Abstract 18193: Stress Myocardial Perfusion Positron Emission Tomography Provides Incremental Risk Prediction in Subjects With and Without Diabetes
Bibliographic record
Abstract
Introduction: The prognostic value of Positron Emission Tomography (PET) Myocardial Perfusion Imaging (MPI) is well established; however, it has not been extensively studied in subjects with diabetes mellitus (DM). We aimed to assess the prognostic value of PET MPI in subjects with and without DM. Methods: We studied 6037subjects (mean age 63±13 years, 47% women, 27% with DM, mean ejection fraction 60±16%, 33% with known coronary disease) who underwent a clinically indicated rest/stress Rubidium-82 PET MPI at 4 centers. Cardiac death (n=169) was evaluated at a mean follow-up of 2.5 ± 1.5 years. We used Cox proportional hazards models and risk reclassification measures stratified according to reported DM status. Bracco and Astellas provided initial funding for the PET registry. The current analysis is independently performed by the PET registry investigators. Results: Subjects with DM had a higher risk of cardiac death [hazard ratio (HR) (95% CI): 2.6 (1.9-3.5)] compared to those without DM. In multivariab...
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".