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Record W4381186658 · doi:10.1016/j.bja.2023.05.004

Effect of inhaled anaesthetics on cognitive and psychiatric outcomes in critically ill adults: a systematic review and meta-analysis

2023· review· en· W4381186658 on OpenAlexafffund
Sean Cuninghame, Angela Jerath, Kevin Gorsky, Asaanth Sivajohan, Conall Francoeur, Davinia E. Withington, Lisa Burry, Brian H. Cuthbertson, Beverley A. Orser, Claudio M. Martin, Adrian M. Owen, Marat Slessarev, Martin Chapman, Damon C. Scales, Julie Nardi, Beth Linseman, Boris Yakubov, François Martin Carrier, Emmanuel Charbonney, Michaël Chassé, Martin Girard, Antoine Halwagi, Guillaume Plourde, Han Ting Wang, Dominique Lafrance, Danielle Corsilli, Catalina Sokoloff, Frédérick D’Aragon, Maxime Tissot-Therrien, François Lamontagne, Dominique Bérard, Yiorgos Alexandros Cavayas, Martin Albert, Françis Bernard, Karim Serri, David Williamson, Virginie Williams, P. Barrios, Sabrina A. De Franca, Étienne J. Couture, Adreanne Côté, Mathieu Simon, Pierre-Alexis Lépine, Dave Gleeton, John Basmaji, Ahmed Hegazy, Tracey Bentall, Eileen Campbell, Michelle Stephens, Tim Winterburn, Roupen Hatzakorzian, Kosar Khwaja, Peter Goldberg, Jason Shahin, Jeremy Grushka, Jonathan C. Hooper, Sherissa Microys, Hilary Meggison, David Leilipovitz, Jessica Haines, Irene Watpool, Rebecca Porteous, Stephanie Dunster, Sylvie Bourbonnais, Ewan C. Goligher, Lorenzo Del Sorbo, Niall D. Ferguson, Philip Graham, Michael Long, Tina Z. Yan, Denise Morris, Maria Kobylecky, Hesham Abdel‐Hady, Tina Romagnuolo, Ian Randall, Elizabeth Wilcox, Michael J. Jacka, Oleksa Rewa, Vincent Lau, Sean M. Bagshaw, Nadia Baig

Bibliographic record

VenueBritish Journal of Anaesthesia · 2023
Typereview
Languageen
FieldMedicine
TopicIntensive Care Unit Cognitive Disorders
Canadian institutionsMcGill UniversityMontreal Children's HospitalUniversité LavalMount Sinai HospitalHealth Sciences CentreUniversity of TorontoSunnybrook Health Science CentreWestern University
FundersGovernment of OntarioUniversity of TorontoLondon Health Sciences Centre
KeywordsDeliriumMedicineSedationAnxietyPsychomotor agitationDepression (economics)Psychomotor learningPsychiatryEmergence deliriumMeta-analysisIncidence (geometry)PopulationAnesthesiaCognitionInternal medicine

Abstract

fetched live from OpenAlex
No abstract in any covered source. Its absence is recorded, not treated as a negative.

No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.

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)0.005
metaresearch head score (Gemma)0.013
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Meta-analysis · Consensus signal: Meta-analysis
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.016
Threshold uncertainty score0.024

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0050.013
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0160.029
Bibliometrics0.0030.003
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0030.003
Insufficient payload (model declined to judge)0.0040.000

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 head0.028
GPT teacher head0.346
Teacher spread0.318 · 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 designMeta-analysis
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

Citations21
Published2023
Admission routes2
Has abstractno

Explore more

Same venueBritish Journal of AnaesthesiaSame topicIntensive Care Unit Cognitive DisordersFrench-language works237,207