Evidence map›Paper›PMID 42466392›Full record

ArticleResearch square2026

A stochastic, physiology-based digital twin model of hemostasis and oxygenation in trauma resuscitation.

Casey Vieni, Anika Iftekharuddin, Kevin Ward, Roland Pittman, Andrew P Norgan, Matthew D Neal, Darrell Triulzi, Phillip Spinella, Jason Sperry, Mark Yazer and 1 more

Abstract readPreprint
In one paragraph

Article in Research square, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Casey VieniNew York University, Grossman School of Medicine, New York, NY.ORCID 0000-0002-1904-1254
Anika IftekharuddinLoma Linda School of Medicine, Loma Linda University, California.
Kevin WardWeil Institute for Critical Care Research and Innovation, University of Michigan, Michigan.
Roland PittmanSchool of Medicine Physiology and Biophysics, Virginia Commonwealth University.
Andrew P NorganDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.
Matthew D NealTrauma and Transfusion Medicine Center, Department of Surgery, University of Pittsburgh, Pennsylvania.
Darrell TriulziDepartment of Pathology, University of Pittsburgh, Pennsylvania.
Phillip SpinellaTrauma and Transfusion Medicine Center, Department of Surgery, University of Pittsburgh, Pennsylvania.
Jason SperryTrauma and Transfusion Medicine Center, Department of Surgery, University of Pittsburgh, Pennsylvania.
Mark YazerDepartment of Pathology, University of Pittsburgh, Pennsylvania.
Jansen SeheultDepartment of Laboratory Medicine and Pathology, Mayo Clinic, Rochester, MN.

Funding

Structural characterization of MCE mediated lipid transport across the Mycobacterial cell envelopeF30AI154907 · NIAID · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI VIENI, CASEY · 2020 to 2023
$135k
NIAID NIH HHS F30 AI154907
6 · The paper itself

Abstract

Hemorrhagic shock is a common emergency that accounts for more than 10% of global mortality and up to 40% of trauma-related mortality. The Advanced Trauma Life Support (ATLS) guidelines outline resuscitation strategies in patients with massive hemorrhage based on clinical trial and observational data. Early intervention with fluids and/or blood products is recommended during resuscitation as key to maintaining vascular patency, stabilizing a patient's blood pressure, maintaining tissue oxygenation, and limiting shock. From a transfusion perspective, there is wide heterogeneity in the quality of blood products due to donor and manufacturing variation. The optimal transfusion strategy for massive hemorrhage remains unclear.

Identifiers

PMID42466392
PMCPMC13370647

What OpenQuestion holds

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Registered trials

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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.