Evidence map›Paper›PMID 23334215›Full record

ReviewCardiovascular research2013

Combining wet and dry research: experience with model development for cardiac mechano-electric structure-function studies.

T Alexander Quinn, Peter Kohl

Abstract readReview
In one paragraph

Review in Cardiovascular research, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Review
  3. From AI-AssistedPharmaceuticals (Basel, Switzerland) · 2025
    Review
  4. Article
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Simulated Performance of the Cleveland Clinic Continuous-Flow Total Artificial Heart Using the Virtual Mock Loop.ASAIO journal (American Society for Artificial Internal Organs : 1992) · 2019
    Article
  11. Article
  12. Cardiac ischemia-insights from computational models.Herzschrittmachertherapie & Elektrophysiologie · 2018
    Review
  13. Article
  14. Comparing maximum rate and sustainability of pacing by mechanical vs. electrical stimulation in the Langendorff-perfused rabbit heart.Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology · 2016
    Article
  15. Rabbit models of cardiac mechano-electric and mechano-mechanical coupling.Progress in biophysics and molecular biology · 2016
    Review
  16. Article
  17. Review
  18. Review
  19. Article
  20. 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

2 authors.

T Alexander QuinnNational Heart and Lung Institute, Imperial College London, Heart Science Centre, Harefield UB9 6JH, UK. t.quinn@imperial.ac.uk
Peter Kohl

Funding

Biotechnology and Biological Sciences Research CouncilBritish Heart Foundation FS/11/50/29038British Heart Foundation FS/12/17/29532British Heart Foundation PG/09/066/27898
6 · The paper itself

Abstract

Since the development of the first mathematical cardiac cell model 50 years ago, computational modelling has become an increasingly powerful tool for the analysis of data and for the integration of information related to complex cardiac behaviour. Current models build on decades of iteration between experiment and theory, representing a collective understanding of cardiac function. All models, whether computational, experimental, or conceptual, are simplified representations of reality and, like tools in a toolbox, suitable for specific applications. Their range of applicability can be explored (and expanded) by iterative combination of 'wet' and 'dry' investigation, where experimental or clinical data are used to first build and then validate computational models (allowing integration of previous findings, quantitative assessment of conceptual models, and projection across relevant spatial and temporal scales), while computational simulations are utilized for plausibility assessment, hypotheses-generation, and prediction (thereby defining further experimental research targets). When implemented effectively, this combined wet/dry research approach can support the development of a more complete and cohesive understanding of integrated biological function. This review illustrates the utility of such an approach, based on recent examples of multi-scale studies of cardiac structure and mechano-electric function.

Indexed as

Computer SimulationModels, BiologicalSystems BiologyAction PotentialsAnimalsCalciumERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsHeartHumansIon ChannelsSinoatrial NodeVentricular Function, LeftCalciumERG1 Potassium ChannelEther-A-Go-Go Potassium ChannelsIon Channels

Identifiers

PMID23334215
PMCPMC3583260

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.