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Record W2031667894 · doi:10.1136/ebn.7.2.44

Review: evidence is lacking that adults given fluids 1.5 to 3 hours preoperatively have greater risks of aspiration or regurgitation than those given a standard fast

2004· letter· en· W2031667894 on OpenAlexaff
Hilda Power

Bibliographic record

VenueEvidence-Based Nursing · 2004
Typeletter
Languageen
FieldMedicine
TopicEnhanced Recovery After Surgery
Canadian institutionsIzaak Walton Killam Health Centre
Fundersnot available
KeywordsMedicinePerioperativeGeneral anaesthesiaCINAHLPreoperative fastingMEDLINERandomized controlled trialIncidence (geometry)PediatricsAnesthesiaSurgery

Abstract

fetched live from OpenAlex

Brady M, Kinn S, Stuart P. Preoperative fasting for adults to prevent perioperative complications. Cochrane Database Syst Rev 2003;(4):CD004423 (latest version 27 Aug 2003). Q In adults, what are the effects of different preoperative fasting regimens (duration, type, and volume of permitted intake) on perioperative complications and patient wellbeing? ### ![Graphic][1]</img>Data sources: Medline (1966 to August 2003), CINAHL (1982 to August 2003), the Cochrane Central Register of Controlled Trials (second quarter, 2003), and the UK National Research Register (August 2003); bibliographies of relevant studies and conference proceedings; and experts. ### ![Graphic][2]</img>Study selection and assessment: randomised controlled trials (RCTs) or quasi-RCTs that compared the effects of different preoperative fasting regimens in terms of duration of fast, type of permitted intake, and volume of permitted intake before general anaesthesia; included adults ⩾18 years of age; and reported postoperative complications. Studies of healthy patients having general anaesthesia or those at high risk of regurgitation or aspiration during anaesthesia (ie, patients who were pregnant, postpartum, obese, elderly, or had gastric disorders) were included. A standard fast was defined as nil by mouth from … [1]: /embed/inline-graphic-1.gif [2]: /embed/inline-graphic-2.gif

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)0.002
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.888
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.003
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.002
Open science0.0000.000
Research integrity0.0010.002
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 head0.155
GPT teacher head0.384
Teacher spread0.228 · 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.

Study designSystematic review
Domainnot available
GenreCommentary

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

Citations3
Published2004
Admission routes1
Has abstractyes

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