ArticleFrontiers in pharmacology2018
A New Search Method Using Association Rule Mining for Drug-Drug Interaction Based on Spontaneous Report System.
Article in Frontiers in pharmacology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 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
16 citing papers in PubMed.
- A real-world pharmacovigilance study of adverse events associated with esketamine: disproportionality analysis and detection of potential drug-drug interaction signals.European journal of clinical pharmacology · 2025Article
- A Dose-Aware Model for Revealing Dose-Risk Relationship of Drug-Drug Interaction.CPT: pharmacometrics & systems pharmacology · 2025Article
- Possible Association Between Concomitant Use of SSRIs with NSAIDs and an Increased Risk of Adverse Events Among People with Depressive Disorders: Data Mining of FDA Adverse Event Reporting System.Pharmaceuticals (Basel, Switzerland) · 2025Article
- The Artificial Intelligence-Powered New Era in Pharmaceutical Research and Development: A Review.AAPS PharmSciTech · 2024Review
- Article
- Artificial Intelligence in Pharmaceutical Technology and Drug Delivery Design.Pharmaceutics · 2023Review
- Detecting Drug-Drug Interactions in COVID-19 Patients.Studies in health technology and informatics · 2022Article
- Advancing drug safety science by integrating molecular knowledge with post-marketing adverse event reports.CPT: pharmacometrics & systems pharmacology · 2022Review
- Angioedema Caused by Drugs That Prevent the Degradation of Vasoactive Peptides: A Pharmacovigilance Database Study.Journal of clinical medicine · 2021Article
- Discovering symptom patterns of COVID-19 patients using association rule mining.Computers in biology and medicine · 2021Article
- Differences in detected safety signals between benzodiazepines and non-benzodiazepine hypnotics: pharmacovigilance study using a spontaneous reporting system.International journal of medical sciences · 2021Article
- Improved Detection Criteria for Detecting Drug-Drug Interaction Signals Using the Proportional Reporting Ratio.Pharmaceuticals (Basel, Switzerland) · 2020Article
- Subset Analysis for Screening Drug-Drug Interaction Signal Using Pharmacovigilance Database.Pharmaceutics · 2020Article
- Association between dipeptidyl peptidase-4 inhibitor and aspiration pneumonia: disproportionality analysis using the spontaneous reporting system in Japan.European journal of clinical pharmacology · 2020Article
- Review of Statistical Methodologies for Detecting Drug-Drug Interactions Using Spontaneous Reporting Systems.Frontiers in pharmacology · 2019Review
- Signals of gastroesophageal reflux disease caused by incretin-based drugs: a disproportionality analysis using the Japanese adverse drug event report database.Journal of pharmaceutical health care and sciences · 2018Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
PubMed holds no abstract for this paper.
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.