ArticleClinical pharmacology and therapeutics2019
Clopidogrel Drug Interactions and Serious Bleeding: Generating Real-World Evidence via Automated High-Throughput Pharmacoepidemiologic Screening.
Article in Clinical pharmacology and therapeutics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed, 19 citations in OpenAlex.
- Signals of Venous Thromboembolism Risk from Drug-Drug Interactions Involving Benzodiazepines and Other Sedative Hypnotics: Self-Controlled Case Series Analyses.Clinical drug investigation · 2026Article
- Drug-Drug Interaction Signals for Major Bleeding in Nursing Home Residents: High-Throughput Screening of Clopidogrel and Oral Anticoagulants.Pharmacoepidemiology and drug safety · 2026Article
- Exploring Risks of Adverse Drug Events From Single Drug to Three-Drug Combination.Clinical and translational science · 2026Article
- High-Throughput Screening Using the Self-Controlled Tree-Based Scan Statistic to Identify Medications Associated With Hospitalization for Severe Acute Liver Injury.Pharmacoepidemiology and drug safety · 2025Article
- High-Throughput Computing to Detect Harmful Drug-Drug Interactions in Older Adults: Protocol for a Population-Based Cohort Study.JMIR research protocols · 2025Article
- Grace periods and exposure misclassification in self-controlled case-series studies of drug-drug interactions.American journal of epidemiology · 2025Article
- Thinking Three-Dimensionally: A Self- and Externally-Controlled Approach to Screening for Drug-Drug-Drug Interactions Among High-Risk Populations.Clinical pharmacology and therapeutics · 2024Article
- The State of Use and Utility of Negative Controls in Pharmacoepidemiologic Studies.American journal of epidemiology · 2024Review
- Skeletal muscle relaxant drug-drug-drug interactions and unintentional traumatic injury: Screening to detect three-way drug interaction signals.British journal of clinical pharmacology · 2022Article
- Population-based signals of benzodiazepine drug interactions associated with unintentional traumatic injury.Journal of psychiatric research · 2022Article
- Signals of Muscle Relaxant Drug Interactions Associated with Unintentional Traumatic Injury: A Population-Based Screening Study.CNS drugs · 2022Article
- Opioid Drug-Drug-Drug Interactions and Unintentional Traumatic Injury: Screening to Detect Three-Way Drug Interaction Signals.Frontiers in pharmacology · 2022Article
- Population-Based Signals of Antidepressant Drug Interactions Associated With Unintentional Traumatic Injury.Clinical pharmacology and therapeutics · 2021Article
- Evaluation of serious bleeding signals during concomitant use of clopidogrel and hypnotic drugs.Biomedicine & pharmacotherapy = Biomedecine & pharmacotherapie · 2021Article
- Drug-Drug Interaction Surveillance Study: Comparing Self-Controlled Designs in Five Empirical Examples in Real-World Data.Clinical pharmacology and therapeutics · 2021Article
- Pharmacoepidemiologic Screening of Potential Oral Anticoagulant Drug Interactions Leading to Thromboembolic Events.Clinical pharmacology and therapeutics · 2020Article
- Using the Causal Inference Framework to Support Individualized Drug Treatment Decisions Based on Observational Healthcare Data.Clinical epidemiology · 2020Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors at 2 institutions in 1 country.
Funding
Abstract
Few population-based studies have examined bleeding associated with clopidogrel drug-drug interactions (DDIs). We sought to identify precipitant drugs taken concomitantly with clopidogrel (an object drug) that increased serious bleeding rates. We screened 2000-2015 Optum commercial health insurance claims to identify DDI signals. We performed self-controlled case series studies for clopidogrel plus precipitant pairs, examining associations with gastrointestinal bleeding or intracranial hemorrhage. To distinguish native bleeding effects of a precipitant, we reexamined associations using pravastatin as a negative control object drug. Among 431 analyses, 28 clopidogrel plus precipitant pairs were statistically significantly positively associated with serious bleeding. Ratios of rate ratios ranged from 1.13-3.94. Among these pairs, 13 were expected given precipitant drugs alone increased and/or were harbingers of serious bleeding. The remaining 15 pairs constituted new DDI signals, none of which are currently listed in two major DDI knowledge bases.
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.