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Record W2060056173 · doi:10.1517/14656566.9.8.1375

Sugammadex: a cyclodextrin to reverse neuromuscular blockade in anaesthesia

2008· review· en· W2060056173 on OpenAlexaff
François Donati

Bibliographic record

VenueExpert Opinion on Pharmacotherapy · 2008
Typereview
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsHôpital Maisonneuve-RosemontUniversité de Montréal
Fundersnot available
KeywordsSugammadexRocuroniumMedicineNeuromuscular BlockadeBlockadeAnesthesiaNeuromuscular monitoringNeuromuscular Blocking AgentsParalysisSurgeryInternal medicineIntubationReceptor

Abstract

fetched live from OpenAlex

BACKGROUND: Neuromuscular blocking agents are used to provide relaxation and immobility during surgery. To avoid residual paralysis after anaesthesia, reversal of blockade is commonly accomplished with anticholinesterase agents but these drugs have cardiovascular side effects and incomplete effectiveness. Sugammadex is a cyclodextrin that binds rocuronium and chemically similar neuromuscular blocking drugs. OBJECTIVE: Published data on the effectiveness of sugammadex as a reversal agent were examined. METHODS: Peer-reviewed articles on residual postoperative paralysis and sugammadex (ORG 25969) were analysed. RESULTS: Rocuronium-sugammadex complexes are formed and excreted via the kidney. The dissociation constant of the reaction is estimated at 0.1 microM. Sugammadex produces more rapid reversal of rocuronium- and vecuronium-induced blockade than current reversal agents. The dose required depends directly on intensity of blockade. To date, there appear to be few side effects. Inadequate dosage may lead to reparalysis. CONCLUSION: More data are needed, especially in patients with renal failure and those who require neuromuscular blockade again soon after receiving sugammadex.

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 score0.004
Threshold uncertainty score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.003

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 head0.107
GPT teacher head0.433
Teacher spread0.326 · 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

Citations29
Published2008
Admission routes1
Has abstractyes

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