Analysis of drug combinations: current methodological landscape
By Julie Foucquier, Mickaël Guedj. Pharmacology Research & Perspectives, 2015
1,024 citations recorded by the source corpus.
Combination therapies exploit the chances for better efficacy, decreased toxicity, and reduced development of drug resistance and owing to these advantages, have become a standard for the treatment of several diseases and continue to represent a promising approach in indications of unmet medical need. In this context, studying the effects of a combination of drugs in order to provide evidence of a significant superiority compared to the single agents is of particular interest. Research in this field has resulted in a large number of papers and revealed several issues. Here, we propose an overview of the current methodological landscape concerning the study of combination effects. First, we aim to provide the minimal set of mathematical and pharmacological concepts necessary to understand the most commonly used approaches, divided into effect‐based approaches and dose–effect‐based approaches, and introduced in light of their respective practical advantages and limitations. Then, we discuss six main common methodological issues that scientists have to face at each step of the development of new combination therapies. In particular, in the absence of a reference methodology suitable for all biomedical situations, the analysis of drug combinations should benefit from a collective, appropriate, and rigorous application of the concepts and methods reviewed here.
Subfields: Computational Theory and Mathematics, Pharmacology, Statistics and Probability
View Paper: https://www.semanticscholar.org/paper/b929c044d4c453dff0bc00cc69f20891e68b9c1b
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computational Theory and Mathematics
In Pharmacology
Citations in the corpus
- SynergyFinder 2.0: visual analytics of multi-drug combination synergies (2020, background): “Additionally, understanding the contribution of each drug in a cock-tail to the joint response requires a systematic assessment of all the sub-combinations (32).”