ArticleFrontiers in pharmacology2019
E-Synthesis: A Bayesian Framework for Causal Assessment in Pharmacosurveillance.
Article in Frontiers in pharmacology, 2019. 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
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
7 citing papers in PubMed.
- Causal Inference Tools for Pharmacovigilance: Using Causal Graphs to Identify and Address Biases in Disproportionality Analysis.Drug safety · 2026Article
- Opioid use disorder prevalence in 57 New York counties from 2017 to 2019: A Bayesian evidence synthesis.Drug and alcohol dependence · 2025Article
- Fast Methods for Drug Approval: Research Perspectives for Pandemic Preparedness.International journal of environmental research and public health · 2023Article
- What is the prevalence of and trend in opioid use disorder in the United States from 2010 to 2019? Using multiplier approaches to estimate prevalence for an unknown population size.Drug and alcohol dependence reports · 2022Article
- The use of mechanistic reasoning in assessing coronavirus interventions.Journal of evaluation in clinical practice · 2021Article
- EA3: A softmax algorithm for evidence appraisal aggregation.PloS one · 2021Article
- New Insights in Computational Methods for Pharmacovigilance:International journal of environmental research and public health · 2019Article
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.
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.