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Showing 1 to 7 of 7 for “"FAERS"”.

  1. Translational high-dimesional drug interaction discovery and validation using health record databases and pharmacokinetics models

    … risk of myopathy were identified in the FAERS and EMR databases by a mixture drug-count response model (MDCM) model. Twenty-eight 3-way and 43 4-way DDI’s increased ratio of area under plasma concentration–time curve (AUCR) >2-fold and had significant myopathy risk in both databases. The …

    iupui Repository record for Translational high-dimesional drug interaction discovery and validation using health record databases and pharmacokinetics models (opens in a new tab)

  2. An Economic and Regulatory Analysis of Gene Therapy Products Authorized by the US Food and Drug Administration and the European Medicines Agency

    … to the FDA Adverse Event Reporting System (FAERS), and assessed the cost-effectiveness analysis of three gene therapies axicabtagene ciloleucel(axi-cel), lisocabtagene maraleucel (liso-cel), and tisagenlecleucel (tisa-cel).</p> <p>Research Design: For aim 1; data was collected using …

    chapman Repository record for An Economic and Regulatory Analysis of Gene Therapy Products Authorized by the US Food and Drug Administration and the European Medicines Agency (opens in a new tab)

  3. Incidence of adverse drug events in COVID-19 patients on anticoagulants: a pharmacovigilance study

    … from the FDA’s Adverse Event Reporting System (FAERS) Public Database. Chi-square test of association was performed to determine associations of race, sex and hospitalization rate with the adverse outcome variables. Proportional Reporting Ratios (PRR) and lower 95% confidence intervals (Lower …

    umkc Repository record for Incidence of adverse drug events in COVID-19 patients on anticoagulants: a pharmacovigilance study (opens in a new tab)

  4. THE ROLE OF HYPOGLYCEMIC AGENTS IN AMELIORATING COGNITIVE FUNCTIONS AND PSYCHIATRIC SYMPTOMS: FROM THE PSYCHIATRIC PATIENT TO EVIDENCE-BASED AND PHARMACOEPIDEMIOLOGIC APPROACHES FOR SUPPORTING THE CLINICAL PRACTICE

    … PPR(p)= 1.07 (0.00), EBGM95=0.96 ERAM95=0.89 in FAERS and ROR95=1.48 PPR(p)= 1.34 (0.00) EBGM95=1.22 and ERAM95=0.86 in VigiBase]. GLP-1a and DPP-4 inhibitors (DPP-4i) resulted in better outcomes with a preference for GLP-1a for reducing the risk of major cognitive impairment (dementia) in old …

    milano Repository record for THE ROLE OF HYPOGLYCEMIC AGENTS IN AMELIORATING COGNITIVE FUNCTIONS AND PSYCHIATRIC SYMPTOMS: FROM THE PSYCHIATRIC PATIENT TO EVIDENCE-BASED AND PHARMACOEPIDEMIOLOGIC APPROACHES FOR SUPPORTING THE CLINICAL PRACTICE (opens in a new tab)

  5. Optimization of Signal-Detection Methods in Novel Databases: a Focus on Direct-Acting Antivirals

    … (FDA) Adverse Event Reporting System (FAERS) is a database containing ADE reports that were submitted to the FDA. The reports need to be investigated, and when working with large databases, signal detection algorithms (SDA) are used to decide which reports are significant. Signal …

    umn Repository record for Optimization of Signal-Detection Methods in Novel Databases: a Focus on Direct-Acting Antivirals (opens in a new tab)

  6. Predicting unknown adverse drug reactions using an unsupervised node embedding algorithm

    … in the knowledge graph. Using DrugBank and FAERS, I created a knowledge graph of drugs and drug attributes. To emulate drugs in the pre-marketing stage, I removed all the drug-ADR edges in the test dataset. Then, I experimented with different parameters of the node embedding algorithm and …

    mit Repository record for Predicting unknown adverse drug reactions using an unsupervised node embedding algorithm (opens in a new tab)

  7. An Expandable Stage-Based Machine Learning and Statistical Pipeline for Detecting Adverse Drug Reaction Risks on Complex Multidimensional Datasets

    Adverse Drug Reactions (ADRs) are a persistent challenge to patient safety, often escaping detection in aggregate analyses. This research introduces expandable, modular pipeline that identifies statistically significant drug–ADR associations through a multivariable, propensity-adjusted framework …

    uwo Repository record for An Expandable Stage-Based Machine Learning and Statistical Pipeline for Detecting Adverse Drug Reaction Risks on Complex Multidimensional Datasets (opens in a new tab)