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Record W2566694521 · doi:10.1111/trf.13944

Proposed revised nomenclature for transfusion‐related acute lung injury

2016· article· en· W2566694521 on OpenAlexaff
Pearl Toy, Steven Kleinman, Mark R. Looney

Bibliographic record

VenueTransfusion · 2016
Typearticle
Languageen
FieldMedicine
TopicBlood transfusion and management
Canadian institutionsUniversity of British Columbia
FundersNational Heart, Lung, and Blood Institute
KeywordsARDSMedicineTransfusion-related acute lung injuryIntensive care medicineAcute respiratory distressBlood transfusionDiffuse alveolar damageLungInternal medicinePulmonary edema

Abstract

fetched live from OpenAlex

A decade ago, definitions of "transfusionߚrelated acute lung injury (TRALI)" and "possible TRALI" were standardized for research and clinical diagnosis. Since then, evidence has confirmed that TRALI is often due to transfusion of white blood cell antibodies to at-risk patients, and the term "TRALI, antibody mediated" is appropriate for such cases. Other TRALI cases are non-antibody mediated. Because specific, nonantibody transfusion factors have not yet been confirmed to cause TRALI in humans, the general term "TRALI, non-antibody mediated" is appropriate for such cases. In contrast, evidence is against possible TRALI being due to transfusion with the more likely cause of the acute respiratory distress syndrome (ARDS) being the alternative ARDS risk factor present in these patients. We propose to drop the misleading term "possible TRALI" and to rename this category of cases as "transfused ARDS." These nomenclature updates will more accurately categorize ARDS cases that develop after transfusion.

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)0.018
metaresearch head score (Gemma)0.036
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: Not applicable
GenreCandidate signal: Commentary · Consensus signal: Commentary
Teacher disagreement score0.018
Threshold uncertainty score0.094

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0180.036
Meta-epidemiology (narrow)0.0030.001
Meta-epidemiology (broad)0.0030.004
Bibliometrics0.0120.008
Science and technology studies0.0030.010
Scholarly communication0.0070.007
Open science0.0070.004
Research integrity0.0060.017
Insufficient payload (model declined to judge)0.0070.007

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 head0.009
GPT teacher head0.266
Teacher spread0.257 · 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
GenreCommentary

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

Citations20
Published2016
Admission routes1
Has abstractyes

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