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The level of matrix metalloproteinase‐2 in donor plasma strongly correlates with post‐transfusion recovery of stored platelet concentrates

2007· article· en· W2056072044 on OpenAlexafffund
Asuman Mutlu, David J. Allen, John Freedman, Valery Leytin

Bibliographic record

VenueVox Sanguinis · 2007
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of TorontoSt. Michael's Hospital
FundersCanadian Institutes of Health Research
KeywordsPlateletMatrix (chemical analysis)Matrix metalloproteinaseMedicineMatrix Metalloproteinase 3Platelet transfusionChemistryImmunologyInternal medicineChromatography

Abstract

fetched live from OpenAlex

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.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.251
Threshold uncertainty score0.477

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.019
GPT teacher head0.259
Teacher spread0.240 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2007
Admission routes2
Has abstractyes

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