ArticlePharmaceutical research2020
Comparison of Signal Detection Algorithms Based on Frequency Statistical Model for Drug-Drug Interaction Using Spontaneous Reporting Systems.
Article in Pharmaceutical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 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
57 citing papers in PubMed, 78 citations in OpenAlex.
- QT Prolongation, Ventricular Arrhythmia, and Cardiac Arrest Signals During Ceftriaxone Co-therapy with Individual Proton Pump Inhibitors: A Multidatabase Study.Cardiovascular toxicology · 2026Observational
- Mining safety signals of PD-1/PD-L1 inhibitor-related adrenal insufficiency: a study based on the FAERS database.Journal of endocrinological investigation · 2026Article
- The safety profile of lenalidomide, dexamethasone, daratumumab, and bortezomib combinations in multiple myeloma: a retrospective analysis of the FAERS database.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- A real-world pharmacovigilance study of dacomitinib based on FDA adverse event reporting system (FAERS) database.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Identifying High-Risk Medications for Drug-Induced Dystonia: A 20-Year Retrospective Real-World Pharmacovigilance Study Based on FAERS.Health science reports · 2026Article
- Real-world safety of satralizumab in neuromyelitis optica spectrum disorder: a FAERS-based risk stratification study.Journal of neurology · 2026Article
- Association of GnRH agonists with depression and suicide/self-injury: a FAERS pharmacovigilance study.Endocrine connections · 2026Article
- Drug combination choices of 5α-reductase inhibitors and α-blockers in patients with benign prostatic hyperplasia: a study based on the FAERS database.Frontiers in medicine · 2026Article
- Comparative pharmacovigilance of non-benzodiazepine receptor agonists versus dual orexin receptor antagonists for insomnia in older adults.Frontiers in pharmacology · 2026Article
- Pharmacovigilance analysis of central nervous system adverse events associated with sevoflurane and drug interactions: a disproportionality study based on the FDA adverse event reporting system (FAERS) database.Frontiers in pharmacology · 2026Article
- Drug-drug interactions between sex hormones and analgesics linked to thromboembolic events: an FDA adverse event reporting system analysis.Frontiers in pharmacology · 2026Article
- Comprehensive pharmacovigilance assessment of pairwise drug-drug interactions and acute pancreatitis in the FDA adverse event reporting system: focus on incretin-based drugs.Frontiers in drug safety and regulation · 2026Article
- Seizures associated with clozapine augmentation by other antipsychotics: a pharmacovigilance-pharmacodynamic analysis using VigiBase.Therapeutic advances in psychopharmacology · 2026Article
- Higher risk of gastrointestinal stenosis and obstruction in clozapine-treated individuals with schizophrenia: a pharmacovigilance study based on the FDA adverse event reporting system database.Naunyn-Schmiedeberg's archives of pharmacology · 2026Article
- Detection of clinically significant drug-drug interactions in serotonin syndrome: a multisource real-world data and pharmacovigilance study.Therapeutic advances in drug safety · 2026Article
- Exploratory assessment of bleeding risk associated with concurrent use of Anti-VEGF agents and anticoagulants in oncology.Frontiers in pharmacology · 2026Article
- The toxicity profile and temporal dynamics of dual PD-1/CTLA-4 immune checkpoint blockade: a real-world pharmacovigilance study using the FAERS database.Frontiers in immunology · 2026Article
- Argatroban-Associated Adverse Events: An Analysis Based on FDA Adverse Event Reporting System (FAERS).Cardiovascular toxicology · 2025Article
- Exploring potential associations between GLP-1RAs and depressive disorders: a pharmacovigilance study based on FAERS and VigiBase data.EClinicalMedicine · 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
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
purposeAdverse events (AEs) caused by polypharmacy have recently become a clinical problem, and it is important to monitor the safety profile of drug-drug interactions (DDIs). Mining signals using the spontaneous reporting systems is a very effective method for single drug-induced AE monitoring as well as early detection of DDIs. The objective of this study was to compare signal detection algorithms for DDIs based on frequency statistical models.
methodsFive frequency statistical models: the Ω shrinkage measure, additive (risk difference), multiplicative (risk ratio), combination risk ratio, and chi-square statistics models were compared using the Japanese Adverse Drug Event Report (JADER) database as the spontaneous reporting system in Japan. The drugs targeted for the survey are all registered and classified as "suspect drugs" in JADER, and the AEs targeted for this study were the same as those in a previous study on Stevens-Johnson syndrome (SJS).
resultsOf 3924 pairs that reported SJS, the number of signals detected by the Ω shrinkage measure, additive, multiplicative, combination risk ratio, and chi-square statistics models was 712, 3298, 2252, 739, and 1289 pairs, respectively. Among the five models, the Ω shrinkage measure model showed the most conservative signal detection tendency.
conclusionSpecifically, caution should be exercised when the number of reports is low because results differ depending on the statistical models. This study will contribute to the selection of appropriate statistical models to detect signals of potential DDIs.
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.