3118Temporal trends in PCI outcomes in the elderly: An analysis from the British Columbia Cardiac Registry
Bibliographic record
Abstract
Background: Demographics are shifting, with an increasing prevalence of elderly individuals (>80yrs) whom by 2050 will compromise 20% of the global population and will for the first time in human history exceed the number of children. Many of these individuals will have coronary disease placing increased demands on already strained healthcare systems. Despite this, there are limited data on the treatment of acute coronary syndromes (ACS) in the elderly, who are under-represented in clinical trials and who are much less likely to receive guideline based medical therapy or invasive management. Here, we examine the outcomes in elderly individuals treated with PCI between 2000–2015. Methods: Prospectively gathered data from the British Columbia Cardiac Registry was analysed for longitudinal trends in PCI use, changes in the demographic characteristics of patients and their procedural and 5 year outcomes. A linear regression analysis was performed to identify factors associated with particularly high risk presentations.
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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 | 0.001 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.007 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".