Evidence map›Paper›PMID 37824182›Full record

Trial reportJournal of medical Internet research2023

Coagulation Management of Critically Bleeding Patients With Viscoelastic Testing Presented as a 3D-Animated Blood Clot (The Visual Clot): Randomized Controlled High-Fidelity Simulation Study.

Clara Castellucci, Amos Malorgio, Alexandra Dinah Budowski, Samira Akbas, Michaela Kolbe, Bastian Grande, Julia Braun, Christoph B Noethiger, Donat R Spahn, David Werner Tscholl and 1 more

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in Journal of medical Internet research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.6field-weighted citation impact, top 32% of its field
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

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Review
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 at 1 institution in 1 country.

Clara CastellucciInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0517-6609
Amos MalorgioInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1355-6804
Alexandra Dinah BudowskiInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-9721-3461
Samira AkbasInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-7692-4718
Michaela KolbeSimulation Centre, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-6654-6370
Bastian GrandeInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0003-2935-1317
Julia BraunDepartment of Epidemiology, Epidemiology, Biostatistics and Prevention Institute, University of Zurich, Zurich, Switzerland.ORCID 0000-0001-8359-6177
Christoph B NoethigerInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-0336-1421
Donat R SpahnInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-4782-183X
David Werner TschollInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-3677-3705
Tadzio Raoul RocheInstitute of Anaesthesiology, University Hospital Zurich, University of Zurich, Zurich, Switzerland.ORCID 0000-0002-1072-5748
University of Zurich · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGuidelines recommend using viscoelastic coagulation tests to guide coagulation management, but interpreting the results remains challenging. Visual Clot, a 3D animated blood clot, facilitates interpretation through a user-centered and situation awareness-oriented design.

objectiveThis study aims to compare the effects of Visual Clot versus conventional viscoelastic test results (rotational thrombelastometry [ROTEM] temograms) on the coagulation management performance of anesthesia teams in critical bleeding situations.

methodsWe conducted a prospective, randomized, high-fidelity simulation study in which anesthesia teams (consisting of a senior anesthesiologist, a resident anesthesiologist, and an anesthesia nurse) managed perioperative bleeding scenarios. Teams had either Visual Clot or ROTEM temograms available to perform targeted coagulation management. We analyzed the 15-minute simulations with post hoc video analysis. The primary outcome was correct targeted coagulation therapy. Secondary outcomes were time to targeted coagulation therapy, confidence, and workload. In addition, we have conducted a qualitative survey on user acceptance of Visual Clot. We used Poisson regression, Cox regression, and mixed logistic regression models, adjusted for various potential confounders, to analyze the data.

resultsWe analyzed 59 simulations. Teams using Visual Clot were more likely to deliver the overall targeted coagulation therapy correctly (rate ratio 1.56, 95% CI 1.00-2.47; P=.05) and administer the first targeted coagulation product faster (hazard ratio 2.58, 95% CI 1.37-4.85; P=.003). In addition, participants showed higher decision confidence with Visual Clot (odds ratio 3.60, 95% CI 1.49-8.71; P=.005). We found no difference in workload (coefficient -0.03, 95% CI -3.08 to 2.88; P=.99).

conclusionsUsing Visual Clot led to a more accurate and faster-targeted coagulation therapy than using ROTEM temograms. We suggest that relevant viscoelastic test manufacturers consider augmenting their complex result presentation with intuitive, easy-to-understand visualization to ease users' burden from unnecessary cognitive load and enhance patient care.

Indexed as

High Fidelity Simulation TrainingThrombosisBlood CoagulationHumansProspective StudiesThrombelastographyavatar technologycoagulation managementhigh-fidelity simulationpoint-of-care testingthrombelastographyuser-centered designVisual Clot

Identifiers

PMID37824182
PMCPMC10603564
OpenAlexW4386510886

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.