Evidence map›Paper›PMID 29720187›Full record

ArticleBiomedical engineering online2018

Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis.

Massimo Capoccia, Silvia Marconi, Sanjeet Avtaar Singh, Domenico M Pisanelli, Claudio De Lazzari

Abstract read
In one paragraph

Article in Biomedical engineering online, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. IABP versus Impella Support in Cardiogenic Shock: "In Silico" Study.Journal of cardiovascular development and disease · 2023
    Article
  4. Article
  5. CARDIOSIMBioengineering (Basel, Switzerland) · 2022
    Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. In silico study of airway/lung mechanics in normal human breathing.Mathematics and computers in simulation · 2020
    Article
  11. Article
  12. Article
  13. 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

5 authors.

Massimo CapocciaDepartment of Cardiac Surgery, University Hospitals of Leicester NHS Trust, Leicester, UK.
Silvia MarconiNational Research Council, Institute of Clinical Physiology, Rome, Italy.
Sanjeet Avtaar SinghGolden Jubilee National Hospital, Clydebank, Glasgow, UK.
Domenico M PisanelliNational Research Council, Institute of Cognitive Sciences and Technologies, Rome, Italy.
Claudio De LazzariNational Research Council, Institute of Clinical Physiology, Rome, Italy. claudio.delazzari@ifc.cnr.it.ORCID http://orcid.org/0000-0001-5149-4109

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundModelling and simulation may become clinically applicable tools for detailed evaluation of the cardiovascular system and clinical decision-making to guide therapeutic intervention. Models based on pressure-volume relationship and zero-dimensional representation of the cardiovascular system may be a suitable choice given their simplicity and versatility. This approach has great potential for application in heart failure where the impact of left ventricular assist devices has played a significant role as a bridge to transplant and more recently as a long-term solution for non eligible candidates.

resultsWe sought to investigate the value of simulation in the context of three heart failure patients with a view to predict or guide further management. CARDIOSIM

conclusionsAlthough previous experience, co-morbidities and the risk of potentially fatal complications play a role in clinical decision-making, patient-specific modelling may become a daily approach for selection and optimisation of device-based treatment for heart failure patients. Willingness to adopt this integrated approach may be the key to further progress.

Indexed as

Preoperative PeriodAdultBlood PressureHeart FailureHemodynamicsHumansMiddle AgedModels, CardiovascularRetrospective StudiesCARDIOSIM©Heart failureModellingSimulationVentricular assist device

Identifiers

PMID29720187
PMCPMC5930731

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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.