Evidence map›Paper›PMID 27653041›Full record

ArticleJournal of medical systems2016

Simulation of Trauma Incidents : Modelling the Evolution of Patients and Resources.

Alessandro Borri, Simona Panunzi, Rachele Brancaleoni, Daniele Gui, Sabina Magalini, Claudio R Gaz, Andrea De Gaetano

Abstract read
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In one paragraph

Article in Journal of medical systems, 2016. 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

7 authors.

Alessandro BorriCNR-IASI Biomathematics Laboratory (BioMatLab), Largo A. Gemelli 8, 00168, Rome, Italy. alessandro.borri@biomatematica.it.
Simona PanunziCNR-IASI Biomathematics Laboratory (BioMatLab), Largo A. Gemelli 8, 00168, Rome, Italy.
Rachele BrancaleoniCatholic University of the Sacred Heart (UCSC), Largo A. Gemelli 8, 00168, Rome, Italy.
Daniele GuiCatholic University of the Sacred Heart (UCSC), Largo A. Gemelli 8, 00168, Rome, Italy.
Sabina MagaliniCatholic University of the Sacred Heart (UCSC), Largo A. Gemelli 8, 00168, Rome, Italy.
Claudio R GazCNR-IASI Biomathematics Laboratory (BioMatLab), Largo A. Gemelli 8, 00168, Rome, Italy.
Andrea De GaetanoCNR-IASI Biomathematics Laboratory (BioMatLab), Largo A. Gemelli 8, 00168, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical modeling and simulation with medical applications has gained much interest in the last few years, mainly due to the widespread availability of low-cost technology and computational power. This paper presents an integrated platform for the in-silico simulation of trauma incidents, based on a suite of interacting mathematical models. The models cover the generation of a scenario for an incident, a model of physiological evolution of the affected individuals, including the possible effect of the treatment, and a model of evolution in time of the required medical resources. The problem of optimal resource allocation is also investigated. Model parameters have been identified according to the expertise of medical doctors and by reviewing some related literature. The models have been implemented and exposed as web services, while some software clients have been built for the purpose of testing. Due to its extendability, our integrated platform highlights the potential of model-based simulation in different health-related fields, such as emergency medicine and personal health systems. Modifications of the models are already being used in the context of two funded projects, aiming at evaluating the response of health systems to major incidents with and without model-based decision support.

Indexed as

Computer SimulationModels, TheoreticalDisaster PlanningHealth Care RationingHumansWounds and InjuriesMathematical modelingPersonalized medicineSimulationTrauma incidentsWeb services

Identifiers

PMID27653041

What OpenQuestion holds

Textmetadata
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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.