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Record W2480704692 · doi:10.1080/17425255.2016.1215426

Clinical pharmacology and efficacy of sugammadex in the reversal of neuromuscular blockade

2016· review· en· W2480704692 on OpenAlexaboutno aff
Stefan J. Schaller, Heidrun Lewald

Bibliographic record

VenueExpert Opinion on Drug Metabolism & Toxicology · 2016
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsnot available
Fundersnot available
KeywordsSugammadexRocuroniumMedicineNeuromuscular BlockadeMuscle relaxantAnesthesiaNeuromuscular Blocking AgentsNeuromuscular transmissionRocuronium BromideMyasthenia gravisPharmacologyIntensive care medicinePropofolInternal medicine

Abstract

fetched live from OpenAlex

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.

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 imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.978
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.079
GPT teacher head0.435
Teacher spread0.356 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreReview

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".

Quick stats

Citations20
Published2016
Admission routes1
Has abstractyes

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