The level of matrix metalloproteinase‐2 in donor plasma strongly correlates with post‐transfusion recovery of stored platelet concentrates
Bibliographic record
Abstract
BACKGROUND AND OBJECTIVE: A simple test accurately predicting post-transfusion recovery of stored platelet concentrates (PCs) is needed. MATERIALS AND METHODS: Matrix metalloproteinase-2 (MMP-2) was determined in fresh-frozen plasma of normal donors using enzyme-linked immunosorbent assay (ELISA)-based assay. Post-transfusion recovery of human PCs was determined in rabbits with an inhibited reticuloendothelial system by flow cytometry. RESULTS: We demonstrated a strong positive (r = 0.91) and highly significant (P = 0.0015) correlation between the concentration of MMP-2 in plasma of normal donors and post-transfusion recovery of PCs stored for 5 days at 22 degrees C under standard blood banking conditions. A higher level of donor plasma MMP-2 is associated with improved recovery of transfused platelets. CONCLUSION: These observations suggest that pre-transfusion MMP-2 assay of donor's plasma may be a predictor of post-transfusion recovery of PCs. However, the usefulness of this assay should be elucidated in clinical transfusion settings.
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".