Another Piece of the Complex Puzzle: Outcomes of Percutaneous Coronary Intervention in Older Adults
Bibliographic record
Abstract
oronary artery disease is highly prevalent in our rapidly aging population.Projections anticipate a 2-fold increase in the size of the population ≥65 years old by 2050, with an estimated 1 in 5 in the United States being >65 years old by 2030. 1 CAD is a major cause of morbidity and mortality in older adults who tend to have more multivessel and left main CAD than younger adults.Because of the exclusion of older, particularly multimorbid and frail older adults from most of our clinical trials, the optimal treatment of CAD in this population is often unclear, but such information is critical to improving their outcomes.2 A patient-centered approach that takes into consideration the patient's overall condition including comorbidities, functional status, frailty, cognitive skills, and personal preferences should be the goal, with age itself being only 1 factor.
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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 | 0.004 | 0.038 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.003 | 0.004 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.022 | 0.020 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".