ArticleClinical pharmacology and therapeutics2012
The need for translational research on drug-drug interactions.
Article in Clinical pharmacology and therapeutics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Drug-drug interaction study of ACT-178882, a new renin inhibitor, and diltiazem in healthy subjects.Clinical drug investigation · 2013Trial
- Berberine-Drug Interactions: Mechanisms, Clinical Relevance and Risk Stratification-A Narrative Review.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Evaluation of Drug-Drug Interactions in Pharmacoepidemiologic Research.Pharmacoepidemiology and drug safety · 2025Review
- Robust causal inference of drug-drug interactions.Statistics in medicine · 2023Article
- Translational drug-interaction corpus.Database : the journal of biological databases and curation · 2022Article
- A pharmacovigilance study of pharmacokinetic drug interactions using a translational informatics discovery approach.British journal of clinical pharmacology · 2022Review
- Translational Knowledge Discovery Between Drug Interactions and Pharmacogenetics.Clinical pharmacology and therapeutics · 2020Review
- The effect of different intensivist staffing patterns on the rate of potential drug-drug interactions in adult trauma intensive care units.Therapeutic advances in drug safety · 2020Article
- Translational Biomedical Informatics and Pharmacometrics Approaches in the Drug Interactions Research.CPT: pharmacometrics & systems pharmacology · 2018Review
- Biomedical Informatics Approaches to Identifying Drug-Drug Interactions: Application to Insulin Secretagogues.Epidemiology (Cambridge, Mass.) · 2017Article
- Pharmacoepidemiologic Methods for Studying the Health Effects of Drug-Drug Interactions.Clinical pharmacology and therapeutics · 2016Review
- Identification and Mechanistic Investigation of Drug-Drug Interactions Associated With Myopathy: A Translational Approach.Clinical pharmacology and therapeutics · 2015Article
- Extraction of pharmacokinetic evidence of drug-drug interactions from the literature.PloS one · 2015Article
- Pharmacoepidemiologic and in vitro evaluation of potential drug-drug interactions of sulfonylureas with fibrates and statins.British journal of clinical pharmacology · 2014Article
- Pharmacovigilance using clinical notes.Clinical pharmacology and therapeutics · 2013Article
Corrections and comments
- Comment on
Authors and funding
2 authors.
Funding
Abstract
Drug-drug interactions (DDIs) are an important clinical and public health concern. Although DDI screening now occurs during drug development, it is difficult to predict clinical importance based on in vitro experiments. Furthermore, older drugs that were not screened may have interactions that have not yet been identified. In this Commentary, we review the importance of DDIs and argue that a translational research approach is needed to produce clinically actionable information as well as generalizable biological knowledge.
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.