
- randomized controlled trial
- liver failure
- drug induced
- respiratory failure
- patients undergoing
- clinical trial
- meta analyses
- spinal cord injury
- density functional theory
- artificial intelligence
- aortic dissection
- data analysis
- molecular dynamics
- neuropathic pain
- single cell
- molecular dynamics simulations
- neural network