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Record W2590025964 · doi:10.1097/ana.0000000000000407

Perioperative Management of Adult Patients With External Ventricular and Lumbar Drains: Guidelines From the Society for Neuroscience in Anesthesiology and Critical Care

2017· article· en· W2590025964 on OpenAlexaff
Abhijit V. Lele, A. L. Hoefnagel, Nina Schloemerkemper, David Wyler, Nophanan Chaikittisilpa, Monica S. Vavilala, Bhiken I. Naik, James Williams, Lashmi Venkatraghavan, Ines P. Koerner

Bibliographic record

VenueJournal of Neurosurgical Anesthesiology · 2017
Typearticle
Languageen
FieldNeuroscience
TopicCerebrospinal fluid and hydrocephalus
Canadian institutionsToronto Western Hospital
Fundersnot available
KeywordsMedicineAnesthesiologyPerioperativeCerebrospinal fluidLumbar punctureIntensive care medicineNeurointensive careLumbarAnesthesiaCritical care nursingSurgeryHealth careInternal medicine

Abstract

fetched live from OpenAlex

External ventricular drains and lumbar drains are commonly used to divert cerebrospinal fluid and to measure cerebrospinal fluid pressure. Although commonly encountered in the perioperative setting and critical for the care of neurosurgical patients, there are no guidelines regarding their management in the perioperative period. To address this gap in the literature, The Society for Neuroscience in Anesthesiology & Critical Care tasked an expert group to generate evidence-based guidelines. The document generated targets clinicians involved in perioperative care of patients with indwelling external ventricular and lumbar drains.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.046
Threshold uncertainty score0.461

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 studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.034
GPT teacher head0.307
Teacher spread0.273 · 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

Citations81
Published2017
Admission routes1
Has abstractyes

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