Diagnostic Usefulness of a Lumi-Aggregometer Adenosine Triphosphate Release Assay for the Assessment of Platelet Function Disorders
Bibliographic record
Abstract
Platelet dense granule release assays are recommended for diagnosing platelet function disorders and are commonly performed by Lumi-Aggregometer (Chrono-Log, Havertown, PA) assays of adenosine triphosphate (ATP) release. We conducted a prospective cohort study of people tested for ATP release defects to assess bleeding symptoms. Reduced release, with 1 or more agonists, was more common among patients with bleeding disorders than among healthy control subjects (P < .001). The respective likelihood (odds ratio [95% confidence interval]) of a bleeding disorder or an inherited platelet function disorder were high when release was reduced with 1 or more agonists (17 [6-46]; 128 [30-545]), even if aggregation was normal (12 [4-34]; 105 [20-565]). ATP release had high specificity and moderate sensitivity for inherited platelet function disorders, with most abnormalities detected by the combination of 6 μmol/L epinephrine, 5.0 μg/mL collagen, and 1 μmol/L U46619. Platelet ATP release assays are useful for evaluating common bleeding disorders, regardless of aggregation findings.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".