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Record W4407577836 · doi:10.1007/s44254-025-00090-w

Remimazolam in children: a comprehensive narrative review

2025· article· en· W4407577836 on OpenAlexaff
Tom G. Hansen, Thomas Engelhardt

Bibliographic record

VenueAnesthesiology and Perioperative Science · 2025
Typearticle
Languageen
FieldMedicine
TopicAnesthesia and Sedative Agents
Canadian institutionsMcGill UniversityMontreal Children's Hospital
Fundersnot available
KeywordsNarrativePsychologyPsychoanalysisLiteratureArt

Abstract

fetched live from OpenAlex

Abstract Remimazolam is a novel ultra-short-acting benzodiazepine gaining attention for its rapid onset, predictable pharmacokinetics, and favorable safety profile in adult procedural sedation and anesthesia. Early pediatric data suggest it may offer significant advantages over traditional sedatives, including enhanced predictability, improved safety, and faster recovery times. Despite these promising attributes, its routine use in pediatric populations remains underexplored and unestablished. This narrative review examines remimazolam’s pharmacological properties, including its mechanism of action, metabolism, and elimination, and evaluates its safety and efficacy in pediatric sedation. Potential clinical applications are highlighted, such as procedural sedation, intensive care, and anesthesia induction, with comparisons to conventional agents. While initial studies suggest benefits, critical gaps remain in understanding its use in children. These include age-specific dosing strategies, long-term safety considerations, and its efficacy in children with comorbid conditions or undergoing complex procedures. Addressing these gaps will require robust clinical trials and large-scale observational studies. This review synthesizes current evidence and explores the potential of remimazolam to enhance pediatric sedation and anesthesia practices. By identifying key knowledge gaps and proposing future research directions, it aims to inform clinicians and researchers about the role of remimazolam in improving safety and outcomes in pediatric anesthesia.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.622

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.002
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.330
Teacher spread0.316 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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

Citations9
Published2025
Admission routes1
Has abstractyes

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