Clinical pharmacology and efficacy of sugammadex in the reversal of neuromuscular blockade
Bibliographic record
Abstract
INTRODUCTION: Sugammadex is the first clinical representative of a class of drugs called steroidal muscle relaxant encapsulators. Due to its 1:1 binding of rocuronium or vecuronium, sugammadex can reverse any depth of neuromuscular block and has therefore revolutionized the way anesthetists think about drug reversal. AREAS COVERED: This review gives an overview of the clinical pharmacology and efficacy of sugammadex in healthy patients as well as in patients with pre-existing diseases. EXPERT OPINION: After approval in Europe in 2008 and Asia in 2010, sugammadex has recently been approved in the USA and Canada. This will open the field for further research especially for the use in special patient populations and specific diseases. Due to its pharmacodynamic profile, sugammadex in combination with rocuronium might have the potential to displace succinylcholine as the gold standard muscle relaxant for rapid sequence inductions. The use of rocuronium or vecuronium with the potential to reverse its action with sugammadex seems to be safe in patients with impaired neuromuscular transmission, i.e. (neuro)muscular diseases including myasthenia gravis. Data from long-term use of sugammadex is not yet available. Evidence towards an economic advantage of using sugammadex, justifying the relatively high costs for an anesthesia-related drug, is missing.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| 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 | 0.001 |
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".