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Record W19936662

Transfusion-related acute lung injury in the Canadian paediatric population.

2012· article· en· W19936662 on OpenAlexaffabout
France Gauvin, Pierre Robillard, Heather Hume, Danielle Grenier, Robin K. Whyte, Kathryn E. Webert, Dean Fergusson, Wendy Lau, Norbert Froese, Gilles Delage

Bibliographic record

VenuePubMed · 2012
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversité de MontréalCentre Hospitalier Universitaire Sainte-Justine
Fundersnot available
KeywordsMedicineTransfusion-related acute lung injuryIncidence (geometry)PopulationMechanical ventilationPediatricsLungInternal medicinePulmonary edema
DOInot available

Abstract

fetched live from OpenAlex

BACKGROUND: The incidence of transfusion-related acute lung injury (TRALI) in adults is approximately one per 5000 transfusions. The Canadian Paediatric Surveillance Program undertook the present study to determine the incidence of TRALI in the paediatric population and to describe the characteristics and outcomes of children with TRALI. METHODS: The present surveillance study was conducted over a three-year period. RESULTS: Four TRALI cases were reported, yielding an incidence rate of 1.8 per 100,000 transfusions. The degree of severity varied: in two patients, only supplemental oxygen was necessary, while the other two required mechanical ventilation. CONCLUSION: TRALI was reported much less often in the present study compared with adult studies; therefore, it needs to be determined whether TRALI occurs less frequently in children, or alternatively, whether TRALI is recognized less often in children. The possibility that neonates who undergo cardiac surgery are at greater risk of TRALI than other patients should be addressed in future studies.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.215
Threshold uncertainty score0.970

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.012
GPT teacher head0.232
Teacher spread0.220 · 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 designObservational
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

Citations32
Published2012
Admission routes2
Has abstractyes

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