Quantifying immature platelets as markers of increased platelet production after coronary artery bypass grafting surgery
Bibliographic record
Abstract
OBJECTIVES: An increased rate of platelet production is a possible cause of reduced antithrombotic response to once-daily aspirin. Markers of immature platelets (IPs), such as immature platelet count (IPC), immature platelet fraction (IPF), and mean platelet volume (MPV) might be useful for identifying patients who have an increase in their rate of platelet production. However, their potential as markers of platelet production has not been rigorously evaluated. We aimed to investigate the utility of the IPC, IPF, and MPV as surrogates for increased platelet production using coronary artery bypass grafting (CABG) as a model of enhanced thrombopoiesis. METHODS: Daily changes in platelet count, IPC, IPF, and MPV were followed in 45 patients undergoing CABG. RESULTS: The rise in IP markers preceded that in the platelet count. IPC (16% per day increase from nadir) but not IPF or MPV showed a significant and sustained rise, which paralleled the pattern observed with platelet count (18% per day increase from nadir). CONCLUSIONS: Of the 3 markers, IPC was the most promising as surrogates for platelet production. Future studies should evaluate the utility of the IPC to identify patients with cardiovascular disease with reduced response to aspirin who might benefit from twice-daily aspirin.
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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 | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".