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Systematic Review: Prediction of Perioperative Cardiac Complications and Mortality by the Revised Cardiac Risk Index

2010· review· en· W2063728958 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueAnnals of Internal Medicine · 2010
Typereview
Languageen
FieldMedicine
TopicCardiac, Anesthesia and Surgical Outcomes
Canadian institutionsUniversity of TorontoToronto General Hospital
FundersCanadian Institutes of Health Research
KeywordsMedicineMyocardial infarctionInternal medicineLikelihood ratios in diagnostic testingPerioperativeProspective cohort studyCardiologyReceiver operating characteristicSurgery

Abstract

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BACKGROUND: The Revised Cardiac Risk Index (RCRI) is widely used to predict perioperative cardiac complications. PURPOSE: To evaluate the ability of the RCRI to predict cardiac complications and death after noncardiac surgery. DATA SOURCES: MEDLINE, EMBASE, and ISI Web of Science (1966 to 31 December 2008). STUDY SELECTION: Cohort studies that reported the association of the RCRI with major cardiac complications (cardiac death, myocardial infarction, and nonfatal cardiac arrest) or death in the hospital or within 30 days of surgery. DATA EXTRACTION: Two reviewers independently extracted study characteristics, documented outcome data, and evaluated study quality. DATA SYNTHESIS: Of 24 studies (792 740 patients), 18 reported cardiac complications; 6 of the 18 studies were prospective and had uniform outcome surveillance and blinded outcome adjudication. The RCRI discriminated moderately well between patients at low versus high risk for cardiac events after mixed noncardiac surgery (area under the receiver-operating characteristic curve [AUC], 0.75 [95% CI, 0.72 to 0.79]); sensitivity, 0.65 [CI, 0.46 to 0.81]; specificity, 0.76 [CI, 0.58 to 0.88]; positive likelihood ratio, 2.78 [CI, 1.74 to 4.45]; negative likelihood ratio, 0.45 [CI, 0.31 to 0.67]). Prediction of cardiac events after vascular noncardiac surgery was less accurate (AUC, 0.64 [CI, 0.61 to 0.66]; sensitivity, 0.70 [CI, 0.53 to 0.82]; specificity, 0.55 [CI, 0.45 to 0.66]; positive likelihood ratio, 1.56 [CI, 1.42 to 1.73]; negative likelihood ratio, 0.55 [CI, 0.40 to 0.76]). Six studies reported death, with a median AUC of 0.62 (range, 0.54 to 0.78). A pooled AUC for predicting death could not be calculated because of very high heterogeneity (I(2) = 95%). LIMITATION: Studies generally were of low methodological quality, had varied definitions of cardiac events, and were statistically and clinically heterogeneous. CONCLUSION: The RCRI discriminated moderately well between patients at low versus high risk for cardiac events after mixed noncardiac surgery. It did not perform well at predicting cardiac events after vascular noncardiac surgery or at predicting death. High-quality research is needed in this area of perioperative medicine.

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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)0.003
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.560
Threshold uncertainty score0.930

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0080.002
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.056
GPT teacher head0.385
Teacher spread0.330 · 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