Evidence map›Paper›PMID 23343002›Full record

ArticleComputer methods in biomechanics and biomedical engineering2014

An integrated approach to patient-specific predictive modeling for single ventricle heart palliation.

Chiara Corsini, Catriona Baker, Ethan Kung, Silvia Schievano, Gregory Arbia, Alessia Baretta, Giovanni Biglino, Francesco Migliavacca, Gabriele Dubini, Giancarlo Pennati and 6 more

Abstract read
In one paragraph

Article in Computer methods in biomechanics and biomedical engineering, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

  1. Trial
  2. Article
  3. Review
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Review
  15. Review
  16. Review
  17. Article
  18. Patient-specific parameter estimation in single-ventricle lumped circulation models under uncertainty.International journal for numerical methods in biomedical engineering · 2017
    Article
  19. Review
  20. 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

16 authors.

Chiara Corsinia Laboratory of Biological Structure Mechanics, Department of Structural Engineering , Politecnico di Milano, Piazza Leonardo da Vinci , 32, 20133, Milano , Italy.
Catriona Baker
Ethan Kung
Silvia Schievano
Gregory Arbia
Alessia Baretta
Giovanni Biglino
Francesco Migliavacca
Gabriele Dubini
Giancarlo Pennati
Alison Marsden
Irene Vignon-Clementel
Andrew Taylor
Tain-Yen Hsia
Adam Dorfman
Modeling of Congenital Hearts Alliance (MOCHA) Investigators

Funding

The Cardiac Atlas ProjectR01HL121754 · NHLBI · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI MCCULLOCH, ANDREW D., OMENS, JEFFREY H. · 2014 to 2023
$5.0M
British Heart Foundation FS/12/35/29566Department of Health PDF-2012-05-430Department of Health SRF/01/018NHLBI NIH HHS R01 HL121754
6 · The paper itself

Abstract

In patients with congenital heart disease and a single ventricle (SV), ventricular support of the circulation is inadequate, and staged palliative surgery (usually 3 stages) is needed for treatment. In the various palliative surgical stages individual differences in the circulation are important and patient-specific surgical planning is ideal. In this study, an integrated approach between clinicians and engineers has been developed, based on patient-specific multi-scale models, and is here applied to predict stage 2 surgical outcomes. This approach involves four distinct steps: (1) collection of pre-operative clinical data from a patient presenting for SV palliation, (2) construction of the pre-operative model, (3) creation of feasible virtual surgical options which couple a three-dimensional model of the surgical anatomy with a lumped parameter model (LPM) of the remainder of the circulation and (4) performance of post-operative simulations to aid clinical decision making. The pre-operative model is described, agreeing well with clinical flow tracings and mean pressures. Two surgical options (bi-directional Glenn and hemi-Fontan operations) are virtually performed and coupled to the pre-operative LPM, with the hemodynamics of both options reported. Results are validated against postoperative clinical data. Ultimately, this work represents the first patient-specific predictive modeling of stage 2 palliation using virtual surgery and closed-loop multi-scale modeling.

Indexed as

Fontan ProcedureModels, CardiovascularComputer SimulationHeart VentriclesHemodynamicsHumansInfantPalliative Carecomputational fluid dynamicscongenital heart diseaselumped parameter networkmulti-scale modelvirtual surgery

Identifiers

PMID23343002
PMCPMC4242799

What OpenQuestion holds

Textmetadata
LicenceTDM
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.