ReviewCritical reviews in biomedical engineering2011
Cardiac models in drug discovery and development: a review.
Review in Critical reviews in biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed, 36 citations in OpenAlex.
- Computational modelling for improved translation of cardiac inotropic and lusitropic drug effects from rats to humans.Journal of pharmacological and toxicological methods · 2025Article
- Network model-based screen for FDA-approved drugs affecting cardiac fibrosis.CPT: pharmacometrics & systems pharmacology · 2021Article
- Humans Vary, So Cardiac Models Should Account for That Too!Frontiers in physiology · 2017Review
- Multi-scale Modeling of the Cardiovascular System: Disease Development, Progression, and Clinical Intervention.Annals of biomedical engineering · 2016Article
- Generating an in vitro 3D cell culture model from zebrafish larvae for heart research.The Journal of experimental biology · 2015Article
- Implementation of quantitative and systems pharmacology in large pharma.CPT: pharmacometrics & systems pharmacology · 2014Review
- Mathematical modeling of physiological systems: an essential tool for discovery.Life sciences · 2014Review
- Combining wet and dry research: experience with model development for cardiac mechano-electric structure-function studies.Cardiovascular research · 2013Review
- Application of cardiac electrophysiology simulations to pro-arrhythmic safety testing.British journal of pharmacology · 2012Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
Cardiovascular diseases are among the leading causes of death in the developed world. Developing novel therapies for diseases like heart failure is crucial, but this is hampered by the high attrition rate in drug development. The withdrawal of drugs at the final hurdle of approval is mostly because of their unpredictable effects on normal cardiac rhythm. The advent of cardiac computational modeling in the last 5 decades has aided the understanding of heart function significantly. Recently, these models increasingly have been applied toward designing and understanding therapies for cardiac disease. This article will discuss how cellular models of electrophysiology, cell signaling, and metabolism have been used to investigate pharmacologic therapies for cardiac diseases including arrhythmia, ischemia, and heart failure.
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.