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Record W2954733003 · doi:10.1111/trf.15435

Pathogen reduced plasma products: a clinical practice scientific review from the AABB

2019· review· en· W2954733003 on OpenAlexaff
Melissa M. Cushing, Monica B. Pagano, Jessica Jacobson, Joseph E. Schwartz, Brenda J. Grossman, Steven Kleinman, Mi Ah Han, Claudia S. Cohn

Bibliographic record

VenueTransfusion · 2019
Typereview
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of British Columbia
FundersUniversity of WashingtonTerumo BCTAABB
KeywordsPathogenMedicineImmunology

Abstract

fetched live from OpenAlex

BACKGROUND: A small body of literature assessing the efficacy and safety of pathogen reduced (PR) plasma has been published. STUDY DESIGN AND METHODS: An AABB committee systematically reviewed the literature and graded the clinical trial evidence with the assistance of a GRADE expert. RESULTS: Most studies identified were low quality and had a small sample size; in addition, efficacy and safety were monitored in many different ways making it difficult to quantify therapeutic benefit and risk. The data analyzed in this systematic review showed that pathogen inactivation did not adversely affect the efficacy of S/D or amotosalen plasma transfusions in any patient population studied. In addition, there were no significant safety issues for these patient populations, other than the specific contraindications noted in their respective package inserts. CONCLUSION: Larger, well-designed trials are needed to further evaluate the efficacy and safety of all of the PR plasma products.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.019
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.012
Threshold uncertainty score0.030

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0060.019
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.004
Bibliometrics0.0120.010
Science and technology studies0.0010.001
Scholarly communication0.0030.002
Open science0.0020.002
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0070.001

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.

Opus teacher head0.150
GPT teacher head0.420
Teacher spread0.270 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

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

Citations4
Published2019
Admission routes1
Has abstractyes

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