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Older Blood Is Associated With Increased Mortality and Adverse Events in Massively Transfused Trauma Patients: Secondary Analysis of the PROPPR Trial
Allison R. Jones, Rakesh P. Patel, Marisa B. Marques, John P. Donnelly, Russell Griffin, Jean‐François Pittet, Jeffrey D. Kerby, Shannon W. Stephens, Stacia M. DeSantis, John R. Hess, Henry E. Wang, John B. Holcomb, Charles E. Wade, Deborah J. del Junco, Erin E. Fox, Nena Matijevic, Jeanette M. Podbielski, Angela M. Beeler, Barbara C. Tilley, Sarah Baraniuk, Hongjian Zhu, Joshua P. Nixon, Roann Seay, Savitri Appana, Michael O. Gonzalez, Lisa A. Baer, Yao-Wei Wang, Brittany S. Hula, Elena Espino, An Nguyen, Nicholas Pawelczyk, Kisha D. Arora-Nutall, Rishika Sharma, Jessica C. Cardenas, Elaheh Rahbar, Tyrone Burnett, David L. Clark, Gerald van Belle, Susanne May, Brian G. Leroux, David B. Hoyt, Judy Powell, Kellie Sheehan, Alan Hubbard, Adam P. Arkin, Jeanne Callum, Bryan A. Cotton, Laura Vincent, Timothy Welch, Tiffany Poole, Evan G. Pivalizza, Sam D. Gumbert, Yu Bai, James J. McCarthy, Amy Noland, Rhonda Hobbs, Eileen M. Bulger, Patricia Klotz, Lindsay Cattin, Keir J. Warner, Angela Wilson, David Boman, Nathan J. White, Andreas Grabinsky, Jennifer A. Daniel‐Johnson, Mitchell J. Cohen, Rachael A. Callcut, Mary F. Nelson, Brittney J. Redick, Amanda Conroy, Marc P. Steurer, Preston C. Maxim, Eberhard Fiebig, Joanne I. Moore, Eireen Mallari, Peter Muskat, Jay A. Johannigman, Bryce R. H. Robinson, Richard D. Branson, Dina Gomaa, Christopher Barczak, Suzanne Bennett, Patricia M. Carey, Christopher N. Miller, Helen Hancock, Carolina Rodriguez, Kenji Inaba, Jay Zhu, Monica D. Wong, Michael Menchine, Kelly Katzberg, Sean O. Henderson, Rodney McKeever, Ira A. Shulman, Janice M. Nelson, Christopher W. Tuma, Cheryl Y. Matsushita, Thomas M. Scalea, Deborah M. Stein, Cynthia K. Shaffer, Christine Wade, Anthony V. Herrera, Seeta Kallam, Sarah E. Wade, Samuel M. Galvagno, Magali J. Fontaine, Janice M. Hunt, Rhonda Cooke, Timothy C. Fabian, Jordan A. Weinberg, Martin A. Croce, Suzanne Wilson, Stephanie Panzer-Baggett, Lynda Waddle-Smith, Sherri Flax, Karen J. Brasel, Pamela Walsh, David Milia, Allia Nelson, Olga Kaslow, Tom P. Aufderheide, Jerome L. Gottschall, Erica L. Carpenter, Terence O’Keeffe, Laurel L. Rokowski, Kurt R. Denninghoff, Daniel T. Redford, Deborah J. Novak, Susan Knoll, Patrick L. Bosarge, Albert Pierce, Carolyn R. Williams, Martin A. Schreiber, Jennifer M. Watters, Samantha J. Underwood, Tahnee Groat, Craig D. Newgard, Matthias Merkel, Richard M. Scanlan, M. Elizabeth Miller, Sandro Rizoli, Homer Tien, Barto Nascimento, Sandy Trpcic, Skeeta Sobrian-Couroux, Marciano D. Reis, Adic Pérez, Susan Belo, Lisa L. Merkley, Connie Colavecchia
Bibliographic record
VenueAnnals of Emergency Medicine · 2018
Typearticle
Languageen
FieldMedicine
TopicTrauma, Hemostasis, Coagulopathy, Resuscitation
Canadian institutionsnot available
FundersNational Heart, Lung, and Blood InstituteCanadian Institutes of Health Research
KeywordsMedicinePacked red blood cellsOdds ratioConfidence intervalInjury Severity ScoreBlood transfusionLogistic regressionSurgeryAnesthesiaInternal medicinePoison controlEmergency medicineInjury prevention
Abstract
No abstract in any covered source. Its absence is recorded, not treated as a negative.
No abstract. This is not a gap in this database; OpenAlex has none either. 23.3% of the frame is in this state, and the screen finds HALF as much metaresearch here, so the absence is a measured bias rather than a missing field.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.034
Threshold uncertainty score1.000
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| 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.
Opus teacher head0.089
GPT teacher head0.362
Teacher spread0.273 · how far apart the two teachers sit on this one work
Validation status
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 teacher head, not a consensus.
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
Citations58
Published2018
Admission routes1
Has abstractno