Evidence map›Paper›PMID 32520897›Full record

Trial reportThe journal of trauma and acute care surgery2020

Dynamic impact of transfusion ratios on outcomes in severely injured patients: Targeted machine learning analysis of the Pragmatic, Randomized Optimal Platelet and Plasma Ratios randomized clinical trial.

Minh Nguyen, Romain Pirracchio, Lucy Z Kornblith, Rachael Callcut, Erin E Fox, Charles E Wade, Martin Schreiber, John B Holcomb, Jeremy Coyle, Mitchell Cohen and 1 more

Abstract readClinical Trial, Phase IIIMulticenter StudyPragmatic Clinical Trial
In one paragraph

Trial report in The journal of trauma and acute care surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

12 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Pooled it
  2. Blood transfusion strategies for major bleeding in trauma.The Cochrane database of systematic reviews · 2025
    Pooled it
  3. Guideline
  4. Review
  5. Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Machine learning in perioperative medicine: a systematic review.Journal of anesthesia, analgesia and critical care · 2022
    Review
  12. Clinical Impact of a Dedicated Trauma Hybrid Operating Room.Journal of the American College of Surgeons · 2021
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Minh NguyenFrom the Division of Epidemiology and Biostatistics (M.N., J.C., A.H.), School of Public Health, University of California, Berkeley; Department of Anesthesia and Perioperative Care (R.P.), Department of Surgery (L.Z.K., R.C.), School of Medicine, University of California, San Francisco, California; Division of Acute Care Surgery, Department of Surgery (E.E.F.), Medical School, Center for Translational Injury Research, Department of Surgery (C.E.W., J.B.H.), Center for Translational Injury Research, Medical School, University of Texas Health Science Center, Houston, Texas; Division of Trauma, Critical Care and Acute Care Surgery, School of Medicine (M.S.), Oregon Health & Science University, Portland, Oregon; and Department of Surgery, School of Medicine (M.C.), University of Colorado, Boulder, Colorado.
Romain Pirracchio
Lucy Z Kornblith
Rachael Callcut
Erin E Fox
Charles E Wade
Martin Schreiber
John B Holcomb
Jeremy Coyle
Mitchell Cohen
Alan Hubbard

Funding

Resuscitation Outcomes Consortium (ROC) Data Coordinating CenterU01HL077863 · NHLBI · UNIVERSITY OF WASHINGTON · PI MAY, SUSANNE · 2004 to 2015
$125.1M
POSTDOCTORAL TRAINING IN MEDICAL INFORMATION SCIENCEST15LM007033 · NLM · STANFORD UNIVERSITY · PI SYLVIA KATINA PLEVRITIS · 1985 to 2026
$25.5M
R01 Administrative Supplement for AI Prediction of Trauma Resuscitation ResponsivenessR01HL149670 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI CALLCUT, RACHAEL A · 2020 to 2024
$4.6M
CIHR CRR120612NHLBI NIH HHS L30 HL138770NHLBI NIH HHS R01 HL149670NHLBI NIH HHS U01 HL077863NLM NIH HHS T15 LM007033
6 · The paper itself

Abstract

backgroundMassive transfusion protocols to treat postinjury hemorrhage are based on predefined blood product transfusion ratios followed by goal-directed transfusion based on patient's clinical evolution. However, it remains unclear how these transfusion ratios impact patient outcomes over time from injury.

methodsThe Pragmatic, Randomized Optimal Platelet and Plasma Ratios (PROPPR) is a phase 3, randomized controlled trial, across 12 Level I trauma centers in North America. From 2012 to 2013, 680 severely injured patients required massive transfusion. We used semiparametric machine learning techniques and causal inference methods to augment the intent-to-treat analysis of PROPPR, estimating the dynamic relationship between transfusion ratios and outcomes: mortality and hemostasis at different timepoints during the first 24 hours after admission.

resultsIn the intention-to-treat analysis, the 1:1:1 group tended to have decreased mortality, but with no statistical significance. For patients in whom hemostasis took longer than 2 hours, the 1:1:1 ratio was associated with a higher probability of hemostasis, statistically significant from the 4 hour on. In the per-protocol, actual-transfusion-ratios-received analysis, during four successive time intervals, no significant association was found between the actual ratios and mortality. When comparing patient groups who received both high plasma/PRBC and high platelet/PRBC ratios to the group of low ratios in both, the relative risk of achieving hemostasis was 2.49 (95% confidence interval, 1.19-5.22) during the third hour after admission, suggesting a significant beneficial impact of higher transfusion ratios of plasma and platelets on hemostasis.

conclusionOur results suggest that the impact of transfusion ratios on hemostasis is dynamic. Overall, the transfusion ratios had no significant impact on mortality over time. However, receiving higher ratios of platelets and plasma relative to red blood cells hastens hemostasis in subjects who have yet to achieve hemostasis within 3 hours after hospital admission. LEVEL OF EVIDENCE: Therapeutic IV.

Indexed as

Machine LearningBlood Component TransfusionBlood PlateletsErythrocytesFemaleHemorrhageHemostasisHumansIntention to Treat AnalysisMaleNorth AmericaPlasmaTrauma CentersWounds and Injuries

Identifiers

PMID32520897
PMCPMC7830749

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.