ArticleFrontiers in pharmacology2021
Combining a Pharmacological Network Model with a Bayesian Signal Detection Algorithm to Improve the Detection of Adverse Drug Events.
Article in Frontiers in pharmacology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
What it found
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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
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Who cites it
7 citing papers in PubMed.
- Drug spectrum and disproportionality signals for diabetes insipidus in FAERS: multi-method analysis, JADER cross-database assessment, and PubMed-based case-level evidence.Frontiers in pharmacology · 2026Article
- Reported drug spectrum and disproportionality signals for malignant neoplasm progression in FAERS: a real-world pharmacovigilance study.Frontiers in pharmacology · 2026Article
- Evaluation and study of adverse reactions to imiglucerase based on the FAERS database.Orphanet journal of rare diseases · 2025Article
- Article
- Integrative epidemiology and immunotranscriptomics uncover a risk and potential mechanism for cutaneous lymphoma unmasking or progression with dupilumab therapy.The Journal of allergy and clinical immunology · 2025Article
- Drug-induced kidney stones: a real-world pharmacovigilance study using the FDA adverse event reporting system database.Frontiers in pharmacology · 2025Article
- An Early Adverse Drug Event Detection Approach with False Discovery Rate Control.medRxiv : the preprint server for health sciences · 2023Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
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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.