ReviewExperimental physiology2009
The Cardiac Physiome: perspectives for the future.
Review in Experimental physiology, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.
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.
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.
Who cites it
39 citing papers in PubMed.
- Computational modelling of biological systems now and then: revisiting tools and visions from the beginning of the century.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2025Review
- CARDIOSIMBioengineering (Basel, Switzerland) · 2022Review
- Applications of artificial intelligence in cardiovascular imaging.Nature reviews. Cardiology · 2021Review
- Considering discrepancy when calibrating a mechanistic electrophysiology model.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Article
- An audit of uncertainty in multi-scale cardiac electrophysiology models.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2020Review
- Simulation as a preoperative planning approach in advanced heart failure patients. A retrospective clinical analysis.Biomedical engineering online · 2018Article
- Next-generation, personalised, model-based critical care medicine: a state-of-the art review of in silico virtual patient models, methods, and cohorts, and how to validation them.Biomedical engineering online · 2018Review
- Systems Medicine-Complexity Within, Simplicity Without.Journal of healthcare informatics research · 2017Article
- Uncertainty and variability in computational and mathematical models of cardiac physiology.The Journal of physiology · 2016Article
- Understanding the physiology of the ageing individual: computational modelling of changes in metabolism and endurance.Interface focus · 2016Review
- Article
- CARFMAP: A Curated Pathway Map of Cardiac Fibroblasts.PloS one · 2015Article
- Bridging the gaps in systems biology.Molecular genetics and genomics : MGG · 2014Review
- Cell-cell interaction in the heart via Wnt/β-catenin pathway after cardiac injury.Cardiovascular research · 2014Review
- Computational modeling of inhibition of voltage-gated Ca channels: identification of different effects on uterine and cardiac action potentials.Frontiers in physiology · 2014Article
- JSim, an open-source modeling system for data analysis.F1000Research · 2013Article
- Modeling to link regional myocardial work, metabolism and blood flows.Annals of biomedical engineering · 2012Review
- Comparative computational modeling of airflows and vapor dosimetry in the respiratory tracts of rat, monkey, and human.Toxicological sciences : an official journal of the Society of Toxicology · 2012Article
- A theory of biological relativity: no privileged level of causation.Interface focus · 2012Article
- Minimum Information about a Cardiac Electrophysiology Experiment (MICEE): standardised reporting for model reproducibility, interoperability, and data sharing.Progress in biophysics and molecular biology · 2011Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
The Physiome Project, exemplified by the Cardiac Physiome, is now 10 years old. In this article, we review past progress and future challenges in developing a quantitative framework for understanding human physiology that incorporates both genetic inheritance and environmental influence. Despite the enormity of the challenge, which is certainly greater than that facing the pioneers of the human genome project 20 years ago, there is reason for optimism that real and accelerating progress is being made.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.