Routine preoperative electrocardiogram and chest x-ray prior to elective surgery in Alberta, Canada Electrocardiogramme et radiographie des poumons preoperatoires de routine avant une chirurgie non urgente en Alberta, Canada
Bibliographic record
Abstract
Purpose A study was undertaken to evaluate the utilization rates of routine preoperative electrocardiogram (ECG) and chest x-ray (CXR) by sex, age, and most frequent surgery type, and to estimate the total cost of these screening tests. Methods We included all patients undergoing elective surgery in Alberta from April 1, 2005 to March 31, 2007, except those with a cancer, trauma, or cardiac diagnosis. The utilization rate was equal to the number of tests divided by the number of elective surgeries. The total cost of the tests was estimated in Canadian dollars under a health care perspective and was equal to the number of tests multiplied by the cost per test. Results With utilization rates of 13.4% and 23.2%, routine preoperative ECG and CXR tests cost Alberta about $369,000 and $637,000 over 2 yrs, respectively. More than 80% of the cost was incurred by tests on patients aged 50 or older. The utilization rates of tests vary considerably among the most frequent surgeries, but not between men and women. Conclusions Routine preoperative testing rates and costs are relatively low in Alberta. It is possible that general evidence widely disseminated over the past number of
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".