MétaCan
Menu
Back to cohort
Record W2063035596 · doi:10.1213/ane.0b013e31818e6382

Simplifying the Noncardiac Surgery Evaluation Pathway

2008· letter· en· W2063035596 on OpenAlexaffabout
Timothy P. Turkstra, Philip M. Jones

Bibliographic record

VenueAnesthesia & Analgesia · 2008
Typeletter
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsLondon Health Sciences Centre
Fundersnot available
KeywordsMedicineAmerican society of anesthesiologistsFlowchartPsychological interventionIntensive care medicineCanadian Cardiovascular SocietySurgeryCardiologyPsychiatry

Abstract

fetched live from OpenAlex

To the Editor: The revised guidelines for assessment of the cardiac patient for noncardiac surgery, co-published in Anesthesia & Analgesia,1Circulation,2 and the Journal of the American College of Cardiology3 are an area of interest to virtually all anesthesiologists, and many other clinicians involved in preoperative patient assessment. The original flowchart illustrated the recommended management of patients (Fig. 1A). The flowchart can be simplified dramatically, yielding identical outcomes for patients, yet simultaneously being easier to remember and to apply (Fig. 1B). In steps 4 and 5, one decision tree leads to the same outcome for both arms and two outcomes are shared by other pathways as well. Grouping common end-points using binary logic leads to Figure 1B.Figure 1.: Cardiac evaluation and care algorithm for noncardiac surgery based on active clinical conditions, known cardiovascular disease, or cardiac risk factors for patients 50 years of age or greater. A–ORIGINAL FIGURE, B–FIGURE AS REVISED. Developed in Collaboration with the American Society of Echocardiography, American Society of Nuclear Cardiology, Heart Rhythm Society, Society of Cardiovascular Anesthesiologists, Society for Cardiovascular Angiography and Interventions, Society for Vasc, et al. Anesth Analg 2008;106:685–712.We have found this revised figure useful in our institution. We hope this simplified flowchart will increase the utilization of these evidence-based guidelines for the cardiac assessment of the noncardiac surgery patient, and improve patient outcomes. It is worth mentioning that clinicians involved in preoperative patient assessment will also no doubt wish to carefully consider the findings of the recently published POISE trial,4,5 giving further pause to the addition of β-blocker use perioperatively, without a specific indication. Timothy P. Turkstra, MD, M. Eng., FRCPC Philip M. Jones, MD, FRCPC Department of Anesthesia and Perioperative Medicine London Health Sciences Centre–University Hospital London, Ontario, Canada

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 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)0.011
metaresearch head score (Gemma)0.079
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.012
Threshold uncertainty score0.056

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0110.079
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0040.005
Open science0.0030.001
Research integrity0.0060.012
Insufficient payload (model declined to judge)0.0120.006

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 head0.050
GPT teacher head0.277
Teacher spread0.227 · 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 designNot applicable
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
Published2008
Admission routes2
Has abstractyes

Explore more

Same venueAnesthesia & AnalgesiaSame topicCardiac, Anesthesia and Surgical OutcomesFrench-language works237,207