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Record W1981350847 · doi:10.1586/ern.09.22

Sugammadex: a selective relaxant binding agent for reversal of neuromuscular block

2009· review· en· W1981350847 on OpenAlexaff
Rosemary Hogg, R. K. Mirakhur

Bibliographic record

VenueExpert Review of Neurotherapeutics · 2009
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsQueen's University
Fundersnot available
KeywordsSugammadexRocuroniumNeostigmineAntagonistAnesthesiaMedicineBlock (permutation group theory)Muscle relaxantPharmacologyInternal medicinePropofolReceptorMathematics

Abstract

fetched live from OpenAlex

Neostigmine, the currently used agent for reversal of neuromuscular block, has several drawbacks, such as a slow onset of peak effect, inability to reverse deep block and the occurrence of widespread muscarinic effects. Sugammadex is a new class of reversal agent that acts by encapsulating the molecules of the relaxants rocuronium and vecuronium, for which it is a specific antagonist. Clinical trials in over 2000 subjects have shown it to be effective for reversal of block by these two relaxants even from deep levels, in doses of 2.0-4.0 mg/kg. Sugammadex can also reverse an intense (profound) high-dose rocuronium block, but the dose required in this situation is 16.0 mg/kg. The agent has been found to be safe so far, with few side effects.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.006
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0030.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0060.004

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 head0.094
GPT teacher head0.411
Teacher spread0.317 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations19
Published2009
Admission routes1
Has abstractyes

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