Drugs for anesthesia and analgesia in the preterm infant
Bibliographic record
Abstract
INTRODUCTION: There is largely an absence of validated evidence-based therapies in term- and preterm newborn infants, due to a lack of pharmacological clinical trials. As a consequence, the drugs and doses used in clinical practice are extrapolated from dose-ranging trials performed in older patients. Drugs administered to the preterm infant are invariably off-label. The aim of this current review is to identify commonly used anesthetic and analgesic agents in this patient population, assess the existing evidence base, in terms of safety, efficacy, pharmacokinetics and pharmacodynamics, current indications and doses. EVIDENCE ACQUISITION: We searched the PubMed, Google Scholar, Web of Science, U.S. Food and Drug Administration and World Health Organization databases and analyzed any studies for general anesthesia; analgo-sedation; regional anesthesia; pharmacokinetics, pharmacodynamics and pharmacogenomics in this patient population. EVIDENCE SYNTHESIS: A total of 412 studies (meta-analysis, systematic reviews, randomized controlled trial (RCT), and observational) were identified and analyzed. CONCLUSIONS: Preterm infants are characterized by remarkable metabolic and developmental differences when compared with adults. It is not possible to derive guidelines or clinical recommendations based on the existing evidence.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".