Evidence map›Paper›PMID 39331637›Full record

ArticlePloS one2024

Modelling the effects of 4-factor prothrombin complex concentrate for the management of factor Xa-associated bleeding.

Ineke Muir, Eva Herzog, Markus Brechmann, Oliver Ghobrial, Alireza Rezvani Sharif, Maureane Hoffman

Abstract read
In one paragraph

Article in PloS one, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Ineke MuirCSL Innovations Pty Ltd, Victoria, Australia.ORCID 0000-0002-8209-1385
Eva HerzogCSL Behring LLC, King of Prussia, PA, United States of America.
Markus BrechmannCSL Behring Innovation GmbH, Marburg, Germany.
Oliver GhobrialCSL Behring LLC, King of Prussia, PA, United States of America.
Alireza Rezvani SharifCSL Innovations Pty Ltd, Victoria, Australia.
Maureane HoffmanDepartment of Pathology, Duke University School of Medicine, Durham, NC, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The management of factor Xa (FXa) inhibitor-associated bleeding remains a clinical challenge. Massive bleeding is often associated with complex coagulopathy and, thus, the sole reversal of FXa inhibitors might not be sufficient to restore hemostasis, requiring instead a multimodal approach. Four-factor prothrombin complex concentrate (4F-PCC) is widely recognized as a viable treatment option for FXa inhibitor-associated bleeding. Here, we applied computational models to explore the effect 4F-PCC has on the coagulation cascade and restoration of thrombin generation in a system that simulates a patient that has received a FXa inhibitor. The coagulation model is largely based on a previously developed model with modifications incorporated from various other published sources. The model was calibrated and validated using data from a phase 3 clinical trial of vitamin K antagonist reversal with 4F-PCC. Using the parameters and initial conditions determined during the calibration and validation process, the prothrombin time (PT) test simulations predicted a PT of 11.4 seconds. The model successfully simulated the effects of rivaroxaban and apixaban on total thrombin concentration and showed that 4F-PCC increased thrombin generation in the presence of rivaroxaban or apixaban.

Indexed as

Blood Coagulation FactorsFactor Xa InhibitorsHemorrhageThrombinBlood CoagulationFactor XaHumansModels, BiologicalProthrombin TimePyrazolesPyridonesRivaroxabanapixabanBlood Coagulation FactorsFactor XaFactor Xa Inhibitorsprothrombin complex concentratesPyrazolesPyridonesRivaroxabanThrombin

Identifiers

PMID39331637
PMCPMC11432878

What OpenQuestion holds

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LicenceCC BY
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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.