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Record W2949173504 · doi:10.1213/xaa.0000000000001043

Eye Drops: Must-Knows for Anesthesiology and Perioperative Care

2019· article· en· W2949173504 on OpenAlexaff
Corina Bello, Adriaan Van Rensburg, Massimiliano Meineri, Markus M. Luedi

Bibliographic record

VenueA&A Practice · 2019
Typearticle
Languageen
FieldMedicine
TopicGlaucoma and retinal disorders
Canadian institutionsUniversity Health Network
Fundersnot available
KeywordsMedicinePerioperativeAnesthesiologyOphthalmic surgeryEye surgeryEye dropAnesthesiaOcular surgeryNonsteroidalGlaucomaIntensive care medicineOphthalmologyPharmacologySurgery

Abstract

fetched live from OpenAlex

Eye drops such as topical β-blockers are widely used to treat glaucoma and other ocular diseases. We provide an overview of ophthalmic solutions, including β-adrenergic receptor antagonists, for anesthesiologists and others involved in perioperative care. We summarize current evidence about systemic effects of topical β-blockers and other commonly used ophthalmic agents such as parasympathomimetic eye drops, carbonic anhydrase inhibitors, nonsteroidal anti-inflammatory drugs (NSAIDs), and emerging products such as combinations of multiple substances. We call for careful preoperative assessment and perioperative management of individuals using eye drops, especially critically ill patients, children, or those undergoing major surgery.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.878
Threshold uncertainty score0.300

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.007
GPT teacher head0.304
Teacher spread0.297 · 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 designNot applicable
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

Citations2
Published2019
Admission routes1
Has abstractyes

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